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Fast and automatic object pose estimation for range images on the GPU

In Park, Marcel Germann, Michael Breitenstein, Hanspeter Pfister

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

December 13, 2010 by hgpu

A GPU Tile-Load-Map architecture for terrain rendering: theory and applications

Yacine Amara, Xavier Marsault

Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, Rendering

December 13, 2010 by hgpu

Accelerating Compute-Intensive Applications with GPUs and FPGAs

Shuai Che, Jie Li, Jeremy W. Sheaffer, Kevin Skadron, John Lach

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Tags: Architecture, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 8800 GTX, Package, Performance

December 13, 2010 by hgpu

Real-world comparison of CPU and GPU implementations of SNPrank: a network analysis tool for GWAS

Nicholas A. Davis, Ahwan Pandey, B. A. McKinney

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Tags: Bioinformatics, Biology, CUDA, Genetics, Medicine, nVidia, Package, Tesla M1060

December 13, 2010 by hgpu

New Row-grouped CSR format for storing the sparse matrices on GPU with implementation in CUDA

Tomas Oberhuber, Atsushi Suzuki, Jan Vacata

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Tags: Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, Sparse matrix

December 13, 2010 by hgpu

SWPS3 – fast multi-threaded vectorized Smith-Waterman for IBM Cell/B.E. and x86/SSE2

Adam Szalkowski, Christian Ledergerber, Philipp Kraehenbuehl, Christophe Dessimoz

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Tags: Biology, Cell processor, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Package, Sequence alignment, Smith-Waterman algorithm

December 12, 2010 by hgpu

Low viscosity flow simulations for animation

Jeroen Molemaker, Jonathan M. Cohen, Sanjit Patel, Jonyong Noh

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Tags: 3D Graphics and Realism, Computer science, CUDA, Fluid dynamics, nVidia, nVidia GeForce 8800 GTX, Partial differential equations, PDEs

December 12, 2010 by hgpu

Deforming a High-Resolution Mesh in Real-Time by Mapping onto a Low-Resolution Physical Model

Hans de Visser, Olivier Comas, David Conlan, Sebastien Ourselin, Josh Passenger, Olivier Salvado

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Tags: Computed tomography, CT, CUDA, Image processing, Medicine, nVidia, nVidia GeForce 8800 GTX

December 12, 2010 by hgpu

MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs

John Stratton, Sam Stone, Wen-Mei Hwu

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Tags: Computer science, CUDA, High-level Languages, nVidia, Package

December 12, 2010 by hgpu

Towards systematic exploration of tradeoffs for medical image registration on heterogeneous platforms

W. Plishker, O. Dandekar, S. S. Bhattacharyya, R. Shekhar

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Tags: Computed tomography, CT, CUDA, Image processing, Image registration, Medicine, nVidia, nVidia GeForce 8800 GTX

December 12, 2010 by hgpu

Exploring Parallel Algorithms for Volumetric Mass-Spring-Damper Models in CUDA

Allan Rasmusson, Jesper Mosegaard, Thomas S. Sorensen

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Tags: Biology, CUDA, Medicine, nVidia, nVidia GeForce 8800 GTX

December 12, 2010 by hgpu

Map-reduce as a Programming Model for Custom Computing Machines

Jackson H. C. Yeung, C. C. Tsang, K. H. Tsoi, Bill S. H. Kwan, Chris C. C. Cheung, Anthony P. C. Chan, Philip H. W. Leong

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Tags: Computer science, CUDA, FPGA, MapReduce, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GTX, Signal processing

December 12, 2010 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

Fast and automatic object pose estimation for range images on the GPU

A GPU Tile-Load-Map architecture for terrain rendering: theory and applications

Accelerating Compute-Intensive Applications with GPUs and FPGAs

Real-world comparison of CPU and GPU implementations of SNPrank: a network analysis tool for GWAS

New Row-grouped CSR format for storing the sparse matrices on GPU with implementation in CUDA

SWPS3 – fast multi-threaded vectorized Smith-Waterman for IBM Cell/B.E. and x86/SSE2

Low viscosity flow simulations for animation

Deforming a High-Resolution Mesh in Real-Time by Mapping onto a Low-Resolution Physical Model

MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs

Towards systematic exploration of tradeoffs for medical image registration on heterogeneous platforms

Exploring Parallel Algorithms for Volumetric Mass-Spring-Damper Models in CUDA

Map-reduce as a Programming Model for Custom Computing Machines

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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