high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Accelerating Cost Aggregation for Real-Time Stereo Matching

Jianbin Fang, Ana Lucia Varbanescu, Jie Shen, Henk Sips, Gorkem Saygili, Laurens van der Maaten

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Tags: Algorithms, Image processing, nVidia, nVidia Quadro FX 5000, nVidia Quadro NVS 140 M, OpenCL, Optimization

October 13, 2012 by hgpu

.NET High Performance Computing

Hsuan-Hsiu Ou

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 440, nVidia GeForce GTX 480, Task scheduling, Thesis

October 13, 2012 by hgpu

Programming NVIDIA cards by means of transitive closure based parallelization algorithms

Marek Palkowski, Wlodzimierz Bielecki

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Tags: Computer science, CUDA, nVidia, Performance, Tesla S1070

October 13, 2012 by hgpu

Mesh Independent Loop Fusion for Unstructured Mesh Applications

Carlo Bertolli, Adam Betts, Gihan R. Mudalige, Paul H.J. Kelly, Michael B. Giles

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Tags: Computer science, CUDA, nVidia, Programming techniques, Tesla M2050

October 13, 2012 by hgpu

GPU-Based Local-Dimming for Power Efficient Imaging

Chihao Xu, Michael Krause, Jens Kruger

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Tags: Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 555 M

October 13, 2012 by hgpu

Automatic Parallelization of Tiled Loop Nests with Enhanced Fine-Grained Parallelism on GPUs

Peng Di, Ding Ye, Yu Su, Yulei Sui, Jingling Xue

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C1060, Tesla C2050

October 13, 2012 by hgpu

Accelerating Mean Shift Segmentation Algorithm on Hybrid CPU/GPU Platforms

Liang Men, Miaoqing Huang, John Gauch

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Tags: Algorithms, Clustering, CUDA, Image processing, nVidia, Tesla C2075

October 9, 2012 by hgpu

Applying Genetic Algorithms to Tune Heterogeneous Platform Configurations

Max Grossman, Sameer Kulkarni

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Tags: Algorithms, ATI, Computer science, Heterogeneous systems, Machine learning, OpenCL, Optimization

October 9, 2012 by hgpu

A PCG Implementation of an Elliptic Kernel in an Ocean Global Circulation Model Based on GPU Libraries

Salvatore Cuomo, Pasquale De Michele, Raffaele Farina, Marta Chinnici

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Tags: CUDA, Earth and Space Sciences, Mathematics, Numerical Analysis, nVidia, Tesla S2050

October 9, 2012 by hgpu

Streaming Parallel GPU Acceleration of Large-Scale filter-based Spiking Neural Networks

Leszek Slazynski, Sander Bohte

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Tags: Algorithms, ATI, ATI Radeon HD 7950, Computer science, Neural networks, nVidia, nVidia GeForce GTX 470, OpenCL

October 9, 2012 by hgpu

Efficient deconvolution methods for astronomical imaging: algorithms and IDL-GPU codes

M. Prato, R. Cavicchioli, L. Zanni, P. Boccacci, M. Bertero

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Source codes

Tags: Algorithms, Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, Numerical Analysis, nVidia, nVidia GeForce GTX 280, Package

October 9, 2012 by hgpu

Learning hash codes for efficient content reuse detection

Qi Zhang, Yan Wu, Zhuoye Ding, Xuanjing Huang

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Tags: Algorithms, Computer science, CUDA, Hashing, Information Retrieval, nVidia, nVidia Quadro FX 4000, Security

October 8, 2012 by hgpu

True 4-Bit Quantized CNN Training on CPU

True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

Hunting CUDA Bugs at Scale with cuFuzz

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

Making LLMs Optimize Multi-Scenario CUDA Kernels Like Experts

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

CONCUR: Benchmarking LLMs for Concurrent Code Generation

HIPRT: Ray Tracing using HIP

Ray Tracing using HIP

MXFP4 Training Support Codebase

Practical FP4 Training for Large-Scale MoE Models on Hopper GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Accelerating Cost Aggregation for Real-Time Stereo Matching

.NET High Performance Computing

Programming NVIDIA cards by means of transitive closure based parallelization algorithms

Mesh Independent Loop Fusion for Unstructured Mesh Applications

GPU-Based Local-Dimming for Power Efficient Imaging

Automatic Parallelization of Tiled Loop Nests with Enhanced Fine-Grained Parallelism on GPUs

Accelerating Mean Shift Segmentation Algorithm on Hybrid CPU/GPU Platforms

Applying Genetic Algorithms to Tune Heterogeneous Platform Configurations

A PCG Implementation of an Elliptic Kernel in an Ocean Global Circulation Model Based on GPU Libraries

Streaming Parallel GPU Acceleration of Large-Scale filter-based Spiking Neural Networks

Efficient deconvolution methods for astronomical imaging: algorithms and IDL-GPU codes

Learning hash codes for efficient content reuse detection

Recent source codes

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

HIPRT: Ray Tracing using HIP

MXFP4 Training Support Codebase

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