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
16 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)
20 * Some of these actually could be added to a scalar ISA as bitmanipulation instructions. These are separated out into their own section.
21 * 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)
22 * Instructions related to the adaptation of CRs for use as predicate masks are covered separately, by crweird operations. See [[sv/cr_int_predication]].
26 Both of these instructions may be synthesised from SVP64 Vector
27 instructions. conflictd is an O(N^2) instruction based on
28 `sv.cmpi` and iota is an O(N) instruction based on `sv.addi`
29 with the appropriate predication
33 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)
35 input = [100, 100, 3, 100, 5, 100, 100, 3]
37 0b00000000, // Note: first element always zero
38 0b00000001, // 100 is present on #0
40 0b00000011, // 100 is present on #0 and #1
42 0b00001011, // 100 is present on #0, #1, #3
43 0b00011011, // .. and #4
44 0b00000100 // 3 is present on #2
51 if src1[i] == src2[j]:
54 Idea 1: implement this as a Triangular Schedule, Vertical-First Mode,
55 using `mfcrweird` and `cmpi`. first triangular schedule on src1,
58 Idea 2: implement using outer loop on varying setvl Horizontal-First
59 with `1<<r3` predicate mask for src2 as scalar, creates CR field vector, transfer into INT with mfcrweird then OR into the
64 for i in range(target):
66 sv.addi/sm=1<<r3 t0, src1.v, 0 # copy src1[i]
67 sv.cmpi src2.v, t0 # compare src2 vector to scalar
68 sv.mfcrweird t1, cr0.v, eq # copy CR eq result bits to t1
69 srr t1, t1, i # shift up by i before ORing
71 srr r3, r3, 1 # shift r3 predicate up by one
73 See [[sv/cr_int_predication]] for full details on the crweird instructions:
74 the primary important aspect here is that a Vector of CR Field's EQ bits is
75 transferred into a single GPR. The secondary important aspect is that VL
76 is being adjusted in each loop, testing successively more of the input
77 vector against a given scalar, each time.
81 * <https://stackoverflow.com/questions/39266476/how-to-speed-up-this-histogram-of-lut-lookups>
82 * <https://stackoverflow.com/questions/39913707/how-do-the-conflict-detection-instructions-make-it-easier-to-vectorize-loops>
86 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.
88 When masked, only the bits not masked out are included in the count process.
92 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).
96 7 6 5 4 3 2 1 0 Element number
98 1 0 0 1 0 0 0 1 v2 contents
99 viota.m v4, v2 # Unmasked
100 2 2 2 1 1 1 1 0 v4 result
102 1 1 1 0 1 0 1 1 v0 contents
103 1 0 0 1 0 0 0 1 v2 contents
104 2 3 4 5 6 7 8 9 v4 contents
105 viota.m v4, v2, v0.t # Masked
106 1 1 1 5 1 7 1 0 v4 results
108 def iota(RT, RA, RB):
109 mask = RB ? iregs[RB] : 0b111111...1
110 val = RA ? iregs[RA] : 0b111111...1
113 testmask = (1<<i)-1 # only count below
114 to_test = val & testmask & mask
115 iregs[RT+i] = popcount(to_test)
117 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]
118 where bit 2 is inv, bits 0:1 select the bit of the CR.
120 def test_CR_bit(CR, BO):
121 return CR[BO[0:1]] == BO[2]
123 def iotacr(RT, BA, BO):
124 mask = get_src_predicate()
127 if mask & (1<<i) == 0:
128 count = 0 # reset back to zero
131 if test_CR_bit(CR[i+BA], BO):
134 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.
136 scalar variant which can be Vectorised to give iotacr:
138 def crtaddi(RT, RA, BA, BO, D):
139 if test_CR_bit(BA, BO):
144 a Vector for-loop with zero-ing on dest will give the
145 mask-out effect of resetting the count back to zero.
146 However close examination shows that the above may actually
147 be `sv.addi/mr/sm=EQ/dz r0.v, r0.v, 1`
151 These may all be viewed as suitable for fitting into a scalar bitmanip extension.
159 7 6 5 4 3 2 1 0 Bit index
161 1 0 0 1 0 1 0 0 v3 contents
163 0 0 0 0 0 0 1 1 v2 contents
165 1 0 0 1 0 1 0 1 v3 contents
169 0 0 0 0 0 0 0 0 v3 contents
173 1 1 0 0 0 0 1 1 RB vcontents
174 1 0 0 1 0 1 0 0 v3 contents
176 0 1 x x x x 1 1 v2 contents
178 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 [[!inline quick="yes" raw="yes" pages="openpower/sv/sbf.py"]]
188 The vector mask set-including-first instruction is similar to set-before-first, except it also includes the element with a set bit.
194 7 6 5 4 3 2 1 0 Bit number
196 1 0 0 1 0 1 0 0 v3 contents
198 0 0 0 0 0 1 1 1 v2 contents
200 1 0 0 1 0 1 0 1 v3 contents
204 1 1 0 0 0 0 1 1 RB vcontents
205 1 0 0 1 0 1 0 0 v3 contents
207 1 1 x x x x 1 1 v2 contents
212 [[!inline quick="yes" raw="yes" pages="openpower/sv/sbf.py"]]
217 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.
223 7 6 5 4 3 2 1 0 Bit number
225 1 0 0 1 0 1 0 0 v3 contents
227 0 0 0 0 0 1 0 0 v2 contents
229 1 0 0 1 0 1 0 1 v3 contents
233 1 1 0 0 0 0 1 1 RB vcontents
234 1 1 0 1 0 1 0 0 v3 contents
236 0 1 x x x x 0 0 v2 content
241 [[!inline quick="yes" raw="yes" pages="openpower/sv/sof.py"]]
246 used not just for carry lookahead, also a special type of predication mask operation.
248 * <https://www.geeksforgeeks.org/carry-look-ahead-adder/>
249 * <https://media.geeksforgeeks.org/wp-content/uploads/digital_Logic6.png>
250 * <https://electronics.stackexchange.com/questions/20085/whats-the-difference-with-carry-look-ahead-generator-block-carry-look-ahead-ge>
251 * <https://i.stack.imgur.com/QSLKY.png>
252 * <https://stackoverflow.com/questions/27971757/big-integer-addition-code>
254 * <https://en.m.wikipedia.org/wiki/Carry-lookahead_adder>
262 x1 = nand(CIn, P0, P1)
264 C1 = nand(x1, y1, ~G1)
266 x2 = nand(CIn, P0, P1, P2)
267 y2 = nand(G0, P1, P2)
269 C1 = nand(x2, y2, z2, ~G2)
272 x3 = nand(G0, P1, P2, P3)
273 y3 = nand(G1, P2, P3)
275 G* = nand(x3, y3, z3, ~G3)
283 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.
286 At each id, compute C[id] = A[id]+B[id]+0
287 Get G[id] = C[id] > radix -1
288 Get P[id] = C[id] == radix-1
289 Join all P[id] together, likewise G[id]
290 Compute newC = ((P|G)+G)^P
291 result[id] = (C[id] + newC[id]) % radix
294 two versions: scalar int version and CR based version.
296 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
298 vector version takes CR0.so as carry in, stores in CR0.so and CR.ge end bits.
300 if zero (no propagation) then CR0.eq is zero
302 CR based version, TODO.