high performance computing on graphics processing units: hgpu.org

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Fine-Grained Parallel Incomplete LU Factorization

Edmond Chow, Aftab Patel

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Tags: Algorithms, Computer science, Factorization, Intel Xeon Phi

May 17, 2014 by hgpu

Hierarchical Transparent Programming for Heterogeneous Computing

Yuri Torres de la Sierra

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Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, OpenCL, Thesis

May 17, 2014 by hgpu

Heterogeneity-aware Fault Tolerance using a Self-Organizing Runtime System

Mario Kicherer, Wolfgang Karl

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 275, nVidia GeForce GTX 560 Ti, Operating systems

May 17, 2014 by hgpu

A Straightforward Preprocessing Approach for Accelerating Convex Hull Computations on the GPU

Gang Mei

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Tags: Computational Geometry, Computer science, CUDA, nVidia, nVidia GeForce GT 640

May 16, 2014 by hgpu

Parallelization of Shape Diameter Function Computation using OpenCL

Rastislav Kamenicky

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Tags: 3D Graphics and Realism, Algorithms, AMD Radeon R9 290, ATI, Computer science, OpenCL

May 15, 2014 by hgpu

Performance Optimization of GPU ELF-Codes

Fausto Artico

Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, PTX, Tesla C2070, Thesis

May 15, 2014 by hgpu

Optimized Composition: Generating Efficient Code for Heterogeneous Systems from Multi-Variant Components, Skeletons and Containers

Christoph Kessler, Usman Dastgeer, Lu Li

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Optimization, Package, Review, Tesla C2050

May 15, 2014 by hgpu

Preliminary results of autotuning GEMM kernels for the NVIDIA Kepler architecture-GeForce GTX 680

Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Jack Dongarra

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Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 680

May 14, 2014 by hgpu

Evaluating the Power of GPU Acceleration for IDW Interpolation Algorithm

Gang Mei

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Tags: Algorithms, Computer science, CUDA, Geoscience, nVidia, nVidia GeForce GT 640

May 14, 2014 by hgpu

Build and Travel KD-Tree with CUDA

Meng Zhou

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Tags: 3D Graphics and Realism, Computer science, CUDA, KD-tree, nVidia, nVidia GeForce GTX 780 Ti, Package, Raytracing

May 14, 2014 by hgpu

Impact of Modern OpenGL on FPS

Jan Cejka

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 580, nVidia Quadro 6000, OpenGL, Performance, Rendering

May 13, 2014 by hgpu

Deriving Shape Grammars on the GPU

Mark Dokter

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX Titan, OpenGL, Performance

May 13, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Fine-Grained Parallel Incomplete LU Factorization

Hierarchical Transparent Programming for Heterogeneous Computing

Heterogeneity-aware Fault Tolerance using a Self-Organizing Runtime System

A Straightforward Preprocessing Approach for Accelerating Convex Hull Computations on the GPU

Parallelization of Shape Diameter Function Computation using OpenCL

Performance Optimization of GPU ELF-Codes

Optimized Composition: Generating Efficient Code for Heterogeneous Systems from Multi-Variant Components, Skeletons and Containers

Preliminary results of autotuning GEMM kernels for the NVIDIA Kepler architecture-GeForce GTX 680

Evaluating the Power of GPU Acceleration for IDW Interpolation Algorithm

Build and Travel KD-Tree with CUDA

Impact of Modern OpenGL on FPS

Deriving Shape Grammars 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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