high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Improved Programming of GPU Architectures through Automated Data Allocation and Loop Restructuring

Andrea Di Biagio, Giovanni Agosta

Tags: Computer science, CUDA, nVidia, OpenMP, Programming techniques

June 21, 2011 by hgpu

GPU-based motion correction of contrast-enhanced liver MRI scans: An OpenCL implementation

Jihun Oh, Diego Martin, Oskar Skrinjar

Tags: Image reconstruction, Medicine, MRI, nVidia, nVidia GeForce GTX 260 M, OpenCL

June 21, 2011 by hgpu

GPU accelerated rotation-based emission tomography reconstruction

S. Pedemonte, A. Bousse, K. Erlandsson, M. Modat, S. Arridge, B. F. Hutton, S. Ourselin

Source codes

Tags: CUDA, Image reconstruction, Medicine, nVidia, Package, Tomography

June 21, 2011 by hgpu

Performance evaluation of the multi-device OpenCL FDTD solver

Tomasz P. Stefanski, Nicolas Chavannes, Niels Kuster

Tags: Electrodynamics, FDTD, Finite-difference time-domain, GPU cluster, OpenCL

June 21, 2011 by hgpu

Protein alignment algorithms with an efficient backtracking routine on multiple GPUs

Jacek Blazewicz, Wojciech Frohmberg, Michal Kierzynka, Erwin Pesch, Pawel Wojciechowski

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Source codes

Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Package, Sequence alignment, Tesla S1070

June 21, 2011 by hgpu

Fast, parallel, GPU-based construction of space filling curves and octrees

Prekshu Ajmera, Rhushabh Goradia, Sharat Chandran, Srinivas Aluru

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800, Visualization

June 21, 2011 by hgpu

Reconfigurable Control Variate Monte-Carlo Designs for Pricing Exotic Options

Anson H.T. Tse, David B. Thomas, K.H. Tsoi, Wayne Luk

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Tags: CUDA, Finance, FPGA, Monte Carlo simulation, nVidia, Tesla C1060

June 20, 2011 by hgpu

Implementing Sparse Matrix-Vector multiplication using CUDA based on a hybrid sparse matrix format

Wei Cao, Lu Yao, Zongzhe Li, Yongxian Wang, Zhenghua Wang

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Sparse matrix

June 20, 2011 by hgpu

Second Order Pre-Integrated Volume Rendering

Jean-Francois El Hajjar, Stephane Marchesin, Jean-Michel Dischler, Catherine Mongenet

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Image generation, nVidia, nVidia GeForce 7800 GTX, OpenGL, Rendering

June 20, 2011 by hgpu

GPUs for fast triggering and pattern matching at the CERN experiment NA62

Gianluca Lamanna, Gianmaria Collazuol, Marco Sozzi

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Tags: CUDA, Data acquisition, High Energy Physics - Experiment, Nuclear Experiment, nVidia, Pattern recognition, Physics, Tesla C1060

June 20, 2011 by hgpu

Accelerating batched 1D-FFT with a CUDA-capable computer

R. de Beer, D. van Ormondt, F. Di Cesare, D. Graveron-Demilly, D.A. Karras, Z. Starcuk

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Tags: CUDA, FFT, Image processing, nVidia, nVidia GeForce 9600 GT, Signal processing

June 20, 2011 by hgpu

Distance field transform with an adaptive iteration method

Fan Chen, Ye Zhao

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Tags: Algorithms, Computer science, Distance transform

June 20, 2011 by hgpu

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

BioAgent Bench: An AI Agent Evaluation Suite for Bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Private LLM Inference on Consumer Blackwell GPUs: A Practical Guide for Cost-Effective Local Deployment in SMEs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

PhysProver: Advancing Automatic Theorem Proving for Physics

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Improved Programming of GPU Architectures through Automated Data Allocation and Loop Restructuring

GPU-based motion correction of contrast-enhanced liver MRI scans: An OpenCL implementation

GPU accelerated rotation-based emission tomography reconstruction

Performance evaluation of the multi-device OpenCL FDTD solver

Protein alignment algorithms with an efficient backtracking routine on multiple GPUs

Fast, parallel, GPU-based construction of space filling curves and octrees

Reconfigurable Control Variate Monte-Carlo Designs for Pricing Exotic Options

Implementing Sparse Matrix-Vector multiplication using CUDA based on a hybrid sparse matrix format

Second Order Pre-Integrated Volume Rendering

GPUs for fast triggering and pattern matching at the CERN experiment NA62

Accelerating batched 1D-FFT with a CUDA-capable computer

Distance field transform with an adaptive iteration method

Recent source codes

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

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

PhysProver: Advancing Automatic Theorem Proving for Physics

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

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