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An analytical model for a GPU architecture with memory-level and thread-level parallelism awareness

Sunpyo Hong, Hyesoon Kim

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Tags: Analytical model, Computer science, CUDA, Memory level parallelism, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 8800 GTX, nVidia Quadro FX 5600, Warp level parallelism

October 29, 2010 by hgpu

GPU acceleration of cutoff pair potentials for molecular modeling applications

Christopher I. Rodrigues, David J. Hardy, John E. Stone, Klaus Schulten, Wen Mei

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Tags: Algorithms, Biology, Chemistry, CUDA, Medicine, Molecular dynamics, nVidia, Tesla C870

October 28, 2010 by hgpu

AUTO-GC: Automatic translation of data mining applications to GPU clusters

Wenjing Ma, Gagan Agrawal

Tags: Code generation, Computer science, CUDA, GPU cluster, nVidia

October 28, 2010 by hgpu

CUDA cuts: Fast graph cuts on the GPU

Vibhav Vineet, P. J. Narayanan

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Tags: Computer science, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX

October 28, 2010 by hgpu

GPU packet classification using OpenCL: a consideration of viable classification methods

Alastair Nottingham, Barry Irwin

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Tags: Algorithms, Computer science, nVidia, OpenCL

October 28, 2010 by hgpu

An adaptive performance modeling tool for GPU architectures

Sara S. Baghsorkhi, Matthieu Delahaye, Sanjay J. Patel, William D. Gropp, Wen mei

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Tags: Analytical model, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Performance

October 28, 2010 by hgpu

An efficient implementation of Smith Waterman algorithm on GPU using CUDA, for massively parallel scanning of sequence databases

Lukasz Ligowski, Witold Rudnicki

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Tags: Bioinformatics, Biology, Computational biology, Computer science, CUDA, nVidia, nVidia GeForce 9800 GX2, Sequence alignment, Smith-Waterman algorithm

October 28, 2010 by hgpu

Fast Simulations of Gravitational Many-body Problem on RV770 GPU

Kazuki Fujiwara, Naohito Nakasato

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Tags: Astrophysics, ATI, ATI CAL, ATI Radeon HD 4850, ATI Radeon HD 4870, ATI Stream, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, RV770

October 28, 2010 by hgpu

String Matching on a Multicore GPU Using CUDA

Charalampos S. Kouzinopoulos, Konstantinos G. Margaritis

Tags: Algorithms, Computer science, CUDA, nVidia, String matching

October 28, 2010 by hgpu

Pseudo-random number generators for Monte Carlo simulations on Graphics Processing Units

Vadim Demchik

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Tags: ATI, ATI IL, ATI Radeon HD 4850, ATI Radeon HD 4870, ATI Radeon HD 5850, ATI Stream, Computational Physics, High Energy Physics - Lattice, Monte Carlo simulation, Physics, Pseudo-random number generators

October 28, 2010 by hgpu

Compute Pairwise Manhattan Distance and Pearson Correlation Coefficient of Data Points with GPU

Dar J. Chang, Ahmed H. Desoky, Ming Ouyang, Eric C. Rouchka

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Tags: Computer science, CUDA, Hierarchical clustering, nVidia, Similarity and dissimilarity metrics, Tesla C870

October 28, 2010 by hgpu

Motion Compensation and Reconstruction of H.264/AVC Video Bitstreams using the GPU

Bart Pieters, Dieter Van Rijsselbergen, Wesley De Neve, Rik Van de Walle

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Tags: Computer science, CUDA, H.264/AVC, Motion compensation, nVidia, nVidia GeForce 6800 GT, nVidia GeForce 7800 GTX

October 28, 2010 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

Programming

An analytical model for a GPU architecture with memory-level and thread-level parallelism awareness

GPU acceleration of cutoff pair potentials for molecular modeling applications

AUTO-GC: Automatic translation of data mining applications to GPU clusters

CUDA cuts: Fast graph cuts on the GPU

GPU packet classification using OpenCL: a consideration of viable classification methods

An adaptive performance modeling tool for GPU architectures

An efficient implementation of Smith Waterman algorithm on GPU using CUDA, for massively parallel scanning of sequence databases

Fast Simulations of Gravitational Many-body Problem on RV770 GPU

String Matching on a Multicore GPU Using CUDA

Pseudo-random number generators for Monte Carlo simulations on Graphics Processing Units

Compute Pairwise Manhattan Distance and Pearson Correlation Coefficient of Data Points with GPU

Motion Compensation and Reconstruction of H.264/AVC Video Bitstreams using 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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