high performance computing on graphics processing units: hgpu.org

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High-throughput bayesian computing machine with reconfigurable hardware

Mingjie Lin, Ilia Lebedev, John Wawrzynek

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Tags: Bayesian, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 9400 M

January 9, 2011 by hgpu

Improving the Performance of Hyperspectral Image and Signal Processing Algorithms Using Parallel, Distributed and Specialized Hardware-Based Systems

Antonio Plaza, Javier Plaza, Hugo Vegas

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Tags: CUDA, FPGA, Image processing, MPI, nVidia, nVidia GeForce 8800 GTX, Signal processing

January 9, 2011 by hgpu

Self-Configuring Applications for Heterogeneous Systems: Program Composition and Optimization Using Cognitive Techniques

M. W. Hall, Y. Gil, R. F. Lucas

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Tags: Compilers, Computer science, FPGA, nVidia, Optimization, Performance

January 8, 2011 by hgpu

FPGA acceleration of the phylogenetic likelihood function for Bayesian MCMC inference methods

Stephanie Zierke, Jason Bakos

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Tags: Bioinformatics, Biology, FPGA

January 7, 2011 by hgpu

A design case study: CPU vs. GPGPU vs. FPGA

Daniel L. Rosenband, Till Rosenband

Tags: Computer science, CUDA, FPGA, nVidia

January 5, 2011 by hgpu

FPGA-based acceleration of CHARMM-potential minimization

Bharat Sukhwani, Martin C. Herbordt

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Tags: Chemistry, FPGA, Molecular modeling, nVidia, Performance, Tesla C1060

January 3, 2011 by hgpu

Wave field synthesis for 3D audio: architectural prospectives

Dimitris Theodoropoulos, Catalin Bogdan Ciobanu, Georgi Kuzmanov

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Tags: CUDA, FPGA, nVidia, nVidia GeForce 8600 GT, Signal processing

January 3, 2011 by hgpu

Performance comparison of single-precision SPICE Model-Evaluation on FPGA, GPU, Cell, and multi-core processors

Nachiket Kapre, Andre DeHon

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Tags: Cell processor, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 9600 GT, Performance

December 26, 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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Source codes

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

December 13, 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

Stereoscopic Scene Flow Computation for 3D Motion Understanding

Andreas Wedel, Thomas Brox, Tobi Vaudrey, Clemens Rabe, Uwe Franke, Daniel Cremers

Tags: Computer vision, FPGA, Image processing, Image reconstruction, Optical flow

December 9, 2010 by hgpu

FPGA-GPU architecture for kernel SVM pedestrian detection

Sebastian Bauer, Sebastian Kohler, Konrad Doll, Ulrich Brunsmann

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Tags: Computer vision, FPGA, Image processing, nVidia, nVidia GeForce GTX 295

December 9, 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

High-throughput bayesian computing machine with reconfigurable hardware

Improving the Performance of Hyperspectral Image and Signal Processing Algorithms Using Parallel, Distributed and Specialized Hardware-Based Systems

Self-Configuring Applications for Heterogeneous Systems: Program Composition and Optimization Using Cognitive Techniques

FPGA acceleration of the phylogenetic likelihood function for Bayesian MCMC inference methods

A design case study: CPU vs. GPGPU vs. FPGA

FPGA-based acceleration of CHARMM-potential minimization

Wave field synthesis for 3D audio: architectural prospectives

Performance comparison of single-precision SPICE Model-Evaluation on FPGA, GPU, Cell, and multi-core processors

Accelerating Compute-Intensive Applications with GPUs and FPGAs

Map-reduce as a Programming Model for Custom Computing Machines

Stereoscopic Scene Flow Computation for 3D Motion Understanding

FPGA-GPU architecture for kernel SVM pedestrian detection

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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