high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Accelerated Wide Baseline Matching using OpenCL

Jian Cao, Jie Liang, Xiao-fang Xie, Xun-qiang Hu

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Tags: Computer science, Computer vision, Image registration, nVidia, nVidia GeForce 8800 GT, OpenCL

February 12, 2013 by hgpu

Extending the Computational Application of Reaction-Diffusion Chemistry by Modelling Artificial Neural Networks

James Stovold

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Tags: Biology, Chemistry, CUDA, Neural networks, nVidia, nVidia GeForce 9600 M GT

February 12, 2013 by hgpu

Adaptation of the MapReduce programming framework to compute-intensive data-analytics kernels

Reza Farivar

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Tags: Computer science, CUDA, Heterogeneous systems, MapReduce, nVidia, nVidia GeForce GTX 275, Thesis

February 9, 2013 by hgpu

Distributed multi-node, multi-GPU, heterogeneous system for 3D image reconstruction in Electrical Capacitance Tomography – network performance and application analysis

Pawel Kapusta, Michal Majchrowicz, Dominik Sankowski, Lidia Jackowska-Strumillo, Robert Banasiak

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Tags: ATI, ATI Radeon HD 5970, FEM, Finite element method, Heterogeneous systems, Image processing, Image reconstruction, Linear Algebra, Medicine, nVidia, Tesla C2070, Tesla S1070, Tomography

February 9, 2013 by hgpu

A multi-lane traffic simulation model via continuous cellular automata

Emanuele Rodaro, Oznur Yeldan

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Source codes

Tags: Cellular automata, Computer science, CUDA, nVidia, nVidia GeForce GT 555 M, Package, Python

February 9, 2013 by hgpu

Practical Patient-Specific Cardiac Blood Flow Simulations Using SPH

Scott Kulp, Mingchen Gao, Shaoting Zhang, Zhen Qian, Szilard Voros, Dimitris Metaxas, Leon Axel

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Tags: Collision detection, CUDA, Fluid simulation, Heart, Medicine, nVidia, nVidia GeForce GTX 590

February 9, 2013 by hgpu

Enabling Inter-Machine Parallelism in High-Level Languages with SEJITS and MapReduce

Michael Driscoll, Evangelos Georganas, Penporn Koanantakool

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

February 9, 2013 by hgpu

Fast 3D Wavelet Transform on Multicore and Manycore Computing Platforms

V. Galiano, O. Lopez-Granado, M.P. Malumbres, H. Migallon

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Tags: Algorithms, Computer science, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, Optimization, Wavelet

February 9, 2013 by hgpu

Document Stream Clustering using GPUs

Michael J. Szaszy, Hanan Samet

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Tags: Algorithms, Clustering, Computer science, CUDA, Information Retrieval, nVidia, nVidia GeForce GTX 480, Performance

February 9, 2013 by hgpu

Effectiveness of program transformations and compilers for directive-based GPU programming models

Swapnil Avinash Ghike

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Tags: Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, Optimization, Performance, Tesla X2090, Thesis

February 9, 2013 by hgpu

Using Hybrid Shared and Distributed Caching for Mixed-Coherency GPU Workloads

Nasser Anssari

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Tags: Computer science, CUDA, nVidia, Performance, Thesis

February 9, 2013 by hgpu

GPU-based Monte Carlo radiotherapy dose calculation using phase-space sources

Reid Townson, Xun Jia, Zhen Tian, Yan Jiang Graves, Sergei Zavgorodni, Steve B Jiang

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Tags: Medical Physics, nVidia, nVidia GeForce GTX 580, Physics, Radiotherapy

February 9, 2013 by hgpu

Allo: Accelerator Design Language

Dato: A Task-Based Programming Model for Dataflow Accelerators

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

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

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high performance computing on graphics processing units: hgpu.org

Applications

Accelerated Wide Baseline Matching using OpenCL

Extending the Computational Application of Reaction-Diffusion Chemistry by Modelling Artificial Neural Networks

Adaptation of the MapReduce programming framework to compute-intensive data-analytics kernels

Distributed multi-node, multi-GPU, heterogeneous system for 3D image reconstruction in Electrical Capacitance Tomography – network performance and application analysis

A multi-lane traffic simulation model via continuous cellular automata

Practical Patient-Specific Cardiac Blood Flow Simulations Using SPH

Enabling Inter-Machine Parallelism in High-Level Languages with SEJITS and MapReduce

Fast 3D Wavelet Transform on Multicore and Manycore Computing Platforms

Document Stream Clustering using GPUs

Effectiveness of program transformations and compilers for directive-based GPU programming models

Using Hybrid Shared and Distributed Caching for Mixed-Coherency GPU Workloads

GPU-based Monte Carlo radiotherapy dose calculation using phase-space sources

Recent source codes

Allo: Accelerator Design Language

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

HPC Benchmark Survey

HDM: Home made Diffusion Models

General Matrix Multiplication (GEMM)

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

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