Topic: cublas Goto Github
Some thing interesting about cublas
Some thing interesting about cublas
cublas,:cow: Harness the power of the GPU with '((((((cuBLAS in Common Lisp
User: aaronjackson
cublas,A multilayer perceptron (for simple image classification), accelerated with CUDA
User: black-phoenix
cublas,A Deep Learning Framework Written in Rust
User: bokutotu
cublas,Cuda NN inference
User: borislestsov
cublas,Use tensor core to calculate back-to-back HGEMM (half-precision general matrix multiplication) with MMA PTX instruction.
User: bruce-lee-ly
cublas,Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruction.
User: bruce-lee-ly
cublas,Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
User: bruce-lee-ly
cublas,Hooked CUDA-related dynamic libraries by using automated code generation tools.
User: bruce-lee-ly
cublas,Several common methods of matrix multiplication are implemented on CPU and Nvidia GPU using C++11 and CUDA.
User: bruce-lee-ly
cublas,Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs
User: chenxuhao
cublas,🔥🔥🔥 A collection of some awesome public CUDA, cuBLAS, TensorRT and High Performance Computing (HPC) projects.
User: codingonion
cublas,bilibili视频【CUDA 12.x 并行编程入门(C++版)】配套代码
User: codingonion
Home Page: https://www.bilibili.com/video/BV1Sj411H7Qq/
cublas,bilibili视频【CUDA 12.x 并行编程入门(Python版)】配套代码
User: codingonion
Home Page: https://www.bilibili.com/video/BV1db4y1P7iX/
cublas,bilibili视频【CUDA 12.x 并行编程入门(Rust版)】配套代码
User: codingonion
Home Page: https://www.bilibili.com/video/BV18e411H7bY/
cublas,Bandicoot: C++ library for GPU linear algebra & scientific computing - https://coot.sourceforge.io
User: conradsnicta
Home Page: https://coot.sourceforge.io
cublas,Generalized Orthogonal Least-Squares in CUDA
User: corenbialik
cublas,Safe rust wrapper around CUDA toolkit
User: coreylowman
cublas,gpumm - matrix-matrix multiplication by using CUDA, cublas, cublasxt and OpenACC.
User: dc-fukuoka
cublas,Real-time GPU Beamformer for DSA110 written in C/CUDA
User: devincody
cublas,A really old project that implemented the Stable Fluids using CUDA, cuBLAS and cuSPARSE
User: ending2015a
cublas,C++ CUDA-compatible template class that provides an interface for generic purpose matrix related algorithms and computations. Includes Matlab-like functions. This is mainly an example of how to use CUDA code with C++. Don't expect such high performance.
User: erellu
cublas,Classification of Hyperspectral Images ( HSIs ) with Principal Component Analysis ( PCA ) in CUDA ( cuBLAS ).
User: gigernau
cublas,code for benchmarking GPU performance based on cublasSgemm and cublasHgemm
User: hma02
cublas,HSD: Hierarchical Spherical Deformation for Cortical Surface Registration
User: ilwoolyu
Home Page: https://doi.org/10.1016/j.media.2019.06.013
cublas,A neat C++ custom Matrix class to perform super-fast GPU (or CPU) powered Matrix/Vector computations with minimal code, leveraging the power of cuBLAS where applicable.
User: ironhide23586
cublas,Harness the power of GPU acceleration for fusing visual odometry and IMU data with an advanced Unscented Kalman Filter (UKF) implementation. Developed in C++ and utilizing CUDA, cuBLAS, and cuSOLVER, this system offers unparalleled real-time performance in state and covariance estimation for robotics and autonomous system applications.
User: jagennath-hari
Home Page: https://github.com/jagennath-hari/CUDA-Accelerated-Visual-Inertial-Odometry-Fusion
cublas,Matrix Exponential Approximation using CUDA
User: maximilianbehr
cublas,Nonnegative matrix factorizations using CUDA
User: maximilianbehr
cublas,Newton's and Halley's Method for the Matrix Polar Decomposition using CUDA
User: maximilianbehr
cublas,Matrix multiplication example performed with OpenMP, OpenACC, BLAS, cuBLABS, and CUDA
User: mnicely
cublas,The repository targets the OpenCL gemm function performance optimization. It compares several libraries clBLAS, clBLAST, MIOpenGemm, Intel MKL(CPU) and cuBLAS(CUDA) on different matrix sizes/vendor's hardwares/OS. Out-of-the-box easy as MSVC, MinGW, Linux(CentOS) x86_64 binary provided. 在不同矩阵大小/硬件/操作系统下比较几个BLAS库的sgemm函数性能,提供binary,开盒即用。
User: mz24cn
cublas,Python interface to the NVIDIA CublasXt API
User: nikulukani
cublas,Lab exercise of Parallel Processing course in NTUA regarding CUDA programming
User: panosantoniadis
cublas,Algorithms implemented in CUDA + resources about GPGPU
User: rbaygildin
cublas,Deep Learning library using GPU(CUDA/cuBLAS)
User: sasagawa888
cublas,Basel morphable face model mesh and texture generator using GPU.
User: smorodov
cublas,Tools to run and parse MKL verbose mode
User: tapplencourt
cublas,Simple VGG16 implemented in CUDA
User: tigercosmos
cublas,Unlimited Data-Science Benchmarks for Numeric, Tabular and Graph Workloads
Organization: unum-cloud
Home Page: https://unum.cloud/post/2022-01-25-cpu-vs-gpu/
cublas,CUDA kernel functions
User: yester31
cublas,CUDA Gemm Convolution implementation
User: yester31
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