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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-07 19:33:14 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-07 19:33:14 +0000 |
commit | 36d22d82aa202bb199967e9512281e9a53db42c9 (patch) | |
tree | 105e8c98ddea1c1e4784a60a5a6410fa416be2de /third_party/highway/README.md | |
parent | Initial commit. (diff) | |
download | firefox-esr-36d22d82aa202bb199967e9512281e9a53db42c9.tar.xz firefox-esr-36d22d82aa202bb199967e9512281e9a53db42c9.zip |
Adding upstream version 115.7.0esr.upstream/115.7.0esr
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
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-rw-r--r-- | third_party/highway/README.md | 354 |
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diff --git a/third_party/highway/README.md b/third_party/highway/README.md new file mode 100644 index 0000000000..4772e615a7 --- /dev/null +++ b/third_party/highway/README.md @@ -0,0 +1,354 @@ +# Efficient and performance-portable vector software + +[//]: # (placeholder, do not remove) + +Highway is a C++ library that provides portable SIMD/vector intrinsics. + +## Why + +We are passionate about high-performance software. We see major untapped +potential in CPUs (servers, mobile, desktops). Highway is for engineers who want +to reliably and economically push the boundaries of what is possible in +software. + +## How + +CPUs provide SIMD/vector instructions that apply the same operation to multiple +data items. This can reduce energy usage e.g. *fivefold* because fewer +instructions are executed. We also often see *5-10x* speedups. + +Highway makes SIMD/vector programming practical and workable according to these +guiding principles: + +**Does what you expect**: Highway is a C++ library with carefully-chosen +functions that map well to CPU instructions without extensive compiler +transformations. The resulting code is more predictable and robust to code +changes/compiler updates than autovectorization. + +**Works on widely-used platforms**: Highway supports four architectures; the +same application code can target eight instruction sets, including those with +'scalable' vectors (size unknown at compile time). Highway only requires C++11 +and supports four families of compilers. If you would like to use Highway on +other platforms, please raise an issue. + +**Flexible to deploy**: Applications using Highway can run on heterogeneous +clouds or client devices, choosing the best available instruction set at +runtime. Alternatively, developers may choose to target a single instruction set +without any runtime overhead. In both cases, the application code is the same +except for swapping `HWY_STATIC_DISPATCH` with `HWY_DYNAMIC_DISPATCH` plus one +line of code. + +**Suitable for a variety of domains**: Highway provides an extensive set of +operations, used for image processing (floating-point), compression, video +analysis, linear algebra, cryptography, sorting and random generation. We +recognise that new use-cases may require additional ops and are happy to add +them where it makes sense (e.g. no performance cliffs on some architectures). If +you would like to discuss, please file an issue. + +**Rewards data-parallel design**: Highway provides tools such as Gather, +MaskedLoad, and FixedTag to enable speedups for legacy data structures. However, +the biggest gains are unlocked by designing algorithms and data structures for +scalable vectors. Helpful techniques include batching, structure-of-array +layouts, and aligned/padded allocations. + +## Examples + +Online demos using Compiler Explorer: + +- [multiple targets with dynamic dispatch](https://gcc.godbolt.org/z/zP7MYe9Yf) + (recommended) +- [single target using -m flags](https://gcc.godbolt.org/z/rGnjMevKG) + +Projects using Highway: (to add yours, feel free to raise an issue or contact us +via the below email) + +* [iresearch database index](https://github.com/iresearch-toolkit/iresearch/blob/e7638e7a4b99136ca41f82be6edccf01351a7223/core/utils/simd_utils.hpp) +* [JPEG XL image codec](https://github.com/libjxl/libjxl) +* [Grok JPEG 2000 image codec](https://github.com/GrokImageCompression/grok) +* [vectorized Quicksort](https://github.com/google/highway/tree/master/hwy/contrib/sort) ([paper](https://arxiv.org/abs/2205.05982)) + +## Current status + +### Targets + +Supported targets: scalar, S-SSE3, SSE4, AVX2, AVX-512, AVX3_DL (~Icelake, +requires opt-in by defining `HWY_WANT_AVX3_DL`), NEON (ARMv7 and v8), SVE, SVE2, +WASM SIMD, RISC-V V. + +`HWY_WASM_EMU256` is a 2x unrolled version of wasm128 and is enabled if +`HWY_WANT_WASM2` is defined. This will remain supported until it is potentially +superseded by a future version of WASM. + +SVE was initially tested using farm_sve (see acknowledgments). + +### Versioning + +Highway releases aim to follow the semver.org system (MAJOR.MINOR.PATCH), +incrementing MINOR after backward-compatible additions and PATCH after +backward-compatible fixes. We recommend using releases (rather than the Git tip) +because they are tested more extensively, see below. + +The current version 1.0 signals an increased focus on backwards compatibility. +Applications using documented functionality will remain compatible with future +updates that have the same major version number. + +### Testing + +Continuous integration tests build with a recent version of Clang (running on +native x86, or QEMU for RVV and ARM) and MSVC 2019 (v19.28, running on native +x86). + +Before releases, we also test on x86 with Clang and GCC, and ARMv7/8 via GCC +cross-compile. See the [testing process](g3doc/release_testing_process.md) for +details. + +### Related modules + +The `contrib` directory contains SIMD-related utilities: an image class with +aligned rows, a math library (16 functions already implemented, mostly +trigonometry), and functions for computing dot products and sorting. + +### Other libraries + +If you only require x86 support, you may also use Agner Fog's +[VCL vector class library](https://github.com/vectorclass). It includes many +functions including a complete math library. + +If you have existing code using x86/NEON intrinsics, you may be interested in +[SIMDe](https://github.com/simd-everywhere/simde), which emulates those +intrinsics using other platforms' intrinsics or autovectorization. + +## Installation + +This project uses CMake to generate and build. In a Debian-based system you can +install it via: + +```bash +sudo apt install cmake +``` + +Highway's unit tests use [googletest](https://github.com/google/googletest). +By default, Highway's CMake downloads this dependency at configuration time. +You can disable this by setting the `HWY_SYSTEM_GTEST` CMake variable to ON and +installing gtest separately: + +```bash +sudo apt install libgtest-dev +``` + +Running cross-compiled tests requires support from the OS, which on Debian is +provided by the `qemu-user-binfmt` package. + +To build Highway as a shared or static library (depending on BUILD_SHARED_LIBS), +the standard CMake workflow can be used: + +```bash +mkdir -p build && cd build +cmake .. +make -j && make test +``` + +Or you can run `run_tests.sh` (`run_tests.bat` on Windows). + +Bazel is also supported for building, but it is not as widely used/tested. + +When building for Arm v7, a limitation of current compilers requires you to add +`-DHWY_CMAKE_ARM7:BOOL=ON` to the CMake command line; see #834 and #1032. We +understand that work is underway to remove this limitation. + +## Quick start + +You can use the `benchmark` inside examples/ as a starting point. + +A [quick-reference page](g3doc/quick_reference.md) briefly lists all operations +and their parameters, and the [instruction_matrix](g3doc/instruction_matrix.pdf) +indicates the number of instructions per operation. + +The [FAQ](g3doc/faq.md) answers questions about portability, API design and +where to find more information. + +We recommend using full SIMD vectors whenever possible for maximum performance +portability. To obtain them, pass a `ScalableTag<float>` (or equivalently +`HWY_FULL(float)`) tag to functions such as `Zero/Set/Load`. There are two +alternatives for use-cases requiring an upper bound on the lanes: + +- For up to `N` lanes, specify `CappedTag<T, N>` or the equivalent + `HWY_CAPPED(T, N)`. The actual number of lanes will be `N` rounded down to + the nearest power of two, such as 4 if `N` is 5, or 8 if `N` is 8. This is + useful for data structures such as a narrow matrix. A loop is still required + because vectors may actually have fewer than `N` lanes. + +- For exactly a power of two `N` lanes, specify `FixedTag<T, N>`. The largest + supported `N` depends on the target, but is guaranteed to be at least + `16/sizeof(T)`. + +Due to ADL restrictions, user code calling Highway ops must either: +* Reside inside `namespace hwy { namespace HWY_NAMESPACE {`; or +* prefix each op with an alias such as `namespace hn = hwy::HWY_NAMESPACE; + hn::Add()`; or +* add using-declarations for each op used: `using hwy::HWY_NAMESPACE::Add;`. + +Additionally, each function that calls Highway ops (such as `Load`) must either +be prefixed with `HWY_ATTR`, OR reside between `HWY_BEFORE_NAMESPACE()` and +`HWY_AFTER_NAMESPACE()`. Lambda functions currently require `HWY_ATTR` before +their opening brace. + +The entry points into code using Highway differ slightly depending on whether +they use static or dynamic dispatch. + +* For static dispatch, `HWY_TARGET` will be the best available target among + `HWY_BASELINE_TARGETS`, i.e. those allowed for use by the compiler (see + [quick-reference](g3doc/quick_reference.md)). Functions inside + `HWY_NAMESPACE` can be called using `HWY_STATIC_DISPATCH(func)(args)` within + the same module they are defined in. You can call the function from other + modules by wrapping it in a regular function and declaring the regular + function in a header. + +* For dynamic dispatch, a table of function pointers is generated via the + `HWY_EXPORT` macro that is used by `HWY_DYNAMIC_DISPATCH(func)(args)` to + call the best function pointer for the current CPU's supported targets. A + module is automatically compiled for each target in `HWY_TARGETS` (see + [quick-reference](g3doc/quick_reference.md)) if `HWY_TARGET_INCLUDE` is + defined and `foreach_target.h` is included. + +When using dynamic dispatch, `foreach_target.h` is included from translation +units (.cc files), not headers. Headers containing vector code shared between +several translation units require a special include guard, for example the +following taken from `examples/skeleton-inl.h`: + +``` +#if defined(HIGHWAY_HWY_EXAMPLES_SKELETON_INL_H_) == defined(HWY_TARGET_TOGGLE) +#ifdef HIGHWAY_HWY_EXAMPLES_SKELETON_INL_H_ +#undef HIGHWAY_HWY_EXAMPLES_SKELETON_INL_H_ +#else +#define HIGHWAY_HWY_EXAMPLES_SKELETON_INL_H_ +#endif + +#include "hwy/highway.h" +// Your vector code +#endif +``` + +By convention, we name such headers `-inl.h` because their contents (often +function templates) are usually inlined. + +## Compiler flags + +Applications should be compiled with optimizations enabled - without inlining, +SIMD code may slow down by factors of 10 to 100. For clang and GCC, `-O2` is +generally sufficient. + +For MSVC, we recommend compiling with `/Gv` to allow non-inlined functions to +pass vector arguments in registers. If intending to use the AVX2 target together +with half-width vectors (e.g. for `PromoteTo`), it is also important to compile +with `/arch:AVX2`. This seems to be the only way to generate VEX-encoded SSE4 +instructions on MSVC. Otherwise, mixing VEX-encoded AVX2 instructions and +non-VEX SSE4 may cause severe performance degradation. Unfortunately, the +resulting binary will then require AVX2. Note that no such flag is needed for +clang and GCC because they support target-specific attributes, which we use to +ensure proper VEX code generation for AVX2 targets. + +## Strip-mining loops + +To vectorize a loop, "strip-mining" transforms it into an outer loop and inner +loop with number of iterations matching the preferred vector width. + +In this section, let `T` denote the element type, `d = ScalableTag<T>`, `count` +the number of elements to process, and `N = Lanes(d)` the number of lanes in a +full vector. Assume the loop body is given as a function `template<bool partial, +class D> void LoopBody(D d, size_t index, size_t max_n)`. + +Highway offers several ways to express loops where `N` need not divide `count`: + +* Ensure all inputs/outputs are padded. Then the loop is simply + + ``` + for (size_t i = 0; i < count; i += N) LoopBody<false>(d, i, 0); + ``` + Here, the template parameter and second function argument are not needed. + + This is the preferred option, unless `N` is in the thousands and vector + operations are pipelined with long latencies. This was the case for + supercomputers in the 90s, but nowadays ALUs are cheap and we see most + implementations split vectors into 1, 2 or 4 parts, so there is little cost + to processing entire vectors even if we do not need all their lanes. Indeed + this avoids the (potentially large) cost of predication or partial + loads/stores on older targets, and does not duplicate code. + +* Process whole vectors and include previously processed elements + in the last vector: + ``` + for (size_t i = 0; i < count; i += N) LoopBody<false>(d, HWY_MIN(i, count - N), 0); + ``` + + This is the second preferred option provided that `count >= N` + and `LoopBody` is idempotent. Some elements might be processed twice, but + a single code path and full vectorization is usually worth it. Even if + `count < N`, it usually makes sense to pad inputs/outputs up to `N`. + +* Use the `Transform*` functions in hwy/contrib/algo/transform-inl.h. This + takes care of the loop and remainder handling and you simply define a + generic lambda function (C++14) or functor which receives the current vector + from the input/output array, plus optionally vectors from up to two extra + input arrays, and returns the value to write to the input/output array. + + Here is an example implementing the BLAS function SAXPY (`alpha * x + y`): + + ``` + Transform1(d, x, n, y, [](auto d, const auto v, const auto v1) HWY_ATTR { + return MulAdd(Set(d, alpha), v, v1); + }); + ``` + +* Process whole vectors as above, followed by a scalar loop: + + ``` + size_t i = 0; + for (; i + N <= count; i += N) LoopBody<false>(d, i, 0); + for (; i < count; ++i) LoopBody<false>(CappedTag<T, 1>(), i, 0); + ``` + The template parameter and second function arguments are again not needed. + + This avoids duplicating code, and is reasonable if `count` is large. + If `count` is small, the second loop may be slower than the next option. + +* Process whole vectors as above, followed by a single call to a modified + `LoopBody` with masking: + + ``` + size_t i = 0; + for (; i + N <= count; i += N) { + LoopBody<false>(d, i, 0); + } + if (i < count) { + LoopBody<true>(d, i, count - i); + } + ``` + Now the template parameter and third function argument can be used inside + `LoopBody` to non-atomically 'blend' the first `num_remaining` lanes of `v` + with the previous contents of memory at subsequent locations: + `BlendedStore(v, FirstN(d, num_remaining), d, pointer);`. Similarly, + `MaskedLoad(FirstN(d, num_remaining), d, pointer)` loads the first + `num_remaining` elements and returns zero in other lanes. + + This is a good default when it is infeasible to ensure vectors are padded, + but is only safe `#if !HWY_MEM_OPS_MIGHT_FAULT`! + In contrast to the scalar loop, only a single final iteration is needed. + The increased code size from two loop bodies is expected to be worthwhile + because it avoids the cost of masking in all but the final iteration. + +## Additional resources + +* [Highway introduction (slides)](g3doc/highway_intro.pdf) +* [Overview of instructions per operation on different architectures](g3doc/instruction_matrix.pdf) +* [Design philosophy and comparison](g3doc/design_philosophy.md) +* [Implementation details](g3doc/impl_details.md) + +## Acknowledgments + +We have used [farm-sve](https://gitlab.inria.fr/bramas/farm-sve) by Berenger +Bramas; it has proved useful for checking the SVE port on an x86 development +machine. + +This is not an officially supported Google product. +Contact: janwas@google.com |