mirror of
https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
014f12f11a
Add the operator interface needed for GPU iterative solvers: - BLAS Level-1 on DeviceMatrix: dot(), norm(), squaredNorm(), setZero(), noalias(), operator+=/-=/\*= dispatching to cuBLAS axpy/scal/dot/nrm2. - DeviceScalar<Scalar>: device-resident scalar returned by reductions. Defers host sync until value is read (implicit conversion). Device-side division via NPP for real types. - GpuContext: stream-borrowing constructor, setThreadLocal(), cublasLtHandle(), cusparseHandle(). - GEMM upgraded from cublasGemmEx to cublasLtMatmul with heuristic algorithm selection and plan caching. - GpuSparseContext: GpuContext& constructor for same-stream execution, deviceView() returning DeviceSparseView with operator* for device-resident SpMV (d_y = d_A * d_x). - geam expressions: d_C = d_A + alpha * d_B via cublasXgeam. - GpuSVD::matrixV() convenience wrapper. These additions make DeviceMatrix usable as a VectorType in Eigen algorithm templates. Conjugate gradient is the motivating example and is tested against CPU ConjugateGradient for correctness. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
73 lines
2.1 KiB
Plaintext
73 lines
2.1 KiB
Plaintext
// This file is part of Eigen, a lightweight C++ template library
|
|
// for linear algebra.
|
|
//
|
|
// This Source Code Form is subject to the terms of the Mozilla
|
|
// Public License v. 2.0. If a copy of the MPL was not distributed
|
|
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
|
|
|
|
#ifndef EIGEN_GPU_MODULE_H
|
|
#define EIGEN_GPU_MODULE_H
|
|
|
|
#include "Core"
|
|
|
|
#include "src/Core/util/DisableStupidWarnings.h"
|
|
|
|
/** \defgroup GPU_Module GPU module
|
|
*
|
|
* GPU-accelerated solvers and operations using NVIDIA CUDA libraries
|
|
* (cuSOLVER, cuBLAS, cuSPARSE, cuFFT, cuDSS).
|
|
*
|
|
* This module provides explicit GPU solver classes that coexist with Eigen's
|
|
* CPU solvers. Unlike the LAPACKE dispatch (which replaces the CPU
|
|
* implementation globally), GPU classes are separate types the user
|
|
* instantiates by choice:
|
|
*
|
|
* \code
|
|
* #define EIGEN_USE_GPU
|
|
* #include <Eigen/GPU>
|
|
*
|
|
* // CPU path (unchanged)
|
|
* Eigen::LLT<Eigen::MatrixXd> llt_cpu(A);
|
|
*
|
|
* // GPU path (explicit)
|
|
* Eigen::GpuLLT<double> llt_gpu(A); // L stays on device
|
|
* auto X = llt_gpu.solve(B); // only B transferred per solve
|
|
* \endcode
|
|
*
|
|
* Requires CUDA 11.4+. See CLAUDE.md.
|
|
*/
|
|
|
|
#ifdef EIGEN_USE_GPU
|
|
// IWYU pragma: begin_exports
|
|
#include "src/GPU/DeviceScalar.h"
|
|
#include "src/GPU/DeviceMatrix.h"
|
|
#include "src/GPU/GpuContext.h"
|
|
#include "src/GPU/DeviceExpr.h"
|
|
#include "src/GPU/DeviceBlasExpr.h"
|
|
#include "src/GPU/DeviceSolverExpr.h"
|
|
#include "src/GPU/DeviceDispatch.h"
|
|
#include "src/GPU/GpuLLT.h"
|
|
#include "src/GPU/GpuLU.h"
|
|
#include "src/GPU/GpuQR.h"
|
|
#include "src/GPU/GpuSVD.h"
|
|
#include "src/GPU/GpuEigenSolver.h"
|
|
#include "src/GPU/CuFftSupport.h"
|
|
#include "src/GPU/GpuFFT.h"
|
|
#include "src/GPU/CuSparseSupport.h"
|
|
#ifdef EIGEN_SPARSECORE_MODULE_H
|
|
#include "src/GPU/GpuSparseContext.h"
|
|
#endif
|
|
#if defined(EIGEN_CUDSS) && defined(EIGEN_SPARSECORE_MODULE_H)
|
|
#include "src/GPU/CuDssSupport.h"
|
|
#include "src/GPU/GpuSparseSolverBase.h"
|
|
#include "src/GPU/GpuSparseLLT.h"
|
|
#include "src/GPU/GpuSparseLDLT.h"
|
|
#include "src/GPU/GpuSparseLU.h"
|
|
#endif
|
|
// IWYU pragma: end_exports
|
|
#endif
|
|
|
|
#include "src/Core/util/ReenableStupidWarnings.h"
|
|
|
|
#endif // EIGEN_GPU_MODULE_H
|