high performance computing on graphics processing units: hgpu.org

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Hardware-Accelerated Raycasting: Towards an Effective Brain MRI Visualization

A.M. Adeshina, R. Hashim, N.E.A. Khalid, Siti Z.Z. Abidin

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Tags: Algorithms, Computational Geometry, Computer science, CUDA, Magnetic resonance imaging, MRI, nVidia, nVidia GeForce GT 430, Rendering, Visualization

November 27, 2012 by hgpu

CUDA-enabled Optimisation of Technical Analysis Parameters

John O'Rourke, John Burns

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Tags: CUDA, Finance, Genetic programming, nVidia, nVidia GeForce GT 430, nVidia GeForce GTX 480

November 19, 2012 by hgpu

A GPU operations framework for WattDB

Vitor Uwe Reus

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GT 430, Thesis

September 17, 2012 by hgpu

An Optimized Parallel IDCT on Graphics Processing Units

Biao Wang, Mauricio Alvarez-Mesa, Chi Ching Chi, Ben Juurlink

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Tags: Computer science, H.264/AVC, nVidia, nVidia GeForce GT 430, nVidia GeForce GTS 450, nVidia GeForce GTX 560 Ti, OpenCL

September 14, 2012 by hgpu

GPU and CPU Cooperative Accelaration for Face Detection on Modern Processors

Eric Li, Bin Wang, Liu Yang, Ya-ti Peng, Yangzhou Du, Yimin Zhang, Yi-Jen Chiu

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 430

August 5, 2012 by hgpu

Accelerating Lambert’s Problem on the GPU in MATLAB

Nathan L. Parrish

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Source codes

Tags: Algorithms, Computer science, CUDA, Fortran, nVidia, nVidia GeForce GT 430, nVidia GeForce GT 540 M, nVidia GeForce GTX 560 Ti, Package

June 16, 2012 by hgpu

Point to point processing of digital images using parallel computing

Eric Olmedo, Jorge de la Calleja, Antonio Benitez, Ma. Auxilio Medina

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GT 430

June 10, 2012 by hgpu

Algorithms acceleration of pattern-matching in multi-core architectures

David Rodenas Pico

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GT 430, nVidia GeForce GTX 320 M, Thesis

December 16, 2011 by hgpu

Parallel Approach for Longest Common Subsequence problem on GPU

Raik Issaoui, Amine Draief, Abdelfettah Belghith

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GT 430, OpenCL, Sequence matching

November 16, 2011 by hgpu

Parallel Computing the Longest Common Subsequence (LCS) on GPUs: Efficiency and Language Suitability

Amine Dhraief, Raik Issaoui, Abdelfettah Belghith

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GT 430, OpenCL, Sequence alignment

October 28, 2011 by hgpu

QCD simulations with staggered fermions on GPUs

C. Bonati, G. Cossu, M. D'Elia, P. Incardona

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Tags: ATI, ATI Radeon HD 5870, Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GT 430, OpenCL, Physics, Tesla C1060, Tesla C2050, Tesla C2070

June 29, 2011 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Hardware-Accelerated Raycasting: Towards an Effective Brain MRI Visualization

CUDA-enabled Optimisation of Technical Analysis Parameters

A GPU operations framework for WattDB

An Optimized Parallel IDCT on Graphics Processing Units

GPU and CPU Cooperative Accelaration for Face Detection on Modern Processors

Accelerating Lambert’s Problem on the GPU in MATLAB

Point to point processing of digital images using parallel computing

Algorithms acceleration of pattern-matching in multi-core architectures

Parallel Approach for Longest Common Subsequence problem on GPU

Parallel Computing the Longest Common Subsequence (LCS) on GPUs: Efficiency and Language Suitability

QCD simulations with staggered fermions on GPUs

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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