(2024/2025) A library and environment for parallel processing in a power-limited CPU+GPU cluster environment.
A library and environment for parallel processing in a power-limited CPU+GPU cluster environment.
Some CUDA design patterns and a bit of template magic for CUDA
Par4All is an automatic parallelizing and optimizing compiler (workbench) for C and Fortran seque...
Computer vision library with focus on heterogeneous systems
GPU-accelerated Marginalized Graph Kernel with customizable node and edge features; Gaussian proc...
Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mi...
My experiments with MPI and OpenMP
Python library for fast time-series analysis on CUDA GPUs
Classes enabling finmath-lib to run its Monte-Carlo models on Cuda GPUs
Playing with CUDA and GPUs in Google Colab
ILGPU JIT Compiler for high-performance .Net GPU programs
Abstraction Library for Parallel Kernel Acceleration
Programmable CUDA/C++ GPU Graph Analytics
A curated list of awesome GPGPU (CUDA/OpenCL/Vulkan) resources
HPC solver for nonlinear optimization problems
Templated C++/CUDA implementation of Model Predictive Path Integral Control (MPPI)