3 # SV Vector Operations.
7 * <https://github.com/riscv/riscv-v-spec/blob/master/v-spec.adoc#vector-register-gather-instructions>
8 * <http://0x80.pl/notesen/2016-10-23-avx512-conflict-detection.html> conflictd example
9 * <https://lists.libre-soc.org/pipermail/libre-soc-dev/2022-May/004884.html>
10 * <https://bugs.libre-soc.org/show_bug.cgi?id=213>
11 * <https://bugs.libre-soc.org/show_bug.cgi?id=142> specialist vector ops
12 out of scope for this document [[openpower/sv/3d_vector_ops]]
13 * [[simple_v_extension/specification/bitmanip]] previous version,
14 contains pseudocode for sof, sif, sbf
17 The core OpenPOWER ISA was designed as scalar: SV provides a level of abstraction to add variable-length element-independent parallelism. However, certain classes of instructions only make sense in a Vector context: AVX512 conflictd for example. This section includes such examples. Many of them are from the RISC-V Vector ISA (with thanks to the efforts of RVV's contributors)
21 * Some of these actually could be added to a scalar ISA as bitmanipulation instructions. These are separated out into their own section.
22 * Instructions suited to 3D GPU workloads (dotproduct, crossproduct, normalise) are out of scope: this document is for more general-purpose instructions that underpin and are critical to general-purpose Vector workloads (including GPU and VPU)
23 * Instructions related to the adaptation of CRs for use as predicate masks are covered separately, by crweird operations. See [[sv/cr_int_predication]].
27 Both of these instructions may be synthesised from SVP64 Vector
28 instructions. conflictd is an O(N^2) instruction based on
29 `sv.cmpi` and iota is an O(N) instruction based on `sv.addi`
30 with the appropriate predication
34 This is based on the AVX512 conflict detection instruction. Internally the logic is used to detect address conflicts in multi-issue LD/ST operations. Two arrays of values are given: the indices are compared and duplicates reported in a triangular fashion. the instruction may be used for histograms (computed in parallel)
36 input = [100, 100, 3, 100, 5, 100, 100, 3]
38 0b00000000, // Note: first element always zero
39 0b00000001, // 100 is present on #0
41 0b00000011, // 100 is present on #0 and #1
43 0b00001011, // 100 is present on #0, #1, #3
44 0b00011011, // .. and #4
45 0b00000100 // 3 is present on #2
52 if src1[i] == src2[j]:
55 Idea 1: implement this as a Triangular Schedule, Vertical-First Mode,
56 using `mfcrweird` and `cmpi`. first triangular schedule on src1,
59 Idea 2: implement using outer loop on varying setvl Horizontal-First
60 with `1<<r3` predicate mask for src2 as scalar, creates CR field vector, transfer into INT with mfcrweird then OR into the
65 for i in range(target):
67 sv.addi/sm=1<<r3 t0, src1.v, 0 # copy src1[i]
68 sv.cmpi src2.v, t0 # compare src2 vector to scalar
69 sv.mfcrweird t1, cr0.v, eq # copy CR eq result bits to t1
70 srr t1, t1, i # shift up by i before ORing
72 srr r3, r3, 1 # shift r3 predicate up by one
74 See [[sv/cr_int_predication]] for full details on the crweird instructions:
75 the primary important aspect here is that a Vector of CR Field's EQ bits is
76 transferred into a single GPR. The secondary important aspect is that VL
77 is being adjusted in each loop, testing successively more of the input
78 vector against a given scalar, each time.
82 * <https://stackoverflow.com/questions/39266476/how-to-speed-up-this-histogram-of-lut-lookups>
83 * <https://stackoverflow.com/questions/39913707/how-do-the-conflict-detection-instructions-make-it-easier-to-vectorize-loops>
87 Based on RVV vmiota. vmiota may be viewed as a cumulative variant of popcount, generating multiple results. successive iterations include more and more bits of the bitstream being tested.
89 When masked, only the bits not masked out are included in the count process.
93 Note that when RA=0 this indicates to test against all 1s, resulting in the instruction generating a vector sequence [0, 1, 2... VL-1]. This will be equivalent to RVV vid.m which is a pseudo-op, here (RA=0).
97 7 6 5 4 3 2 1 0 Element number
99 1 0 0 1 0 0 0 1 v2 contents
100 viota.m v4, v2 # Unmasked
101 2 2 2 1 1 1 1 0 v4 result
103 1 1 1 0 1 0 1 1 v0 contents
104 1 0 0 1 0 0 0 1 v2 contents
105 2 3 4 5 6 7 8 9 v4 contents
106 viota.m v4, v2, v0.t # Masked
107 1 1 1 5 1 7 1 0 v4 results
109 def iota(RT, RA, RB):
110 mask = RB ? iregs[RB] : 0b111111...1
111 val = RA ? iregs[RA] : 0b111111...1
114 testmask = (1<<i)-1 # only count below
115 to_test = val & testmask & mask
116 iregs[RT+i] = popcount(to_test)
118 a Vector CR-based version of the same, due to CRs being used for predication. This would use the same testing mechanism as branch: BO[0:2]
119 where bit 2 is inv, bits 0:1 select the bit of the CR.
121 def test_CR_bit(CR, BO):
122 return CR[BO[0:1]] == BO[2]
124 def iotacr(RT, BA, BO):
125 mask = get_src_predicate()
128 if mask & (1<<i) == 0:
129 count = 0 # reset back to zero
132 if test_CR_bit(CR[i+BA], BO):
135 the variant of iotacr which is vidcr, this is not appropriate to have BA=0, plus, it is pointless to have it anyway. The integer version covers it, by not reading the int regfile at all.
137 scalar variant which can be Vectorised to give iotacr:
139 def crtaddi(RT, RA, BA, BO, D):
140 if test_CR_bit(BA, BO):
145 a Vector for-loop with zero-ing on dest will give the
146 mask-out effect of resetting the count back to zero.
147 However close examination shows that the above may actually
148 be `sv.addi/mr/sm=EQ/dz r0.v, r0.v, 1`
152 These may all be viewed as suitable for fitting into a scalar bitmanip extension.
160 7 6 5 4 3 2 1 0 Bit index
162 1 0 0 1 0 1 0 0 v3 contents
164 0 0 0 0 0 0 1 1 v2 contents
166 1 0 0 1 0 1 0 1 v3 contents
170 0 0 0 0 0 0 0 0 v3 contents
174 1 1 0 0 0 0 1 1 RB vcontents
175 1 0 0 1 0 1 0 0 v3 contents
177 0 1 x x x x 1 1 v2 contents
179 The vmsbf.m instruction takes a mask register as input and writes results to a mask register. The instruction writes a 1 to all active mask elements before the first source element that is a 1, then writes a 0 to that element and all following active elements. If there is no set bit in the source vector, then all active elements in the destination are written with a 1.
183 def sbf(rd, rs1, rs2):
185 # start setting if no predicate or if 1st predicate bit set
186 setting_mode = rs2 == x0 or (regs[rs2] & 1)
189 if rs2 != x0 and (regs[rs2] & bit):
193 if regs[rs1] & bit: # found a bit in rs1: stop setting rd
197 else if rs2 != x0: # searching mode
198 if (regs[rs2] & bit):
199 setting_mode = True # back into "setting" mode
204 The vector mask set-including-first instruction is similar to set-before-first, except it also includes the element with a set bit.
210 7 6 5 4 3 2 1 0 Bit number
212 1 0 0 1 0 1 0 0 v3 contents
214 0 0 0 0 0 1 1 1 v2 contents
216 1 0 0 1 0 1 0 1 v3 contents
220 1 1 0 0 0 0 1 1 RB vcontents
221 1 0 0 1 0 1 0 0 v3 contents
223 1 1 x x x x 1 1 v2 contents
227 def sif(rd, rs1, rs2):
229 setting_mode = rs2 == x0 or (regs[rs2] & 1)
234 # only reenable when predicate in use, and bit valid
235 if !setting_mode && rs2 != x0:
236 if (regs[rs2] & bit):
237 # back into "setting" mode
243 if regs[rs1] & bit == 1:
247 # setting mode, search for 1
248 regs[rd] |= bit # always set during search
249 if regs[rs1] & bit: # found a bit in rs1:
251 # next loop starts skipping
258 The vector mask set-only-first instruction is similar to set-before-first, except it only sets the first element with a bit set, if any.
264 7 6 5 4 3 2 1 0 Bit number
266 1 0 0 1 0 1 0 0 v3 contents
268 0 0 0 0 0 1 0 0 v2 contents
270 1 0 0 1 0 1 0 1 v3 contents
274 1 1 0 0 0 0 1 1 RB vcontents
275 1 1 0 1 0 1 0 0 v3 contents
277 0 1 x x x x 0 0 v2 content
281 def sof(rd, rs1, rs2):
283 setting_mode = rs2 == x0 or (regs[rs2] & 1)
288 # only reenable when predicate in use, and bit valid
289 if !setting_mode && rs2 != x0:
290 if (regs[rs2] & bit):
291 # back into "setting" mode
297 if regs[rs1] & bit == 1:
301 # setting mode, search for 1
302 if regs[rs1] & bit: # found a bit in rs1:
303 regs[rd] |= bit # only set when search succeeds
305 # next loop starts skipping
311 used not just for carry lookahead, also a special type of predication mask operation.
313 * <https://www.geeksforgeeks.org/carry-look-ahead-adder/>
314 * <https://media.geeksforgeeks.org/wp-content/uploads/digital_Logic6.png>
315 * <https://electronics.stackexchange.com/questions/20085/whats-the-difference-with-carry-look-ahead-generator-block-carry-look-ahead-ge>
316 * <https://i.stack.imgur.com/QSLKY.png>
317 * <https://stackoverflow.com/questions/27971757/big-integer-addition-code>
319 * <https://en.m.wikipedia.org/wiki/Carry-lookahead_adder>
327 x1 = nand(CIn, P0, P1)
329 C1 = nand(x1, y1, ~G1)
331 x2 = nand(CIn, P0, P1, P2)
332 y2 = nand(G0, P1, P2)
334 C1 = nand(x2, y2, z2, ~G2)
337 x3 = nand(G0, P1, P2, P3)
338 y3 = nand(G1, P2, P3)
340 G* = nand(x3, y3, z3, ~G3)
348 Stackoverflow algorithm `((P|G)+G)^P` works on the cumulated bits of P and G from associated vector units (P and G are integers here). The result of the algorithm is the new carry-in which already includes ripple, one bit of carry per element.
351 At each id, compute C[id] = A[id]+B[id]+0
352 Get G[id] = C[id] > radix -1
353 Get P[id] = C[id] == radix-1
354 Join all P[id] together, likewise G[id]
355 Compute newC = ((P|G)+G)^P
356 result[id] = (C[id] + newC[id]) % radix
359 two versions: scalar int version and CR based version.
361 scalar int version acts as a scalar carry-propagate, reading XER.CA as input, P and G as regs, and taking a radix argument. the end bits go into XER.CA and CR0.ge
363 vector version takes CR0.so as carry in, stores in CR0.so and CR.ge end bits.
365 if zero (no propagation) then CR0.eq is zero
367 CR based version, TODO.