high performance computing on graphics processing units: hgpu.org

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Implicit and dynamic trees for high performance rendering

Nathan Andrysco, Xavier Tricoche

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Tags: 3D Graphics and Realism, Computer science, CUDA, KD-tree, nVidia, nVidia GeForce GTX 480, Raytracing, Rendering

September 16, 2011 by hgpu

Fast Monte Carlo Simulation for Patient-specific CT/CBCT Imaging Dose Calculation

Xun Jia, Hao Yan, Xuejun Gu, Steve B. Jiang

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Tags: Computed tomography, CT, CUDA, Heterogeneous systems, Medical Physics, Medicine, Monte Carlo simulation, nVidia, Physics, Tesla C2050, Tomography

September 16, 2011 by hgpu

Processing data streams with hard real-time constraints on heterogeneous systems

Uri Verner, Assaf Schuster, Mark Silberstein

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Tags: AES, Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, Performance, Security, Task scheduling

September 15, 2011 by hgpu

Performing with CUDA

William B. Langdon

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Tags: Computer science, CUDA, nVidia, Operating systems, Performance, Review, Software Engineering, Tutorial

September 15, 2011 by hgpu

Fast Mersenne prime testing on the GPU

Andrew Thall

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Tags: Algorithms, Benchmarking, CUDA, Mathematical Software, Mathematics, nVidia, nVidia GeForce GTX 480, Optimization, Performance, Tesla C2050

September 15, 2011 by hgpu

Scaling Lattice QCD beyond 100 GPUs

R. Babich, M. A. Clark, B. Joo, G. Shi, R. C. Brower, S. Gottlieb

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Tags: Computational Physics, CUDA, GPU cluster, High Energy Physics - Lattice, nVidia, OpenMPI, Package, Physics, QCD, Tesla M2050

September 15, 2011 by hgpu

Auto-tuning of fast fourier transform on graphics processors

Yuri Dotsenko, Sara S. Baghsorkhi, Brandon Lloyd, Naga K. Govindaraju

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Tags: Computer science, CUDA, FFT, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 260, nVidia GeForce GTX 280, Performance, Software Engineering

September 14, 2011 by hgpu

Shadowfax: scaling in heterogeneous cluster systems via GPGPU assemblies

Alexander M. Merritt, Vishakha Gupta, Abhishek Verma, Ada Gavrilovska, Karsten Schwan

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GTS, Performance, Virtualization

September 14, 2011 by hgpu

Nikola: embedding compiled GPU functions in Haskell

Geoffrey Mainland, Greg Morrisett

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Tags: Code generation, Computer science, CUDA, nVidia, Package, Programming Languages, Tesla T10

September 14, 2011 by hgpu

A practical approach of curved ray prestack Kirchhoff Time Migration on GPGPU

Xiaohua Shi, Chuang Li, Xu Wang, Kang Li

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Tags: Algorithms, CUDA, Earth and Space Sciences, Floating point error, Geoscience, nVidia, nVidia GeForce 8800 GT, Optimization, Tesla C870

September 14, 2011 by hgpu

Subpixel reconstruction antialiasing for deferred shading

Matthaus G. Chajdas, Morgan McGuire, David Luebke

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 480

September 14, 2011 by hgpu

Computational stereo camera system with programmable control loop

Simon Heinzle, Pierre Greisen, David Gallup, Christine Chen, Daniel Saner, Aljoscha Smolic, Andreas Burg, Wojciech Matusik, Markus Gross

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 480, Stereo vision, Visualization

September 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

Implicit and dynamic trees for high performance rendering

Fast Monte Carlo Simulation for Patient-specific CT/CBCT Imaging Dose Calculation

Processing data streams with hard real-time constraints on heterogeneous systems

Performing with CUDA

Fast Mersenne prime testing on the GPU

Scaling Lattice QCD beyond 100 GPUs

Auto-tuning of fast fourier transform on graphics processors

Shadowfax: scaling in heterogeneous cluster systems via GPGPU assemblies

Nikola: embedding compiled GPU functions in Haskell

A practical approach of curved ray prestack Kirchhoff Time Migration on GPGPU

Subpixel reconstruction antialiasing for deferred shading

Computational stereo camera system with programmable control loop

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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