high performance computing on graphics processing units: hgpu.org

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High-dimensional Planning on the GPU

Mark Henderson, Joseph T. Kider Jr., Maxim Likhachev, Alla Safonova

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Tags: Artificial intelligence, Computer science, CUDA, nVidia, Path problems, Tesla C870

March 14, 2011 by hgpu

A fast GPU algorithm for graph connectivity

Jyothish Soman, Kothapalli Kishore, P. J. Narayanan

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla C1060

March 14, 2011 by hgpu

GPU Accelerated Face Detection

Jiangang Kong, Yangdong Deng

Tags: Computer science, Computer vision, Image recognition, nVidia, nVidia GeForce GTX 280

March 14, 2011 by hgpu

Incoherent Ray tracing on GPU

Xin Yang, Duan-Qing Xu, Lei Zhao

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce 8800 Ultra, Raytracing

March 14, 2011 by hgpu

Hardware Acceleration of EDA Algorithms: Custom ICs, FPGAs and GPUs

Kanupriya Gulati and Sunil P. Khatri

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Tags: Book, CAD, Computer science, CUDA, Electronic design automation, FPGA, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 280, nVidia Quadro FX 5800, Review

March 14, 2011 by hgpu

Expanding the boundaries of GPU computing

Dell Power Solutions

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Tags: Computer science, CUDA, Hardware Architecture, nVidia, Review, Tesla M1060, Tesla M2050, Tesla M2070

March 14, 2011 by hgpu

Comparing GPU and CPU in OLAP Cubes Creation

Krzysztof Kaczmarski

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

March 13, 2011 by hgpu

Obsidian: GPU Programming in Haskell

Koen Claessen, Mary Sheeran, Joel Svensson

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Package

March 13, 2011 by hgpu

Obsidian: GPU Kernel Programming in Haskell (thesis)

Joel Svensson

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 320 M, nVidia GeForce GTX 480, Package, Thesis

March 13, 2011 by hgpu

GPU-based Multilevel Clustering

Iurie Chiosa, Andreas Kolb

Tags: 3D Graphics and Realism, Algorithms, Computer science, Voronoi diagram

March 13, 2011 by hgpu

Real-Time Image Segmentation on a GPU

Alexey Abramov, Tomas Kulvicius, F. Worgotter, B. Dellen

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 295, Real-time graphics

March 13, 2011 by hgpu

A Quantitative Performance Analysis Model for GPU Architectures

Yao Zhang, John D. Owens

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Tags: Computer science, CUDA, Hardware Architecture, Linear Algebra, nVidia, nVidia GeForce GTX 285, Optimization

March 13, 2011 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

See all packages

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high performance computing on graphics processing units: hgpu.org

High-dimensional Planning on the GPU

A fast GPU algorithm for graph connectivity

GPU Accelerated Face Detection

Incoherent Ray tracing on GPU

Hardware Acceleration of EDA Algorithms: Custom ICs, FPGAs and GPUs

Expanding the boundaries of GPU computing

Comparing GPU and CPU in OLAP Cubes Creation

Obsidian: GPU Programming in Haskell

Obsidian: GPU Kernel Programming in Haskell (thesis)

GPU-based Multilevel Clustering

Real-Time Image Segmentation on a GPU

A Quantitative Performance Analysis Model for GPU Architectures

Recent source codes

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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