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Mapping a Dataflow Programming Model onto Heterogeneous Architectures

Alina Sbirlea

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Quadro FX 580, Tesla C1060, Thesis

September 12, 2012 by hgpu

Medusa: Simplified Graph Processing on GPUs

Jianlong Zhong, Bingsheng He

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Optimization, Performance, Tesla C2050

September 12, 2012 by hgpu

A First Step Towards GPU-assisted Query Optimization

Max Heimel, Volker Markl

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Tags: Computer science, Databases, nVidia, nVidia GeForce GTX 460, OpenCL, Optimization, Package

September 11, 2012 by hgpu

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

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

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

Mapping a Dataflow Programming Model onto Heterogeneous Architectures

Medusa: Simplified Graph Processing on GPUs

A First Step Towards GPU-assisted Query Optimization

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

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

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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