GPGPU microprocessor architecture
GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as w...
GPGPU processor supporting RISCV-V extension, developed with Chisel HDL
Python library for GPGPU on Raspberry Pi
A repository that compliments gpgpu-sim, providing automated regression scripts, simulation launching utilities and the code + arguments for simulations that complete in a reasonable amount of time on...
Flexible GPGPU instrumentation
Boids behavior calculation code is modified to utilize Microsoft Direct Compute resulting significant improvements in Performance. 利用Compute Shader实现Boids模拟。
gpgpu utils for three.js
The write-once-run-anywhere GPGPU library for Rust
Safe, portable, high performance compute (GPGPU) kernels.
LBM parallelization using GPGPU CUDA APIs
qCUDA: GPGPU Virtualization at a New API Remoting Method with Para-virtualization
Experiments with Clojure / Sumatra / Graal and, ultimately, Clojure compiled onto GPGPU...
An OpenCL neural network implementation in Python. Uses massively parallel GPU computations to train and test neural network. Uses PyOpenCL as wrapper around OpenCL. Tight integration with NumPy. Tags...