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Cortical architectures on a GPGPU

Andrew Nere, Mikko Lipasti

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Tags: Algorithms, Computer science, CUDA, Image recognition, nVidia, Programming techniques, Tesla C1060

February 2, 2011 by hgpu

OpenGL(R) ES 2.0 Programming Guide

Aaftab Munshi, Dan Ginsburg, Dave Shreiner

Tags: Book, Computer science, OpenGL, Programming techniques, Tutorial

February 2, 2011 by hgpu

OpenGL SuperBible: Comprehensive Tutorial and Reference (5th Edition)

Richard S. Wright, Nicholas Haemel, Graham Sellers, Benjamin Lipchak

Tags: Book, Computer science, OpenGL, Programming techniques, Tutorial

February 2, 2011 by hgpu

OpenGL(R) SuperBible: Comprehensive Tutorial and Reference (4th Edition)

Richard S. Wright, Benjamin Lipchak, Nicholas Haemel

Tags: Book, Computer science, OpenGL, Programming techniques, Tutorial

February 2, 2011 by hgpu

Small-ruleset regular expression matching on GPGPUs: quantitative performance analysis and optimization

Jamin Naghmouchi, Daniele P. Scarpazza, Mladen Berekovic

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8600 GT, nVidia GeForce GTX 280, Pattern Search, Programming techniques

January 31, 2011 by hgpu

Parallel multiclass classification using SVMs on GPUs

Sergio H. Lopez, John R. Williams, Abel Sanchez

Tags: Computer science, Programming techniques

January 25, 2011 by hgpu

Strategies to minimise the total run time of cyclic graph based genetic programming with GPUs

Tony E. Lewis, George D. Magoulas

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce 8800 GT, Programming techniques

January 22, 2011 by hgpu

Distributed genetic programming on GPUs using CUDA

Simon Harding, Wolfgang Banzhaf

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce 8200, Programming techniques, Tutorial

January 22, 2011 by hgpu

Accelerating evolutionary computation with graphics processing units

Wolfgang Banzhaf, Simon Harding

Tags: Algorithms, Computer science, Genetic programming, Programming techniques, Tutorial

January 22, 2011 by hgpu

Implicit Parallel Time Integrators

Andrew Christlieb, Benjamin Ong

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Tags: Algorithms, Computer science, Programming techniques

January 19, 2011 by hgpu

A Multi-Stage CUDA Kernel for Floyd-Warshall

Ben Lund, Justin W Smith

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Tags: Computer science, CUDA, nVidia, Optimization, Performance, Programming techniques, Tesla C1060

January 18, 2011 by hgpu

MPI-CUDA parallelization of a finite-strip program for geometric nonlinear analysis: A hybrid approach

P. S. Rakic, D. D. Milasinovic, Živanov, Z. Suvajdzin, M. Nikolic, M. Hajdukovic

Tags: Computational Engineering, Computer science, CUDA, MPI, nVidia, Programming techniques

January 16, 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

Cortical architectures on a GPGPU

OpenGL(R) ES 2.0 Programming Guide

OpenGL SuperBible: Comprehensive Tutorial and Reference (5th Edition)

OpenGL(R) SuperBible: Comprehensive Tutorial and Reference (4th Edition)

Small-ruleset regular expression matching on GPGPUs: quantitative performance analysis and optimization

Parallel multiclass classification using SVMs on GPUs

Strategies to minimise the total run time of cyclic graph based genetic programming with GPUs

Distributed genetic programming on GPUs using CUDA

Accelerating evolutionary computation with graphics processing units

Implicit Parallel Time Integrators

A Multi-Stage CUDA Kernel for Floyd-Warshall

MPI-CUDA parallelization of a finite-strip program for geometric nonlinear analysis: A hybrid approach

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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