high performance computing on graphics processing units: hgpu.org

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Cortical architectures on a GPGPU

Andrew Nere, Mikko Lipasti

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Tags: Algorithms, Computer science, CUDA, Image recognition, nVidia, Programming techniques, Tesla C1060

February 2, 2011 by hgpu

SPH on GPU with CUDA

Alexis Herault, Giuseppe Bilotta, Robert A. Dalrymple

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Tags: CUDA, Fluid dynamics, Fluid simulation, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 280, Package, Particle simulation, Tesla C1060

February 1, 2011 by hgpu

Weak execution ordering – exploiting iterative methods on many-core GPUs

Jianmin Chen, Zhuo Huang, Feiqi Su, Jih-Kwon Peir, Jeff Ho, Lu Peng

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Tags: Computer vision, CUDA, Image processing, nVidia, Partial differential equations, PDEs, Tesla C1060

January 26, 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

Adaptable particle-in-cell algorithms for graphical processing units

Viktor K. Decyk, Tajendra V. Singh

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Tags: CUDA, nVidia, Particle-in-cell methods, Physics, Presentation, Tesla C1060

January 26, 2011 by hgpu

Swan: A tool for porting CUDA programs to OpenCL

M. J. Harvey, G. De Fabritiis

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Tags: Compilers, Computer science, CUDA, nVidia, OpenCL, Package, Tesla C1060

January 22, 2011 by hgpu

Direct N-body Kernels for Multicore Platforms

Nitin Arora, Aashay Shringarpure, Richard W. Vuduc

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Tags: Computer science, CUDA, N-body simulation, nVidia, Tesla C1060, Tesla C870

January 20, 2011 by hgpu

Accelerating Quadrature Methods for Option Valuation

Anson H. T. Tse, David B. Thomas, Wayne Luk

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Tags: CUDA, Finance, nVidia, nVidia GeForce 8600 GT, Tesla C1060

January 19, 2011 by hgpu

Towards microsecond biological molecular dynamics simulations on hybrid processors

Scott Hampton, Pratul K. Agarwal, Sadaf R. Alam, Paul S. Crozier

Tags: Bioinformatics, Biology, CUDA, Molecular dynamics, nVidia, Tesla C1060, Tesla C2050

January 19, 2011 by hgpu

Optimal Utilization of Heterogeneous Resources for Biomolecular Simulations

Scott S. Hampton, Sadaf R. Alam, Paul S. Crozier, Pratul K. Agarwal

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Tags: Bioinformatics, Biology, CUDA, Molecular dynamics, nVidia, Tesla C1060, Tesla C2050

January 19, 2011 by hgpu

A Multi-Stage CUDA Kernel for Floyd-Warshall

Ben Lund, Justin W Smith

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Tags: Computer science, CUDA, nVidia, Optimization, Performance, Programming techniques, Tesla C1060

January 18, 2011 by hgpu

Fast GPGPU Data Rearrangement Kernels using CUDA

Michael Bader, Hans-Joachim Bungartz, Dheevatsa Mudigere, Srihari Narasimhan, Babu Narayanan

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Tags: Computer science, CUDA, Data Structures and Algorithms, nVidia, Performance, Tesla C1060

January 18, 2011 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

Cortical architectures on a GPGPU

SPH on GPU with CUDA

Weak execution ordering – exploiting iterative methods on many-core GPUs

Correlating Radio Astronomy Signals with Many-Core Hardware

Adaptable particle-in-cell algorithms for graphical processing units

Swan: A tool for porting CUDA programs to OpenCL

Direct N-body Kernels for Multicore Platforms

Accelerating Quadrature Methods for Option Valuation

Towards microsecond biological molecular dynamics simulations on hybrid processors

Optimal Utilization of Heterogeneous Resources for Biomolecular Simulations

A Multi-Stage CUDA Kernel for Floyd-Warshall

Fast GPGPU Data Rearrangement Kernels using CUDA

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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