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Optimizing LZSS Compression on GPGPUs

Adnan Ozsoy, Martin Swany, Arun Chauhan

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, String matching, Tesla C2075

December 29, 2013 by hgpu

Candidate set parallelization strategies for Ant Colony Optimization on the GPU

Laurence Dawson, Iain A. Stewart

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580

December 29, 2013 by hgpu

Algorithms for manipulating large geometric data

Jiri Skala

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Tags: 3D Graphics and Realism, Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Thesis

December 29, 2013 by hgpu

Accelerating Computational Algorithms

Michael Risley

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Tags: Algorithms, APU, ATI, Computer science, nVidia, nVidia GeForce GTX 570, OpenCL, Thesis

December 29, 2013 by hgpu

Implementing Neural Networks Efficiently

Ronan Collobert, Koray Kavukcuoglu, Clement Farabet

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Tags: Algorithms, Computer science, CUDA, Machine learning, Neural networks, nVidia, Tesla M2090

December 29, 2013 by hgpu

OpenCL Programming by Example

Ravishekhar Banger, Koushik Bhattacharyya

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Tags: Book, Computer science, Image processing, Matrix multiplication, Memory model, Nearest neighbour, OpenCL, OpenGL, Pattern recognition, Tutorial

December 27, 2013 by hgpu

BbmTTP: Beat-based Parallel Simulated Annealing Algorithm on GPGPUs for the Mirrored Traveling Tournament Problem

Vijay Menon, Saurabh Jha

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Package, Tesla M2050

December 27, 2013 by hgpu

Multi-GPU Load Balancing for In-Situ Simulation and Visualization

Yong Cao, Robert Hagan

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Tags: Computer science, nVidia, nVidia GeForce GTX 295, Rendering, Task scheduling, Visualization

December 27, 2013 by hgpu

BIDMach: Large-scale Learning with Zero Memory Allocation

John Canny, Huasha Zhao

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Tags: Benchmarking, Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 690

December 25, 2013 by hgpu

Building Multiclass Nonlinear Classifiers with GPUs

Ignacio Arnaldo, Kalyan Veeramachaneni, Una-May O'Reilly

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 690

December 25, 2013 by hgpu

Efficiency analysis of a physical problem: Different parallel computational approaches for a dynamical integrator evolution

Adriana Gaudiani, Alejandro Soba, M. Florencia Carusela

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Tags: Algorithms, Computer science, CUDA, MPI, nVidia, nVidia GeForce GTX 560 Ti, Performance

December 25, 2013 by hgpu

Adaptive Task Size Control on High Level Programming for GPU/CPU Work Sharing

Tetsuya Odajima, Taisuke Boku, Mitsuhisa Sato, Toshihiro Hanawa, Yuetsu Kodama, Raymond Namyst, Samuel Thibault, Olivier Aumage

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Package, Performance, Task scheduling, Tesla M2090

December 25, 2013 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

Optimizing LZSS Compression on GPGPUs

Candidate set parallelization strategies for Ant Colony Optimization on the GPU

Algorithms for manipulating large geometric data

Accelerating Computational Algorithms

Implementing Neural Networks Efficiently

OpenCL Programming by Example

BbmTTP: Beat-based Parallel Simulated Annealing Algorithm on GPGPUs for the Mirrored Traveling Tournament Problem

Multi-GPU Load Balancing for In-Situ Simulation and Visualization

BIDMach: Large-scale Learning with Zero Memory Allocation

Building Multiclass Nonlinear Classifiers with GPUs

Efficiency analysis of a physical problem: Different parallel computational approaches for a dynamical integrator evolution

Adaptive Task Size Control on High Level Programming for GPU/CPU Work Sharing

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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