high performance computing on graphics processing units: hgpu.org

David R. Glowacki, Michael O'Connor, Gaetano Calabró, James Price, Philip Tew, Thomas Mitchell, Joseph Hyde, David P. Tew, David J. Coughtrie and Simon McIntosh-Smith

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Tags: GPU, Molecular dynamics, OpenCL, Visualization

June 12, 2014 by simonmcs

Parallel Prefix Scan with Compute Unified Device Architecture (CUDA)

B. Muni Lavanya

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Tags: Algorithms, Computer science, CUDA, nVidia, Sorting

June 11, 2014 by hgpu

Intersecting two families of sets on the GPU

Marta Fort, J. Antoni Sellares, Nacho Valladares

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

June 11, 2014 by hgpu

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

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high performance computing on graphics processing units: hgpu.org

Applications

Realizing Accelerated Cost-Effective Distributed RAID

LTE Physical Layer Implementation Using GPU Based High Performance Computing

GPU-accelerated Computation for Statistical Analysis of the Next-Generation Sequencing Data

Performance Improvement of Data Mining in Weka through GPU Acceleration

Multi-threaded Kernel Offloading to GPGPU Using Hyper-Q on Kepler Architecture

A Fast Batched Cholesky Factorization on a GPU

Optimization Techniques on GPU: A Survey

A GPU-accelerated immersive audio-visual framework for interaction with molecular dynamics using consumer depth sensors

Parallel Prefix Scan with Compute Unified Device Architecture (CUDA)

Intersecting two families of sets on the GPU

Recent source codes

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

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