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)
- Optimizing CUDA like a Human: Micro-Profiling Tools as Expert Surrogates for LLM-Based GPU Kernel Optimization
- daVinci-kernel: Co-Evolving Skill Selection, Summarization, and Utilization via RL for GPU Kernel Optimization
- AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning
- Leveraging AI Ecosystem for Portable and Sustainable GPU Kernels in HPC
- Tangram: Hiding GPU Heterogeneity for Efficient LLM Parallelization
- Fearless Concurrency on the GPU
- From Tokens to Regions: CUDA-Sensitive Instruction Tuning for GPU Kernel Generation
- SpecGen: Accelerating Agentic Kernel Optimization with Speculative Generation
- The Correctness Illusion in LLM-Generated GPU Kernels
- Probe-and-Refine Tuning of Repository Guidance for Coding Agents
* * *




