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The sparse matrix vector product on GPUs

F. Vazquez, E. M. Garzon , J. A. Martinez, J. J. Fernandez

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 295, Sparse matrix

March 3, 2011 by hgpu

Unified – A Sharp Turn in the Latest Era of Graphic Processors

Asma Kausar, Aziz Khan, Zulfiqar Ali

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Programming techniques, Review

March 3, 2011 by hgpu

RankBoost Acceleration on both NVIDIA CUDA and ATI Stream Platforms

Bo Wang, Tianji Wu, Feng Yan, Ruirui Li, Ningyi Xu, Yu Wang

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Tags: ATI, ATI CAL, ATI IL, ATI Radeon HD 4870, ATI Stream, Computer science, CUDA, nVidia, nVidia GeForce 9800 GTX

March 3, 2011 by hgpu

Parallel Cycle Based Logic Simulation Using Graphics Processing Units

Alper Sen, Baris Aksanli, Murat Bozkurt, Melih Mert

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Tags: Computer science, CUDA, Electronic design automation, nVidia, nVidia Quadro FX 3800

March 3, 2011 by hgpu

Speeding Up Cycle Based Logic Simulation Using Graphics Processing Units

Alper Sen, Baris Aksanli, Murat Bozkurt

Tags: Algorithms, Computer science, CUDA, Electronic design automation, Graph theory, nVidia

March 3, 2011 by hgpu

Singular value decomposition for collaborative filtering on a GPU

Kimikazu Kato, Tikara Hosino

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Tags: Computer science, CUDA, Data Structures and Algorithms, Filtering, nVidia, nVidia GeForce GTX 280

March 3, 2011 by hgpu

ECC2K-130 on NVIDIA GPUs

Daniel J. Bernstein, Hsieh-Chung Chen, Chen-Mou Cheng, Tanja Lange, Ruben Niederhagen, Peter Schwabe, Bo-Yin Yang

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Tags: Computer science, CUDA, Elliptic-curve method of factorization, nVidia, nVidia GeForce GTX 295, Security

March 2, 2011 by hgpu

Accelerating Statistical Static Timing Analysis Using Graphics Processing Units

Kanupriya Gulati, Sunil P. Khatri

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Tags: Computer science, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GTX

March 2, 2011 by hgpu

Performance and accuracy of hardware-oriented native-, emulated- and mixed-precision solvers in FEM simulations (Part 2: Double Precision GPUs)

Dominik Goddeke and Robert Strzodka

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Tags: Computer science, Conjugate gradient solver, CUDA, Extended precision, Mixed precision, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Partial differential equations, PDEs, Sparse linear iterative solvers

March 2, 2011 by hgpu

Accelerating Double Precision FEM Simulations with GPUs

Dominik Goddeke, Robert Strzodka, Stefan Turek

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Tags: Computer science, Extended precision, Finite element method, nVidia, nVidia GeForce 6800, OpenGL, Partial differential equations, PDEs

March 2, 2011 by hgpu

Performance and accuracy of hardware-oriented native-, emulated- and mixed-precision solvers in FEM simulations

Dominik Goddeke, Robert Strzodka, Stefan Turek

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Tags: Cg, Computer science, Conjugate gradient solver, Mixed precision, nVidia, nVidia GeForce 7800 GTX, nVidia Quadro FX 4500, Sparse linear iterative solvers

March 1, 2011 by hgpu

Using GPUs to Improve Multigrid Solver Performance on a Cluster

Dominik Goddeke, Robert Strzodka, Jamaludin Mohd-Yusof, Patrick McCormick, Hilmar Wobker, Christian Becker, Stefan Turek

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Tags: Cg, Computer science, Finite element method, Mixed precision, nVidia, nVidia Quadro FX 4500, OpenGL

March 1, 2011 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

The sparse matrix vector product on GPUs

Unified – A Sharp Turn in the Latest Era of Graphic Processors

RankBoost Acceleration on both NVIDIA CUDA and ATI Stream Platforms

Parallel Cycle Based Logic Simulation Using Graphics Processing Units

Speeding Up Cycle Based Logic Simulation Using Graphics Processing Units

Singular value decomposition for collaborative filtering on a GPU

ECC2K-130 on NVIDIA GPUs

Accelerating Statistical Static Timing Analysis Using Graphics Processing Units

Performance and accuracy of hardware-oriented native-, emulated- and mixed-precision solvers in FEM simulations (Part 2: Double Precision GPUs)

Accelerating Double Precision FEM Simulations with GPUs

Performance and accuracy of hardware-oriented native-, emulated- and mixed-precision solvers in FEM simulations

Using GPUs to Improve Multigrid Solver Performance on a Cluster

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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