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Automated Dynamic Analysis of CUDA Programs

Michael Boyer, Kevin Skadron, Westley Weimer

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Tags: Computer science, CUDA, nVidia, Optimization, Performance

February 12, 2011 by hgpu

Compiling an Array Language to a Graphics Processor

Bradford Larsen

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GT, Thesis

February 11, 2011 by hgpu

Comparing CUDA and OpenGL implementations for a Jacobi iteration

Ronan Amorim, Gundolf Haase, Manfred Liebmann, Rodrigo Weber dos Santos

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Tags: Computer science, CUDA, GLSL, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 8800 GT, nVidia GeForce GTX 280, OpenGL, Performance

February 11, 2011 by hgpu

Comparison of several parallel API for cloth modelling on modern GPUs

Tzvetomir Ivanov Vassilev

Tags: Computer science, CUDA, GLSL, nVidia, OpenCL, OpenGL, Performance

February 11, 2011 by hgpu

Energy-efficient algorithms

Susanne Albers

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Tags: Algorithms, Computer science, Energy-efficient computing, Green, Review

February 11, 2011 by hgpu

EigenCFA: accelerating flow analysis with GPUs

Tarun Prabhu, Shreyas Ramalingam, Matthew Might, Mary Hall

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Tags: Computer science, CUBLAS, Flow analysis, nVidia, nVidia GeForce GTX 480, Optimization

February 11, 2011 by hgpu

Interpretive OpenGL for computer graphics

B. Chen, H. Cheng

Source codes

Tags: 3D Graphics and Realism, Computer science, OpenGL, Package

February 10, 2011 by hgpu

Interactive Computer Graphics: A Top-Down Approach Using OpenGL (5th Edition)

Edward Angel

Tags: 3D Graphics and Realism, Book, Computer science, OpenGL

February 10, 2011 by hgpu

OpenGL(R) Programming Guide: The Official Guide to Learning OpenGL(R), Version 2 (5th Edition)

Opengl, D. Shreiner, M. Woo, J. Neider, T. Davis

Tags: 3D Graphics and Realism, Book, Computer science, OpenGL

February 10, 2011 by hgpu

OpenGL(R) Shading Language (2nd Edition)

Randi J. Rost

Tags: Book, Computer science, High-level Languages, OpenGL

February 10, 2011 by hgpu

GLSV: Graphics library stereo vision for OpenGL

S. Martin, J. Suarez, R. Orea, R. Rubio, R. Gallego

Tags: Computer science, Computer vision, OpenGL, Virtual reality

February 10, 2011 by hgpu

Scaling LAPACK panel operations using parallel cache assignment

Anthony M. Castaldo, R. Clint Whaley

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Tags: Algorithms, Computer science, Factorization, Linear Algebra, Mathematical Software, Performance

February 10, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Automated Dynamic Analysis of CUDA Programs

Compiling an Array Language to a Graphics Processor

Comparing CUDA and OpenGL implementations for a Jacobi iteration

Comparison of several parallel API for cloth modelling on modern GPUs

Energy-efficient algorithms

EigenCFA: accelerating flow analysis with GPUs

Interpretive OpenGL for computer graphics

Interactive Computer Graphics: A Top-Down Approach Using OpenGL (5th Edition)

OpenGL(R) Programming Guide: The Official Guide to Learning OpenGL(R), Version 2 (5th Edition)

OpenGL(R) Shading Language (2nd Edition)

GLSV: Graphics library stereo vision for OpenGL

Scaling LAPACK panel operations using parallel cache assignment

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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