high performance computing on graphics processing units: hgpu.org

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Speed and Portability issues for Random Number Generation on Graphical Processing Units with CUDA and other Processing Accelerators

K.A. Hawick, A. Leist, D.P. Playne, M.J. Johnson

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Tags: Cell processor, Computer science, Monte Carlo simulation, nVidia, nVidia GeForce GTX 295, Pseudo-random number generators

February 13, 2011 by hgpu

Data parallel acceleration of decision support queries using Cell/BE and GPUs

Pedro Trancoso, Despo Othonos, Artemakis Artemiou

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Tags: Algorithms, Cell processor, Computer science, DirectX, nVidia, nVidia GeForce 8500 GT, nVidia GeForce 8800 GTS, Performance, RapidMind

February 7, 2011 by hgpu

Financial modeling on the cell broadband engine

Virat Agarwal, Lurng-Kuo Liu, David A. Bader

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Tags: Cell processor, CUDA, Finance, Monte Carlo simulation, nVidia, nVidia GeForce 8800, RapidMind

February 6, 2011 by hgpu

Evaluating multi-core platforms for HPC data-intensive kernels

Alexander S. van Amesfoort, Ana Lucia Varbanescu, Henk J. Sips, Rob V. van Nieuwpoort

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Tags: Algorithms, Cell processor, Computer science, CUBLAS, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Programming techniques, Tesla C1060

February 6, 2011 by hgpu

Top-Performance Tokenization and Small-Ruleset Regular Expression Matching: A Quantitative Performance Analysis and Optimization Study on the Cell/B.E. Processor

Daniele Paolo Scarpazza

Tags: Algorithms, Cell processor, Computer science, Pattern Search

January 31, 2011 by hgpu

Correlating Radio Astronomy Signals with Many-Core Hardware

Rob van Nieuwpoort, John Romein

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Tags: Astrophysics, ATI, ATI CAL, ATI Radeon HD 4870, ATI Stream, Brook, Cell processor, CUDA, nVidia, OpenCL, Performance, Physics, Signal processing, Tesla C1060

January 26, 2011 by hgpu

Supercomputing with toys: harnessing the power of NVIDIA 8800GTX and playstation 3 for bioinformatics problem

Justin Wilson, Manhong Dai, Elvis Jakupovic, Stanley Watson, Fan Meng

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Tags: Bioinformatics, Cell processor, CUDA, nVidia, nVidia GeForce 8800 GTX, Performance, Playstation, RapidMind

January 26, 2011 by hgpu

Understanding the design trade-offs among current multicore systems for numerical computations

Seunghwa Kang, David A. Bader, Richard W. Vuduc

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Tags: Cell processor, Computer science, CUDA, nVidia, Performance, Tesla C1060

January 11, 2011 by hgpu

CBESW: sequence alignment on the Playstation 3

Adrianto Wirawan, Chee Keong K. Kwoh, Nim Tri T. Hieu, Bertil Schmidt

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Source codes

Tags: Algorithms, Bioinformatics, Biology, BLAST, Cell processor, CUDA, nVidia, nVidia GeForce 8800 GTX, Package, Playstation, Sequence alignment, Smith-Waterman algorithm

January 8, 2011 by hgpu

Analysis of a Computational Biology Simulation Technique on Emerging Processing Architectures

Jeremy S. Meredith, Sadaf R. Alam, Jeffrey S. Vetter

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Tags: Biology, Cell processor, Cg, Computational biology, Molecular dynamics, nVidia, nVidia GeForce 7900 GTX

January 2, 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

Fine-grain Parallelism Using Multi-core, Cell/BE, and GPU Systems: Accelerating the Phylogenetic Likelihood Function

Frederico Pratas, Pedro Trancoso, Alexandros Stama

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Tags: Cell processor, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 285, Performance, Programming techniques

December 24, 2010 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

Speed and Portability issues for Random Number Generation on Graphical Processing Units with CUDA and other Processing Accelerators

Data parallel acceleration of decision support queries using Cell/BE and GPUs

Financial modeling on the cell broadband engine

Evaluating multi-core platforms for HPC data-intensive kernels

Top-Performance Tokenization and Small-Ruleset Regular Expression Matching: A Quantitative Performance Analysis and Optimization Study on the Cell/B.E. Processor

Correlating Radio Astronomy Signals with Many-Core Hardware

Supercomputing with toys: harnessing the power of NVIDIA 8800GTX and playstation 3 for bioinformatics problem

Understanding the design trade-offs among current multicore systems for numerical computations

CBESW: sequence alignment on the Playstation 3

Analysis of a Computational Biology Simulation Technique on Emerging Processing Architectures

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

Fine-grain Parallelism Using Multi-core, Cell/BE, and GPU Systems: Accelerating the Phylogenetic Likelihood Function

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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