hgpu.org » Aparapi
Muhammad Adnan, Faisal Aslam, Zubair Nawaz, Syed Mansoor Sarwar
Tags: Aparapi, Benchmarking, Computer science, CUDA, Java, Matrix multiplication, nVidia, nVidia GeForce GT 630 M, OpenCL, OpenGL, Package
January 6, 2018 by hgpu
Gabriel O. Trisca
Tags: Aparapi, Computer science, Machine learning, Neural networks, nVidia, nVidia GeForce GTX Titan, OpenCL, RNN, Seismology, Sensing, Signal denoising, Tesla K20, Thesis
March 20, 2016 by hgpu
Recent source codes
RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform
RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform
* * *
Most viewed papers (last 30 days)
- DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels
- Deep Kernel Fusion for Transformers
- Improving HPC Code Generation Capability of LLMs via Online Reinforcement Learning with Real-Machine Benchmark Rewards
- StitchCUDA: An Automated Multi-Agents End-to-End GPU Programing Framework with Rubric-based Agentic Reinforcement Learning
- Execution-Centric Characterization of FP8 Matrix Cores, Asynchronous Execution, and Structured Sparsity on AMD MI300A
- Catalyst-Agent: Autonomous heterogeneous catalyst screening and optimization with an LLM Agent
- A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5
- CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation
- Joint Training on AMD and NVIDIA GPUs
- Fine-Tuning GPT-5 for GPU Kernel Generation
* * *




