hgpu.org » nVidia
Richard Vuduc, Aparna Chandramowlishwaran, Jee Choi, Murat Guney, Aashay Shringarpure
October 27, 2010 by hgpu
Nikolaj Leischner, Vitaly Osipov, Peter Sanders
Tags: Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 285, Sorting, Tesla C1060
October 27, 2010 by hgpu
Guobin Shen,Lihua Zhu,Shipeng Li,Heung-Yeung Shum,Ya-Qin Zhang
Tags: Computer science, nVidia, Video decoding
October 27, 2010 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
* * *



