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[libreriscv.git] / openpower / sv / bitmanip.mdwn
1 [[!tag standards]]
2
3 [[!toc levels=1]]
4
5 # Implementation Log
6
7 * ternlogi <https://bugs.libre-soc.org/show_bug.cgi?id=745>
8 * grev <https://bugs.libre-soc.org/show_bug.cgi?id=755>
9 * GF2^M <https://bugs.libre-soc.org/show_bug.cgi?id=782>
10
11
12 # bitmanipulation
13
14 **DRAFT STATUS**
15
16 pseudocode: [[openpower/isa/bitmanip]]
17
18 this extension amalgamates bitmanipulation primitives from many sources,
19 including RISC-V bitmanip, Packed SIMD, AVX-512 and OpenPOWER VSX.
20 Also included are DSP/Multimedia operations suitable for Audio/Video.
21 Vectorisation and SIMD are removed: these are straight scalar (element)
22 operations making them suitable for embedded applications. Vectorisation
23 Context is provided by [[openpower/sv]].
24
25 When combined with SV, scalar variants of bitmanip operations found in
26 VSX are added so that the Packed SIMD aspects of VSX may be retired as
27 "legacy" in the far future (10 to 20 years). Also, VSX is hundreds of
28 opcodes, requires 128 bit pathways, and is wholly unsuited to low power
29 or embedded scenarios.
30
31 ternlogv is experimental and is the only operation that may be considered
32 a "Packed SIMD". It is added as a variant of the already well-justified
33 ternlog operation (done in AVX512 as an immediate only) "because it
34 looks fun". As it is based on the LUT4 concept it will allow accelerated
35 emulation of FPGAs. Other vendors of ISAs are buying FPGA companies to
36 achieve similar objectives.
37
38 general-purpose Galois Field 2^M operations are added so as to avoid
39 huge custom opcode proliferation across many areas of Computer Science.
40 however for convenience and also to avoid setup costs, some of the more
41 common operations (clmul, crc32) are also added. The expectation is
42 that these operations would all be covered by the same pipeline.
43
44 note that there are brownfield spaces below that could incorporate
45 some of the set-before-first and other scalar operations listed in
46 [[sv/vector_ops]], [[sv/int_fp_mv]] and the [[sv/av_opcodes]] as well as
47 [[sv/setvl]], [[sv/svstep]], [[sv/remap]]
48
49 Useful resource:
50
51 * <https://en.wikiversity.org/wiki/Reed%E2%80%93Solomon_codes_for_coders>
52 * <https://maths-people.anu.edu.au/~brent/pd/rpb232tr.pdf>
53
54 # summary
55
56 two major opcodes are needed
57
58 ternlog has its own major opcode
59
60 | 29.30 |31| name | Form |
61 | ------ |--| --------- | ---- |
62 | 0 0 |Rc| ternlogi | TLI-Form |
63 | 0 1 | | crternlogi | TLI-Form |
64 | 1 iv | | grevlogi | TLI-Form |
65
66 2nd major opcode for other bitmanip: minor opcode allocation
67
68 | 28.30 |31| name |
69 | ------ |--| --------- |
70 | -00 |0 | xpermi |
71 | -00 |1 | binary lut |
72 | -01 |0 | grevlog |
73 | -01 |1 | bmatxori |
74 | 010 |Rc| bitmask |
75 | 011 | | SVP64 |
76 | 110 |Rc| 1/2-op |
77 | 111 | | bmrevi |
78
79
80 1-op and variants
81
82 | dest | src1 | subop | op |
83 | ---- | ---- | ----- | -------- |
84 | RT | RA | .. | bmatflip |
85
86 2-op and variants
87
88 | dest | src1 | src2 | subop | op |
89 | ---- | ---- | ---- | ----- | -------- |
90 | RT | RA | RB | or | bmatflip |
91 | RT | RA | RB | xor | bmatflip |
92 | RT | RA | RB | | grev |
93 | RT | RA | RB | | clmul\* |
94 | RT | RA | RB | | gorc |
95 | RT | RA | RB | shuf | shuffle |
96 | RT | RA | RB | unshuf| shuffle |
97 | RT | RA | RB | width | xperm |
98 | RT | RA | RB | type | av minmax |
99 | RT | RA | RB | | av abs avgadd |
100 | RT | RA | RB | type | vmask ops |
101 | RT | RA | RB | type | abs accumulate (overwrite) |
102
103 3 ops
104
105 * grevlog[w]
106 * GF mul-add
107 * bitmask-reverse
108
109 TODO: convert all instructions to use RT and not RS
110
111 | 0.5|6.10|11.15|16.20 |21..25 | 26....30 |31| name | Form |
112 | -- | -- | --- | --- | ----- | -------- |--| ------ | -------- |
113 | NN | RT | RA |itype/| im0-4 | im5-7 00 |0 | xpermi | TLI-Form |
114 | NN | RT | RA | RB | RC | nh 00 00 |1 | binlut | VA-Form |
115 | NN | RT | RA | RB | /BFA/ | 0 01 00 |1 | bincrflut | VA-Form |
116 | NN | | | | | 1 01 00 |1 | rsvd | |
117 | NN | | | | | - 10 00 |1 | rsvd | |
118 | NN | | | | | 0 11 00 |1 | svshape | SVM-Form |
119 | NN | | | | | 1 11 00 |1 | svremap | SVRM-Form |
120 | NN | RT | RA | RB | im0-4 | im5-7 01 |0 | grevlog | TLI-Form |
121 | NN | RT | RA | RB | im0-4 | im5-7 01 |1 | grevlogw | TLI-Form |
122 | NN | RT | RA | RB | RC | mode 010 |Rc| bitmask\* | VA2-Form |
123 | NN |FRS | d1 | d0 | d0 | 00 011 |d2| fmvis | DX-Form |
124 | NN |FRS | d1 | d0 | d0 | 01 011 |d2| fishmv | DX-Form |
125 | NN | | | | | 10 011 |Rc| svstep | SVL-Form |
126 | NN | | | | | 11 011 |Rc| setvl | SVL-Form |
127 | NN | | | | | ---- 110 | | 1/2 ops | other table [1] |
128 | NN | RT | RA | RB | RC | 11 110 |Rc| bmrev | VA2-Form |
129 | NN | RT | RA | RB | sh0-4 | sh5 1 111 |Rc| bmrevi | MDS-Form |
130
131 [1] except bmrev
132
133 ops (note that av avg and abs as well as vec scalar mask
134 are included here [[sv/vector_ops]], and
135 the [[sv/av_opcodes]])
136
137 | 0.5|6.10|11.15|16.20| 21 | 22.23 | 24....30 |31| name | Form |
138 | -- | -- | --- | --- | -- | ----- | -------- |--| ---- | ------- |
139 | NN | RS | me | sh | SH | ME 0 | nn00 110 |Rc| bmopsi | BM-Form |
140 | NN | RS | RA | sh | SH | 0 1 | nn00 110 |Rc| bmopsi | XB-Form |
141 | NN | RS | RA |im04 | im5| 1 1 | im67 00 110 |Rc| bmatxori | TODO |
142 | NN | RT | RA | RB | 1 | 00 | 0001 110 |Rc| cldiv | X-Form |
143 | NN | RT | RA | RB | 1 | 01 | 0001 110 |Rc| clmod | X-Form |
144 | NN | RT | RA | | 1 | 10 | 0001 110 |Rc| clmulh | X-Form |
145 | NN | RT | RA | RB | 1 | 11 | 0001 110 |Rc| clmul | X-Form |
146 | NN | RT | RA | RB | 0 | 00 | 0001 110 |Rc| vec sbfm | X-Form |
147 | NN | RT | RA | RB | 0 | 01 | 0001 110 |Rc| vec sofm | X-Form |
148 | NN | RT | RA | RB | 0 | 10 | 0001 110 |Rc| vec sifm | X-Form |
149 | NN | RT | RA | RB | 0 | 11 | 0001 110 |Rc| vec cprop | X-Form |
150 | NN | | | | | -0 | 0101 110 |Rc| crfbinlog | {TODO} |
151 | NN | | | | | -1 | 0101 110 |Rc| rsvd | |
152 | NN | RT | RA | RB | 0 | itype | 1001 110 |Rc| av minmax | X-Form |
153 | NN | RT | RA | RB | 1 | 00 | 1001 110 |Rc| av abss | X-Form |
154 | NN | RT | RA | RB | 1 | 01 | 1001 110 |Rc| av absu | X-Form |
155 | NN | RT | RA | RB | 1 | 10 | 1001 110 |Rc| av avgadd | X-Form |
156 | NN | RT | RA | RB | 1 | 11 | 1001 110 |Rc| grevlutr | X-Form |
157 | NN | RT | RA | RB | 0 | itype | 1101 110 |Rc| shadd | X-Form |
158 | NN | RT | RA | RB | 1 | itype | 1101 110 |Rc| shadduw | X-Form |
159 | NN | RT | RA | RB | 0 | 00 | 0010 110 |Rc| gorc | X-Form |
160 | NN | RS | RA | sh | SH | 00 | 1010 110 |Rc| gorci | XB-Form |
161 | NN | RT | RA | RB | 0 | 00 | 0110 110 |Rc| gorcw | X-Form |
162 | NN | RS | RA | SH | 0 | 00 | 1110 110 |Rc| gorcwi | X-Form |
163 | NN | RT | RA | RB | 1 | 00 | 1110 110 |Rc| rsvd | |
164 | NN | RT | RA | RB | 0 | 01 | 0010 110 |Rc| grev | X-Form |
165 | NN | RT | RA | RB | 1 | 01 | 0010 110 |Rc| clmulr | X-Form |
166 | NN | RS | RA | sh | SH | 01 | 1010 110 |Rc| grevi | XB-Form |
167 | NN | RT | RA | RB | 0 | 01 | 0110 110 |Rc| grevw | X-Form |
168 | NN | RS | RA | SH | 0 | 01 | 1110 110 |Rc| grevwi | X-Form |
169 | NN | RT | RA | RB | 1 | 01 | 1110 110 |Rc| rsvd | |
170 | NN | RS | RA | RB | 0 | 10 | 0010 110 |Rc| bmator | X-Form |
171 | NN | RS | RA | RB | 0 | 10 | 0110 110 |Rc| bmatand | X-Form |
172 | NN | RS | RA | RB | 0 | 10 | 1010 110 |Rc| bmatxor | X-Form |
173 | NN | RS | RA | RB | 0 | 10 | 1110 110 |Rc| bmatflip | X-Form |
174 | NN | RT | RA | RB | 1 | 10 | 0010 110 |Rc| xpermn | X-Form |
175 | NN | RT | RA | RB | 1 | 10 | 0110 110 |Rc| xpermb | X-Form |
176 | NN | RT | RA | RB | 1 | 10 | 1010 110 |Rc| xpermh | X-Form |
177 | NN | RT | RA | RB | 1 | 10 | 1110 110 |Rc| xpermw | X-Form |
178 | NN | RT | RA | RB | 0 | 11 | 1110 110 |Rc| abssa | X-Form |
179 | NN | RT | RA | RB | 1 | 11 | 1110 110 |Rc| absua | X-Form |
180 | NN | | | | | | --11 110 |Rc| bmrev | VA2-Form |
181
182 # binary and ternary bitops
183
184 Similar to FPGA LUTs: for two (binary) or three (ternary) inputs take
185 bits from each input, concatenate them and perform a lookup into a
186 table using an 8-8-bit immediate (for the ternary instructions), or in
187 another register (4-bit for the binary instructions). The binary lookup
188 instructions have CR Field lookup variants due to CR Fields being 4 bit.
189
190 Like the x86 AVX512F
191 [vpternlogd/vpternlogq](https://www.felixcloutier.com/x86/vpternlogd:vpternlogq)
192 instructions.
193
194 ## ternlogi
195
196 | 0.5|6.10|11.15|16.20| 21..28|29.30|31|
197 | -- | -- | --- | --- | ----- | --- |--|
198 | NN | RT | RA | RB | im0-7 | 00 |Rc|
199
200 lut3(imm, a, b, c):
201 idx = c << 2 | b << 1 | a
202 return imm[idx] # idx by LSB0 order
203
204 for i in range(64):
205 RT[i] = lut3(imm, RB[i], RA[i], RT[i])
206
207 ## binlut
208
209 Binary lookup is a dynamic LUT2 version of ternlogi. Firstly, the
210 lookup table is 4 bits wide not 8 bits, and secondly the lookup
211 table comes from a register not an immediate.
212
213 | 0.5|6.10|11.15|16.20| 21..25|26..31 | Form |
214 | -- | -- | --- | --- | ----- |--------|---------|
215 | NN | RT | RA | RB | RC |nh 00001| VA-Form |
216 | NN | RT | RA | RB | /BFA/ |0 01001| VA-Form |
217
218 For binlut, the 4-bit LUT may be selected from either the high nibble
219 or the low nibble of the first byte of RC:
220
221 lut2(imm, a, b):
222 idx = b << 1 | a
223 return imm[idx] # idx by LSB0 order
224
225 imm = (RC>>(nh*4))&0b1111
226 for i in range(64):
227 RT[i] = lut2(imm, RB[i], RA[i])
228
229 For bincrlut, `BFA` selects the 4-bit CR Field as the LUT2:
230
231 for i in range(64):
232 RT[i] = lut2(CRs{BFA}, RB[i], RA[i])
233
234 When Vectorised with SVP64, as usual both source and destination may be
235 Vector or Scalar.
236
237 *Programmer's note: a dynamic ternary lookup may be synthesised from
238 a pair of `binlut` instructions followed by a `ternlogi` to select which
239 to merge. Use `nh` to select which nibble to use as the lookup table
240 from the RC source register (`nh=1` nibble high), i.e. keeping
241 an 8-bit LUT3 in RC, the first `binlut` instruction may set nh=0 and
242 the second nh=1.*
243
244 ## crternlogi
245
246 another mode selection would be CRs not Ints.
247
248 | 0.5|6.8 | 9.11|12.14|15.17|18.20|21.28 | 29.30|31|
249 | -- | -- | --- | --- | --- |-----|----- | -----|--|
250 | NN | BT | BA | BB | BC |m0-2 | imm | 01 |m3|
251
252 mask = m0-3,m4
253 for i in range(4):
254 a,b,c = CRs[BA][i], CRs[BB][i], CRs[BC][i])
255 if mask[i] CRs[BT][i] = lut3(imm, a, b, c)
256
257 This instruction is remarkably similar to the existing crops, `crand` etc.
258 which have been noted to be a 4-bit (binary) LUT. In effect `crternlogi`
259 is the ternary LUT version of crops, having an 8-bit LUT.
260
261 ## crbinlog
262
263 With ternary (LUT3) dynamic instructions being very costly,
264 and CR Fields being only 4 bit, a binary (LUT2) variant is better
265
266 | 0.5|6.8 | 9.11|12.14|15.17|18.22|23...30 |31|
267 | -- | -- | --- | --- | --- |-----| --------|--|
268 | NN | BT | BA | BB | BC |m0-m2|00101110 |m3|
269
270 mask = m0-3,m4
271 for i in range(4):
272 a,b = CRs[BA][i], CRs[BB][i])
273 if mask[i] CRs[BT][i] = lut2(CRs[BC], a, b)
274
275 When SVP64 Vectorised any of the 4 operands may be Scalar or
276 Vector, including `BC` meaning that multiple different dynamic
277 lookups may be performed with a single instruction.
278
279 *Programmer's note: just as with binlut and ternlogi, a pair
280 of crbinlog instructions followed by a merging crternlogi may
281 be deployed to synthesise dynamic ternary (LUT3) CR Field
282 manipulation*
283
284 # int ops
285
286 ## min/m
287
288 required for the [[sv/av_opcodes]]
289
290 signed and unsigned min/max for integer. this is sort-of partly
291 synthesiseable in [[sv/svp64]] with pred-result as long as the dest reg
292 is one of the sources, but not both signed and unsigned. when the dest
293 is also one of the srces and the mv fails due to the CR bittest failing
294 this will only overwrite the dest where the src is greater (or less).
295
296 signed/unsigned min/max gives more flexibility.
297
298 ```
299 uint_xlen_t min(uint_xlen_t rs1, uint_xlen_t rs2)
300 { return (int_xlen_t)rs1 < (int_xlen_t)rs2 ? rs1 : rs2;
301 }
302 uint_xlen_t max(uint_xlen_t rs1, uint_xlen_t rs2)
303 { return (int_xlen_t)rs1 > (int_xlen_t)rs2 ? rs1 : rs2;
304 }
305 uint_xlen_t minu(uint_xlen_t rs1, uint_xlen_t rs2)
306 { return rs1 < rs2 ? rs1 : rs2;
307 }
308 uint_xlen_t maxu(uint_xlen_t rs1, uint_xlen_t rs2)
309 { return rs1 > rs2 ? rs1 : rs2;
310 }
311 ```
312
313 ## average
314
315 required for the [[sv/av_opcodes]], these exist in Packed SIMD (VSX)
316 but not scalar
317
318 ```
319 uint_xlen_t intavg(uint_xlen_t rs1, uint_xlen_t rs2) {
320 return (rs1 + rs2 + 1) >> 1:
321 }
322 ```
323
324 ## abs
325
326 required for the [[sv/av_opcodes]], these exist in Packed SIMD (VSX)
327 but not scalar
328
329 ```
330 uint_xlen_t intabs(uint_xlen_t rs1, uint_xlen_t rs2) {
331 return (src1 > src2) ? (src1-src2) : (src2-src1)
332 }
333 ```
334
335 ## abs-accumulate
336
337 required for the [[sv/av_opcodes]], these are needed for motion estimation.
338 both are overwrite on RS.
339
340 ```
341 uint_xlen_t uintabsacc(uint_xlen_t rs, uint_xlen_t ra, uint_xlen_t rb) {
342 return rs + (src1 > src2) ? (src1-src2) : (src2-src1)
343 }
344 uint_xlen_t intabsacc(uint_xlen_t rs, int_xlen_t ra, int_xlen_t rb) {
345 return rs + (src1 > src2) ? (src1-src2) : (src2-src1)
346 }
347 ```
348
349 For SVP64, the twin Elwidths allows e.g. a 16 bit accumulator for 8 bit
350 differences. Form is `RM-1P-3S1D` where RS-as-source has a separate
351 SVP64 designation from RS-as-dest. This gives a limited range of
352 non-overwrite capability.
353
354 # shift-and-add
355
356 Power ISA is missing LD/ST with shift, which is present in both ARM and x86.
357 Too complex to add more LD/ST, a compromise is to add shift-and-add.
358 Replaces a pair of explicit instructions in hot-loops.
359
360 ```
361 uint_xlen_t shadd(uint_xlen_t rs1, uint_xlen_t rs2, uint8_t sh) {
362 return (rs1 << (sh+1)) + rs2;
363 }
364
365 uint_xlen_t shadduw(uint_xlen_t rs1, uint_xlen_t rs2, uint8_t sh) {
366 uint_xlen_t rs1z = rs1 & 0xFFFFFFFF;
367 return (rs1z << (sh+1)) + rs2;
368 }
369 ```
370
371 # bitmask set
372
373 based on RV bitmanip singlebit set, instruction format similar to shift
374 [[isa/fixedshift]]. bmext is actually covered already (shift-with-mask
375 rldicl but only immediate version). however bitmask-invert is not,
376 and set/clr are not covered, although they can use the same Shift ALU.
377
378 bmext (RB) version is not the same as rldicl because bmext is a right
379 shift by RC, where rldicl is a left rotate. for the immediate version
380 this does not matter, so a bmexti is not required. bmrev however there
381 is no direct equivalent and consequently a bmrevi is required.
382
383 bmset (register for mask amount) is particularly useful for creating
384 predicate masks where the length is a dynamic runtime quantity.
385 bmset(RA=0, RB=0, RC=mask) will produce a run of ones of length "mask"
386 in a single instruction without needing to initialise or depend on any
387 other registers.
388
389 | 0.5|6.10|11.15|16.20|21.25| 26..30 |31| name |
390 | -- | -- | --- | --- | --- | ------- |--| ----- |
391 | NN | RS | RA | RB | RC | mode 010 |Rc| bm\* |
392
393 Immediate-variant is an overwrite form:
394
395 | 0.5|6.10|11.15|16.20| 21 | 22.23 | 24....30 |31| name |
396 | -- | -- | --- | --- | -- | ----- | -------- |--| ---- |
397 | NN | RS | RB | sh | SH | itype | 1000 110 |Rc| bm\*i |
398
399 ```
400 def MASK(x, y):
401 if x < y:
402 x = x+1
403 mask_a = ((1 << x) - 1) & ((1 << 64) - 1)
404 mask_b = ((1 << y) - 1) & ((1 << 64) - 1)
405 elif x == y:
406 return 1 << x
407 else:
408 x = x+1
409 mask_a = ((1 << x) - 1) & ((1 << 64) - 1)
410 mask_b = (~((1 << y) - 1)) & ((1 << 64) - 1)
411 return mask_a ^ mask_b
412
413
414 uint_xlen_t bmset(RS, RB, sh)
415 {
416 int shamt = RB & (XLEN - 1);
417 mask = (2<<sh)-1;
418 return RS | (mask << shamt);
419 }
420
421 uint_xlen_t bmclr(RS, RB, sh)
422 {
423 int shamt = RB & (XLEN - 1);
424 mask = (2<<sh)-1;
425 return RS & ~(mask << shamt);
426 }
427
428 uint_xlen_t bminv(RS, RB, sh)
429 {
430 int shamt = RB & (XLEN - 1);
431 mask = (2<<sh)-1;
432 return RS ^ (mask << shamt);
433 }
434
435 uint_xlen_t bmext(RS, RB, sh)
436 {
437 int shamt = RB & (XLEN - 1);
438 mask = (2<<sh)-1;
439 return mask & (RS >> shamt);
440 }
441 ```
442
443 bitmask extract with reverse. can be done by bit-order-inverting all
444 of RB and getting bits of RB from the opposite end.
445
446 when RA is zero, no shift occurs. this makes bmextrev useful for
447 simply reversing all bits of a register.
448
449 ```
450 msb = ra[5:0];
451 rev[0:msb] = rb[msb:0];
452 rt = ZE(rev[msb:0]);
453
454 uint_xlen_t bmrevi(RA, RB, sh)
455 {
456 int shamt = XLEN-1;
457 if (RA != 0) shamt = (GPR(RA) & (XLEN - 1));
458 shamt = (XLEN-1)-shamt; # shift other end
459 brb = bitreverse(GPR(RB)) # swap LSB-MSB
460 mask = (2<<sh)-1;
461 return mask & (brb >> shamt);
462 }
463
464 uint_xlen_t bmrev(RA, RB, RC) {
465 return bmrevi(RA, RB, GPR(RC) & 0b111111);
466 }
467 ```
468
469 | 0.5|6.10|11.15|16.20|21.26| 27..30 |31| name | Form |
470 | -- | -- | --- | --- | --- | ------- |--| ------ | -------- |
471 | NN | RT | RA | RB | sh | 1111 |Rc| bmrevi | MDS-Form |
472
473 | 0.5|6.10|11.15|16.20|21.25| 26..30 |31| name | Form |
474 | -- | -- | --- | --- | --- | ------- |--| ------ | -------- |
475 | NN | RT | RA | RB | RC | 11110 |Rc| bmrev | VA2-Form |
476
477 # grevlut <a name="grevlut"> </a>
478
479 ([3x lower latency alternative](grev_gorc_design/) which is
480 not equivalent and has limited constant-generation capability)
481
482 generalised reverse combined with a pair of LUT2s and allowing
483 a constant `0b0101...0101` when RA=0, and an option to invert
484 (including when RA=0, giving a constant 0b1010...1010 as the
485 initial value) provides a wide range of instructions
486 and a means to set hundreds of regular 64 bit patterns with one
487 single 32 bit instruction.
488
489 the two LUT2s are applied left-half (when not swapping)
490 and right-half (when swapping) so as to allow a wider
491 range of options.
492
493 <img src="/openpower/sv/grevlut2x2.jpg" width=700 />
494
495 * A value of `0b11001010` for the immediate provides
496 the functionality of a standard "grev".
497 * `0b11101110` provides gorc
498
499 grevlut should be arranged so as to produce the constants
500 needed to put into bext (bitextract) so as in turn to
501 be able to emulate x86 pmovmask instructions
502 <https://www.felixcloutier.com/x86/pmovmskb>.
503 This only requires 2 instructions (grevlut, bext).
504
505 Note that if the mask is required to be placed
506 directly into CR Fields (for use as CR Predicate
507 masks rather than a integer mask) then sv.cmpi or sv.ori
508 may be used instead, bearing in mind that sv.ori
509 is a 64-bit instruction, and `VL` must have been
510 set to the required length:
511
512 sv.ori./elwid=8 r10.v, r10.v, 0
513
514 The following settings provide the required mask constants:
515
516 | RA=0 | RB | imm | iv | result |
517 | ------- | ------- | ---------- | -- | ---------- |
518 | 0x555.. | 0b10 | 0b01101100 | 0 | 0x111111... |
519 | 0x555.. | 0b110 | 0b01101100 | 0 | 0x010101... |
520 | 0x555.. | 0b1110 | 0b01101100 | 0 | 0x00010001... |
521 | 0x555.. | 0b10 | 0b11000110 | 1 | 0x88888... |
522 | 0x555.. | 0b110 | 0b11000110 | 1 | 0x808080... |
523 | 0x555.. | 0b1110 | 0b11000110 | 1 | 0x80008000... |
524
525 Better diagram showing the correct ordering of shamt (RB). A LUT2
526 is applied to all locations marked in red using the first 4
527 bits of the immediate, and a separate LUT2 applied to all
528 locations in green using the upper 4 bits of the immediate.
529
530 <img src="/openpower/sv/grevlut.png" width=700 />
531
532 demo code [[openpower/sv/grevlut.py]]
533
534 ```
535 lut2(imm, a, b):
536 idx = b << 1 | a
537 return imm[idx] # idx by LSB0 order
538
539 dorow(imm8, step_i, chunksize, us32b):
540 for j in 0 to 31 if is32b else 63:
541 if (j&chunk_size) == 0
542 imm = imm8[0..3]
543 else
544 imm = imm8[4..7]
545 step_o[j] = lut2(imm, step_i[j], step_i[j ^ chunk_size])
546 return step_o
547
548 uint64_t grevlut(uint64_t RA, uint64_t RB, uint8 imm, bool iv, bool is32b)
549 {
550 uint64_t x = 0x5555_5555_5555_5555;
551 if (RA != 0) x = GPR(RA);
552 if (iv) x = ~x;
553 int shamt = RB & 31 if is32b else 63
554 for i in 0 to (6-is32b)
555 step = 1<<i
556 if (shamt & step) x = dorow(imm, x, step, is32b)
557 return x;
558 }
559 ```
560
561 A variant may specify different LUT-pairs per row,
562 using one byte of RB for each. If it is desired that
563 a particular row-crossover shall not be applied it is
564 a simple matter to set the appropriate LUT-pair in RB
565 to effect an identity transform for that row (`0b11001010`).
566
567 ```
568 uint64_t grevlutr(uint64_t RA, uint64_t RB, bool iv, bool is32b)
569 {
570 uint64_t x = 0x5555_5555_5555_5555;
571 if (RA != 0) x = GPR(RA);
572 if (iv) x = ~x;
573 for i in 0 to (6-is32b)
574 step = 1<<i
575 imm = (RB>>(i*8))&0xff
576 x = dorow(imm, x, step, is32b)
577 return x;
578 }
579
580 ```
581
582 | 0.5|6.10|11.15|16.20 |21..28 | 29.30|31| name | Form |
583 | -- | -- | --- | --- | ----- | -----|--| ------ | ----- |
584 | NN | RT | RA | s0-4 | im0-7 | 1 iv |s5| grevlogi | |
585 | NN | RT | RA | RB | im0-7 | 01 |0 | grevlog | |
586 | NN | RT | RA | RB | im0-7 | 01 |1 | grevlogw | |
587
588 # grev
589
590 superceded by grevlut
591
592 based on RV bitmanip, this is also known as a butterfly network. however
593 where a butterfly network allows setting of every crossbar setting in
594 every row and every column, generalised-reverse (grev) only allows
595 a per-row decision: every entry in the same row must either switch or
596 not-switch.
597
598 <img src="https://upload.wikimedia.org/wikipedia/commons/thumb/8/8c/Butterfly_Network.jpg/474px-Butterfly_Network.jpg" />
599
600 ```
601 uint64_t grev64(uint64_t RA, uint64_t RB)
602 {
603 uint64_t x = RA;
604 int shamt = RB & 63;
605 if (shamt & 1) x = ((x & 0x5555555555555555LL) << 1) |
606 ((x & 0xAAAAAAAAAAAAAAAALL) >> 1);
607 if (shamt & 2) x = ((x & 0x3333333333333333LL) << 2) |
608 ((x & 0xCCCCCCCCCCCCCCCCLL) >> 2);
609 if (shamt & 4) x = ((x & 0x0F0F0F0F0F0F0F0FLL) << 4) |
610 ((x & 0xF0F0F0F0F0F0F0F0LL) >> 4);
611 if (shamt & 8) x = ((x & 0x00FF00FF00FF00FFLL) << 8) |
612 ((x & 0xFF00FF00FF00FF00LL) >> 8);
613 if (shamt & 16) x = ((x & 0x0000FFFF0000FFFFLL) << 16) |
614 ((x & 0xFFFF0000FFFF0000LL) >> 16);
615 if (shamt & 32) x = ((x & 0x00000000FFFFFFFFLL) << 32) |
616 ((x & 0xFFFFFFFF00000000LL) >> 32);
617 return x;
618 }
619
620 ```
621
622 # gorc
623
624 based on RV bitmanip, gorc is superceded by grevlut
625
626 ```
627 uint32_t gorc32(uint32_t RA, uint32_t RB)
628 {
629 uint32_t x = RA;
630 int shamt = RB & 31;
631 if (shamt & 1) x |= ((x & 0x55555555) << 1) | ((x & 0xAAAAAAAA) >> 1);
632 if (shamt & 2) x |= ((x & 0x33333333) << 2) | ((x & 0xCCCCCCCC) >> 2);
633 if (shamt & 4) x |= ((x & 0x0F0F0F0F) << 4) | ((x & 0xF0F0F0F0) >> 4);
634 if (shamt & 8) x |= ((x & 0x00FF00FF) << 8) | ((x & 0xFF00FF00) >> 8);
635 if (shamt & 16) x |= ((x & 0x0000FFFF) << 16) | ((x & 0xFFFF0000) >> 16);
636 return x;
637 }
638 uint64_t gorc64(uint64_t RA, uint64_t RB)
639 {
640 uint64_t x = RA;
641 int shamt = RB & 63;
642 if (shamt & 1) x |= ((x & 0x5555555555555555LL) << 1) |
643 ((x & 0xAAAAAAAAAAAAAAAALL) >> 1);
644 if (shamt & 2) x |= ((x & 0x3333333333333333LL) << 2) |
645 ((x & 0xCCCCCCCCCCCCCCCCLL) >> 2);
646 if (shamt & 4) x |= ((x & 0x0F0F0F0F0F0F0F0FLL) << 4) |
647 ((x & 0xF0F0F0F0F0F0F0F0LL) >> 4);
648 if (shamt & 8) x |= ((x & 0x00FF00FF00FF00FFLL) << 8) |
649 ((x & 0xFF00FF00FF00FF00LL) >> 8);
650 if (shamt & 16) x |= ((x & 0x0000FFFF0000FFFFLL) << 16) |
651 ((x & 0xFFFF0000FFFF0000LL) >> 16);
652 if (shamt & 32) x |= ((x & 0x00000000FFFFFFFFLL) << 32) |
653 ((x & 0xFFFFFFFF00000000LL) >> 32);
654 return x;
655 }
656
657 ```
658
659 # xperm
660
661 based on RV bitmanip.
662
663 RA contains a vector of indices to select parts of RB to be
664 copied to RT. The immediate-variant allows up to an 8 bit
665 pattern (repeated) to be targetted at different parts of RT.
666
667 xperm shares some similarity with one of the uses of bmator
668 in that xperm indices are binary addressing where bitmator
669 may be considered to be unary addressing.
670
671 ```
672 uint_xlen_t xpermi(uint8_t imm8, uint_xlen_t RB, int sz_log2)
673 {
674 uint_xlen_t r = 0;
675 uint_xlen_t sz = 1LL << sz_log2;
676 uint_xlen_t mask = (1LL << sz) - 1;
677 uint_xlen_t RA = imm8 | imm8<<8 | ... | imm8<<56;
678 for (int i = 0; i < XLEN; i += sz) {
679 uint_xlen_t pos = ((RA >> i) & mask) << sz_log2;
680 if (pos < XLEN)
681 r |= ((RB >> pos) & mask) << i;
682 }
683 return r;
684 }
685 uint_xlen_t xperm(uint_xlen_t RA, uint_xlen_t RB, int sz_log2)
686 {
687 uint_xlen_t r = 0;
688 uint_xlen_t sz = 1LL << sz_log2;
689 uint_xlen_t mask = (1LL << sz) - 1;
690 for (int i = 0; i < XLEN; i += sz) {
691 uint_xlen_t pos = ((RA >> i) & mask) << sz_log2;
692 if (pos < XLEN)
693 r |= ((RB >> pos) & mask) << i;
694 }
695 return r;
696 }
697 uint_xlen_t xperm_n (uint_xlen_t RA, uint_xlen_t RB)
698 { return xperm(RA, RB, 2); }
699 uint_xlen_t xperm_b (uint_xlen_t RA, uint_xlen_t RB)
700 { return xperm(RA, RB, 3); }
701 uint_xlen_t xperm_h (uint_xlen_t RA, uint_xlen_t RB)
702 { return xperm(RA, RB, 4); }
703 uint_xlen_t xperm_w (uint_xlen_t RA, uint_xlen_t RB)
704 { return xperm(RA, RB, 5); }
705 ```
706
707 # bitmatrix
708
709 bmatflip and bmatxor is found in the Cray XMT, and in x86 is known
710 as GF2P8AFFINEQB. uses:
711
712 * <https://gist.github.com/animetosho/d3ca95da2131b5813e16b5bb1b137ca0>
713 * SM4, Reed Solomon, RAID6
714 <https://stackoverflow.com/questions/59124720/what-are-the-avx-512-galois-field-related-instructions-for>
715 * Vector bit-reverse <https://reviews.llvm.org/D91515?id=305411>
716 * Affine Inverse <https://github.com/HJLebbink/asm-dude/wiki/GF2P8AFFINEINVQB>
717
718 | 0.5|6.10|11.15|16.20 |21..28 | 29.30|31| name | Form |
719 | -- | -- | --- | --- | ----- | -----|--| ------ | ----- |
720 | NN | RT | RA | RB | im0-7 | 01 |1 | bmatxori | |
721
722 | 0.5|6.10|11.15|16.20| 21 | 22.23 | 24....30 |31| name | Form |
723 | -- | -- | --- | --- | -- | ----- | -------- |--| ---- | ------- |
724 | NN | RS | RA |im04 | im5| 1 1 | im67 00 110 |Rc| bmatxori | TODO |
725
726
727 ```
728 uint64_t bmatflip(uint64_t RA)
729 {
730 uint64_t x = RA;
731 x = shfl64(x, 31);
732 x = shfl64(x, 31);
733 x = shfl64(x, 31);
734 return x;
735 }
736
737 uint64_t bmatxori(uint64_t RS, uint64_t RA, uint8_t imm) {
738 // transpose of RA
739 uint64_t RAt = bmatflip(RA);
740 uint8_t u[8]; // rows of RS
741 uint8_t v[8]; // cols of RA
742 for (int i = 0; i < 8; i++) {
743 u[i] = RS >> (i*8);
744 v[i] = RAt >> (i*8);
745 }
746 uint64_t bit, x = 0;
747 for (int i = 0; i < 64; i++) {
748 bit = (imm >> (i%8)) & 1;
749 bit ^= pcnt(u[i / 8] & v[i % 8]) & 1;
750 x |= bit << i;
751 }
752 return x;
753 }
754
755 uint64_t bmatxor(uint64_t RA, uint64_t RB) {
756 return bmatxori(RA, RB, 0xff)
757 }
758
759 uint64_t bmator(uint64_t RA, uint64_t RB) {
760 // transpose of RB
761 uint64_t RBt = bmatflip(RB);
762 uint8_t u[8]; // rows of RA
763 uint8_t v[8]; // cols of RB
764 for (int i = 0; i < 8; i++) {
765 u[i] = RA >> (i*8);
766 v[i] = RBt >> (i*8);
767 }
768 uint64_t x = 0;
769 for (int i = 0; i < 64; i++) {
770 if ((u[i / 8] & v[i % 8]) != 0)
771 x |= 1LL << i;
772 }
773 return x;
774 }
775
776 uint64_t bmatand(uint64_t RA, uint64_t RB) {
777 // transpose of RB
778 uint64_t RBt = bmatflip(RB);
779 uint8_t u[8]; // rows of RA
780 uint8_t v[8]; // cols of RB
781 for (int i = 0; i < 8; i++) {
782 u[i] = RA >> (i*8);
783 v[i] = RBt >> (i*8);
784 }
785 uint64_t x = 0;
786 for (int i = 0; i < 64; i++) {
787 if ((u[i / 8] & v[i % 8]) == 0xff)
788 x |= 1LL << i;
789 }
790 return x;
791 }
792 ```
793
794 # Introduction to Carry-less and GF arithmetic
795
796 * obligatory xkcd <https://xkcd.com/2595/>
797
798 There are three completely separate types of Galois-Field-based arithmetic
799 that we implement which are not well explained even in introductory
800 literature. A slightly oversimplified explanation is followed by more
801 accurate descriptions:
802
803 * `GF(2)` carry-less binary arithmetic. this is not actually a Galois Field,
804 but is accidentally referred to as GF(2) - see below as to why.
805 * `GF(p)` modulo arithmetic with a Prime number, these are "proper"
806 Galois Fields
807 * `GF(2^N)` carry-less binary arithmetic with two limits: modulo a power-of-2
808 (2^N) and a second "reducing" polynomial (similar to a prime number), these
809 are said to be GF(2^N) arithmetic.
810
811 further detailed and more precise explanations are provided below
812
813 * **Polynomials with coefficients in `GF(2)`**
814 (aka. Carry-less arithmetic -- the `cl*` instructions).
815 This isn't actually a Galois Field, but its coefficients are. This is
816 basically binary integer addition, subtraction, and multiplication like
817 usual, except that carries aren't propagated at all, effectively turning
818 both addition and subtraction into the bitwise xor operation. Division and
819 remainder are defined to match how addition and multiplication works.
820 * **Galois Fields with a prime size**
821 (aka. `GF(p)` or Prime Galois Fields -- the `gfp*` instructions).
822 This is basically just the integers mod `p`.
823 * **Galois Fields with a power-of-a-prime size**
824 (aka. `GF(p^n)` or `GF(q)` where `q == p^n` for prime `p` and
825 integer `n > 0`).
826 We only implement these for `p == 2`, called Binary Galois Fields
827 (`GF(2^n)` -- the `gfb*` instructions).
828 For any prime `p`, `GF(p^n)` is implemented as polynomials with
829 coefficients in `GF(p)` and degree `< n`, where the polynomials are the
830 remainders of dividing by a specificly chosen polynomial in `GF(p)` called
831 the Reducing Polynomial (we will denote that by `red_poly`). The Reducing
832 Polynomial must be an irreducable polynomial (like primes, but for
833 polynomials), as well as have degree `n`. All `GF(p^n)` for the same `p`
834 and `n` are isomorphic to each other -- the choice of `red_poly` doesn't
835 affect `GF(p^n)`'s mathematical shape, all that changes is the specific
836 polynomials used to implement `GF(p^n)`.
837
838 Many implementations and much of the literature do not make a clear
839 distinction between these three categories, which makes it confusing
840 to understand what their purpose and value is.
841
842 * carry-less multiply is extremely common and is used for the ubiquitous
843 CRC32 algorithm. [TODO add many others, helps justify to ISA WG]
844 * GF(2^N) forms the basis of Rijndael (the current AES standard) and
845 has significant uses throughout cryptography
846 * GF(p) is the basis again of a significant quantity of algorithms
847 (TODO, list them, jacob knows what they are), even though the
848 modulo is limited to be below 64-bit (size of a scalar int)
849
850 # Instructions for Carry-less Operations
851
852 aka. Polynomials with coefficients in `GF(2)`
853
854 Carry-less addition/subtraction is simply XOR, so a `cladd`
855 instruction is not provided since the `xor[i]` instruction can be used instead.
856
857 These are operations on polynomials with coefficients in `GF(2)`, with the
858 polynomial's coefficients packed into integers with the following algorithm:
859
860 ```python
861 [[!inline pagenames="gf_reference/pack_poly.py" raw="yes"]]
862 ```
863
864 ## Carry-less Multiply Instructions
865
866 based on RV bitmanip
867 see <https://en.wikipedia.org/wiki/CLMUL_instruction_set> and
868 <https://www.felixcloutier.com/x86/pclmulqdq> and
869 <https://en.m.wikipedia.org/wiki/Carry-less_product>
870
871 They are worth adding as their own non-overwrite operations
872 (in the same pipeline).
873
874 ### `clmul` Carry-less Multiply
875
876 ```python
877 [[!inline pagenames="gf_reference/clmul.py" raw="yes"]]
878 ```
879
880 ### `clmulh` Carry-less Multiply High
881
882 ```python
883 [[!inline pagenames="gf_reference/clmulh.py" raw="yes"]]
884 ```
885
886 ### `clmulr` Carry-less Multiply (Reversed)
887
888 Useful for CRCs. Equivalent to bit-reversing the result of `clmul` on
889 bit-reversed inputs.
890
891 ```python
892 [[!inline pagenames="gf_reference/clmulr.py" raw="yes"]]
893 ```
894
895 ## `clmadd` Carry-less Multiply-Add
896
897 ```
898 clmadd RT, RA, RB, RC
899 ```
900
901 ```
902 (RT) = clmul((RA), (RB)) ^ (RC)
903 ```
904
905 ## `cltmadd` Twin Carry-less Multiply-Add (for FFTs)
906
907 Used in combination with SV FFT REMAP to perform a full Discrete Fourier
908 Transform of Polynomials over GF(2) in-place. Possible by having 3-in 2-out,
909 to avoid the need for a temp register. RS is written to as well as RT.
910
911 Note: Polynomials over GF(2) are a Ring rather than a Field, so, because the
912 definition of the Inverse Discrete Fourier Transform involves calculating a
913 multiplicative inverse, which may not exist in every Ring, therefore the
914 Inverse Discrete Fourier Transform may not exist. (AFAICT the number of inputs
915 to the IDFT must be odd for the IDFT to be defined for Polynomials over GF(2).
916 TODO: check with someone who knows for sure if that's correct.)
917
918 ```
919 cltmadd RT, RA, RB, RC
920 ```
921
922 TODO: add link to explanation for where `RS` comes from.
923
924 ```
925 a = (RA)
926 c = (RC)
927 # read all inputs before writing to any outputs in case
928 # an input overlaps with an output register.
929 (RT) = clmul(a, (RB)) ^ c
930 (RS) = a ^ c
931 ```
932
933 ## `cldivrem` Carry-less Division and Remainder
934
935 `cldivrem` isn't an actual instruction, but is just used in the pseudo-code
936 for other instructions.
937
938 ```python
939 [[!inline pagenames="gf_reference/cldivrem.py" raw="yes"]]
940 ```
941
942 ## `cldiv` Carry-less Division
943
944 ```
945 cldiv RT, RA, RB
946 ```
947
948 ```
949 n = (RA)
950 d = (RB)
951 q, r = cldivrem(n, d, width=XLEN)
952 (RT) = q
953 ```
954
955 ## `clrem` Carry-less Remainder
956
957 ```
958 clrem RT, RA, RB
959 ```
960
961 ```
962 n = (RA)
963 d = (RB)
964 q, r = cldivrem(n, d, width=XLEN)
965 (RT) = r
966 ```
967
968 # Instructions for Binary Galois Fields `GF(2^m)`
969
970 see:
971
972 * <https://courses.csail.mit.edu/6.857/2016/files/ffield.py>
973 * <https://engineering.purdue.edu/kak/compsec/NewLectures/Lecture7.pdf>
974 * <https://foss.heptapod.net/math/libgf2/-/blob/branch/default/src/libgf2/gf2.py>
975
976 Binary Galois Field addition/subtraction is simply XOR, so a `gfbadd`
977 instruction is not provided since the `xor[i]` instruction can be used instead.
978
979 ## `GFBREDPOLY` SPR -- Reducing Polynomial
980
981 In order to save registers and to make operations orthogonal with standard
982 arithmetic, the reducing polynomial is stored in a dedicated SPR `GFBREDPOLY`.
983 This also allows hardware to pre-compute useful parameters (such as the
984 degree, or look-up tables) based on the reducing polynomial, and store them
985 alongside the SPR in hidden registers, only recomputing them whenever the SPR
986 is written to, rather than having to recompute those values for every
987 instruction.
988
989 Because Galois Fields require the reducing polynomial to be an irreducible
990 polynomial, that guarantees that any polynomial of `degree > 1` must have
991 the LSB set, since otherwise it would be divisible by the polynomial `x`,
992 making it reducible, making whatever we're working on no longer a Field.
993 Therefore, we can reuse the LSB to indicate `degree == XLEN`.
994
995 ```python
996 [[!inline pagenames="gf_reference/decode_reducing_polynomial.py" raw="yes"]]
997 ```
998
999 ## `gfbredpoly` -- Set the Reducing Polynomial SPR `GFBREDPOLY`
1000
1001 unless this is an immediate op, `mtspr` is completely sufficient.
1002
1003 ```python
1004 [[!inline pagenames="gf_reference/gfbredpoly.py" raw="yes"]]
1005 ```
1006
1007 ## `gfbmul` -- Binary Galois Field `GF(2^m)` Multiplication
1008
1009 ```
1010 gfbmul RT, RA, RB
1011 ```
1012
1013 ```python
1014 [[!inline pagenames="gf_reference/gfbmul.py" raw="yes"]]
1015 ```
1016
1017 ## `gfbmadd` -- Binary Galois Field `GF(2^m)` Multiply-Add
1018
1019 ```
1020 gfbmadd RT, RA, RB, RC
1021 ```
1022
1023 ```python
1024 [[!inline pagenames="gf_reference/gfbmadd.py" raw="yes"]]
1025 ```
1026
1027 ## `gfbtmadd` -- Binary Galois Field `GF(2^m)` Twin Multiply-Add (for FFT)
1028
1029 Used in combination with SV FFT REMAP to perform a full `GF(2^m)` Discrete
1030 Fourier Transform in-place. Possible by having 3-in 2-out, to avoid the need
1031 for a temp register. RS is written to as well as RT.
1032
1033 ```
1034 gfbtmadd RT, RA, RB, RC
1035 ```
1036
1037 TODO: add link to explanation for where `RS` comes from.
1038
1039 ```
1040 a = (RA)
1041 c = (RC)
1042 # read all inputs before writing to any outputs in case
1043 # an input overlaps with an output register.
1044 (RT) = gfbmadd(a, (RB), c)
1045 # use gfbmadd again since it reduces the result
1046 (RS) = gfbmadd(a, 1, c) # "a * 1 + c"
1047 ```
1048
1049 ## `gfbinv` -- Binary Galois Field `GF(2^m)` Inverse
1050
1051 ```
1052 gfbinv RT, RA
1053 ```
1054
1055 ```python
1056 [[!inline pagenames="gf_reference/gfbinv.py" raw="yes"]]
1057 ```
1058
1059 # Instructions for Prime Galois Fields `GF(p)`
1060
1061 ## `GFPRIME` SPR -- Prime Modulus For `gfp*` Instructions
1062
1063 ## `gfpadd` Prime Galois Field `GF(p)` Addition
1064
1065 ```
1066 gfpadd RT, RA, RB
1067 ```
1068
1069 ```python
1070 [[!inline pagenames="gf_reference/gfpadd.py" raw="yes"]]
1071 ```
1072
1073 the addition happens on infinite-precision integers
1074
1075 ## `gfpsub` Prime Galois Field `GF(p)` Subtraction
1076
1077 ```
1078 gfpsub RT, RA, RB
1079 ```
1080
1081 ```python
1082 [[!inline pagenames="gf_reference/gfpsub.py" raw="yes"]]
1083 ```
1084
1085 the subtraction happens on infinite-precision integers
1086
1087 ## `gfpmul` Prime Galois Field `GF(p)` Multiplication
1088
1089 ```
1090 gfpmul RT, RA, RB
1091 ```
1092
1093 ```python
1094 [[!inline pagenames="gf_reference/gfpmul.py" raw="yes"]]
1095 ```
1096
1097 the multiplication happens on infinite-precision integers
1098
1099 ## `gfpinv` Prime Galois Field `GF(p)` Invert
1100
1101 ```
1102 gfpinv RT, RA
1103 ```
1104
1105 Some potential hardware implementations are found in:
1106 <https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.90.5233&rep=rep1&type=pdf>
1107
1108 ```python
1109 [[!inline pagenames="gf_reference/gfpinv.py" raw="yes"]]
1110 ```
1111
1112 ## `gfpmadd` Prime Galois Field `GF(p)` Multiply-Add
1113
1114 ```
1115 gfpmadd RT, RA, RB, RC
1116 ```
1117
1118 ```python
1119 [[!inline pagenames="gf_reference/gfpmadd.py" raw="yes"]]
1120 ```
1121
1122 the multiplication and addition happens on infinite-precision integers
1123
1124 ## `gfpmsub` Prime Galois Field `GF(p)` Multiply-Subtract
1125
1126 ```
1127 gfpmsub RT, RA, RB, RC
1128 ```
1129
1130 ```python
1131 [[!inline pagenames="gf_reference/gfpmsub.py" raw="yes"]]
1132 ```
1133
1134 the multiplication and subtraction happens on infinite-precision integers
1135
1136 ## `gfpmsubr` Prime Galois Field `GF(p)` Multiply-Subtract-Reversed
1137
1138 ```
1139 gfpmsubr RT, RA, RB, RC
1140 ```
1141
1142 ```python
1143 [[!inline pagenames="gf_reference/gfpmsubr.py" raw="yes"]]
1144 ```
1145
1146 the multiplication and subtraction happens on infinite-precision integers
1147
1148 ## `gfpmaddsubr` Prime Galois Field `GF(p)` Multiply-Add and Multiply-Sub-Reversed (for FFT)
1149
1150 Used in combination with SV FFT REMAP to perform
1151 a full Number-Theoretic-Transform in-place. Possible by having 3-in 2-out,
1152 to avoid the need for a temp register. RS is written
1153 to as well as RT.
1154
1155 ```
1156 gfpmaddsubr RT, RA, RB, RC
1157 ```
1158
1159 TODO: add link to explanation for where `RS` comes from.
1160
1161 ```
1162 factor1 = (RA)
1163 factor2 = (RB)
1164 term = (RC)
1165 # read all inputs before writing to any outputs in case
1166 # an input overlaps with an output register.
1167 (RT) = gfpmadd(factor1, factor2, term)
1168 (RS) = gfpmsubr(factor1, factor2, term)
1169 ```
1170
1171 # Already in POWER ISA or subsumed
1172
1173 Lists operations either included as part of
1174 other bitmanip operations, or are already in
1175 Power ISA.
1176
1177 ## cmix
1178
1179 based on RV bitmanip, covered by ternlog bitops
1180
1181 ```
1182 uint_xlen_t cmix(uint_xlen_t RA, uint_xlen_t RB, uint_xlen_t RC) {
1183 return (RA & RB) | (RC & ~RB);
1184 }
1185 ```
1186
1187 ## count leading/trailing zeros with mask
1188
1189 in v3.1 p105
1190
1191 ```
1192 count = 0
1193 do i = 0 to 63 if((RB)i=1) then do
1194 if((RS)i=1) then break end end count ← count + 1
1195 RA ← EXTZ64(count)
1196 ```
1197
1198 ## bit deposit
1199
1200 pdepd VRT,VRA,VRB, identical to RV bitmamip bdep, found already in v3.1 p106
1201
1202 do while(m < 64)
1203 if VSR[VRB+32].dword[i].bit[63-m]=1 then do
1204 result = VSR[VRA+32].dword[i].bit[63-k]
1205 VSR[VRT+32].dword[i].bit[63-m] = result
1206 k = k + 1
1207 m = m + 1
1208
1209 ```
1210
1211 uint_xlen_t bdep(uint_xlen_t RA, uint_xlen_t RB)
1212 {
1213 uint_xlen_t r = 0;
1214 for (int i = 0, j = 0; i < XLEN; i++)
1215 if ((RB >> i) & 1) {
1216 if ((RA >> j) & 1)
1217 r |= uint_xlen_t(1) << i;
1218 j++;
1219 }
1220 return r;
1221 }
1222
1223 ```
1224
1225 ## bit extract
1226
1227 other way round: identical to RV bext: pextd, found in v3.1 p196
1228
1229 ```
1230 uint_xlen_t bext(uint_xlen_t RA, uint_xlen_t RB)
1231 {
1232 uint_xlen_t r = 0;
1233 for (int i = 0, j = 0; i < XLEN; i++)
1234 if ((RB >> i) & 1) {
1235 if ((RA >> i) & 1)
1236 r |= uint_xlen_t(1) << j;
1237 j++;
1238 }
1239 return r;
1240 }
1241 ```
1242
1243 ## centrifuge
1244
1245 found in v3.1 p106 so not to be added here
1246
1247 ```
1248 ptr0 = 0
1249 ptr1 = 0
1250 do i = 0 to 63
1251 if((RB)i=0) then do
1252 resultptr0 = (RS)i
1253 end
1254 ptr0 = ptr0 + 1
1255 if((RB)63-i==1) then do
1256 result63-ptr1 = (RS)63-i
1257 end
1258 ptr1 = ptr1 + 1
1259 RA = result
1260 ```
1261
1262 ## bit to byte permute
1263
1264 similar to matrix permute in RV bitmanip, which has XOR and OR variants,
1265 these perform a transpose (bmatflip).
1266 TODO this looks VSX is there a scalar variant
1267 in v3.0/1 already
1268
1269 do j = 0 to 7
1270 do k = 0 to 7
1271 b = VSR[VRB+32].dword[i].byte[k].bit[j]
1272 VSR[VRT+32].dword[i].byte[j].bit[k] = b
1273
1274 # Appendix
1275
1276 see [[bitmanip/appendix]]
1277