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20 search results found

Nyuziprocessor ⭐ 1,863

GPGPU microprocessor architecture

Kernel_tuner ⭐ 236

Cuda By Example Source Code For The Book S Examples ⭐ 232

CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples.

Numpower ⭐ 139

PHP library for efficient scientific computing and array manipulation with GPU support

Opencl Examples ⭐ 80

Simple OpenCL examples for exploiting GPU computing

CUDA bindings for Ruby

Sixtyfour ⭐ 37

How fast can we brute force a 64-bit comparison?

qCUDA: GPGPU Virtualization at a New API Remoting Method with Para-virtualization

Vulkanfft ⭐ 17

Fast Fourier Transform using the Vulkan API

Openglfft ⭐ 17

2D FFT running on glsl compute shaders

🔭 cross platform general purpose GPU library - optimized for rendering

Uvm Eval ⭐ 11

This serves as a repository for reproducibility of the SC21 paper "In-Depth Analyses of Unified Virtual Memory System for GPU Accelerated Computing," as well as several components of the IPDPS21 paper "Demystifying GPU UVM Cost with Deep Runtime and Workload Analysis."

A compiled, statically typed, C-like, data oriented language with a focus on performance and low-level optimization using GPU acceleration via kernels.

best CPU/GPU sparse solver for large sparse matrices

Cuda Pca Jacobi ⭐ 9

CUDA C implementation of Principal Component Analysis (PCA) through Singular Value Decomposition (SVD) using a highly parallelisable version of the Jacobi eigenvalue algorithm.

Gpuschool2018 ⭐ 7

Material for the July 2018 "Introduction to GPU programming" summer school at the University of Warwick

A CUDA implementation of the transpose-free Quasi-Minimal Residual method

DPLASMA is a highly optimized, accelerator-aware, implementation of a dense linear algebra package for distributed heterogeneous systems. It is designed to deliver sustained performance for distributed systems where each node featuring multiple sockets of multicore processors, and if available, accelerators, using the PaRSEC runtime as a backend.

GPU-based DNA sequence alignment program using Smith-Waterman

Cuda Programming Tutorial ⭐ 5

Get started with CUDA programming

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