hgpu.org » Ordinary differential equations
Daisuke Sato, Yuanfang Xie, James Weiss, Zhilin Qu, Alan Garfinkel, Allen Sanderson
Tags: CUDA, Medicine, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 9800 GX2, ODEs, Ordinary differential equations, Partial differential equations, PDEs
December 15, 2010 by hgpu
Recent source codes
* * *
Most viewed papers (last 30 days)
- StitchCUDA: An Automated Multi-Agents End-to-End GPU Programing Framework with Rubric-based Agentic Reinforcement Learning
- Diagnosing FP4 inference: a layer-wise and block-wise sensitivity analysis of NVFP4 and MXFP4
- CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation
- Catalyst-Agent: Autonomous heterogeneous catalyst screening and optimization with an LLM Agent
- Architecture-Aware LLM Inference Optimization on AMD Instinct GPUs: A Comprehensive Benchmark and Deployment Study
- EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery
- Joint Training on AMD and NVIDIA GPUs
- Practical FP4 Training for Large-Scale MoE Models on Hopper GPUs
- CUDABench: Benchmarking LLMs for Text-to-CUDA Generation
- CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models
* * *



