high performance computing on graphics processing units: hgpu.org

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Novel Multi-Layer Network Decomposition Boosting Acceleration of Multi-core Algorithms

Athanasios K. Grivas, Terrence Maky, Alex Yakovlev, Jonny Wrayz

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 560

June 2, 2013 by hgpu

Implementations of the FFT algorithm on GPU

Sreehari Ambuluri

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Tags: Algorithms, CUDA, DSP, FFT, nVidia, nVidia GeForce GTX 560, Signal processing, Thesis

May 4, 2013 by hgpu

CUDA Based CAMshift Algorithm for Object Tracking Systems

Ji Hoon Jo, Sang Gu Lee

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Tags: Algorithms, Computer science, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 560

April 27, 2013 by hgpu

SW# – GPU enabled exact alignments on genome scale

Matija Korpar, Mile Sikic

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Source codes

Tags: Bioinformatics, Biology, Computer science, CUDA, nVidia, nVidia GeForce GTX 560, nVidia GeForce GTX 570, nVidia GeForce GTX 690, Package, Sequence alignment, Smith-Waterman algorithm

April 23, 2013 by hgpu

OpenCL parallel Processing using General Purpose Graphical Processing units – TiViPE software development

Tino Lourens

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Tags: ATI, ATI Radeon HD 6310, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 560, OpenCL

April 1, 2013 by hgpu

A Multi-GPU Sources Reconstruction Method for Imaging Applications

Miguel Lopez-Portugues, Yuri Alvarez, Jesus A. Lopez-Fernandez, Cebrian Garcia, Rafael G. Ayestaran, Fernando Las-Heras

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Tags: CUDA, Electrodynamics, GPU cluster, nVidia, nVidia GeForce GTX 560, nVidia GeForce GTX 680, Signal processing

February 6, 2013 by hgpu

GPU Ray Tracing – Comparative Study of Ray-Triangle Intersection Algorithms

Vladimir Shumskiy, Alexandre Parshin

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Tags: ATI, ATI Radeon HD 6870, ATI Radeon HD 7850, Computer science, DirectX, nVidia, nVidia GeForce GT 240 M, nVidia GeForce GTX 560, Raytracing, Rendering

November 29, 2012 by hgpu

An implicit Tensor-Mass solver on the GPU for soft bodies simulation

X. Faure, F. Zara, F. Jaillet, J-M. Moreau

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Tags: 3D Graphics and Realism, Computer science, FEM, Finite element method, nVidia, nVidia GeForce GTX 560, OpenCL, Virtual reality

October 13, 2012 by hgpu

Sound Speed Optimization Using Image Texture on CUDA

Xingwu He, Huaguo Yin, Honglin Zhou, Xia Zhang

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 560, Optimization, Ultrasound

September 24, 2012 by hgpu

Real-Time Exact Graph Matching with Application in Human Action Recognition

Oya Celiktutan, Christian Wolf, Bulent Sankur, Eric Lombardi

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 560, Pattern recognition

August 13, 2012 by hgpu

Implementing Interactive 3D Segmentation on CUDA Using Graph-Cuts and Watershed Transformation

Jan Kolomaznik, Jan Horacek, Vaclav Krajicek, Josef Pelikan

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 560

July 7, 2012 by hgpu

An Improved CUDA-Based Implementation of Differential Evolution on GPU

A. K. Qin, Federico Raimondo, Florence Forbes, Yew Soon Ong

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Tags: Computer science, CUDA, Differential evolution, nVidia, nVidia GeForce GTX 560

June 18, 2012 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

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high performance computing on graphics processing units: hgpu.org

Novel Multi-Layer Network Decomposition Boosting Acceleration of Multi-core Algorithms

Implementations of the FFT algorithm on GPU

CUDA Based CAMshift Algorithm for Object Tracking Systems

SW# – GPU enabled exact alignments on genome scale

OpenCL parallel Processing using General Purpose Graphical Processing units – TiViPE software development

A Multi-GPU Sources Reconstruction Method for Imaging Applications

GPU Ray Tracing – Comparative Study of Ray-Triangle Intersection Algorithms

An implicit Tensor-Mass solver on the GPU for soft bodies simulation

Sound Speed Optimization Using Image Texture on CUDA

Real-Time Exact Graph Matching with Application in Human Action Recognition

Implementing Interactive 3D Segmentation on CUDA Using Graph-Cuts and Watershed Transformation

An Improved CUDA-Based Implementation of Differential Evolution on GPU

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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