1 # DRAFT Scalar Transcendentals
5 *This proposal extends Power ISA scalar floating point operations to
6 add IEEE754 transcendental functions (pow, log etc) and trigonometric
7 functions (sin, cos etc). These functions are also 98% shared with the
8 Khronos Group OpenCL Extended Instruction Set.*
17 * Luis Vitorio Cargnini
23 * <http://bugs.libre-soc.org/show_bug.cgi?id=127>
24 * <https://www.khronos.org/registry/spir-v/specs/unified1/OpenCL.ExtendedInstructionSet.100.html>
25 * [[power_trans_ops]] for opcode listing.
29 * **Zftrans**: standard transcendentals (best suited to 3D)
30 * **ZftransExt**: extra functions (useful, not generally needed for 3D,
31 can be synthesised using Ztrans)
32 * **Ztrigpi**: trig. xxx-pi sinpi cospi tanpi
33 * **Ztrignpi**: trig non-xxx-pi sin cos tan
34 * **Zarctrigpi**: arc-trig. a-xxx-pi: atan2pi asinpi acospi
35 * **Zarctrignpi**: arc-trig. non-a-xxx-pi: atan2, asin, acos
36 * **Zfhyp**: hyperbolic/inverse-hyperbolic. sinh, cosh, tanh, asinh,
37 acosh, atanh (can be synthesised - see below)
38 * **ZftransAdv**: much more complex to implement in hardware
39 * **Zfrsqrt**: Reciprocal square-root.
41 Minimum recommended requirements for 3D: Zftrans, Ztrignpi,
42 Zarctrignpi, with Ztrigpi and Zarctrigpi as augmentations.
44 Minimum recommended requirements for Mobile-Embedded 3D:
45 Ztrignpi, Zftrans, with Ztrigpi as an augmentation.
49 * Decision on accuracy, moved to [[zfpacc_proposal]]
50 <http://lists.libre-riscv.org/pipermail/libre-riscv-dev/2019-August/002355.html>
51 * Errors **MUST** be repeatable.
52 * How about four Platform Specifications? 3DUNIX, UNIX, 3DEmbedded and Embedded?
53 <http://lists.libre-riscv.org/pipermail/libre-riscv-dev/2019-August/002361.html>
54 Accuracy requirements for dual (triple) purpose implementations must
55 meet the higher standard.
56 * Reciprocal Square-root is in its own separate extension (Zfrsqrt) as
57 it is desirable on its own by other implementors. This to be evaluated.
59 # Requirements <a name="requirements"></a>
61 This proposal is designed to meet a wide range of extremely diverse
62 needs, allowing implementors from all of them to benefit from the tools
63 and hardware cost reductions associated with common standards adoption
64 in Power ISA (primarily IEEE754 and Vulkan).
66 **There are *four* different, disparate platform's needs (two new)**:
68 * 3D Embedded Platform (new)
70 * 3D UNIX Platform (new)
73 **The use-cases are**:
76 * Numerical Computation
77 * (Potentially) A.I. / Machine-learning (1)
79 (1) although approximations suffice in this field, making it more likely
80 to use a custom extension. High-end ML would inherently definitely
83 **The power and die-area requirements vary from**:
85 * Ultra-low-power (smartwatches where GPU power budgets are in milliwatts)
86 * Mobile-Embedded (good performance with high efficiency for battery life)
88 * Server / HPC / Supercomputing
90 **The software requirements are**:
92 * Full public integration into GNU math libraries (libm)
93 * Full public integration into well-known Numerical Computation systems (numpy)
94 * Full public integration into upstream GNU and LLVM Compiler toolchains
95 * Full public integration into Khronos OpenCL SPIR-V compatible Compilers
96 seeking public Certification and Endorsement from the Khronos Group
97 under their Trademarked Certification Programme.
99 # Proposed Opcodes vs Khronos OpenCL vs IEEE754-2019<a name="khronos_equiv"></a>
101 This list shows the (direct) equivalence between proposed opcodes,
102 their Khronos OpenCL equivalents, and their IEEE754-2019 equivalents.
103 98% of the opcodes in this proposal that are in the IEEE754-2019 standard
104 are present in the Khronos Extended Instruction Set.
107 <https://www.khronos.org/registry/spir-v/specs/unified1/OpenCL.ExtendedInstructionSet.100.html>
108 and <https://ieeexplore.ieee.org/document/8766229>
110 * Special FP16 opcodes are *not* being proposed, except by indirect / inherent
111 use of elwidth overrides that is already present in the SVP64 Specification.
112 * "Native" opcodes are *not* being proposed: implementors will be expected
113 to use the (equivalent) proposed opcode covering the same function.
114 * "Fast" opcodes are *not* being proposed, because the Khronos Specification
115 fast\_length, fast\_normalise and fast\_distance OpenCL opcodes require
116 vectors (or can be done as scalar operations using other Power ISA
119 The OpenCL FP32 opcodes are **direct** equivalents to the proposed opcodes.
120 Deviation from conformance with the Khronos Specification - including the
121 Khronos Specification accuracy requirements - is not an option, as it
122 results in non-compliance, and the vendor may not use the Trademarked words
123 "Vulkan" etc. in conjunction with their product.
125 IEEE754-2019 Table 9.1 lists "additional mathematical operations".
126 Interestingly the only functions missing when compared to OpenCL are
127 compound, exp2m1, exp10m1, log2p1, log10p1, pown (integer power) and powr.
129 |opcode |OpenCL FP32|OpenCL FP16|OpenCL native|OpenCL fast|IEEE754 |Power ISA |
130 |------- |-----------|-----------|-------------|-----------|------- |--------- |
131 |FSIN |sin |half\_sin |native\_sin |NONE |sin |NONE |
132 |FCOS |cos |half\_cos |native\_cos |NONE |cos |NONE |
133 |FTAN |tan |half\_tan |native\_tan |NONE |tan |NONE |
134 |NONE (1)|sincos |NONE |NONE |NONE |NONE |NONE |
135 |FASIN |asin |NONE |NONE |NONE |asin |NONE |
136 |FACOS |acos |NONE |NONE |NONE |acos |NONE |
137 |FATAN |atan |NONE |NONE |NONE |atan |NONE |
138 |FSINPI |sinpi |NONE |NONE |NONE |sinPi |NONE |
139 |FCOSPI |cospi |NONE |NONE |NONE |cosPi |NONE |
140 |FTANPI |tanpi |NONE |NONE |NONE |tanPi |NONE |
141 |FASINPI |asinpi |NONE |NONE |NONE |asinPi |NONE |
142 |FACOSPI |acospi |NONE |NONE |NONE |acosPi |NONE |
143 |FATANPI |atanpi |NONE |NONE |NONE |atanPi |NONE |
144 |FSINH |sinh |NONE |NONE |NONE |sinh |NONE |
145 |FCOSH |cosh |NONE |NONE |NONE |cosh |NONE |
146 |FTANH |tanh |NONE |NONE |NONE |tanh |NONE |
147 |FASINH |asinh |NONE |NONE |NONE |asinh |NONE |
148 |FACOSH |acosh |NONE |NONE |NONE |acosh |NONE |
149 |FATANH |atanh |NONE |NONE |NONE |atanh |NONE |
150 |FATAN2 |atan2 |NONE |NONE |NONE |atan2 |NONE |
151 |FATAN2PI|atan2pi |NONE |NONE |NONE |atan2pi |NONE |
152 |FRSQRT |rsqrt |half\_rsqrt|native\_rsqrt|NONE |rSqrt |fsqrte, fsqrtes (4) |
153 |FCBRT |cbrt |NONE |NONE |NONE |NONE (2)|NONE |
154 |FEXP2 |exp2 |half\_exp2 |native\_exp2 |NONE |exp2 |NONE |
155 |FLOG2 |log2 |half\_log2 |native\_log2 |NONE |log2 |NONE |
156 |FEXPM1 |expm1 |NONE |NONE |NONE |expm1 |NONE |
157 |FLOG1P |log1p |NONE |NONE |NONE |logp1 |NONE |
158 |FEXP |exp |half\_exp |native\_exp |NONE |exp |NONE |
159 |FLOG |log |half\_log |native\_log |NONE |log |NONE |
160 |FEXP10 |exp10 |half\_exp10|native\_exp10|NONE |exp10 |NONE |
161 |FLOG10 |log10 |half\_log10|native\_log10|NONE |log10 |NONE |
162 |FPOW |pow |NONE |NONE |NONE |pow |NONE |
163 |FPOWN |pown |NONE |NONE |NONE |pown |NONE |
164 |FPOWR |powr |half\_powr |native\_powr |NONE |powr |NONE |
165 |FROOTN |rootn |NONE |NONE |NONE |rootn |NONE |
166 |FHYPOT |hypot |NONE |NONE |NONE |hypot |NONE |
167 |FRECIP |NONE |half\_recip|native\_recip|NONE |NONE (3)|fre, fres (4) |
168 |NONE |NONE |NONE |NONE |NONE |compound|NONE |
169 |NONE |NONE |NONE |NONE |NONE |exp2m1 |NONE |
170 |NONE |NONE |NONE |NONE |NONE |exp10m1 |NONE |
171 |NONE |NONE |NONE |NONE |NONE |log2p1 |NONE |
172 |NONE |NONE |NONE |NONE |NONE |log10p1 |NONE |
174 Note (1) FSINCOS is macro-op fused (see below).
176 Note (2) synthesised in IEEE754-2019 as "pown(x, 3)"
178 Note (3) synthesised in IEEE754-2019 using "1.0 / x"
180 Note (4) these are estimate opcodes that help accelerate
183 ## List of 2-arg opcodes
185 | opcode | Description | pseudocode | Extension |
186 | ------ | ---------------- | ---------------- | ----------- |
187 | FATAN2 | atan2 arc tangent | rd = atan2(rs2, rs1) | Zarctrignpi |
188 | FATAN2PI | atan2 arc tangent / pi | rd = atan2(rs2, rs1) / pi | Zarctrigpi |
189 | FPOW | x power of y | rd = pow(rs1, rs2) | ZftransAdv |
190 | FPOWN | x power of n (n int) | rd = pow(rs1, rs2) | ZftransAdv |
191 | FPOWR | x power of y (x +ve) | rd = exp(rs1 log(rs2)) | ZftransAdv |
192 | FROOTN | x power 1/n (n integer)| rd = pow(rs1, 1/rs2) | ZftransAdv |
193 | FHYPOT | hypotenuse | rd = sqrt(rs1^2 + rs2^2) | ZftransAdv |
195 ## List of 1-arg transcendental opcodes
197 | opcode | Description | pseudocode | Extension |
198 | ------ | ---------------- | ---------------- | ----------- |
199 | FRSQRT | Reciprocal Square-root | rd = sqrt(rs1) | Zfrsqrt |
200 | FCBRT | Cube Root | rd = pow(rs1, 1.0 / 3) | ZftransAdv |
201 | FRECIP | Reciprocal | rd = 1.0 / rs1 | Zftrans |
202 | FEXP2 | power-of-2 | rd = pow(2, rs1) | Zftrans |
203 | FLOG2 | log2 | rd = log(2. rs1) | Zftrans |
204 | FEXPM1 | exponential minus 1 | rd = pow(e, rs1) - 1.0 | ZftransExt |
205 | FLOG1P | log plus 1 | rd = log(e, 1 + rs1) | ZftransExt |
206 | FEXP | exponential | rd = pow(e, rs1) | ZftransExt |
207 | FLOG | natural log (base e) | rd = log(e, rs1) | ZftransExt |
208 | FEXP10 | power-of-10 | rd = pow(10, rs1) | ZftransExt |
209 | FLOG10 | log base 10 | rd = log(10, rs1) | ZftransExt |
211 ## List of 1-arg trigonometric opcodes
213 | opcode | Description | pseudocode | Extension |
214 | ------ | ---------------- | ---------------- | ----------- |
215 | FSIN | sin (radians) | rd = sin(rs1) | Ztrignpi |
216 | FCOS | cos (radians) | rd = cos(rs1) | Ztrignpi |
217 | FTAN | tan (radians) | rd = tan(rs1) | Ztrignpi |
218 | FASIN | arcsin (radians) | rd = asin(rs1) | Zarctrignpi |
219 | FACOS | arccos (radians) | rd = acos(rs1) | Zarctrignpi |
220 | FATAN | arctan (radians) | rd = atan(rs1) | Zarctrignpi |
221 | FSINPI | sin times pi | rd = sin(pi * rs1) | Ztrigpi |
222 | FCOSPI | cos times pi | rd = cos(pi * rs1) | Ztrigpi |
223 | FTANPI | tan times pi | rd = tan(pi * rs1) | Ztrigpi |
224 | FASINPI | arcsin / pi | rd = asin(rs1) / pi | Zarctrigpi |
225 | FACOSPI | arccos / pi | rd = acos(rs1) / pi | Zarctrigpi |
226 | FATANPI | arctan / pi | rd = atan(rs1) / pi | Zarctrigpi |
227 | FSINH | hyperbolic sin (radians) | rd = sinh(rs1) | Zfhyp |
228 | FCOSH | hyperbolic cos (radians) | rd = cosh(rs1) | Zfhyp |
229 | FTANH | hyperbolic tan (radians) | rd = tanh(rs1) | Zfhyp |
230 | FASINH | inverse hyperbolic sin | rd = asinh(rs1) | Zfhyp |
231 | FACOSH | inverse hyperbolic cos | rd = acosh(rs1) | Zfhyp |
232 | FATANH | inverse hyperbolic tan | rd = atanh(rs1) | Zfhyp |
234 [[!inline pages="openpower/power_trans_ops" raw=yes ]]
238 The full set is based on the Khronos OpenCL opcodes. If implemented
239 entirely it would be too much for both Embedded and also 3D.
241 The subsets are organised by hardware complexity, need (3D, HPC), however
242 due to synthesis producing inaccurate results at the range limits,
243 the less common subsets are still required for IEEE754 HPC.
245 MALI Midgard, an embedded / mobile 3D GPU, for example only has the
249 F0 - frcp (reciprocal)
250 F2 - frsqrt (inverse square root, 1/sqrt(x))
251 F3 - fsqrt (square root)
258 These in FP32 and FP16 only: no FP64 hardware, at all.
260 Vivante Embedded/Mobile 3D (etnaviv
261 <https://github.com/laanwj/etna_viv/blob/master/rnndb/isa.xml>)
262 only has the following:
270 It also has fast variants of some of these, as a CSR Mode.
272 AMD's R600 GPU (R600\_Instruction\_Set\_Architecture.pdf) and the
273 RDNA ISA (RDNA\_Shader\_ISA\_5August2019.pdf, Table 22, Section 6.3) have:
283 AMD RDNA has F16 and F32 variants of all the above, and also has F64
284 variants of SQRT, RSQRT and RECIP. It is interesting that even the
285 modern high-end AMD GPU does not have TAN or ATAN, where MALI Midgard
288 Also a general point, that customised optimised hardware targetting
289 FP32 3D with less accuracy simply can neither be used for IEEE754 nor
290 for FP64 (except as a starting point for hardware or software driven
291 Newton Raphson or other iterative method).
293 Also in cost/area sensitive applications even the extra ROM lookup tables
294 for certain algorithms may be too costly.
296 These wildly differing and incompatible driving factors lead to the
297 subset subdivisions, below.
299 ## Transcendental Subsets
303 LOG2 EXP2 RECIP RSQRT
305 Zftrans contains the minimum standard transcendentals best suited to
306 3D. They are also the minimum subset for synthesising log10, exp10,
307 exp1m, log1p, the hyperbolic trigonometric functions sinh and so on.
309 They are therefore considered "base" (essential) transcendentals.
313 LOG, EXP, EXP10, LOG10, LOGP1, EXP1M
315 These are extra transcendental functions that are useful, not generally
316 needed for 3D, however for Numerical Computation they may be useful.
318 Although they can be synthesised using Ztrans (LOG2 multiplied
319 by a constant), there is both a performance penalty as well as an
320 accuracy penalty towards the limits, which for IEEE754 compliance is
321 unacceptable. In particular, LOG(1+rs1) in hardware may give much better
322 accuracy at the lower end (very small rs1) than LOG(rs1).
324 Their forced inclusion would be inappropriate as it would penalise
325 embedded systems with tight power and area budgets. However if they
326 were completely excluded the HPC applications would be penalised on
327 performance and accuracy.
329 Therefore they are their own subset extension.
333 SINH, COSH, TANH, ASINH, ACOSH, ATANH
335 These are the hyperbolic/inverse-hyperbolic functions. Their use in 3D
338 They can all be synthesised using LOG, SQRT and so on, so depend
339 on Zftrans. However, once again, at the limits of the range, IEEE754
340 compliance becomes impossible, and thus a hardware implementation may
343 HPC and high-end GPUs are likely markets for these.
347 CBRT, POW, POWN, POWR, ROOTN
349 These are simply much more complex to implement in hardware, and typically
350 will only be put into HPC applications.
352 * **Zfrsqrt**: Reciprocal square-root.
354 ## Trigonometric subsets
356 ### Ztrigpi vs Ztrignpi
358 * **Ztrigpi**: SINPI COSPI TANPI
359 * **Ztrignpi**: SIN COS TAN
361 Ztrignpi are the basic trigonometric functions through which all others
362 could be synthesised, and they are typically the base trigonometrics
363 provided by GPUs for 3D, warranting their own subset.
365 In the case of the Ztrigpi subset, these are commonly used in for loops
366 with a power of two number of subdivisions, and the cost of multiplying
367 by PI inside each loop (or cumulative addition, resulting in cumulative
368 errors) is not acceptable.
370 In for example CORDIC the multiplication by PI may be moved outside of
371 the hardware algorithm as a loop invariant, with no power or area penalty.
373 Again, therefore, if SINPI (etc.) were excluded, programmers would be
374 penalised by being forced to divide by PI in some circumstances. Likewise
375 if SIN were excluded, programmers would be penaslised by being forced
376 to *multiply* by PI in some circumstances.
378 Thus again, a slightly different application of the same general argument
379 applies to give Ztrignpi and Ztrigpi as subsets. 3D GPUs will almost
380 certainly provide both.
382 ### Zarctrigpi and Zarctrignpi
384 * **Zarctrigpi**: ATAN2PI ASINPI ACOSPI
385 * **Zarctrignpi**: ATAN2 ACOS ASIN
387 These are extra trigonometric functions that are useful in some
388 applications, but even for 3D GPUs, particularly embedded and mobile class
389 GPUs, they are not so common and so are typically synthesised, there.
391 Although they can be synthesised using Ztrigpi and Ztrignpi, there is,
392 once again, both a performance penalty as well as an accuracy penalty
393 towards the limits, which for IEEE754 compliance is unacceptable, yet
394 is acceptable for 3D.
396 Therefore they are their own subset extensions.
398 # Synthesis, Pseudo-code ops and macro-ops
400 The pseudo-ops are best left up to the compiler rather than being actual
401 pseudo-ops, by allocating one scalar FP register for use as a constant
402 (loop invariant) set to "1.0" at the beginning of a function or other
405 * FSINCOS - fused macro-op between FSIN and FCOS (issued in that order).
406 * FSINCOSPI - fused macro-op between FSINPI and FCOSPI (issued in that order).
408 FATANPI example pseudo-code:
410 fmvis ft0, 0x3F800 // upper bits of f32 1.0 (BF16)
411 fatan2pis FRT, FRA, ft0
413 Hyperbolic function example (obviates need for Zfhyp except for
414 high-performance or correctly-rounding):
416 ASINH( x ) = ln( x + SQRT(x**2+1))
418 # Evaluation and commentary
420 Moved to [[discussion]]