WebCUDA Python is supported on all platforms that CUDA is supported. Specific dependencies are as follows: Driver: Linux (450.80.02 or later) Windows (456.38 or later) CUDA Toolkit 12.0 to 12.1 Python 3.8 to 3.11 Only the NVRTC redistributable component is required from the CUDA Toolkit. Webcublas This Haskell library provides FFI bindings for the CUBLAS , CUSPARSE, and CuFFT CUDA C libraries. Template Haskell and language-c are used to automatically parse the C headers for the libraries and create the proper FFI declarations. The main interfaces to use are Foreign.CUDA.Cublas for CUBLAS and Foreign.CUDA.Cusparse for CUSPARSE.
GitHub - sol-prog/cuda_cublas_curand_thrust
WebGitHub - JuliaAttic/CUBLAS.jl: Julia interface to CUBLAS Skip to content Product Solutions Open Source Pricing Sign in Sign up This repository has been archived by the owner before Nov 9, 2024. It is now read-only. JuliaAttic / CUBLAS.jl Public archive Notifications Fork 19 Star 25 Code Issues 5 Pull requests 5 Actions Projects Wiki Security Web* This is the public header file for the CUBLAS library, defining the API * * CUBLAS is an implementation of BLAS (Basic Linear Algebra Subroutines) * on top of the CUDA runtime. */ #if !defined(CUBLAS_H_) #define CUBLAS_H_ #include #ifndef CUBLASWINAPI: #ifdef _WIN32: #define CUBLASWINAPI __stdcall: #else: #define … chocolate nightstand
GitHub - francislabountyjr/cublas-SGEMM-CUDA: cublas …
WebThe text was updated successfully, but these errors were encountered: WebThis distribution contains a simple acceleration scheme for the standard HPL-2.0 benchmark with a double precision capable NVIDIA GPU and the CUBLAS library. The code has been known to build on Ubuntu 8.04LTS or later and Redhat 5 and derivatives, using mpich2 and GotoBLAS, with CUDA 2.2 or later. WebCUTLASS 3.0 - January 2024. CUTLASS is a collection of CUDA C++ template abstractions for implementing high-performance matrix-matrix multiplication (GEMM) and related computations at all levels and scales within CUDA. It incorporates strategies for hierarchical decomposition and data movement similar to those used to implement cuBLAS and … chocolat enjoy life