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.*
12 * Luke Kenneth Casson Leighton
18 * Luis Vitorio Cargnini
24 * <http://bugs.libre-soc.org/show_bug.cgi?id=127>
25 * <https://bugs.libre-soc.org/show_bug.cgi?id=923> under review
26 * <https://www.khronos.org/registry/spir-v/specs/unified1/OpenCL.ExtendedInstructionSet.100.html>
27 * [[power_trans_ops]] for opcode listing.
31 TODO: rename extension subsets -- we're not on RISC-V anymore.
33 * **Zftrans**: standard transcendentals (best suited to 3D)
34 * **ZftransExt**: extra functions (useful, not generally needed for 3D,
35 can be synthesised using Ztrans)
36 * **Ztrigpi**: trig. xxx-pi sinpi cospi tanpi
37 * **Ztrignpi**: trig non-xxx-pi sin cos tan
38 * **Zarctrigpi**: arc-trig. a-xxx-pi: atan2pi asinpi acospi
39 * **Zarctrignpi**: arc-trig. non-a-xxx-pi: atan2, asin, acos
40 * **Zfhyp**: hyperbolic/inverse-hyperbolic. sinh, cosh, tanh, asinh,
41 acosh, atanh (can be synthesised - see below)
42 * **ZftransAdv**: much more complex to implement in hardware
43 * **Zfrsqrt**: Reciprocal square-root.
45 Minimum recommended requirements for 3D: Zftrans, Ztrignpi,
46 Zarctrignpi, with Ztrigpi and Zarctrigpi as augmentations.
48 Minimum recommended requirements for Mobile-Embedded 3D:
49 Ztrignpi, Zftrans, with Ztrigpi as an augmentation.
51 The Platform Requirements for 3D are driven by cost competitive
52 factors and it is the Trademarked Vulkan Specification that provides
53 clear direction for 3D GPU markets, but nothing else (IEEE754).
54 Implementors must note that minimum
55 Compliance with the Third Party Vulkan Specification (for power-area competitive
56 reasons with other 3D GPU manufacturers) will not qualify for strict IEEE754 accuracy Compliance or vice-versa.
58 Implementors **must** make it clear which accuracy level is implemented and provide a switching mechanism and throw Illegal Instruction traps if fully compliant accuracy cannot be achieved.
59 It is also the Implementor's responsibility to comply with all Third Party Certification Marks and Trademarks (Vulkan, OpenCL). Nothing in this specification in any way implies that any Third Party Certification Mark Compliance is granted, nullified, altered or overridden by this document.
64 * Decision on accuracy, moved to [[zfpacc_proposal]]
65 <http://lists.libre-riscv.org/pipermail/libre-riscv-dev/2019-August/002355.html>
66 * Errors **MUST** be repeatable.
67 * How about four Platform Specifications? 3DUNIX, UNIX, 3DEmbedded and Embedded?
68 <http://lists.libre-riscv.org/pipermail/libre-riscv-dev/2019-August/002361.html>
69 Accuracy requirements for dual (triple) purpose implementations must
70 meet the higher standard.
71 * Reciprocal Square-root is in its own separate extension (Zfrsqrt) as
72 it is desirable on its own by other implementors. This to be evaluated.
74 # Requirements <a name="requirements"></a>
76 This proposal is designed to meet a wide range of extremely diverse
77 needs, allowing implementors from all of them to benefit from the tools
78 and hardware cost reductions associated with common standards adoption
79 in Power ISA (primarily IEEE754 and Vulkan).
81 **The use-cases are**:
84 * Numerical Computation
85 * (Potentially) A.I. / Machine-learning (1)
87 (1) although approximations suffice in this field, making it more likely
88 to use a custom extension. High-end ML would inherently definitely
91 **The power and die-area requirements vary from**:
93 * Ultra-low-power (smartwatches where GPU power budgets are in milliwatts)
94 * Mobile-Embedded (good performance with high efficiency for battery life)
96 * Server / HPC / Supercomputing
98 **The software requirements are**:
100 * Full public integration into GNU math libraries (libm)
101 * Full public integration into well-known Numerical Computation systems (numpy)
102 * Full public integration into upstream GNU and LLVM Compiler toolchains
103 * Full public integration into Khronos OpenCL SPIR-V compatible Compilers
104 seeking public Certification and Endorsement from the Khronos Group
105 under their Trademarked Certification Programme.
107 # Proposed Opcodes vs Khronos OpenCL vs IEEE754-2019<a name="khronos_equiv"></a>
109 This list shows the (direct) equivalence between proposed opcodes,
110 their Khronos OpenCL equivalents, and their IEEE754-2019 equivalents.
111 98% of the opcodes in this proposal that are in the IEEE754-2019 standard
112 are present in the Khronos Extended Instruction Set.
115 <https://www.khronos.org/registry/spir-v/specs/unified1/OpenCL.ExtendedInstructionSet.100.html>
116 and <https://ieeexplore.ieee.org/document/8766229>
118 * Special FP16 opcodes are *not* being proposed, except by indirect / inherent
119 use of elwidth overrides that is already present in the SVP64 Specification.
120 * "Native" opcodes are *not* being proposed: implementors will be expected
121 to use the (equivalent) proposed opcode covering the same function.
122 * "Fast" opcodes are *not* being proposed, because the Khronos Specification
123 fast\_length, fast\_normalise and fast\_distance OpenCL opcodes require
124 vectors (or can be done as scalar operations using other Power ISA
127 The OpenCL FP32 opcodes are **direct** equivalents to the proposed opcodes.
128 Deviation from conformance with the Khronos Specification - including the
129 Khronos Specification accuracy requirements - is not an option, as it
130 results in non-compliance, and the vendor may not use the Trademarked words
131 "Vulkan" etc. in conjunction with their product.
133 IEEE754-2019 Table 9.1 lists "additional mathematical operations".
134 Interestingly the only functions missing when compared to OpenCL are
135 compound, exp2m1, exp10m1, log2p1, log10p1, pown (integer power) and powr.
137 |opcode |OpenCL FP32|OpenCL FP16|OpenCL native|IEEE754 |Power ISA |My 66000 ISA |
138 |------------|-----------|-----------|-------------|-------------- |------------------------|-------------|
139 |fsin |sin |half\_sin |native\_sin |sin |NONE |sin |
140 |fcos |cos |half\_cos |native\_cos |cos |NONE |cos |
141 |ftan |tan |half\_tan |native\_tan |tan |NONE |tan |
142 |NONE (1) |sincos |NONE |NONE |NONE |NONE | |
143 |fasin |asin |NONE |NONE |asin |NONE |asin |
144 |facos |acos |NONE |NONE |acos |NONE |acos |
145 |fatan |atan |NONE |NONE |atan |NONE |atan |
146 |fsinpi |sinpi |NONE |NONE |sinPi |NONE |sinpi |
147 |fcospi |cospi |NONE |NONE |cosPi |NONE |cospi |
148 |ftanpi |tanpi |NONE |NONE |tanPi |NONE |tanpi |
149 |fasinpi |asinpi |NONE |NONE |asinPi |NONE |asinpi |
150 |facospi |acospi |NONE |NONE |acosPi |NONE |acospi |
151 |fatanpi |atanpi |NONE |NONE |atanPi |NONE |atanpi |
152 |fsinh |sinh |NONE |NONE |sinh |NONE | |
153 |fcosh |cosh |NONE |NONE |cosh |NONE | |
154 |ftanh |tanh |NONE |NONE |tanh |NONE | |
155 |fasinh |asinh |NONE |NONE |asinh |NONE | |
156 |facosh |acosh |NONE |NONE |acosh |NONE | |
157 |fatanh |atanh |NONE |NONE |atanh |NONE | |
158 |fatan2 |atan2 |NONE |NONE |atan2 |NONE |atan2 |
159 |fatan2pi |atan2pi |NONE |NONE |atan2pi |NONE |atan2pi |
160 |frsqrt |rsqrt |half\_rsqrt|native\_rsqrt|rSqrt |fsqrte, fsqrtes (4) |rsqrt |
161 |fcbrt |cbrt |NONE |NONE |NONE (2) |NONE | |
162 |fexp2 |exp2 |half\_exp2 |native\_exp2 |exp2 |NONE |exp2 |
163 |flog2 |log2 |half\_log2 |native\_log2 |log2 |NONE |ln2 |
164 |fexpm1 |expm1 |NONE |NONE |expm1 |NONE |expm1 |
165 |flog1p |log1p |NONE |NONE |logp1 |NONE |logp1 |
166 |fexp |exp |half\_exp |native\_exp |exp |NONE |exp |
167 |flog |log |half\_log |native\_log |log |NONE |ln |
168 |fexp10 |exp10 |half\_exp10|native\_exp10|exp10 |NONE |exp10 |
169 |flog10 |log10 |half\_log10|native\_log10|log10 |NONE |log |
170 |fpow |pow |NONE |NONE |pow |NONE |pow |
171 |fpown |pown |NONE |NONE |pown |NONE | |
172 |fpowr |powr |half\_powr |native\_powr |powr |NONE | |
173 |frootn |rootn |NONE |NONE |rootn |NONE | |
174 |fhypot |hypot |NONE |NONE |hypot |NONE | |
175 |frecip |NONE |half\_recip|native\_recip|NONE (3) |fre, fres (4) |rcp |
176 |NONE |NONE |NONE |NONE |compound |NONE | |
177 |fexp2m1 |NONE |NONE |NONE |exp2m1 |NONE |exp2m1 |
178 |fexp10m1 |NONE |NONE |NONE |exp10m1 |NONE |exp10m1 |
179 |flog2p1 |NONE |NONE |NONE |log2p1 |NONE |ln2p1 |
180 |flog10p1 |NONE |NONE |NONE |log10p1 |NONE |logp1 |
181 |fminnum08 |fmin |fmin |NONE |minNum |xsmindp (5) | |
182 |fmaxnum08 |fmax |fmax |NONE |maxNum |xsmaxdp (5) | |
183 |fmin19 |fmin |fmin |NONE |minimum |NONE |fmin |
184 |fmax19 |fmax |fmax |NONE |maximum |NONE |fmax |
185 |fminnum19 |fmin |fmin |NONE |minimumNumber |vminfp (6), xsminjdp (5)| |
186 |fmaxnum19 |fmax |fmax |NONE |maximumNumber |vmaxfp (6), xsmaxjdp (5)| |
187 |fminc |fmin |fmin |NONE |NONE |xsmincdp (5) |fmin* |
188 |fmaxc |fmax |fmax |NONE |NONE |xsmaxcdp (5) |fmax* |
189 |fminmagnum08|minmag |minmag |NONE |minNumMag |NONE | |
190 |fmaxmagnum08|maxmag |maxmag |NONE |maxNumMag |NONE | |
191 |fminmag19 |minmag |minmag |NONE |minimumMagnitude |NONE | |
192 |fmaxmag19 |maxmag |maxmag |NONE |maximumMagnitude |NONE | |
193 |fminmagnum19|minmag |minmag |NONE |minimumMagnitudeNumber|NONE | |
194 |fmaxmagnum19|maxmag |maxmag |NONE |maximumMagnitudeNumber|NONE | |
195 |fminmagc |minmag |minmag |NONE |NONE |NONE | |
196 |fmaxmagc |maxmag |maxmag |NONE |NONE |NONE | |
197 |fmod |fmod |fmod | |NONE |NONE | |
198 |fremainder |remainder |remainder | |remainder |NONE | |
202 * Brian's LLVM compiler converts fminc and fmaxc into fmin and fmax instructions
203 These are all IEEE 754-2019 compliant
204 These are native instructions not extensions
205 All listed functions are available in both F32 and F64 formats.
206 THere is some confusion (in my head) abouot fmin and fmax. I intend both instruction to perform 754-2019 semantics--
207 but I don know if this is minimum/maximum or minimumNumber/maximumNumber.
208 fmad and remainder are a 2-instruction sequence--don't know how to "edit it in"
211 Note (1) fsincos is macro-op fused (see below).
213 Note (2) synthesised in IEEE754-2019 as "rootn(x, 3)"
215 Note (3) synthesised in IEEE754-2019 using "1.0 / x"
217 Note (4) these are estimate opcodes that help accelerate
220 Note (5) f64-only (though can be used on f32 stored in f64 format), requires VSX.
222 Note (6) 4xf32-only, requires VMX.
224 ## List of 2-arg opcodes
226 | opcode | Description | pseudocode | Extension |
227 | ------ | ---------------- | ---------------- | ----------- |
228 | fatan2 | atan2 arc tangent | FRT = atan2(FRB, FRA) | Zarctrignpi |
229 | fatan2pi | atan2 arc tangent / pi | FRT = atan2(FRB, FRA) / pi | Zarctrigpi |
230 | fpow | x power of y | FRT = pow(FRA, FRB) | ZftransAdv |
231 | fpown | x power of n (n int) | FRT = pow(FRA, RB) | ZftransAdv |
232 | fpowr | x power of y (x +ve) | FRT = exp(FRA log(FRB)) | ZftransAdv |
233 | frootn | x power 1/n (n integer) | FRT = pow(FRA, 1/RB) | ZftransAdv |
234 | fhypot | hypotenuse | FRT = sqrt(FRA^2 + FRB^2) | ZftransAdv |
235 | fminnum08 | IEEE 754-2008 minNum | FRT = minNum(FRA, FRB) (1) | TBD |
236 | fmaxnum08 | IEEE 754-2008 maxNum | FRT = maxNum(FRA, FRB) (1) | TBD |
237 | fmin19 | IEEE 754-2019 minimum | FRT = minimum(FRA, FRB) | TBD |
238 | fmax19 | IEEE 754-2019 maximum | FRT = maximum(FRA, FRB) | TBD |
239 | fminnum19 | IEEE 754-2019 minimumNumber | FRT = minimumNumber(FRA, FRB) | TBD |
240 | fmaxnum19 | IEEE 754-2019 maximumNumber | FRT = maximumNumber(FRA, FRB) | TBD |
241 | fminc | C ternary-op minimum | FRT = FRA \< FRB ? FRA : FRB | TBD |
242 | fmaxc | C ternary-op maximum | FRT = FRA > FRB ? FRA : FRB | TBD |
243 | fminmagnum08 | IEEE 754-2008 minNumMag | FRT = minmaxmag(FRA, FRB, False, fminnum08) (2)| TBD |
244 | fmaxmagnum08 | IEEE 754-2008 maxNumMag | FRT = minmaxmag(FRA, FRB, True, fmaxnum08) (2) | TBD |
245 | fminmag19 | IEEE 754-2019 minimumMagnitude | FRT = minmaxmag(FRA, FRB, False, fmin19) (2) | TBD |
246 | fmaxmag19 | IEEE 754-2019 maximumMagnitude | FRT = minmaxmag(FRA, FRB, True, fmax19) (2) | TBD |
247 | fminmagnum19 | IEEE 754-2019 minimumMagnitudeNumber | FRT = minmaxmag(FRA, FRB, False, fminnum19) (2)| TBD |
248 | fmaxmagnum19 | IEEE 754-2019 maximumMagnitudeNumber | FRT = minmaxmag(FRA, FRB, True, fmaxnum19) (2) | TBD |
249 | fminmagc | C ternary-op minimum magnitude | FRT = minmaxmag(FRA, FRB, False, fminc) (2) | TBD |
250 | fmaxmagc | C ternary-op maximum magnitude | FRT = minmaxmag(FRA, FRB, True, fmaxc) (2) | TBD |
251 | fmod | modulus | FRT = fmod(FRA, FRB) | TBD |
252 | fremainder | IEEE 754 remainder | FRT = remainder(FRA, FRB) | TBD |
254 Note (1): for the purposes of minNum/maxNum, -0.0 is defined to be less than +0.0. This is left unspecified in IEEE 754-2008.
256 Note (2): minmaxmag(x, y, cmp, fallback) is defined as:
259 def minmaxmag(x, y, is_max, fallback):
268 # equal magnitudes, or NaN input(s)
269 return fallback(x, y)
272 ## List of 1-arg transcendental opcodes
274 | opcode | Description | pseudocode | Extension |
275 | ------ | ---------------- | ---------------- | ---------- |
276 | frsqrt | Reciprocal Square-root | FRT = sqrt(FRA) | Zfrsqrt |
277 | fcbrt | Cube Root | FRT = pow(FRA, 1.0 / 3) | ZftransAdv |
278 | frecip | Reciprocal | FRT = 1.0 / FRA | Zftrans |
279 | fexp2m1 | power-2 minus 1 | FRT = pow(2, FRA) - 1.0 | ZftransExt |
280 | flog2p1 | log2 plus 1 | FRT = log(2, 1 + FRA) | ZftransExt |
281 | fexp2 | power-of-2 | FRT = pow(2, FRA) | Zftrans |
282 | flog2 | log2 | FRT = log(2. FRA) | Zftrans |
283 | fexpm1 | exponential minus 1 | FRT = pow(e, FRA) - 1.0 | ZftransExt |
284 | flog1p | log plus 1 | FRT = log(e, 1 + FRA) | ZftransExt |
285 | fexp | exponential | FRT = pow(e, FRA) | ZftransExt |
286 | flog | natural log (base e) | FRT = log(e, FRA) | ZftransExt |
287 | fexp10m1 | power-10 minus 1 | FRT = pow(10, FRA) - 1.0 | ZftransExt |
288 | flog10p1 | log10 plus 1 | FRT = log(10, 1 + FRA) | ZftransExt |
289 | fexp10 | power-of-10 | FRT = pow(10, FRA) | ZftransExt |
290 | flog10 | log base 10 | FRT = log(10, FRA) | ZftransExt |
292 ## List of 1-arg trigonometric opcodes
294 | opcode | Description | pseudocode | Extension |
295 | -------- | ------------------------ | ------------------------ | ----------- |
296 | fsin | sin (radians) | FRT = sin(FRA) | Ztrignpi |
297 | fcos | cos (radians) | FRT = cos(FRA) | Ztrignpi |
298 | ftan | tan (radians) | FRT = tan(FRA) | Ztrignpi |
299 | fasin | arcsin (radians) | FRT = asin(FRA) | Zarctrignpi |
300 | facos | arccos (radians) | FRT = acos(FRA) | Zarctrignpi |
301 | fatan | arctan (radians) | FRT = atan(FRA) | Zarctrignpi |
302 | fsinpi | sin times pi | FRT = sin(pi * FRA) | Ztrigpi |
303 | fcospi | cos times pi | FRT = cos(pi * FRA) | Ztrigpi |
304 | ftanpi | tan times pi | FRT = tan(pi * FRA) | Ztrigpi |
305 | fasinpi | arcsin / pi | FRT = asin(FRA) / pi | Zarctrigpi |
306 | facospi | arccos / pi | FRT = acos(FRA) / pi | Zarctrigpi |
307 | fatanpi | arctan / pi | FRT = atan(FRA) / pi | Zarctrigpi |
308 | fsinh | hyperbolic sin (radians) | FRT = sinh(FRA) | Zfhyp |
309 | fcosh | hyperbolic cos (radians) | FRT = cosh(FRA) | Zfhyp |
310 | ftanh | hyperbolic tan (radians) | FRT = tanh(FRA) | Zfhyp |
311 | fasinh | inverse hyperbolic sin | FRT = asinh(FRA) | Zfhyp |
312 | facosh | inverse hyperbolic cos | FRT = acosh(FRA) | Zfhyp |
313 | fatanh | inverse hyperbolic tan | FRT = atanh(FRA) | Zfhyp |
315 [[!inline pages="openpower/power_trans_ops" raw=yes ]]
319 The full set is based on the Khronos OpenCL opcodes. If implemented
320 entirely it would be too much for both Embedded and also 3D.
322 The subsets are organised by hardware complexity, need (3D, HPC), however
323 due to synthesis producing inaccurate results at the range limits,
324 the less common subsets are still required for IEEE754 HPC.
326 MALI Midgard, an embedded / mobile 3D GPU, for example only has the
330 F0 - frcp (reciprocal)
331 F2 - frsqrt (inverse square root, 1/sqrt(x))
332 F3 - fsqrt (square root)
339 These in FP32 and FP16 only: no FP64 hardware, at all.
341 Vivante Embedded/Mobile 3D (etnaviv
342 <https://github.com/laanwj/etna_viv/blob/master/rnndb/isa.xml>)
343 only has the following:
351 It also has fast variants of some of these, as a CSR Mode.
353 AMD's R600 GPU (R600\_Instruction\_Set\_Architecture.pdf) and the
354 RDNA ISA (RDNA\_Shader\_ISA\_5August2019.pdf, Table 22, Section 6.3) have:
364 AMD RDNA has F16 and F32 variants of all the above, and also has F64
365 variants of SQRT, RSQRT and RECIP. It is interesting that even the
366 modern high-end AMD GPU does not have TAN or ATAN, where MALI Midgard
369 Also a general point, that customised optimised hardware targetting
370 FP32 3D with less accuracy simply can neither be used for IEEE754 nor
371 for FP64 (except as a starting point for hardware or software driven
372 Newton Raphson or other iterative method).
374 Also in cost/area sensitive applications even the extra ROM lookup tables
375 for certain algorithms may be too costly.
377 These wildly differing and incompatible driving factors lead to the
378 subset subdivisions, below.
380 ## Transcendental Subsets
384 LOG2 EXP2 RECIP RSQRT
386 Zftrans contains the minimum standard transcendentals best suited to
387 3D. They are also the minimum subset for synthesising log10, exp10,
388 exp1m, log1p, the hyperbolic trigonometric functions sinh and so on.
390 They are therefore considered "base" (essential) transcendentals.
394 LOG, EXP, EXP10, LOG10, LOGP1, EXP1M
396 These are extra transcendental functions that are useful, not generally
397 needed for 3D, however for Numerical Computation they may be useful.
399 Although they can be synthesised using Ztrans (LOG2 multiplied
400 by a constant), there is both a performance penalty as well as an
401 accuracy penalty towards the limits, which for IEEE754 compliance is
402 unacceptable. In particular, LOG(1+FRA) in hardware may give much better
403 accuracy at the lower end (very small FRA) than LOG(FRA).
405 Their forced inclusion would be inappropriate as it would penalise
406 embedded systems with tight power and area budgets. However if they
407 were completely excluded the HPC applications would be penalised on
408 performance and accuracy.
410 Therefore they are their own subset extension.
414 SINH, COSH, TANH, ASINH, ACOSH, ATANH
416 These are the hyperbolic/inverse-hyperbolic functions. Their use in 3D
419 They can all be synthesised using LOG, SQRT and so on, so depend
420 on Zftrans. However, once again, at the limits of the range, IEEE754
421 compliance becomes impossible, and thus a hardware implementation may
424 HPC and high-end GPUs are likely markets for these.
428 CBRT, POW, POWN, POWR, ROOTN
430 These are simply much more complex to implement in hardware, and typically
431 will only be put into HPC applications.
433 * **Zfrsqrt**: Reciprocal square-root.
435 ## Trigonometric subsets
437 ### Ztrigpi vs Ztrignpi
439 * **Ztrigpi**: SINPI COSPI TANPI
440 * **Ztrignpi**: SIN COS TAN
442 Ztrignpi are the basic trigonometric functions through which all others
443 could be synthesised, and they are typically the base trigonometrics
444 provided by GPUs for 3D, warranting their own subset.
446 (programmerjake: actually, all other GPU ISAs mentioned in this document have sinpi/cospi or equivalent, and often not sin/cos, because sinpi/cospi are actually *waay* easier to implement because range reduction is simply a bitwise mask, whereas for sin/cos range reduction is a full division by pi)
448 (Mitch: My patent USPTO 10,761,806 shows that the above statement is no longer true.)
451 In the case of the Ztrigpi subset, these are commonly used in for loops
452 with a power of two number of subdivisions, and the cost of multiplying
453 by PI inside each loop (or cumulative addition, resulting in cumulative
454 errors) is not acceptable.
456 In for example CORDIC the multiplication by PI may be moved outside of
457 the hardware algorithm as a loop invariant, with no power or area penalty.
459 Again, therefore, if SINPI (etc.) were excluded, programmers would be
460 penalised by being forced to divide by PI in some circumstances. Likewise
461 if SIN were excluded, programmers would be penaslised by being forced
462 to *multiply* by PI in some circumstances.
464 Thus again, a slightly different application of the same general argument
465 applies to give Ztrignpi and Ztrigpi as subsets. 3D GPUs will almost
466 certainly provide both.
468 ### Zarctrigpi and Zarctrignpi
470 * **Zarctrigpi**: ATAN2PI ASINPI ACOSPI
471 * **Zarctrignpi**: ATAN2 ACOS ASIN
473 These are extra trigonometric functions that are useful in some
474 applications, but even for 3D GPUs, particularly embedded and mobile class
475 GPUs, they are not so common and so are typically synthesised, there.
477 Although they can be synthesised using Ztrigpi and Ztrignpi, there is,
478 once again, both a performance penalty as well as an accuracy penalty
479 towards the limits, which for IEEE754 compliance is unacceptable, yet
480 is acceptable for 3D.
482 Therefore they are their own subset extensions.
484 # Synthesis, Pseudo-code ops and macro-ops
486 The pseudo-ops are best left up to the compiler rather than being actual
487 pseudo-ops, by allocating one scalar FP register for use as a constant
488 (loop invariant) set to "1.0" at the beginning of a function or other
491 * fsincos - fused macro-op between fsin and fcos (issued in that order).
492 * fsincospi - fused macro-op between fsinpi and fcospi (issued in that order).
494 fatanpi example pseudo-code:
496 fmvis ft0, 0x3F80 // upper bits of f32 1.0 (BF16)
497 fatan2pis FRT, FRA, ft0
499 Hyperbolic function example (obviates need for Zfhyp except for
500 high-performance or correctly-rounding):
502 ASINH( x ) = ln( x + SQRT(x**2+1))
504 # Evaluation and commentary
506 Moved to [[discussion]]