hgpu.org » pyCUDA
Richard Schoonhoven, Ben van Werkhoven, Kees Joost Batenburg
Tags: AMD Radeon Instinct Mi50, ATI, Auto-Tuning, Benchmarking, Computer science, CUDA, nVidia, nVidia A100, nVidia GeForce GTX 1080 Ti, nVidia GeForce GTX Titan X, nVidia Titan RTX, OpenCL, Performance, pyCUDA, PyOpenCL, Tesla K20, Tesla P100, Tesla V100
October 9, 2022 by hgpu
Florencio Balboa Usabiaga, Blaise Delmotte, Aleksandar Donev
Tags: Condensed matter, CUDA, nVidia, Package, Physics, pyCUDA, Soft Condensed Matter
December 6, 2016 by hgpu
Recent source codes
* * *
Most viewed papers (last 30 days)
- Performance portability evaluation of blocked stencil computations on GPUs
- Redco: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs
- OpenRAND: A Performance Portable, Reproducible Random Number Generation Library for Parallel Computations
- Solving MaxSAT with Matrix Multiplication
- On the Three P's of Parallel Programming for Heterogeneous Computing: Performance, Productivity, and Portability
- Performance Optimization of Deep Learning Sparse Matrix Kernels on Intel Max Series GPU
- Performance Tuning for GPU-Embedded Systems: Machine-Learning-based and Analytical Model-driven Tuning Methodologies
- A Comparison of the Performance of the Molecular Dynamics Simulation Package GROMACS Implemented in the SYCL and CUDA Programming Models
- CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types
- A Performance-Portable SYCL Implementation of CRK-HACC for Exascale
* * *