corrections
[libreriscv.git] / simple_v_extension / simple_v_chennai_2018.tex
1 \documentclass[slidestop]{beamer}
2 \usepackage{beamerthemesplit}
3 \usepackage{graphics}
4 \usepackage{pstricks}
5
6 \title{Simple-V RISC-V Extension for Vectorisation and SIMD}
7 \author{Luke Kenneth Casson Leighton}
8
9
10 \begin{document}
11
12 \frame{
13 \begin{center}
14 \huge{Simple-V RISC-V Extension for Vectors and SIMD}\\
15 \vspace{32pt}
16 \Large{Flexible Vectorisation}\\
17 \Large{(aka not so Simple-V?)}\\
18 \Large{(aka How to Parallelise the RISC-V ISA)}\\
19 \vspace{24pt}
20 \Large{[proposed for] Chennai 9th RISC-V Workshop}\\
21 \vspace{16pt}
22 \large{\today}
23 \end{center}
24 }
25
26
27 \frame{\frametitle{Credits and Acknowledgements}
28
29 \begin{itemize}
30 \item The Designers of RISC-V\vspace{15pt}
31 \item The RVV Working Group and contributors\vspace{15pt}
32 \item Allen Baum, Jacob Bachmeyer, Xan Phung, Chuanhua Chang,\\
33 Guy Lemurieux, Jonathan Neuschafer, Roger Brussee,
34 and others\vspace{15pt}
35 \item ISA-Dev Group Members\vspace{10pt}
36 \end{itemize}
37 }
38
39
40 \frame{\frametitle{Quick refresher on SIMD}
41
42 \begin{itemize}
43 \item SIMD very easy to implement (and very seductive)\vspace{8pt}
44 \item Parallelism is in the ALU\vspace{8pt}
45 \item Zero-to-Negligeable impact for rest of core\vspace{8pt}
46 \end{itemize}
47 Where SIMD Goes Wrong:\vspace{10pt}
48 \begin{itemize}
49 \item See "SIMD instructions considered harmful"
50 https://sigarch.org/simd-instructions-considered-harmful
51 \item Setup and corner-cases alone are extremely complex.\\
52 Hardware is easy, but software is hell.
53 \item O($N^{6}$) ISA opcode proliferation!\\
54 opcode, elwidth, veclen, src1-src2-dest hi/lo
55 \end{itemize}
56 }
57
58 \frame{\frametitle{Quick refresher on RVV}
59
60 \begin{itemize}
61 \item Extremely powerful (extensible to 256 registers)\vspace{10pt}
62 \item Supports polymorphism, several datatypes (inc. FP16)\vspace{10pt}
63 \item Requires a separate Register File (32 w/ext to 256)\vspace{10pt}
64 \item Implemented as a separate pipeline (no impact on scalar)\vspace{10pt}
65 \end{itemize}
66 However...\vspace{10pt}
67 \begin{itemize}
68 \item 98 percent opcode duplication with rest of RV (CLIP)
69 \item Extending RVV requires customisation not just of h/w:\\
70 gcc, binutils also need customisation (and maintenance)
71 \end{itemize}
72 }
73
74
75 \frame{\frametitle{The Simon Sinek lowdown (Why, How, What)}
76
77 \begin{itemize}
78 \item Why?
79 Implementors need flexibility in vectorisation to optimise for
80 area or performance depending on the scope:
81 embedded DSP, Mobile GPU's, Server CPU's and more.\vspace{4pt}\\
82 Compilers also need flexibility in vectorisation to optimise for cost
83 of pipeline setup, amount of state to context switch
84 and software portability\vspace{4pt}
85 \item How?
86 By marking INT/FP regs as "Vectorised" and
87 adding a level of indirection,
88 SV expresses how existing instructions should act
89 on [contiguous] blocks of registers, in parallel.\vspace{4pt}
90 \item What?
91 Simple-V is an "API" that implicitly extends
92 existing (scalar) instructions with explicit parallelisation\\
93 (i.e. SV is actually about parallelism NOT vectors per se)
94 \end{itemize}
95 }
96
97
98 \frame{\frametitle{What's the value of SV? Why adopt it even in non-V?}
99
100 \begin{itemize}
101 \item memcpy becomes much smaller (higher bang-per-buck)
102 \item context-switch (LOAD/STORE multiple): 1-2 instructions
103 \item Compressed instrs further reduces I-cache (etc.)
104 \item Greatly-reduced I-cache load (and less reads)
105 \item Amazingly, SIMD becomes (more) tolerable\\
106 (corner-cases for setup and teardown are gone)
107 \item Modularity/Abstraction in both the h/w and the toolchain.
108 \end{itemize}
109 Note:
110 \begin{itemize}
111 \item It's not just about Vectors: it's about instruction effectiveness
112 \item Anything that makes SIMD tolerable has to be a good thing
113 \item Anything implementor is not interested in HW-optimising,\\
114 let it fall through to exceptions (implement as a trap).
115 \end{itemize}
116 }
117
118
119 \frame{\frametitle{How does Simple-V relate to RVV? What's different?}
120
121 \begin{itemize}
122 \item RVV very heavy-duty (excellent for supercomputing)\vspace{10pt}
123 \item Simple-V abstracts parallelism (based on best of RVV)\vspace{10pt}
124 \item Graded levels: hardware, hybrid or traps (fit impl. need)\vspace{10pt}
125 \item Even Compressed become vectorised (RVV can't)\vspace{10pt}
126 \end{itemize}
127 What Simple-V is not:\vspace{10pt}
128 \begin{itemize}
129 \item A full supercomputer-level Vector Proposal
130 \item A replacement for RVV (SV is designed to be over-ridden\\
131 by - or augmented to become - RVV)
132 \end{itemize}
133 }
134
135
136 \frame{\frametitle{How is Parallelism abstracted in Simple-V?}
137
138 \begin{itemize}
139 \item Register "typing" turns any op into an implicit Vector op:\\
140 registers are reinterpreted through a level of indirection
141 \item Primarily at the Instruction issue phase (except SIMD)\\
142 Note: it's ok to pass predication through to ALU (like SIMD)
143 \item Standard (and future, and custom) opcodes now parallel\vspace{10pt}
144 \end{itemize}
145 Note: EVERYTHING is parallelised:
146 \begin{itemize}
147 \item All LOAD/STORE (inc. Compressed, Int/FP versions)
148 \item All ALU ops (Int, FP, SIMD, DSP, everything)
149 \item All branches become predication targets (C.FNE added?)
150 \item C.MV of particular interest (s/v, v/v, v/s)
151 \item FCVT, FMV, FSGNJ etc. very similar to C.MV
152 \end{itemize}
153 }
154
155
156 \frame{\frametitle{Implementation Options}
157
158 \begin{itemize}
159 \item Absolute minimum: Exceptions: if CSRs indicate "V", trap.\\
160 (Requires as absolute minimum that CSRs be in H/W)
161 \item Hardware loop, single-instruction issue\\
162 (Do / Don't send through predication to ALU)
163 \item Hardware loop, parallel (multi-instruction) issue\\
164 (Do / Don't send through predication to ALU)
165 \item Hardware loop, full parallel ALU (not recommended)
166 \end{itemize}
167 Notes:\vspace{4pt}
168 \begin{itemize}
169 \item 4 (or more?) options above may be deployed on per-op basis
170 \item SIMD always sends predication bits through to ALU
171 \item Minimum MVL MUST be sufficient to cover regfile LD/ST
172 \item Instr. FIFO may repeatedly split off N scalar ops at a time
173 \end{itemize}
174 }
175 % Instr. FIFO may need its own slide. Basically, the vectorised op
176 % gets pushed into the FIFO, where it is then "processed". Processing
177 % will remove the first set of ops from its vector numbering (taking
178 % predication into account) and shoving them **BACK** into the FIFO,
179 % but MODIFYING the remaining "vectorised" op, subtracting the now
180 % scalar ops from it.
181
182 \frame{\frametitle{Predicated 8-parallel ADD: 1-wide ALU}
183 \begin{center}
184 \includegraphics[height=2.5in]{padd9_alu1.png}\\
185 {\bf \red Predicated adds are shuffled down: 6 cycles in total}
186 \end{center}
187 }
188
189
190 \frame{\frametitle{Predicated 8-parallel ADD: 4-wide ALU}
191 \begin{center}
192 \includegraphics[height=2.5in]{padd9_alu4.png}\\
193 {\bf \red Predicated adds are shuffled down: 4 in 1st cycle, 2 in 2nd}
194 \end{center}
195 }
196
197
198 \frame{\frametitle{Predicated 8-parallel ADD: 3 phase FIFO expansion}
199 \begin{center}
200 \includegraphics[height=2.5in]{padd9_fifo.png}\\
201 {\bf \red First cycle takes first four 1s; second takes the rest}
202 \end{center}
203 }
204
205
206 \frame{\frametitle{How are SIMD Instructions Vectorised?}
207
208 \begin{itemize}
209 \item SIMD ALU(s) primarily unchanged\vspace{6pt}
210 \item Predication is added to each SIMD element\vspace{6pt}
211 \item Predication bits sent in groups to the ALU\vspace{6pt}
212 \item End of Vector enables (additional) predication\\
213 (completely nullifies need for end-case code)
214 \end{itemize}
215 Considerations:\vspace{4pt}
216 \begin{itemize}
217 \item Many SIMD ALUs possible (parallel execution)
218 \item Implementor free to choose (API remains the same)
219 \item Unused ALU units wasted, but s/w DRASTICALLY simpler
220 \item Very long SIMD ALUs could waste significant die area
221 \end{itemize}
222 }
223 % With multiple SIMD ALUs at for example 32-bit wide they can be used
224 % to either issue 64-bit or 128-bit or 256-bit wide SIMD operations
225 % or they can be used to cover several operations on totally different
226 % vectors / registers.
227
228 \frame{\frametitle{Predicated 9-parallel SIMD ADD}
229 \begin{center}
230 \includegraphics[height=2.5in]{padd9_simd.png}\\
231 {\bf \red 4-wide 8-bit SIMD, 4 bits of predicate passed to ALU}
232 \end{center}
233 }
234
235
236 \frame{\frametitle{What's the deal / juice / score?}
237
238 \begin{itemize}
239 \item Standard Register File(s) overloaded with CSR "reg is vector"\\
240 (see pseudocode slides for examples)
241 \item Element width (and type?) concepts remain same as RVV\\
242 (CSRs give new size (and meaning?) to elements in registers)
243 \item CSRs are key-value tables (overlaps allowed)\vspace{10pt}
244 \end{itemize}
245 Key differences from RVV:\vspace{10pt}
246 \begin{itemize}
247 \item Predication in INT regs as a BIT field (max VL=XLEN)
248 \item Minimum VL must be Num Regs - 1 (all regs single LD/ST)
249 \item SV may condense sparse Vecs: RVV lets ALU do predication
250 \item Choice to Zero or skip non-predicated elements
251 \end{itemize}
252 }
253
254
255 \begin{frame}[fragile]
256 \frametitle{ADD pseudocode (or trap, or actual hardware loop)}
257
258 \begin{semiverbatim}
259 function op\_add(rd, rs1, rs2, predr) # add not VADD!
260  int i, id=0, irs1=0, irs2=0;
261  for (i = 0; i < VL; i++)
262   if (ireg[predr] & 1<<i) # predication uses intregs
263    ireg[rd+id] <= ireg[rs1+irs1] + ireg[rs2+irs2];
264 if (reg\_is\_vectorised[rd]) \{ id += 1; \}
265 if (reg\_is\_vectorised[rs1]) \{ irs1 += 1; \}
266 if (reg\_is\_vectorised[rs2]) \{ irs2 += 1; \}
267 \end{semiverbatim}
268
269 \begin{itemize}
270 \item Above is oversimplified: Reg. indirection left out (for clarity).
271 \item SIMD slightly more complex (case above is elwidth = default)
272 \item Scalar-scalar and scalar-vector and vector-vector now all in one
273 \item OoO may choose to push ADDs into instr. queue (v. busy!)
274 \end{itemize}
275 \end{frame}
276
277 % yes it really *is* ADD not VADD. that's the entire point of
278 % this proposal, that *standard* operations are overloaded to
279 % become vectorised-on-demand
280
281
282 \begin{frame}[fragile]
283 \frametitle{Predication-Branch (or trap, or actual hardware loop)}
284
285 \begin{semiverbatim}
286 s1 = reg\_is\_vectorised(src1);
287 s2 = reg\_is\_vectorised(src2);
288 if (!s2 && !s1) goto branch;
289 for (int i = 0; i < VL; ++i)
290 if (cmp(s1 ? reg[src1+i]:reg[src1],
291 s2 ? reg[src2+i]:reg[src2])
292 ireg[rs3] |= 1<<i;
293 \end{semiverbatim}
294
295 \begin{itemize}
296 \item SIMD slightly more complex (case above is elwidth = default)
297 \item If s1 and s2 both scalars, Standard branch occurs
298 \item Predication stored in integer regfile as a bitfield
299 \item Scalar-vector and vector-vector supported
300 \item Overload Branch immediate to be predication target rs3
301 \end{itemize}
302 \end{frame}
303
304 \begin{frame}[fragile]
305 \frametitle{VLD/VLD.S/VLD.X (or trap, or actual hardware loop)}
306
307 \begin{semiverbatim}
308 if (unit-strided) stride = elsize;
309 else stride = areg[as2]; // constant-strided
310 for (int i = 0; i < VL; ++i)
311 if (preg\_enabled[rd] && ([!]preg[rd] & 1<<i))
312 for (int j = 0; j < seglen+1; j++)
313 if (reg\_is\_vectorised[rs2]) offs = vreg[rs2+i]
314 else offs = i*(seglen+1)*stride;
315 vreg[rd+j][i] = mem[sreg[base] + offs + j*stride]
316 \end{semiverbatim}
317
318 \begin{itemize}
319 \item Again: elwidth != default slightly more complex
320 \item rs2 vectorised taken to implicitly indicate VLD.X
321 \end{itemize}
322 \end{frame}
323
324
325 \frame{\frametitle{Why are overlaps allowed in Regfiles?}
326
327 \begin{itemize}
328 \item Same register(s) can have multiple "interpretations"
329 \item Set "real" register (scalar) without needing to set/unset CSRs.
330 \item xBitManip plus SIMD plus xBitManip = Hi/Lo bitops
331 \item (32-bit GREV plus 4x8-bit SIMD plus 32-bit GREV:\\
332 GREV @ VL=N,wid=32; SIMD @ VL=Nx4,wid=8)
333 \item RGB 565 (video): BEXTW plus 4x8-bit SIMD plus BDEPW\\
334 (BEXT/BDEP @ VL=N,wid=32; SIMD @ VL=Nx4,wid=8)
335 \item Same register(s) can be offset (no need for VSLIDE)\vspace{6pt}
336 \end{itemize}
337 Note:
338 \begin{itemize}
339 \item xBitManip reduces O($N^{6}$) SIMD down to O($N^{3}$)
340 \item Hi-Performance: Macro-op fusion (more pipeline stages?)
341 \end{itemize}
342 }
343
344
345 \frame{\frametitle{To Zero or not to place zeros in non-predicated elements?}
346
347 \begin{itemize}
348 \item Zeroing is an implementation optimisation favouring OoO
349 \item Simple implementations may skip non-predicated operations
350 \item Simple implementations explicitly have to destroy data
351 \item Complex implementations may use reg-renames to save power\\
352 Zeroing on predication chains makes optimisation harder
353 \item Compromise: REQUIRE both (specified in predication CSRs).
354 \end{itemize}
355 Considerations:
356 \begin{itemize}
357 \item Complex not really impacted, simple impacted a LOT\\
358 with Zeroing... however it's useful (memzero)
359 \item Non-zero'd overlapping "Vectors" may issue overlapping ops\\
360 (2nd op's predicated elements slot in 1st's non-predicated ops)
361 \item Please don't use Vectors for "security" (use Sec-Ext)
362 \end{itemize}
363 }
364 % with overlapping "vectors" - bearing in mind that "vectors" are
365 % just a remap onto the standard register file, if the top bits of
366 % predication are zero, and there happens to be a second vector
367 % that uses some of the same register file that happens to be
368 % predicated out, the second vector op may be issued *at the same time*
369 % if there are available parallel ALUs to do so.
370
371
372 \frame{\frametitle{Predication key-value CSR store}
373
374 \begin{itemize}
375 \item key is int regfile number or FP regfile number (1 bit)\vspace{6pt}
376 \item register to be predicated if referred to (5 bits, key)\vspace{6pt}
377 \item register to store actual predication in (5 bits, value)\vspace{6pt}
378 \item predication is inverted Y/N (1 bit)\vspace{6pt}
379 \item non-predicated elements are to be zero'd Y/N (1 bit)\vspace{6pt}
380 \end{itemize}
381 Notes:\vspace{10pt}
382 \begin{itemize}
383 \item Table should be expanded out for high-speed implementations
384 \item Multiple "keys" (and values) theoretically permitted
385 \item RVV rules about deleting higher-indexed CSRs followed
386 \end{itemize}
387 }
388
389
390 \begin{frame}[fragile]
391 \frametitle{Predication key-value CSR table decoding pseudocode}
392
393 \begin{semiverbatim}
394 struct pred fp\_pred[32];
395 struct pred int\_pred[32];
396
397 for (i = 0; i < 16; i++) // 16 CSRs?
398 tb = int\_pred if CSRpred[i].type == 0 else fp\_pred
399 idx = CSRpred[i].regidx
400 tb[idx].zero = CSRpred[i].zero
401 tb[idx].inv = CSRpred[i].inv
402 tb[idx].predidx = CSRpred[i].predidx
403 tb[idx].enabled = true
404 \end{semiverbatim}
405
406 \begin{itemize}
407 \item All 64 (int and FP) Entries zero'd before setting
408 \item Might be a bit complex to set up (TBD)
409 \end{itemize}
410
411 \end{frame}
412
413
414 \begin{frame}[fragile]
415 \frametitle{Get Predication value pseudocode}
416
417 \begin{semiverbatim}
418 def get\_pred\_val(bool is\_fp\_op, int reg):
419 tb = int\_pred if is\_fp\_op else fp\_pred
420 if (!tb[reg].enabled):
421 return ~0x0 // all ops enabled
422 predidx = tb[reg].predidx // redirection occurs HERE
423 predicate = intreg[predidx] // actual predicate HERE
424 if (tb[reg].inv):
425 predicate = ~predicate
426 return predicate
427 \end{semiverbatim}
428
429 \begin{itemize}
430 \item References different (internal) mapping table for INT or FP
431 \item Actual predicate bitmask ALWAYS from the INT regfile
432 \end{itemize}
433
434 \end{frame}
435
436
437 \frame{\frametitle{Register key-value CSR store}
438
439 \begin{itemize}
440 \item key is int regfile number or FP regfile number (1 bit)\vspace{6pt}
441 \item treated as vector if referred to in op (5 bits, key)\vspace{6pt}
442 \item starting register to actually be used (5 bits, value)\vspace{6pt}
443 \item element bitwidth: default/8/16/32/64/rsvd (3 bits)\vspace{6pt}
444 \item element type: still under consideration\vspace{6pt}
445 \end{itemize}
446 Notes:\vspace{10pt}
447 \begin{itemize}
448 \item Same notes apply (previous slide) as for predication CSR table
449 \item Level of indirection has implications for pipeline latency
450 \end{itemize}
451 }
452
453
454 \begin{frame}[fragile]
455 \frametitle{Register key-value CSR table decoding pseudocode}
456
457 \begin{semiverbatim}
458 struct vectorised fp\_vec[32];
459 struct vectorised int\_vec[32];
460
461 for (i = 0; i < 16; i++) // 16 CSRs?
462 tb = int\_vec if CSRvectortb[i].type == 0 else fp\_vec
463 idx = CSRvectortb[i].regidx
464 tb[idx].elwidth = CSRpred[i].elwidth
465 tb[idx].regidx = CSRpred[i].regidx
466 tb[idx].isvector = true
467 \end{semiverbatim}
468
469 \begin{itemize}
470 \item All 64 (int and FP) Entries zero'd before setting
471 \item Might be a bit complex to set up (TBD)
472 \end{itemize}
473
474 \end{frame}
475
476
477 \begin{frame}[fragile]
478 \frametitle{ADD pseudocode with redirection, this time}
479
480 \begin{semiverbatim}
481 function op\_add(rd, rs1, rs2) # add not VADD!
482  int i, id=0, irs1=0, irs2=0;
483  rd = int\_vec[rd ].isvector ? int\_vec[rd ].regidx : rd;
484  rs1 = int\_vec[rs1].isvector ? int\_vec[rs1].regidx : rs1;
485  rs2 = int\_vec[rs2].isvector ? int\_vec[rs2].regidx : rs2;
486  predval = get\_pred\_val(FALSE, rd);
487  for (i = 0; i < VL; i++)
488 if (predval \& 1<<i) # predication uses intregs
489    ireg[rd+id] <= ireg[rs1+irs1] + ireg[rs2+irs2];
490 if (int\_vec[rd ].isvector)  \{ id += 1; \}
491 if (int\_vec[rs1].isvector)  \{ irs1 += 1; \}
492 if (int\_vec[rs2].isvector)  \{ irs2 += 1; \}
493 \end{semiverbatim}
494
495 \begin{itemize}
496 \item SIMD (elwidth != default) not covered above
497 \end{itemize}
498 \end{frame}
499
500
501 \frame{\frametitle{C.MV extremely flexible!}
502
503 \begin{itemize}
504 \item scalar-to-vector (w/ no pred): VSPLAT
505 \item scalar-to-vector (w/ dest-pred): Sparse VSPLAT
506 \item scalar-to-vector (w/ 1-bit dest-pred): VINSERT
507 \item vector-to-scalar (w/ [1-bit?] src-pred): VEXTRACT
508 \item vector-to-vector (w/ no pred): Vector Copy
509 \item vector-to-vector (w/ src pred): Vector Gather
510 \item vector-to-vector (w/ dest pred): Vector Scatter
511 \item vector-to-vector (w/ src \& dest pred): Vector Gather/Scatter
512 \end{itemize}
513 \vspace{4pt}
514 Notes:
515 \begin{itemize}
516 \item Surprisingly powerful! Zero-predication even more so
517 \item Same arrangement for FVCT, FMV, FSGNJ etc.
518 \end{itemize}
519 }
520
521
522 \begin{frame}[fragile]
523 \frametitle{MV pseudocode with predication}
524
525 \begin{semiverbatim}
526 function op\_mv(rd, rs) # MV not VMV!
527  rd = int\_vec[rd].isvector ? int\_vec[rd].regidx : rd;
528  rs = int\_vec[rs].isvector ? int\_vec[rs].regidx : rs;
529  ps = get\_pred\_val(FALSE, rs); # predication on src
530  pd = get\_pred\_val(FALSE, rd); # ... AND on dest
531  for (int i = 0, int j = 0; i < VL && j < VL;):
532 if (int\_vec[rs].isvec) while (!(ps \& 1<<i)) i++;
533 if (int\_vec[rd].isvec) while (!(pd \& 1<<j)) j++;
534 ireg[rd+j] <= ireg[rs+i];
535 if (int\_vec[rs].isvec) i++;
536 if (int\_vec[rd].isvec) j++;
537 \end{semiverbatim}
538
539 \begin{itemize}
540 \item elwidth != default not covered above (might be a bit hairy)
541 \item Ending early with 1-bit predication not included (VINSERT)
542 \end{itemize}
543 \end{frame}
544
545
546 \begin{frame}[fragile]
547 \frametitle{VSELECT: stays or goes? Stays if MV.X exists...}
548
549 \begin{semiverbatim}
550 def op_mv_x(rd, rs): # (hypothetical) RV MX.X
551 rs = regfile[rs] # level of indirection (MV.X)
552 regfile[rd] = regfile[rs] # straight regcopy
553 \end{semiverbatim}
554
555 Vectorised version aka "VSELECT":
556
557 \begin{semiverbatim}
558 def op_mv_x(rd, rs): # SV version of MX.X
559 for i in range(VL):
560 rs1 = regfile[rs+i] # indirection
561 regfile[rd+i] = regfile[rs] # straight regcopy
562 \end{semiverbatim}
563
564 \begin{itemize}
565 \item However MV.X does not exist in RV, so neither can VSELECT
566 \item \red SV is not about adding new functionality, only parallelism
567 \end{itemize}
568
569
570 \end{frame}
571
572
573 \frame{\frametitle{Opcodes, compared to RVV}
574
575 \begin{itemize}
576 \item All integer and FP opcodes all removed (no CLIP, FNE)
577 \item VMPOP, VFIRST etc. all removed (use xBitManip)
578 \item VSLIDE removed (use regfile overlaps)
579 \item C.MV covers VEXTRACT VINSERT and VSPLAT (and more)
580 \item Vector (or scalar-vector) copy: use C.MV (MV is a pseudo-op)
581 \item VMERGE: twin predicated C.MVs (one inverted. macro-op'd)
582 \item VSETVL, VGETVL stay (the only ops that do!)
583 \end{itemize}
584 Issues:
585 \begin{itemize}
586 \item VSELECT stays? no MV.X, so no (add with custom ext?)
587 \item VSNE exists, but no FNE (use predication inversion?)
588 \item VCLIP is not in RV* (add with custom ext?)
589 \end{itemize}
590 }
591
592
593 \begin{frame}[fragile]
594 \frametitle{Example c code: DAXPY}
595
596 \begin{semiverbatim}
597 void daxpy(size_t n, double a,
598 const double x[], double y[])
599 \{
600 for (size_t i = 0; i < n; i++) \{
601 y[i] = a*x[i] + y[i];
602 \}
603 \}
604 \end{semiverbatim}
605
606 \begin{itemize}
607 \item See "SIMD Considered Harmful" for SIMD/RVV analysis\\
608 https://sigarch.org/simd-instructions-considered-harmful/
609 \end{itemize}
610
611
612 \end{frame}
613
614
615 \begin{frame}[fragile]
616 \frametitle{RVV DAXPY assembly (RV32V)}
617
618 \begin{semiverbatim}
619 # a0 is n, a1 is ptr to x[0], a2 is ptr to y[0], fa0 is a
620 li t0, 2<<25
621 vsetdcfg t0 # enable 2 64b Fl.Pt. registers
622 loop:
623 setvl t0, a0 # vl = t0 = min(mvl, n)
624 vld v0, a1 # load vector x
625 slli t1, t0, 3 # t1 = vl * 8 (in bytes)
626 vld v1, a2 # load vector y
627 add a1, a1, t1 # increment pointer to x by vl*8
628 vfmadd v1, v0, fa0, v1 # v1 += v0 * fa0 (y = a * x + y)
629 sub a0, a0, t0 # n -= vl (t0)
630 vst v1, a2 # store Y
631 add a2, a2, t1 # increment pointer to y by vl*8
632 bnez a0, loop # repeat if n != 0
633 \end{semiverbatim}
634 \end{frame}
635
636
637 \begin{frame}[fragile]
638 \frametitle{SV DAXPY assembly (RV64D)}
639
640 \begin{semiverbatim}
641 # a0 is n, a1 is ptr to x[0], a2 is ptr to y[0], fa0 is a
642 CSRvect1 = \{type: F, key: a3, val: a3, elwidth: dflt\}
643 CSRvect2 = \{type: F, key: a7, val: a7, elwidth: dflt\}
644 loop:
645 setvl t0, a0, 4 # vl = t0 = min(4, n)
646 ld a3, a1 # load 4 registers a3-6 from x
647 slli t1, t0, 3 # t1 = vl * 8 (in bytes)
648 ld a7, a2 # load 4 registers a7-10 from y
649 add a1, a1, t1 # increment pointer to x by vl*8
650 fmadd a7, a3, fa0, a7 # v1 += v0 * fa0 (y = a * x + y)
651 sub a0, a0, t0 # n -= vl (t0)
652 st a7, a2 # store 4 registers a7-10 to y
653 add a2, a2, t1 # increment pointer to y by vl*8
654 bnez a0, loop # repeat if n != 0
655 \end{semiverbatim}
656 \end{frame}
657
658
659 \frame{\frametitle{Under consideration}
660
661 \begin{itemize}
662 \item Is C.FNE actually needed? Should it be added if it is?
663 \item Element type implies polymorphism. Should it be in SV?
664 \item Should use of registers be allowed to "wrap" (x30 x31 x1 x2)?
665 \item Is detection of all-scalar ops ok (without slowing pipeline)?
666 \item Can VSELECT be removed? (it's really complex)
667 \item Can CLIP be done as a CSR (mode, like elwidth)
668 \item SIMD saturation (etc.) also set as a mode?
669 \item Include src1/src2 predication on Comparison Ops?\\
670 (same arrangement as C.MV, with same flexibility/power)
671 \item 8/16-bit ops is it worthwhile adding a "start offset"? \\
672 (a bit like misaligned addressing... for registers)\\
673 or just use predication to skip start?
674 \end{itemize}
675 }
676
677
678 \frame{\frametitle{What's the downside(s) of SV?}
679 \begin{itemize}
680 \item EVERY register operation is inherently parallelised\\
681 (scalar ops are just vectors of length 1)\vspace{4pt}
682 \item Tightly coupled with the core (instruction issue)\\
683 could be disabled through MISA switch\vspace{4pt}
684 \item An extra pipeline phase is pretty much essential\\
685 for fast low-latency implementations\vspace{4pt}
686 \item With zeroing off, skipping non-predicated elements is hard:\\
687 it is however an optimisation (and could be skipped).\vspace{4pt}
688 \item Setting up the Register/Predication tables (interpreting the\\
689 CSR key-value stores) might be a bit complex to optimise
690 (any change to a CSR key-value entry needs to redo the table)
691 \end{itemize}
692 }
693
694
695 \frame{\frametitle{Is this OK (low latency)? Detect scalar-ops (only)}
696 \begin{center}
697 \includegraphics[height=2.5in]{scalardetect.png}\\
698 {\bf \red Detect when all registers are scalar for a given op}
699 \end{center}
700 }
701
702
703 \frame{\frametitle{Summary}
704
705 \begin{itemize}
706 \item Actually about parallelism, not Vectors (or SIMD) per se\\
707 and NOT about adding new ALU/logic/functionality.
708 \item Only needs 2 actual instructions (plus the CSRs).\\
709 RVV - and "standard" SIMD - require ISA duplication
710 \item Designed for flexibility (graded levels of complexity)
711 \item Huge range of implementor freedom
712 \item Fits RISC-V ethos: achieve more with less
713 \item Reduces SIMD ISA proliferation by 3-4 orders of magnitude \\
714 (without SIMD downsides or sacrificing speed trade-off)
715 \item Covers 98\% of RVV, allows RVV to fit "on top"
716 \item Byproduct of SV is a reduction in code size, power usage
717 etc. (increase efficiency, just like Compressed)
718 \end{itemize}
719 }
720
721
722 \frame{
723 \begin{center}
724 {\Huge The end\vspace{20pt}\\
725 Thank you\vspace{20pt}\\
726 Questions?\vspace{20pt}
727 }
728 \end{center}
729
730 \begin{itemize}
731 \item Discussion: ISA-DEV mailing list
732 \item http://libre-riscv.org/simple\_v\_extension/
733 \end{itemize}
734 }
735
736
737 \end{document}