high performance computing on graphics processing units: hgpu.org

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Assembly-Free Large-Scale Modal Analysis on the GPU

Praveen Yadav, Krishnan Suresh

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

September 11, 2012 by hgpu

Design and Modeling of a Non-blocking Checkpointing System

Kento Sato, Kathryn Mohror, Adam Moody, Naoya Maruyama, Satoshi Matsuoka

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Tags: Computer science, Fault tolerance, GPU cluster, nVidia, Tesla M2050

September 11, 2012 by hgpu

GPU accelerated QTL detection

G. Chapuis, O. Filangi, J.M. Elsen, D. Lavenier, P. Le Roy

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Tags: Bioinformatics, Biology, Computer science, CUDA, nVidia, Package, Tesla C2050

September 11, 2012 by hgpu

High-Performance Location-Aware Publish-Subscribe on GPUs

Gianpaolo Cugola, Alessandro Margara

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460

September 11, 2012 by hgpu

CuNeuQuant: A CUDA Implementation of the NeuQuant Image Quantization Algorithm

David Bottisti, Liuva Mendez, Damian Dechev

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Tags: Algorithms, Computer vision, CUDA, Image processing, Neural networks, nVidia, nVidia GeForce 9800 GTX, Package

September 10, 2012 by hgpu

A Parallel Twig Join Algorithm for XML Processing using a GPGPU

Lila Shnaiderman, Oded Shmueli

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

September 10, 2012 by hgpu

Accelerating Boosting-based Face Detection on GPUs

David Oro, Carles Fernandez, Carlos Segura, Xavier Martorell, Javier Hernando

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Tags: Algorithms, Computer science, Computer vision, CUDA, H.264/AVC, nVidia, nVidia GeForce GTX 470

September 10, 2012 by hgpu

Performance Improvement of TOUGH2 Simulation with Graphics Processing Unit

Yusuke Shimotoku, Toshiaki Tanaka, Ryuichi Itoi

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C2070

September 10, 2012 by hgpu

Performance Evaluation of Concurrent Lock-free Data Structures on GPUs

Prabhakar Misra, Mainak Chaudhuri

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Tags: Computer science, CUDA, Data Structures and Algorithms, nVidia, Performance, Tesla C2070

September 8, 2012 by hgpu

Lost in Translation: Challenges in Automating CUDA-to-OpenCL Translation

Paul Sathre, Mark Gardner, Wu-chun Feng

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Tags: Code generation, Computer science, CUDA, nVidia, OpenCL

September 8, 2012 by hgpu

Mastering Software Variant Explosion for GPU Accelerators

Richard Membarth, Frank Hannig, Jurgen Teich, Mario Korner, Wieland Eckert

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, Computer science, CUDA, Heterogeneous systems, Image processing, nVidia, nVidia Quadro FX 5800, OpenCL, Package, Tesla C2050

September 8, 2012 by hgpu

Supporting Heterogenous Computing Environments in SaC

Miguel Diogo, Clemens Grelck

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia

September 8, 2012 by hgpu

CUDAnalyst (CUDA + Analyst)

Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation

CodegenBench

CodegenBench: Can LLMs Write Efficient Code Across Architectures?

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Agentic Code Optimization via Compiler-LLM Cooperation

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Assembly-Free Large-Scale Modal Analysis on the GPU

Design and Modeling of a Non-blocking Checkpointing System

GPU accelerated QTL detection

High-Performance Location-Aware Publish-Subscribe on GPUs

CuNeuQuant: A CUDA Implementation of the NeuQuant Image Quantization Algorithm

A Parallel Twig Join Algorithm for XML Processing using a GPGPU

Accelerating Boosting-based Face Detection on GPUs

Performance Improvement of TOUGH2 Simulation with Graphics Processing Unit

Performance Evaluation of Concurrent Lock-free Data Structures on GPUs

Lost in Translation: Challenges in Automating CUDA-to-OpenCL Translation

Mastering Software Variant Explosion for GPU Accelerators

Supporting Heterogenous Computing Environments in SaC

Recent source codes

CUDAnalyst (CUDA + Analyst)

CodegenBench

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Device Virtual Machine (DVM)

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Agentic Code Optimization via Compiler-LLM Cooperation

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