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1 # REMAP <a name="remap" />
2
3 <!-- hide -->
4 * <https://bugs.libre-soc.org/show_bug.cgi?id=143> matrix multiply
5 * <https://bugs.libre-soc.org/show_bug.cgi?id=867> add svindex
6 * <https://bugs.libre-soc.org/show_bug.cgi?id=885> svindex in simulator
7 * <https://bugs.libre-soc.org/show_bug.cgi?id=911> offset svshape option
8 * <https://bugs.libre-soc.org/show_bug.cgi?id=864> parallel reduction
9 * <https://bugs.libre-soc.org/show_bug.cgi?id=930> DCT/FFT "strides"
10 * see [[sv/remap/appendix]] for examples and usage
11 * see [[sv/propagation]] for a future way to apply REMAP
12 * [[remap/discussion]]
13 <!-- show -->
14
15 REMAP is an advanced form of Vector "Structure Packing" that provides
16 hardware-level support for commonly-used *nested* loop patterns that would
17 otherwise require full inline loop unrolling. For more general reordering
18 an Indexed REMAP mode is available (an abstracted analog to `xxperm`).
19
20 REMAP allows the usual sequential vector loop `0..VL-1` to be "reshaped"
21 (re-mapped) from a linear form to a 2D or 3D transposed form, or "offset"
22 to permit arbitrary access to elements (when elwidth overrides are
23 used), independently on each Vector src or dest register. Aside from
24 Indexed REMAP this is entirely Hardware-accelerated reordering and
25 consequently not costly in terms of register access. It will however
26 place a burden on Multi-Issue systems but no more than if the equivalent
27 Scalar instructions were explicitly loop-unrolled without SVP64, and
28 some advanced implementations may even find the Deterministic nature of
29 the Scheduling to be easier on resources.
30
31 The initial primary motivation of REMAP was for Matrix Multiplication,
32 reordering of sequential data in-place: in-place DCT and FFT were
33 easily justified given the exceptionally high usage in Computer Science.
34 Four SPRs are provided which may be applied to any GPR, FPR or CR Field so
35 that for example a single FMAC may be used in a single hardware-controlled
36 100% Deterministic loop to perform 5x3 times 3x4 Matrix multiplication,
37 generating 60 FMACs *without needing explicit assembler unrolling*.
38 Additional uses include regular "Structure Packing" such as RGB pixel
39 data extraction and reforming (although less costly vec2/3/4 reshaping
40 is achievable with `PACK/UNPACK`).
41
42 REMAP, like all of SV, is abstracted out, meaning that unlike traditional
43 Vector ISAs which would typically only have a limited set of instructions
44 that can be structure-packed (LD/ST and Move operations
45 being the most common), REMAP may be applied to
46 literally any instruction: CRs, Arithmetic, Logical, LD/ST, even
47 Vectorised Branch-Conditional.
48
49 When SUBVL is greater than 1 a given group of Subvector
50 elements are kept together: effectively the group becomes the
51 element, and with REMAP applying to elements
52 (not sub-elements) each group is REMAPed together.
53 Swizzle *can* however be applied to the same
54 instruction as REMAP, providing re-sequencing of
55 Subvector elements which REMAP cannot. Also as explained in [[sv/mv.swizzle]], [[sv/mv.vec]] and the [[svp64/appendix]], Pack and Unpack Mode bits
56 can extend down into Sub-vector elements to influence vec2/vec3/vec4
57 sequential reordering, but even here, REMAP reordering is not *individually*
58 extended down to the actual sub-vector elements themselves.
59 This keeps the relevant Predicate Mask bit applicable to the Subvector
60 group, just as it does when REMAP is not active.
61
62 In its general form, REMAP is quite expensive to set up, and on some
63 implementations may introduce latency, so should realistically be used
64 only where it is worthwhile. Given that even with latency the fact
65 that up to 127 operations can be Deterministically issued (from a single
66 instruction) it should be clear that REMAP should not be dismissed
67 for *possible* latency alone. Commonly-used patterns such as Matrix
68 Multiply, DCT and FFT have helper instruction options which make REMAP
69 easier to use.
70
71 There are four types of REMAP:
72
73 * **Matrix**, also known as 2D and 3D reshaping, can perform in-place
74 Matrix transpose and rotate. The Shapes are set up for an "Outer Product"
75 Matrix Multiply.
76 * **FFT/DCT**, with full triple-loop in-place support: limited to
77 Power-2 RADIX
78 * **Indexing**, for any general-purpose reordering, also includes
79 limited 2D reshaping as well as Element "offsetting".
80 * **Parallel Reduction**, for scheduling a sequence of operations
81 in a Deterministic fashion, in a way that may be parallelised,
82 to reduce a Vector down to a single value.
83
84 Best implemented on top of a Multi-Issue Out-of-Order Micro-architecture,
85 REMAP Schedules are 100% Deterministic **including Indexing** and are
86 designed to be incorporated in between the Decode and Issue phases,
87 directly into Register Hazard Management.
88
89 As long as the SVSHAPE SPRs
90 are not written to directly, Hardware may treat REMAP as 100%
91 Deterministic: all REMAP Management instructions take static
92 operands (no dynamic register operands)
93 with the exception of Indexed Mode, and even then
94 Architectural State is permitted to assume that the Indices
95 are cacheable from the point at which the `svindex` instruction
96 is executed.
97
98 Parallel Reduction is unusual in that it requires a full vector array
99 of results (not a scalar) and uses the rest of the result Vector for
100 the purposes of storing intermediary calculations. As these intermediary
101 results are Deterministically computed they may be useful.
102 Additionally, because the intermediate results are always written out
103 it is possible to service Precise Interrupts without affecting latency
104 (a common limitation of Vector ISAs implementing explicit
105 Parallel Reduction instructions, because their Architectural State cannot
106 hold the partial results).
107
108 ## Basic principle
109
110 * normal vector element read/write of operands would be sequential
111 (0 1 2 3 ....)
112 * this is not appropriate for (e.g.) Matrix multiply which requires
113 accessing elements in alternative sequences (0 3 6 1 4 7 ...)
114 * normal Vector ISAs use either Indexed-MV or Indexed-LD/ST to "cope"
115 with this. both are expensive (copy large vectors, spill through memory)
116 and very few Packed SIMD ISAs cope with non-Power-2
117 (Duplicate-data inline-loop-unrolling is the costly solution)
118 * REMAP **redefines** the order of access according to set
119 (Deterministic) "Schedules".
120 * Matrix Schedules are not at all restricted to power-of-two boundaries
121 making it unnecessary to have for example specialised 3x4 transpose
122 instructions of other Vector ISAs.
123
124 Only the most commonly-used algorithms in computer science have REMAP
125 support, due to the high cost in both the ISA and in hardware. For
126 arbitrary remapping the `Indexed` REMAP may be used.
127
128 ## Example Usage
129
130 * `svshape` to set the type of reordering to be applied to an
131 otherwise usual `0..VL-1` hardware for-loop
132 * `svremap` to set which registers a given reordering is to apply to
133 (RA, RT etc)
134 * `sv.{instruction}` where any Vectorised register marked by `svremap`
135 will have its ordering REMAPPED according to the schedule set
136 by `svshape`.
137
138 The following illustrative example multiplies a 3x4 and a 5x3
139 matrix to create
140 a 5x4 result:
141
142 ```
143 svshape 5, 4, 3, 0, 0 # Outer Product
144 svremap 15, 1, 2, 3, 0, 0, 0, 0
145 sv.fmadds *0, *32, *64, *0
146 ```
147
148 * svshape sets up the four SVSHAPE SPRS for a Matrix Schedule
149 * svremap activates four out of five registers RA RB RC RT RS (15)
150 * svremap requests:
151 - RA to use SVSHAPE1
152 - RB to use SVSHAPE2
153 - RC to use SVSHAPE3
154 - RT to use SVSHAPE0
155 - RS Remapping to not be activated
156 * sv.fmadds has RT=0.v, RA=8.v, RB=16.v, RC=0.v
157 * With REMAP being active each register's element index is
158 *independently* transformed using the specified SHAPEs.
159
160 Thus the Vector Loop is arranged such that the use of
161 the multiply-and-accumulate instruction executes precisely the required
162 Schedule to perform an in-place in-registers Outer Product
163 Matrix Multiply with no
164 need to perform additional Transpose or register copy instructions.
165 The example above may be executed as a unit test and demo,
166 [here](https://git.libre-soc.org/?p=openpower-isa.git;a=blob;f=src/openpower/decoder/isa/test_caller_svp64_matrix.py;h=c15479db9a36055166b6b023c7495f9ca3637333;hb=a17a252e474d5d5bf34026c25a19682e3f2015c3#l94)
167
168 ## REMAP types
169
170 This section summarises the motivation for each REMAP Schedule
171 and briefly goes over their characteristics and limitations.
172 Further details on the Deterministic Precise-Interruptible algorithms
173 used in these Schedules is found in the [[sv/remap/appendix]].
174
175 ### Matrix (1D/2D/3D shaping)
176
177 Matrix Multiplication is a huge part of High-Performance Compute,
178 and 3D.
179 In many PackedSIMD as well as Scalable Vector ISAs, non-power-of-two
180 Matrix sizes are a serious challenge. PackedSIMD ISAs, in order to
181 cope with for example 3x4 Matrices, recommend rolling data-repetition and loop-unrolling.
182 Aside from the cost of the load on the L1 I-Cache, the trick only
183 works if one of the dimensions X or Y are power-two. Prime Numbers
184 (5x7, 3x5) become deeply problematic to unroll.
185
186 Even traditional Scalable Vector ISAs have issues with Matrices, often
187 having to perform data Transpose by pushing out through Memory and back,
188 or computing Transposition Indices (costly) then copying to another
189 Vector (costly).
190
191 Matrix REMAP was thus designed to solve these issues by providing Hardware
192 Assisted
193 "Schedules" that can view what would otherwise be limited to a strictly
194 linear Vector as instead being 2D (even 3D) *in-place* reordered.
195 With both Transposition and non-power-two being supported the issues
196 faced by other ISAs are mitigated.
197
198 Limitations of Matrix REMAP are that the Vector Length (VL) is currently
199 restricted to 127: up to 127 FMAs (or other operation)
200 may be performed in total.
201 Also given that it is in-registers only at present some care has to be
202 taken on regfile resource utilisation. However it is perfectly possible
203 to utilise Matrix REMAP to perform the three inner-most "kernel"
204 ("Tiling") loops of
205 the usual 6-level large Matrix Multiply, without the usual difficulties
206 associated with SIMD.
207
208 Also the `svshape` instruction only provides access to part of the
209 Matrix REMAP capability. Rotation and mirroring need to be done by
210 programming the SVSHAPE SPRs directly, which can take a lot more
211 instructions. Future versions of SVP64 will include EXT1xx prefixed
212 variants (`psvshape`) which provide more comprehensive capacity and
213 mitigate the need to write direct to the SVSHAPE SPRs.
214
215 ### FFT/DCT Triple Loop
216
217 DCT and FFT are some of the most astonishingly used algorithms in
218 Computer Science. Radar, Audio, Video, R.F. Baseband and dozens more. At least
219 two DSPs, TMS320 and Hexagon, have VLIW instructions specially tailored
220 to FFT.
221
222 An in-depth analysis showed that it is possible to do in-place in-register
223 DCT and FFT as long as twin-result "butterfly" instructions are provided.
224 These can be found in the [[openpower/isa/svfparith]] page if performing
225 IEEE754 FP transforms. *(For fixed-point transforms, equivalent 3-in 2-out
226 integer operations would be required)*. These "butterfly" instructions
227 avoid the need for a temporary register because the two array positions
228 being overwritten will be "in-flight" in any In-Order or Out-of-Order
229 micro-architecture.
230
231 DCT and FFT Schedules are currently limited to RADIX2 sizes and do not
232 accept predicate masks. Given that it is common to perform recursive
233 convolutions combining smaller Power-2 DCT/FFT to create larger DCT/FFTs
234 in practice the RADIX2 limit is not a problem. A Bluestein convolution
235 to compute arbitrary length is demonstrated by
236 [Project Nayuki](https://www.nayuki.io/res/free-small-fft-in-multiple-languages/fft.py)
237
238 ### Indexed
239
240 The purpose of Indexing is to provide a generalised version of
241 Vector ISA "Permute" instructions, such as VSX `vperm`. The
242 Indexing is abstracted out and may be applied to much more
243 than an element move/copy, and is not limited for example
244 to the number of bytes that can fit into a VSX register.
245 Indexing may be applied to LD/ST (even on Indexed LD/ST
246 instructions such as `sv.lbzx`), arithmetic operations,
247 extsw: there is no artificial limit.
248
249 The only major caveat is that the registers to be used as
250 Indices must not be modified by any instruction after Indexed Mode
251 is established, and neither must MAXVL be altered. Additionally,
252 no register used as an Index may exceed MAXVL-1.
253
254 Failure to observe
255 these conditions results in `UNDEFINED` behaviour.
256 These conditions allow a Read-After-Write (RAW) Hazard to be created on
257 the entire range of Indices to be subsequently used, but a corresponding
258 Write-After-Read Hazard by any instruction that modifies the Indices
259 **does not have to be created**. Given the large number of registers
260 involved in Indexing this is a huge resource saving and reduction
261 in micro-architectural complexity. MAXVL is likewise
262 included in the RAW Hazards because it is involved in calculating
263 how many registers are to be considered Indices.
264
265 With these Hazard Mitigations in place, high-performance implementations
266 may read-cache the Indices at the point where a given `svindex` instruction
267 is called (or SVSHAPE SPRs - and MAXVL - directly altered) by issuing
268 background GPR register file reads whilst other instructions are being
269 issued and executed.
270
271 The original motivation for Indexed REMAP was to mitigate the need to add
272 an expensive `mv.x` to the Scalar ISA, which was likely to be rejected as
273 a stand-alone instruction. Usually a Vector ISA would add a non-conflicting
274 variant (as in VSX `vperm`) but it is common to need to permute by source,
275 with the risk of conflict, that has to be resolved, for example, in AVX-512
276 with `conflictd`.
277
278 Indexed REMAP on the other hand **does not prevent conflicts** (overlapping
279 destinations), which on a superficial analysis may be perceived to be a
280 problem, until it is recalled that, firstly, Simple-V is designed specifically
281 to require Program Order to be respected, and that Matrix, DCT and FFT
282 all *already* critically depend on overlapping Reads/Writes: Matrix
283 uses overlapping registers as accumulators. Thus the Register Hazard
284 Management needed by Indexed REMAP *has* to be in place anyway.
285
286 The cost compared to Matrix and other REMAPs (and Pack/Unpack) is
287 clearly that of the additional reading of the GPRs to be used as Indices,
288 plus the setup cost associated with creating those same Indices.
289 If any Deterministic REMAP can cover the required task, clearly it
290 is adviseable to use it instead.
291
292 *Programmer's note: some algorithms may require skipping of Indices exceeding
293 VL-1, not MAXVL-1. This may be achieved programmatically by performing
294 an `sv.cmp *BF,*RA,RB` where RA is the same GPRs used in the Indexed REMAP,
295 and RB contains the value of VL returned from `setvl`. The resultant
296 CR Fields may then be used as Predicate Masks to exclude those operations
297 with an Index exceeding VL-1.*
298
299 ### Parallel Reduction
300
301 Vector Reduce Mode issues a deterministic tree-reduction schedule to the underlying micro-architecture. Like Scalar reduction, the "Scalar Base"
302 (Power ISA v3.0B) operation is leveraged, unmodified, to give the
303 *appearance* and *effect* of Reduction.
304
305 In Horizontal-First Mode, Vector-result reduction **requires**
306 the destination to be a Vector, which will be used to store
307 intermediary results.
308
309 Given that the tree-reduction schedule is deterministic,
310 Interrupts and exceptions
311 can therefore also be precise. The final result will be in the first
312 non-predicate-masked-out destination element, but due again to
313 the deterministic schedule programmers may find uses for the intermediate
314 results.
315
316 When Rc=1 a corresponding Vector of co-resultant CRs is also
317 created. No special action is taken: the result *and its CR Field*
318 are stored "as usual" exactly as all other SVP64 Rc=1 operations.
319
320 Note that the Schedule only makes sense on top of certain instructions:
321 X-Form with a Register Profile of `RT,RA,RB` is fine because two sources
322 and the destination are all the same type. Like Scalar
323 Reduction, nothing is prohibited:
324 the results of execution on an unsuitable instruction may simply
325 not make sense. With care, even 3-input instructions (madd, fmadd, ternlogi)
326 may be used, and whilst it is down to the Programmer to walk through the
327 process the Programmer can be confident that the Parallel-Reduction is
328 guaranteed 100% Deterministic.
329
330 Critical to note regarding use of Parallel-Reduction REMAP is that,
331 exactly as with all REMAP Modes, the `svshape` instruction *requests*
332 a certain Vector Length (number of elements to reduce) and then
333 sets VL and MAXVL at the number of **operations** needed to be
334 carried out. Thus, equally as importantly, like Matrix REMAP
335 the total number of operations
336 is restricted to 127. Any Parallel-Reduction requiring more operations
337 will need to be done manually in batches (hierarchical
338 recursive Reduction).
339
340 Also important to note is that the Deterministic Schedule is arranged
341 so that some implementations *may* parallelise it (as long as doing so
342 respects Program Order and Register Hazards). Performance (speed)
343 of any given
344 implementation is neither strictly defined or guaranteed. As with
345 the Vulkan(tm) Specification, strict compliance is paramount whilst
346 performance is at the discretion of Implementors.
347
348 **Parallel-Reduction with Predication**
349
350 To avoid breaking the strict RISC-paradigm, keeping the Issue-Schedule
351 completely separate from the actual element-level (scalar) operations,
352 Move operations are **not** included in the Schedule. This means that
353 the Schedule leaves the final (scalar) result in the first-non-masked
354 element of the Vector used. With the predicate mask being dynamic
355 (but deterministic) this result could be anywhere.
356
357 If that result is needed to be moved to a (single) scalar register
358 then a follow-up `sv.mv/sm=predicate rt, *ra` instruction will be
359 needed to get it, where the predicate is the exact same predicate used
360 in the prior Parallel-Reduction instruction.
361
362 * If there was only a single
363 bit in the predicate then the result will not have moved or been altered
364 from the source vector prior to the Reduction
365 * If there was more than one bit the result will be in the
366 first element with a predicate bit set.
367
368 In either case the result is in the element with the first bit set in
369 the predicate mask. Thus, no move/copy *within the Reduction itself* was needed.
370
371 Programmer's Note: For *some* hardware implementations
372 the vector-to-scalar copy may be a slow operation, as may the Predicated
373 Parallel Reduction itself.
374 It may be better to perform a pre-copy
375 of the values, compressing them (VREDUCE-style) into a contiguous block,
376 which will guarantee that the result goes into the very first element
377 of the destination vector, in which case clearly no follow-up
378 predicated vector-to-scalar MV operation is needed.
379
380 **Usage conditions**
381
382 The simplest usage is to perform an overwrite, specifying all three
383 register operands the same.
384
385 ```
386 svshape parallelreduce, 6
387 sv.add *8, *8, *8
388 ```
389
390 The Reduction Schedule will issue the Parallel Tree Reduction spanning
391 registers 8 through 13, by adjusting the offsets to RT, RA and RB as
392 necessary (see "Parallel Reduction algorithm" in a later section).
393
394 A non-overwrite is possible as well but just as with the overwrite
395 version, only those destination elements necessary for storing
396 intermediary computations will be written to: the remaining elements
397 will **not** be overwritten and will **not** be zero'd.
398
399 ```
400 svshape parallelreduce, 6
401 sv.add *0, *8, *8
402 ```
403
404 However it is critical to note that if the source and destination are
405 not the same then the trick of using a follow-up vector-scalar MV will
406 not work.
407
408 ### Sub-Vector Horizontal Reduction
409
410 To achieve Sub-Vector Horizontal Reduction, Pack/Unpack should be enabled,
411 which will turn the Schedule around such that issuing of the Scalar
412 Defined Words is done with SUBVL looping as the inner loop not the
413 outer loop. Rc=1 with Sub-Vectors (SUBVL=2,3,4) is `UNDEFINED` behaviour.
414
415 ## Determining Register Hazards
416
417 For high-performance (Multi-Issue, Out-of-Order) systems it is critical
418 to be able to statically determine the extent of Vectors in order to
419 allocate pre-emptive Hazard protection. The next task is to eliminate
420 masked-out elements using predicate bits, freeing up the associated
421 Hazards.
422
423 For non-REMAP situations `VL` is sufficient to ascertain early
424 Hazard coverage, and with SVSTATE being a high priority cached
425 quantity at the same level of MSR and PC this is not a problem.
426
427 The problems come when REMAP is enabled. Indexed REMAP must instead
428 use `MAXVL` as the earliest (simplest)
429 batch-level Hazard Reservation indicator (after taking element-width
430 overriding on the Index source into consideration),
431 but Matrix, FFT and Parallel Reduction must all use completely different
432 schemes. The reason is that VL is used to step through the total
433 number of *operations*, not the number of registers.
434 The "Saving Grace" is that all of the REMAP Schedules are 100% Deterministic.
435
436 Advance-notice Parallel computation and subsequent cacheing
437 of all of these complex Deterministic REMAP Schedules is
438 *strongly recommended*, thus allowing clear and precise multi-issue
439 batched Hazard coverage to be deployed, *even for Indexed Mode*.
440 This is only possible for Indexed due to the strict guidelines
441 given to Programmers.
442
443 In short, there exists solutions to the problem of Hazard Management,
444 with varying degrees of refinement possible at correspondingly
445 increasing levels of complexity in hardware.
446
447 A reminder: when Rc=1 each result register (element) has an associated
448 co-result CR Field (one per result element). Thus above when determining
449 the Write-Hazards for result registers the corresponding Write-Hazards for the
450 corresponding associated co-result CR Field must not be forgotten, *including* when
451 Predication is used.
452
453 ## REMAP area of SVSTATE SPR
454
455 The following bits of the SVSTATE SPR are used for REMAP:
456
457 |32.33|34.35|36.37|38.39|40.41| 42.46 | 62 |
458 | -- | -- | -- | -- | -- | ----- | ------ |
459 |mi0 |mi1 |mi2 |mo0 |mo1 | SVme | RMpst |
460
461 mi0-2 and mo0-1 each select SVSHAPE0-3 to apply to a given register.
462 mi0-2 apply to RA, RB, RC respectively, as input registers, and
463 likewise mo0-1 apply to output registers (RT/FRT, RS/FRS) respectively.
464 SVme is 5 bits (one for each of mi0-2/mo0-1) and indicates whether the
465 SVSHAPE is actively applied or not.
466
467 * bit 0 of SVme indicates if mi0 is applied to RA / FRA / BA / BFA
468 * bit 1 of SVme indicates if mi1 is applied to RB / FRB / BB
469 * bit 2 of SVme indicates if mi2 is applied to RC / FRC / BC
470 * bit 3 of SVme indicates if mo0 is applied to RT / FRT / BT / BF
471 * bit 4 of SVme indicates if mo1 is applied to Effective Address / FRS / RS
472 (LD/ST-with-update has an implicit 2nd write register, RA)
473
474 The "persistence" bit if set will result in all Active REMAPs being applied
475 indefinitely.
476
477 ----------------
478
479 \newpage{}
480
481 # svremap instruction <a name="svremap"> </a>
482
483 SVRM-Form:
484
485 svremap SVme,mi0,mi1,mi2,mo0,mo2,pst
486
487 |0 |6 |11 |13 |15 |17 |19 |21 | 22:25 |26:31 |
488 | -- | -- | -- | -- | -- | -- | -- | -- | ---- | ----- |
489 | PO | SVme |mi0 | mi1 | mi2 | mo0 | mo1 | pst | rsvd | XO |
490
491 SVRM-Form
492
493 * svremap SVme,mi0,mi1,mi2,mo0,mo1,pst
494
495 Pseudo-code:
496
497 ```
498 # registers RA RB RC RT EA/FRS SVSHAPE0-3 indices
499 SVSTATE[32:33] <- mi0
500 SVSTATE[34:35] <- mi1
501 SVSTATE[36:37] <- mi2
502 SVSTATE[38:39] <- mo0
503 SVSTATE[40:41] <- mo1
504 # enable bit for RA RB RC RT EA/FRS
505 SVSTATE[42:46] <- SVme
506 # persistence bit (applies to more than one instruction)
507 SVSTATE[62] <- pst
508 ```
509
510 Special Registers Altered:
511
512 ```
513 SVSTATE
514 ```
515
516 `svremap` determines the relationship between registers and SVSHAPE SPRs.
517 The bitmask `SVme` determines which registers have a REMAP applied, and mi0-mo1
518 determine which shape is applied to an activated register. the `pst` bit if
519 cleared indicated that the REMAP operation shall only apply to the immediately-following
520 instruction. If set then REMAP remains permanently enabled until such time as it is
521 explicitly disabled, either by `setvl` setting a new MAXVL, or with another
522 `svremap` instruction. `svindex` and `svshape2` are also capable of setting or
523 clearing persistence, as well as partially covering a subset of the capability of
524 `svremap` to set register-to-SVSHAPE relationships.
525
526 Programmer's Note: applying non-persistent `svremap` to an instruction that has
527 no REMAP enabled or is a Scalar operation will obviously have no effect but
528 the bits 32 to 46 will at least have been set in SVSTATE. This may prove useful
529 when using `svindex` or `svshape2`.
530
531 Hardware Architectural Note: when persistence is not set it is critically important
532 to treat the `svremap` and the following SVP64 instruction as an indivisible fused operation.
533 *No state* is stored in the SVSTATE SPR in order to allow continuation should an
534 Interrupt occur between the two instructions. Thus, Interrupts must be prohibited
535 from occurring or other workaround deployed. When persistence is set this issue
536 is moot.
537
538 It is critical to note that if persistence is clear then `svremap` is the *only* way
539 to activate REMAP on any given (following) instruction. If persistence is set however then
540 **all** SVP64 instructions go through REMAP as long as `SVme` is non-zero.
541
542 -------------
543
544 \newpage{}
545
546 # SHAPE Remapping SPRs
547
548 There are four "shape" SPRs, SHAPE0-3, 32-bits in each,
549 which have the same format.
550
551 Shape is 32-bits. When SHAPE is set entirely to zeros, remapping is
552 disabled: the register's elements are a linear (1D) vector.
553
554 |31.30|29..28 |27..24| 23..21 | 20..18 | 17..12 |11..6 |5..0 | Mode |
555 |---- |------ |------| ------ | ------- | ------- |----- |----- | ----- |
556 |mode |skip |offset| invxyz | permute | zdimsz |ydimsz|xdimsz|Matrix |
557 |0b00 |elwidth|offset|sk1/invxy|0b110/0b111|SVGPR|ydimsz|xdimsz|Indexed|
558 |0b01 |submode|offset| invxyz | submode2| zdimsz |mode |xdimsz|DCT/FFT|
559 |0b10 |submode|offset| invxyz | rsvd | rsvd |rsvd |xdimsz|Preduce|
560 |0b11 | | | | | | | |rsvd |
561
562 mode sets different behaviours (straight matrix multiply, FFT, DCT).
563
564 * **mode=0b00** sets straight Matrix Mode
565 * **mode=0b00** with permute=0b110 or 0b111 sets Indexed Mode
566 * **mode=0b01** sets "FFT/DCT" mode and activates submodes
567 * **mode=0b10** sets "Parallel Reduction" Schedules.
568
569 ## Parallel Reduction Mode
570
571 Creates the Schedules for Parallel Tree Reduction.
572
573 * **submode=0b00** selects the left operand index
574 * **submode=0b01** selects the right operand index
575
576 * When bit 0 of `invxyz` is set, the order of the indices
577 in the inner for-loop are reversed. This has the side-effect
578 of placing the final reduced result in the last-predicated element.
579 It also has the indirect side-effect of swapping the source
580 registers: Left-operand index numbers will always exceed
581 Right-operand indices.
582 When clear, the reduced result will be in the first-predicated
583 element, and Left-operand indices will always be *less* than
584 Right-operand ones.
585 * When bit 1 of `invxyz` is set, the order of the outer loop
586 step is inverted: stepping begins at the nearest power-of two
587 to half of the vector length and reduces by half each time.
588 When clear the step will begin at 2 and double on each
589 inner loop.
590
591 ## FFT/DCT mode
592
593 submode2=0 is for FFT. For FFT submode the following schedules may be
594 selected:
595
596 * **submode=0b00** selects the ``j`` offset of the innermost for-loop
597 of Tukey-Cooley
598 * **submode=0b10** selects the ``j+halfsize`` offset of the innermost for-loop
599 of Tukey-Cooley
600 * **submode=0b11** selects the ``k`` of exptable (which coefficient)
601
602 When submode2 is 1 or 2, for DCT inner butterfly submode the following
603 schedules may be selected. When submode2 is 1, additional bit-reversing
604 is also performed.
605
606 * **submode=0b00** selects the ``j`` offset of the innermost for-loop,
607 in-place
608 * **submode=0b010** selects the ``j+halfsize`` offset of the innermost for-loop,
609 in reverse-order, in-place
610 * **submode=0b10** selects the ``ci`` count of the innermost for-loop,
611 useful for calculating the cosine coefficient
612 * **submode=0b11** selects the ``size`` offset of the outermost for-loop,
613 useful for the cosine coefficient ``cos(ci + 0.5) * pi / size``
614
615 When submode2 is 3 or 4, for DCT outer butterfly submode the following
616 schedules may be selected. When submode is 3, additional bit-reversing
617 is also performed.
618
619 * **submode=0b00** selects the ``j`` offset of the innermost for-loop,
620 * **submode=0b01** selects the ``j+1`` offset of the innermost for-loop,
621
622 `zdimsz` is used as an in-place "Stride", particularly useful for
623 column-based in-place DCT/FFT.
624
625 ## Matrix Mode
626
627 In Matrix Mode, skip allows dimensions to be skipped from being included
628 in the resultant output index. this allows sequences to be repeated:
629 ```0 0 0 1 1 1 2 2 2 ...``` or in the case of skip=0b11 this results in
630 modulo ```0 1 2 0 1 2 ...```
631
632 * **skip=0b00** indicates no dimensions to be skipped
633 * **skip=0b01** sets "skip 1st dimension"
634 * **skip=0b10** sets "skip 2nd dimension"
635 * **skip=0b11** sets "skip 3rd dimension"
636
637 invxyz will invert the start index of each of x, y or z. If invxyz[0] is
638 zero then x-dimensional counting begins from 0 and increments, otherwise
639 it begins from xdimsz-1 and iterates down to zero. Likewise for y and z.
640
641 offset will have the effect of offsetting the result by ```offset``` elements:
642
643 ```
644 for i in 0..VL-1:
645 GPR(RT + remap(i) + SVSHAPE.offset) = ....
646 ```
647
648 this appears redundant because the register RT could simply be changed by a compiler, until element width overrides are introduced. also
649 bear in mind that unlike a static compiler SVSHAPE.offset may
650 be set dynamically at runtime.
651
652 xdimsz, ydimsz and zdimsz are offset by 1, such that a value of 0 indicates
653 that the array dimensionality for that dimension is 1. any dimension
654 not intended to be used must have its value set to 0 (dimensionality
655 of 1). A value of xdimsz=2 would indicate that in the first dimension
656 there are 3 elements in the array. For example, to create a 2D array
657 X,Y of dimensionality X=3 and Y=2, set xdimsz=2, ydimsz=1 and zdimsz=0
658
659 The format of the array is therefore as follows:
660
661 ```
662 array[xdimsz+1][ydimsz+1][zdimsz+1]
663 ```
664
665 However whilst illustrative of the dimensionality, that does not take the
666 "permute" setting into account. "permute" may be any one of six values
667 (0-5, with values of 6 and 7 indicating "Indexed" Mode). The table
668 below shows how the permutation dimensionality order works:
669
670 | permute | order | array format |
671 | ------- | ----- | ------------------------ |
672 | 000 | 0,1,2 | (xdim+1)(ydim+1)(zdim+1) |
673 | 001 | 0,2,1 | (xdim+1)(zdim+1)(ydim+1) |
674 | 010 | 1,0,2 | (ydim+1)(xdim+1)(zdim+1) |
675 | 011 | 1,2,0 | (ydim+1)(zdim+1)(xdim+1) |
676 | 100 | 2,0,1 | (zdim+1)(xdim+1)(ydim+1) |
677 | 101 | 2,1,0 | (zdim+1)(ydim+1)(xdim+1) |
678 | 110 | 0,1 | Indexed (xdim+1)(ydim+1) |
679 | 111 | 1,0 | Indexed (ydim+1)(xdim+1) |
680
681 In other words, the "permute" option changes the order in which
682 nested for-loops over the array would be done. See executable
683 python reference code for further details.
684
685 *Note: permute=0b110 and permute=0b111 enable Indexed REMAP Mode,
686 described below*
687
688 With all these options it is possible to support in-place transpose,
689 in-place rotate, Matrix Multiply and Convolutions, without being
690 limited to Power-of-Two dimension sizes.
691
692 ## Indexed Mode
693
694 Indexed Mode activates reading of the element indices from the GPR
695 and includes optional limited 2D reordering.
696 In its simplest form (without elwidth overrides or other modes):
697
698 ```
699 def index_remap(i):
700 return GPR((SVSHAPE.SVGPR<<1)+i) + SVSHAPE.offset
701
702 for i in 0..VL-1:
703 element_result = ....
704 GPR(RT + indexed_remap(i)) = element_result
705 ```
706
707 With element-width overrides included, and using the pseudocode
708 from the SVP64 [[sv/svp64/appendix#elwidth]] elwidth section
709 this becomes:
710
711 ```
712 def index_remap(i):
713 svreg = SVSHAPE.SVGPR << 1
714 srcwid = elwid_to_bitwidth(SVSHAPE.elwid)
715 offs = SVSHAPE.offset
716 return get_polymorphed_reg(svreg, srcwid, i) + offs
717
718 for i in 0..VL-1:
719 element_result = ....
720 rt_idx = indexed_remap(i)
721 set_polymorphed_reg(RT, destwid, rt_idx, element_result)
722 ```
723
724 Matrix-style reordering still applies to the indices, except limited
725 to up to 2 Dimensions (X,Y). Ordering is therefore limited to (X,Y) or
726 (Y,X) for in-place Transposition.
727 Only one dimension may optionally be skipped. Inversion of either
728 X or Y or both is possible (2D mirroring). Pseudocode for Indexed Mode (including elwidth
729 overrides) may be written in terms of Matrix Mode, specifically
730 purposed to ensure that the 3rd dimension (Z) has no effect:
731
732 ```
733 def index_remap(ISHAPE, i):
734 MSHAPE.skip = 0b0 || ISHAPE.sk1
735 MSHAPE.invxyz = 0b0 || ISHAPE.invxy
736 MSHAPE.xdimsz = ISHAPE.xdimsz
737 MSHAPE.ydimsz = ISHAPE.ydimsz
738 MSHAPE.zdimsz = 0 # disabled
739 if ISHAPE.permute = 0b110 # 0,1
740 MSHAPE.permute = 0b000 # 0,1,2
741 if ISHAPE.permute = 0b111 # 1,0
742 MSHAPE.permute = 0b010 # 1,0,2
743 el_idx = remap_matrix(MSHAPE, i)
744 svreg = ISHAPE.SVGPR << 1
745 srcwid = elwid_to_bitwidth(ISHAPE.elwid)
746 offs = ISHAPE.offset
747 return get_polymorphed_reg(svreg, srcwid, el_idx) + offs
748 ```
749
750 The most important observation above is that the Matrix-style
751 remapping occurs first and the Index lookup second. Thus it
752 becomes possible to perform in-place Transpose of Indices which
753 may have been costly to set up or costly to duplicate
754 (waste register file space).
755
756 -------------
757
758 \newpage{}
759
760 # svshape instruction <a name="svshape"> </a>
761
762 SVM-Form
763
764 svshape SVxd,SVyd,SVzd,SVRM,vf
765
766 | 0:5|6:10 |11:15 |16:20 | 21:24 | 25 | 26:31 | name |
767 | -- | -- | --- | ----- | ------ | -- | ------| -------- |
768 |PO | SVxd | SVyd | SVzd | SVRM | vf | XO | svshape |
769
770 ```
771 # for convenience, VL to be calculated and stored in SVSTATE
772 vlen <- [0] * 7
773 mscale[0:5] <- 0b000001 # for scaling MAXVL
774 itercount[0:6] <- [0] * 7
775 SVSTATE[0:31] <- [0] * 32
776 # only overwrite REMAP if "persistence" is zero
777 if (SVSTATE[62] = 0b0) then
778 SVSTATE[32:33] <- 0b00
779 SVSTATE[34:35] <- 0b00
780 SVSTATE[36:37] <- 0b00
781 SVSTATE[38:39] <- 0b00
782 SVSTATE[40:41] <- 0b00
783 SVSTATE[42:46] <- 0b00000
784 SVSTATE[62] <- 0b0
785 SVSTATE[63] <- 0b0
786 # clear out all SVSHAPEs
787 SVSHAPE0[0:31] <- [0] * 32
788 SVSHAPE1[0:31] <- [0] * 32
789 SVSHAPE2[0:31] <- [0] * 32
790 SVSHAPE3[0:31] <- [0] * 32
791
792 # set schedule up for multiply
793 if (SVrm = 0b0000) then
794 # VL in Matrix Multiply is xd*yd*zd
795 xd <- (0b00 || SVxd) + 1
796 yd <- (0b00 || SVyd) + 1
797 zd <- (0b00 || SVzd) + 1
798 n <- xd * yd * zd
799 vlen[0:6] <- n[14:20]
800 # set up template in SVSHAPE0, then copy to 1-3
801 SVSHAPE0[0:5] <- (0b0 || SVxd) # xdim
802 SVSHAPE0[6:11] <- (0b0 || SVyd) # ydim
803 SVSHAPE0[12:17] <- (0b0 || SVzd) # zdim
804 SVSHAPE0[28:29] <- 0b11 # skip z
805 # copy
806 SVSHAPE1[0:31] <- SVSHAPE0[0:31]
807 SVSHAPE2[0:31] <- SVSHAPE0[0:31]
808 SVSHAPE3[0:31] <- SVSHAPE0[0:31]
809 # set up FRA
810 SVSHAPE1[18:20] <- 0b001 # permute x,z,y
811 SVSHAPE1[28:29] <- 0b01 # skip z
812 # FRC
813 SVSHAPE2[18:20] <- 0b001 # permute x,z,y
814 SVSHAPE2[28:29] <- 0b11 # skip y
815
816 # set schedule up for FFT butterfly
817 if (SVrm = 0b0001) then
818 # calculate O(N log2 N)
819 n <- [0] * 3
820 do while n < 5
821 if SVxd[4-n] = 0 then
822 leave
823 n <- n + 1
824 n <- ((0b0 || SVxd) + 1) * n
825 vlen[0:6] <- n[1:7]
826 # set up template in SVSHAPE0, then copy to 1-3
827 # for FRA and FRT
828 SVSHAPE0[0:5] <- (0b0 || SVxd) # xdim
829 SVSHAPE0[12:17] <- (0b0 || SVzd) # zdim - "striding" (2D FFT)
830 mscale <- (0b0 || SVzd) + 1
831 SVSHAPE0[30:31] <- 0b01 # Butterfly mode
832 # copy
833 SVSHAPE1[0:31] <- SVSHAPE0[0:31]
834 SVSHAPE2[0:31] <- SVSHAPE0[0:31]
835 # set up FRB and FRS
836 SVSHAPE1[28:29] <- 0b01 # j+halfstep schedule
837 # FRC (coefficients)
838 SVSHAPE2[28:29] <- 0b10 # k schedule
839
840 # set schedule up for (i)DCT Inner butterfly
841 # SVrm Mode 4 (Mode 12 for iDCT) is for on-the-fly (Vertical-First Mode)
842 if ((SVrm = 0b0100) |
843 (SVrm = 0b1100)) then
844 # calculate O(N log2 N)
845 n <- [0] * 3
846 do while n < 5
847 if SVxd[4-n] = 0 then
848 leave
849 n <- n + 1
850 n <- ((0b0 || SVxd) + 1) * n
851 vlen[0:6] <- n[1:7]
852 # set up template in SVSHAPE0, then copy to 1-3
853 # set up FRB and FRS
854 SVSHAPE0[0:5] <- (0b0 || SVxd) # xdim
855 SVSHAPE0[12:17] <- (0b0 || SVzd) # zdim - "striding" (2D DCT)
856 mscale <- (0b0 || SVzd) + 1
857 if (SVrm = 0b1100) then
858 SVSHAPE0[30:31] <- 0b11 # iDCT mode
859 SVSHAPE0[18:20] <- 0b011 # iDCT Inner Butterfly sub-mode
860 else
861 SVSHAPE0[30:31] <- 0b01 # DCT mode
862 SVSHAPE0[18:20] <- 0b001 # DCT Inner Butterfly sub-mode
863 SVSHAPE0[21:23] <- 0b001 # "inverse" on outer loop
864 SVSHAPE0[6:11] <- 0b000011 # (i)DCT Inner Butterfly mode 4
865 # copy
866 SVSHAPE1[0:31] <- SVSHAPE0[0:31]
867 SVSHAPE2[0:31] <- SVSHAPE0[0:31]
868 if (SVrm != 0b0100) & (SVrm != 0b1100) then
869 SVSHAPE3[0:31] <- SVSHAPE0[0:31]
870 # for FRA and FRT
871 SVSHAPE0[28:29] <- 0b01 # j+halfstep schedule
872 # for cos coefficient
873 SVSHAPE2[28:29] <- 0b10 # ci (k for mode 4) schedule
874 SVSHAPE2[12:17] <- 0b000000 # reset costable "striding" to 1
875 if (SVrm != 0b0100) & (SVrm != 0b1100) then
876 SVSHAPE3[28:29] <- 0b11 # size schedule
877
878 # set schedule up for (i)DCT Outer butterfly
879 if (SVrm = 0b0011) | (SVrm = 0b1011) then
880 # calculate O(N log2 N) number of outer butterfly overlapping adds
881 vlen[0:6] <- [0] * 7
882 n <- 0b000
883 size <- 0b0000001
884 itercount[0:6] <- (0b00 || SVxd) + 0b0000001
885 itercount[0:6] <- (0b0 || itercount[0:5])
886 do while n < 5
887 if SVxd[4-n] = 0 then
888 leave
889 n <- n + 1
890 count <- (itercount - 0b0000001) * size
891 vlen[0:6] <- vlen + count[7:13]
892 size[0:6] <- (size[1:6] || 0b0)
893 itercount[0:6] <- (0b0 || itercount[0:5])
894 # set up template in SVSHAPE0, then copy to 1-3
895 # set up FRB and FRS
896 SVSHAPE0[0:5] <- (0b0 || SVxd) # xdim
897 SVSHAPE0[12:17] <- (0b0 || SVzd) # zdim - "striding" (2D DCT)
898 mscale <- (0b0 || SVzd) + 1
899 if (SVrm = 0b1011) then
900 SVSHAPE0[30:31] <- 0b11 # iDCT mode
901 SVSHAPE0[18:20] <- 0b011 # iDCT Outer Butterfly sub-mode
902 SVSHAPE0[21:23] <- 0b101 # "inverse" on outer and inner loop
903 else
904 SVSHAPE0[30:31] <- 0b01 # DCT mode
905 SVSHAPE0[18:20] <- 0b100 # DCT Outer Butterfly sub-mode
906 SVSHAPE0[6:11] <- 0b000010 # DCT Butterfly mode
907 # copy
908 SVSHAPE1[0:31] <- SVSHAPE0[0:31] # j+halfstep schedule
909 SVSHAPE2[0:31] <- SVSHAPE0[0:31] # costable coefficients
910 # for FRA and FRT
911 SVSHAPE1[28:29] <- 0b01 # j+halfstep schedule
912 # reset costable "striding" to 1
913 SVSHAPE2[12:17] <- 0b000000
914
915 # set schedule up for DCT COS table generation
916 if (SVrm = 0b0101) | (SVrm = 0b1101) then
917 # calculate O(N log2 N)
918 vlen[0:6] <- [0] * 7
919 itercount[0:6] <- (0b00 || SVxd) + 0b0000001
920 itercount[0:6] <- (0b0 || itercount[0:5])
921 n <- [0] * 3
922 do while n < 5
923 if SVxd[4-n] = 0 then
924 leave
925 n <- n + 1
926 vlen[0:6] <- vlen + itercount
927 itercount[0:6] <- (0b0 || itercount[0:5])
928 # set up template in SVSHAPE0, then copy to 1-3
929 # set up FRB and FRS
930 SVSHAPE0[0:5] <- (0b0 || SVxd) # xdim
931 SVSHAPE0[12:17] <- (0b0 || SVzd) # zdim - "striding" (2D DCT)
932 mscale <- (0b0 || SVzd) + 1
933 SVSHAPE0[30:31] <- 0b01 # DCT/FFT mode
934 SVSHAPE0[6:11] <- 0b000100 # DCT Inner Butterfly COS-gen mode
935 if (SVrm = 0b0101) then
936 SVSHAPE0[21:23] <- 0b001 # "inverse" on outer loop for DCT
937 # copy
938 SVSHAPE1[0:31] <- SVSHAPE0[0:31]
939 SVSHAPE2[0:31] <- SVSHAPE0[0:31]
940 # for cos coefficient
941 SVSHAPE1[28:29] <- 0b10 # ci schedule
942 SVSHAPE2[28:29] <- 0b11 # size schedule
943
944 # set schedule up for iDCT / DCT inverse of half-swapped ordering
945 if (SVrm = 0b0110) | (SVrm = 0b1110) | (SVrm = 0b1111) then
946 vlen[0:6] <- (0b00 || SVxd) + 0b0000001
947 # set up template in SVSHAPE0
948 SVSHAPE0[0:5] <- (0b0 || SVxd) # xdim
949 SVSHAPE0[12:17] <- (0b0 || SVzd) # zdim - "striding" (2D DCT)
950 mscale <- (0b0 || SVzd) + 1
951 if (SVrm = 0b1110) then
952 SVSHAPE0[18:20] <- 0b001 # DCT opposite half-swap
953 if (SVrm = 0b1111) then
954 SVSHAPE0[30:31] <- 0b01 # FFT mode
955 else
956 SVSHAPE0[30:31] <- 0b11 # DCT mode
957 SVSHAPE0[6:11] <- 0b000101 # DCT "half-swap" mode
958
959 # set schedule up for parallel reduction
960 if (SVrm = 0b0111) then
961 # calculate the total number of operations (brute-force)
962 vlen[0:6] <- [0] * 7
963 itercount[0:6] <- (0b00 || SVxd) + 0b0000001
964 step[0:6] <- 0b0000001
965 i[0:6] <- 0b0000000
966 do while step <u itercount
967 newstep <- step[1:6] || 0b0
968 j[0:6] <- 0b0000000
969 do while (j+step <u itercount)
970 j <- j + newstep
971 i <- i + 1
972 step <- newstep
973 # VL in Parallel-Reduce is the number of operations
974 vlen[0:6] <- i
975 # set up template in SVSHAPE0, then copy to 1. only 2 needed
976 SVSHAPE0[0:5] <- (0b0 || SVxd) # xdim
977 SVSHAPE0[12:17] <- (0b0 || SVzd) # zdim - "striding" (2D DCT)
978 mscale <- (0b0 || SVzd) + 1
979 SVSHAPE0[30:31] <- 0b10 # parallel reduce submode
980 # copy
981 SVSHAPE1[0:31] <- SVSHAPE0[0:31]
982 # set up right operand (left operand 28:29 is zero)
983 SVSHAPE1[28:29] <- 0b01 # right operand
984
985 # set VL, MVL and Vertical-First
986 m[0:12] <- vlen * mscale
987 maxvl[0:6] <- m[6:12]
988 SVSTATE[0:6] <- maxvl # MAVXL
989 SVSTATE[7:13] <- vlen # VL
990 SVSTATE[63] <- vf
991 ```
992
993 Special Registers Altered:
994
995 ```
996 SVSTATE, SVSHAPE0-3
997 ```
998
999 `svshape` is a convenience instruction that reduces instruction
1000 count for common usage patterns, particularly Matrix, DCT and FFT. It sets up
1001 (overwrites) all required SVSHAPE SPRs and also modifies SVSTATE
1002 including VL and MAXVL. Using `svshape` therefore does not also
1003 require `setvl`.
1004
1005 Fields:
1006
1007 * **SVxd** - SV REMAP "xdim"
1008 * **SVyd** - SV REMAP "ydim"
1009 * **SVzd** - SV REMAP "zdim"
1010 * **SVRM** - SV REMAP Mode (0b00000 for Matrix, 0b00001 for FFT etc.)
1011 * **vf** - sets "Vertical-First" mode
1012 * **XO** - standard 6-bit XO field
1013
1014 *Note: SVxd, SVyz and SVzd are all stored "off-by-one". In the assembler
1015 mnemonic the values `1-32` are stored in binary as `0b00000..0b11111`*
1016
1017 There are 12 REMAP Modes (2 Modes are RESERVED for `svshape2`, 2 Modes
1018 are RESERVED)
1019
1020 | SVRM | Remap Mode description |
1021 | -- | -- |
1022 | 0b0000 | Matrix 1/2/3D |
1023 | 0b0001 | FFT Butterfly |
1024 | 0b0010 | reserved |
1025 | 0b0011 | DCT Outer butterfly |
1026 | 0b0100 | DCT Inner butterfly, on-the-fly (Vertical-First Mode) |
1027 | 0b0101 | DCT COS table index generation |
1028 | 0b0110 | DCT half-swap |
1029 | 0b0111 | Parallel Reduction |
1030 | 0b1000 | reserved for svshape2 |
1031 | 0b1001 | reserved for svshape2 |
1032 | 0b1010 | reserved |
1033 | 0b1011 | iDCT Outer butterfly |
1034 | 0b1100 | iDCT Inner butterfly, on-the-fly (Vertical-First Mode) |
1035 | 0b1101 | iDCT COS table index generation |
1036 | 0b1110 | iDCT half-swap |
1037 | 0b1111 | FFT half-swap |
1038
1039 Examples showing how all of these Modes operate exists in the online
1040 [SVP64 unit tests](https://git.libre-soc.org/?p=openpower-isa.git;a=tree;f=src/openpower/decoder/isa;hb=HEAD). Explaining
1041 these Modes further in detail is beyond the scope of this document.
1042
1043 In Indexed Mode, there are only 5 bits available to specify the GPR
1044 to use, out of 128 GPRs (7 bit numbering). Therefore, only the top
1045 5 bits are given in the `SVxd` field: the bottom two implicit bits
1046 will be zero (`SVxd || 0b00`).
1047
1048 `svshape` has *limited applicability* due to being a 32-bit instruction.
1049 The full capability of SVSHAPE SPRs may be accessed by directly writing
1050 to SVSHAPE0-3 with `mtspr`. Circumstances include Matrices with dimensions
1051 larger than 32, and in-place Transpose. Potentially a future v3.1 Prefixed
1052 instruction, `psvshape`, may extend the capability here.
1053
1054 *Architectural Resource Allocation note: the SVRM field is carefully
1055 crafted to allocate two Modes, corresponding to bits 21-23 within the
1056 instruction being set to the value `0b100`, to `svshape2` (not
1057 `svshape`). These two Modes are
1058 considered "RESERVED" within the context of `svshape` but it is
1059 absolutely critical to allocate the exact same pattern in XO for
1060 both instructions in bits 26-31.*
1061
1062 -------------
1063
1064 \newpage{}
1065
1066
1067 # svindex instruction <a name="svindex"> </a>
1068
1069 SVI-Form
1070
1071 | 0:5|6:10 |11:15 |16:20 | 21:25 | 26:31 | Form |
1072 | -- | -- | --- | ---- | ----------- | ------| -------- |
1073 | PO | SVG | rmm | SVd | ew/yx/mm/sk | XO | SVI-Form |
1074
1075 * svindex SVG,rmm,SVd,ew,SVyx,mm,sk
1076
1077 Pseudo-code:
1078
1079 ```
1080 # based on nearest MAXVL compute other dimension
1081 MVL <- SVSTATE[0:6]
1082 d <- [0] * 6
1083 dim <- SVd+1
1084 do while d*dim <u ([0]*4 || MVL)
1085 d <- d + 1
1086
1087 # set up template, then copy once location identified
1088 shape <- [0]*32
1089 shape[30:31] <- 0b00 # mode
1090 if SVyx = 0 then
1091 shape[18:20] <- 0b110 # indexed xd/yd
1092 shape[0:5] <- (0b0 || SVd) # xdim
1093 if sk = 0 then shape[6:11] <- 0 # ydim
1094 else shape[6:11] <- 0b111111 # ydim max
1095 else
1096 shape[18:20] <- 0b111 # indexed yd/xd
1097 if sk = 1 then shape[6:11] <- 0 # ydim
1098 else shape[6:11] <- d-1 # ydim max
1099 shape[0:5] <- (0b0 || SVd) # ydim
1100 shape[12:17] <- (0b0 || SVG) # SVGPR
1101 shape[28:29] <- ew # element-width override
1102 shape[21] <- sk # skip 1st dimension
1103
1104 # select the mode for updating SVSHAPEs
1105 SVSTATE[62] <- mm # set or clear persistence
1106 if mm = 0 then
1107 # clear out all SVSHAPEs first
1108 SVSHAPE0[0:31] <- [0] * 32
1109 SVSHAPE1[0:31] <- [0] * 32
1110 SVSHAPE2[0:31] <- [0] * 32
1111 SVSHAPE3[0:31] <- [0] * 32
1112 SVSTATE[32:41] <- [0] * 10 # clear REMAP.mi/o
1113 SVSTATE[42:46] <- rmm # rmm exactly REMAP.SVme
1114 idx <- 0
1115 for bit = 0 to 4
1116 if rmm[4-bit] then
1117 # activate requested shape
1118 if idx = 0 then SVSHAPE0 <- shape
1119 if idx = 1 then SVSHAPE1 <- shape
1120 if idx = 2 then SVSHAPE2 <- shape
1121 if idx = 3 then SVSHAPE3 <- shape
1122 SVSTATE[bit*2+32:bit*2+33] <- idx
1123 # increment shape index, modulo 4
1124 if idx = 3 then idx <- 0
1125 else idx <- idx + 1
1126 else
1127 # refined SVSHAPE/REMAP update mode
1128 bit <- rmm[0:2]
1129 idx <- rmm[3:4]
1130 if idx = 0 then SVSHAPE0 <- shape
1131 if idx = 1 then SVSHAPE1 <- shape
1132 if idx = 2 then SVSHAPE2 <- shape
1133 if idx = 3 then SVSHAPE3 <- shape
1134 SVSTATE[bit*2+32:bit*2+33] <- idx
1135 SVSTATE[46-bit] <- 1
1136 ```
1137
1138 Special Registers Altered:
1139
1140 ```
1141 SVSTATE, SVSHAPE0-3
1142 ```
1143
1144 `svindex` is a convenience instruction that reduces instruction count
1145 for Indexed REMAP Mode. It sets up (overwrites) all required SVSHAPE
1146 SPRs and **unlike** `svshape` can modify the REMAP area of the SVSTATE
1147 SPR as well, including setting persistence. The relevant SPRs *may*
1148 be directly programmed with `mtspr` however it is laborious to do so:
1149 svindex saves instructions covering much of Indexed REMAP capability.
1150
1151 Fields:
1152
1153 * **SVd** - SV REMAP x/y dim
1154 * **rmm** - REMAP mask: sets remap mi0-2/mo0-1 and SVSHAPEs,
1155 controlled by mm
1156 * **ew** - sets element width override on the Indices
1157 * **SVG** - GPR SVG<<2 to be used for Indexing
1158 * **yx** - 2D reordering to be used if yx=1
1159 * **mm** - mask mode. determines how `rmm` is interpreted.
1160 * **sk** - Dimension skipping enabled
1161
1162 *Note: SVd, like SVxd, SVyz and SVzd of `svshape`, are all stored
1163 "off-by-one". In the assembler
1164 mnemonic the values `1-32` are stored in binary as `0b00000..0b11111`*.
1165
1166 *Note: when `yx=1,sk=0` the second dimension is calculated as
1167 `CEIL(MAXVL/SVd)`*.
1168
1169 When `mm=0`:
1170
1171 * `rmm`, like REMAP.SVme, has bit 0
1172 correspond to mi0, bit 1 to mi1, bit 2 to mi2,
1173 bit 3 to mo0 and bit 4 to mi1
1174 * all SVSHAPEs and the REMAP parts of SVSHAPE are first reset (initialised to zero)
1175 * for each bit set in the 5-bit `rmm`, in order, the first
1176 as-yet-unset SVSHAPE will be updated
1177 with the other operands in the instruction, and the REMAP
1178 SPR set.
1179 * If all 5 bits of `rmm` are set then both mi0 and mo1 use SVSHAPE0.
1180 * SVSTATE persistence bit is cleared
1181 * No other alterations to SVSTATE are carried out
1182
1183 Example 1: if rmm=0b00110 then SVSHAPE0 and SVSHAPE1 are set up,
1184 and the REMAP SPR set so that mi1 uses SVSHAPE0 and mi2
1185 uses mi2. REMAP.SVme is also set to 0b00110, REMAP.mi1=0
1186 (SVSHAPE0) and REMAP.mi2=1 (SVSHAPE1)
1187
1188 Example 2: if rmm=0b10001 then again SVSHAPE0 and SVSHAPE1
1189 are set up, but the REMAP SPR is set so that mi0 uses SVSHAPE0
1190 and mo1 uses SVSHAPE1. REMAP.SVme=0b10001, REMAP.mi0=0, REMAP.mo1=1
1191
1192 Rough algorithmic form:
1193
1194 ```
1195 marray = [mi0, mi1, mi2, mo0, mo1]
1196 idx = 0
1197 for bit = 0 to 4:
1198 if not rmm[bit]: continue
1199 setup(SVSHAPE[idx])
1200 SVSTATE{marray[bit]} = idx
1201 idx = (idx+1) modulo 4
1202 ```
1203
1204 When `mm=1`:
1205
1206 * bits 0-2 (MSB0 numbering) of `rmm` indicate an index selecting mi0-mo1
1207 * bits 3-4 (MSB0 numbering) of `rmm` indicate which SVSHAPE 0-3 shall
1208 be updated
1209 * only the selected SVSHAPE is overwritten
1210 * only the relevant bits in the REMAP area of SVSTATE are updated
1211 * REMAP persistence bit is set.
1212
1213 Example 1: if `rmm`=0b01110 then bits 0-2 (MSB0) are 0b011 and
1214 bits 3-4 are 0b10. thus, mo0 is selected and SVSHAPE2
1215 to be updated. REMAP.SVme[3] will be set high and REMAP.mo0
1216 set to 2 (SVSHAPE2).
1217
1218 Example 2: if `rmm`=0b10011 then bits 0-2 (MSB0) are 0b100 and
1219 bits 3-4 are 0b11. thus, mo1 is selected and SVSHAPE3
1220 to be updated. REMAP.SVme[4] will be set high and REMAP.mo1
1221 set to 3 (SVSHAPE3).
1222
1223 Rough algorithmic form:
1224
1225 ```
1226 marray = [mi0, mi1, mi2, mo0, mo1]
1227 bit = rmm[0:2]
1228 idx = rmm[3:4]
1229 setup(SVSHAPE[idx])
1230 SVSTATE{marray[bit]} = idx
1231 SVSTATE.pst = 1
1232 ```
1233
1234 In essence, `mm=0` is intended for use to set as much of the
1235 REMAP State SPRs as practical with a single instruction,
1236 whilst `mm=1` is intended to be a little more refined.
1237
1238 **Usage guidelines**
1239
1240 * **Disable 2D mapping**: to only perform Indexing without
1241 reordering use `SVd=1,sk=0,yx=0` (or set SVd to a value larger
1242 or equal to VL)
1243 * **Modulo 1D mapping**: to perform Indexing cycling through the
1244 first N Indices use `SVd=N,sk=0,yx=0` where `VL>N`. There is
1245 no requirement to set VL equal to a multiple of N.
1246 * **Modulo 2D transposed**: `SVd=M,sk=0,yx=1`, sets
1247 `xdim=M,ydim=CEIL(MAXVL/M)`.
1248
1249 Beyond these mappings it becomes necessary to write directly to
1250 the SVSTATE SPRs manually.
1251
1252 -------------
1253
1254 \newpage{}
1255
1256
1257 # svshape2 (offset-priority) <a name="svshape2"> </a>
1258
1259 SVM2-Form
1260
1261 | 0:5|6:9 |10|11:15 |16:20 | 21:24 | 25 | 26:31 | Form |
1262 | -- |----|--| --- | ----- | ------ | -- | ------| -------- |
1263 | PO |offs|yx| rmm | SVd | 100/mm | sk | XO | SVM2-Form |
1264
1265 * svshape2 offs,yx,rmm,SVd,sk,mm
1266
1267 Pseudo-code:
1268
1269 ```
1270 # based on nearest MAXVL compute other dimension
1271 MVL <- SVSTATE[0:6]
1272 d <- [0] * 6
1273 dim <- SVd+1
1274 do while d*dim <u ([0]*4 || MVL)
1275 d <- d + 1
1276 # set up template, then copy once location identified
1277 shape <- [0]*32
1278 shape[30:31] <- 0b00 # mode
1279 shape[0:5] <- (0b0 || SVd) # x/ydim
1280 if SVyx = 0 then
1281 shape[18:20] <- 0b000 # ordering xd/yd(/zd)
1282 if sk = 0 then shape[6:11] <- 0 # ydim
1283 else shape[6:11] <- 0b111111 # ydim max
1284 else
1285 shape[18:20] <- 0b010 # ordering yd/xd(/zd)
1286 if sk = 1 then shape[6:11] <- 0 # ydim
1287 else shape[6:11] <- d-1 # ydim max
1288 # offset (the prime purpose of this instruction)
1289 shape[24:27] <- SVo # offset
1290 if sk = 1 then shape[28:29] <- 0b01 # skip 1st dimension
1291 else shape[28:29] <- 0b00 # no skipping
1292 # select the mode for updating SVSHAPEs
1293 SVSTATE[62] <- mm # set or clear persistence
1294 if mm = 0 then
1295 # clear out all SVSHAPEs first
1296 SVSHAPE0[0:31] <- [0] * 32
1297 SVSHAPE1[0:31] <- [0] * 32
1298 SVSHAPE2[0:31] <- [0] * 32
1299 SVSHAPE3[0:31] <- [0] * 32
1300 SVSTATE[32:41] <- [0] * 10 # clear REMAP.mi/o
1301 SVSTATE[42:46] <- rmm # rmm exactly REMAP.SVme
1302 idx <- 0
1303 for bit = 0 to 4
1304 if rmm[4-bit] then
1305 # activate requested shape
1306 if idx = 0 then SVSHAPE0 <- shape
1307 if idx = 1 then SVSHAPE1 <- shape
1308 if idx = 2 then SVSHAPE2 <- shape
1309 if idx = 3 then SVSHAPE3 <- shape
1310 SVSTATE[bit*2+32:bit*2+33] <- idx
1311 # increment shape index, modulo 4
1312 if idx = 3 then idx <- 0
1313 else idx <- idx + 1
1314 else
1315 # refined SVSHAPE/REMAP update mode
1316 bit <- rmm[0:2]
1317 idx <- rmm[3:4]
1318 if idx = 0 then SVSHAPE0 <- shape
1319 if idx = 1 then SVSHAPE1 <- shape
1320 if idx = 2 then SVSHAPE2 <- shape
1321 if idx = 3 then SVSHAPE3 <- shape
1322 SVSTATE[bit*2+32:bit*2+33] <- idx
1323 SVSTATE[46-bit] <- 1
1324 ```
1325
1326 Special Registers Altered:
1327
1328 ```
1329 SVSTATE, SVSHAPE0-3
1330 ```
1331
1332 `svshape2` is an additional convenience instruction that prioritises
1333 setting `SVSHAPE.offset`. Its primary purpose is for use when
1334 element-width overrides are used. It has identical capabilities to `svindex` and
1335 in terms of both options (skip, etc.) and ability to activate REMAP
1336 (rmm, mask mode) but unlike `svindex` it does not set GPR REMAP,
1337 only a 1D or 2D `svshape`, and
1338 unlike `svshape` it can set an arbirrary `SVSHAPE.offset` immediate.
1339
1340 One of the limitations of Simple-V is that Vector elements start on the boundary
1341 of the Scalar regfile, which is fine when element-width overrides are not
1342 needed. If the starting point of a Vector with smaller elwidths must begin
1343 in the middle of a register, normally there would be no way to do so except
1344 through LD/ST. `SVSHAPE.offset` caters for this scenario and `svshape2`is
1345 makes it easier.
1346
1347 **Operand Fields**:
1348
1349 * **offs** (4 bits) - unsigned offset
1350 * **yx** (1 bit) - swap XY to YX
1351 * **SVd** dimension size
1352 * **rmm** REMAP mask
1353 * **mm** mask mode
1354 * **sk** (1 bit) skips 1st dimension if set
1355
1356 Dimensions are calculated exactly as `svindex`. `rmm` and
1357 `mm` are as per `svindex`.
1358
1359 *Programmer's Note: offsets for `svshape2` may be specified in the range
1360 0-15. Given that the principle of Simple-V is to fit on top of
1361 byte-addressable register files and that GPR and FPR are 64-bit (8 bytes)
1362 it should be clear that the offset may, when `elwidth=8`, begin an
1363 element-level operation starting element zero at any arbitrary byte.
1364 On cursory examination attempting to go beyond the range 0-7 seems
1365 unnecessary given that the **next GPR or FPR** is an
1366 alias for an offset in the range 8-15. Thus by simply increasing
1367 the starting Vector point of the operation to the next register it
1368 can be seen that the offset of 0-7 would be sufficient. Unfortunately
1369 however some operations are EXTRA2-encoded it is **not possible**
1370 to increase the GPR/FPR register number by one, because EXTRA2-encoding
1371 of GPR/FPR Vector numbers are restricted to even numbering.
1372 For CR Fields the EXTRA2 encoding is even more sparse.
1373 The additional offset range (8-15) helps overcome these limitations.*
1374
1375 *Hardware Implementor's note: with the offsets only being immediates
1376 and with register numbering being entirely immediate as well it is
1377 possible to correctly compute Register Hazards without requiring
1378 reading the contents of any SPRs. If however there are
1379 instructions that have directly written to the SVSTATE or SVSHAPE
1380 SPRs and those instructions are still in-flight then this position
1381 is clearly **invalid**. This is why Programmers are strongly
1382 discouraged from directly writing to these SPRs.*
1383
1384 *Architectural Resource Allocation note: this instruction shares
1385 the space of `svshape`. Therefore it is critical that the two
1386 instructions, `svshape` and `svshape2` have the exact same XO
1387 in bits 26 thru 31. It is also critical that for `svshape2`,
1388 bit 21 of XO is a 1, bit 22 of XO is a 0, and bit 23 of XO is a 0.*
1389
1390 [[!tag standards]]
1391
1392 -------------
1393
1394 \newpage{}
1395