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Multi-level Parallelism for Time- and Cost-efficient Parallel Discrete Event Simulation on GPUs

Georg Kunz, Daniel Schemmel, James Gross, Klaus Wehrle

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Tags: Computer science, CUDA, Design space exploration, nVidia, nVidia GeForce GTX 470

April 19, 2012 by hgpu

GPU computing in medical physics: A review

Guillem Pratx, Lei Xing

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Tags: CUDA, Image processing, Image reconstruction, Medical Physics, Medicine, nVidia, Review

April 19, 2012 by hgpu

Auto-tuning Dense Vector and Matrix-Vector Operations for Fermi GPUs

Hans Henrik Brandenborg Sorensen

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Tags: BLAS, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C2050

April 18, 2012 by hgpu

Maximize Performance on GPUs Using the Rake-based Optimization: A Case Study

Jianbin Fang, Ana Lucia Varbanescu, Henk Sips

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Tags: Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenCL

April 18, 2012 by hgpu

High-Performance Matrix-Vector Multiplication on the GPU

Hans Henrik Brandenborg Sorensen

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Tags: BLAS, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C2050

April 18, 2012 by hgpu

Implementation of Massive Artificial Neural Networks with CUDA

Domen Verber

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 595, Tesla C1060

April 17, 2012 by hgpu

Monte Carlo Modeling of Electron Transport Using CUDA Technology

Mikhail E. Zhukovskiy, Gerd-Ruediger Jaenisch, Andreas Deresch, Roman V. Uskov

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Tags: Algorithms, CUDA, Monte Carlo simulation, nVidia, Physics

April 17, 2012 by hgpu

Exact diagonalization of the Hubbard model on graphics processing units

Topi Siro, Ari Harju

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Tags: Algorithms, Computational Physics, CUDA, nVidia, Physics, Tesla M2070

April 17, 2012 by hgpu

A pilgrimage to gravity on GPUs

Jeroen Bedorf, Simon Portegies Zwart

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Tags: Algorithms, Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, Review

April 17, 2012 by hgpu

High Performance Stencil Code Algorithms for GPGPUs

Andreas Schäfer and Dietmar Fey

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Tags: Computer science, nVidia, nVidia GeForce GTX 480, Tesla C2050

April 17, 2012 by gentryx

Solving incompressible two-phase flows on multi-GPU clusters

Peter Zaspel, Michael Griebel

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Tags: CUDA, Finite difference, Fluid dynamics, GPU cluster, Navier-Stokes equations, nVidia, Tesla C2050, Tesla S1070

April 16, 2012 by hgpu

Auto-Tuning of Level 1 and Level 2 BLAS for GPUs

Hans Henrik Brandenborg Sorensen

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Tags: BLAS, Computer science, CUDA, Linear Algebra, nVidia, Tesla C2050

April 16, 2012 by hgpu

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

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

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high performance computing on graphics processing units: hgpu.org

Programming

Multi-level Parallelism for Time- and Cost-efficient Parallel Discrete Event Simulation on GPUs

GPU computing in medical physics: A review

Auto-tuning Dense Vector and Matrix-Vector Operations for Fermi GPUs

Maximize Performance on GPUs Using the Rake-based Optimization: A Case Study

High-Performance Matrix-Vector Multiplication on the GPU

Implementation of Massive Artificial Neural Networks with CUDA

Monte Carlo Modeling of Electron Transport Using CUDA Technology

Exact diagonalization of the Hubbard model on graphics processing units

A pilgrimage to gravity on GPUs

High Performance Stencil Code Algorithms for GPGPUs

Solving incompressible two-phase flows on multi-GPU clusters

Auto-Tuning of Level 1 and Level 2 BLAS for GPUs

Recent source codes

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

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

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