high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Accelerating geoscience and engineering system simulations on graphics hardware

Stuart D. C. Walsh, Martin O. Saar, Peter Bailey, David J. Lilja

Tags: CUDA, Earth and Space Sciences, Geoscience, Lattice Boltzmann model, nVidia, Seismology

November 27, 2010 by hgpu

Simulation of Shallow-Water systems using Graphics Processing Units

Miguel Lastra, Jose M. Mantas, Carlos Urena, Manuel J. Castro, Jose A. Garcia-Rodriguez

Tags: Algorithms, Computer science, nVidia, Programming techniques

November 27, 2010 by hgpu

A massively parallel adaptive fast-multipole method on heterogeneous architectures

Ilya Lashuk, Aparna Chandramowlishwaran, Harper Langston, Tuan A. Nguyen, Rahul Sampath, Aashay Shringarpure, Richard Vuduc, Lexing Ying, Denis Zorin, George Biros

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Tags: Computer science, CUDA, Fast multipole method, GPU cluster, MPI, N-body simulation, nVidia, Programming techniques, Tesla S1070

November 27, 2010 by hgpu

An Extension of the StarSs Programming Model for Platforms with Multiple GPUs

Eduard Ayguade, Rosa Badia, Francisco Igual, Jesus Labarta, Rafael Mayo, Enrique Quintana-Orti

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla S1070

November 27, 2010 by hgpu

Quantum computer simulation using the CUDA programming model

Eladio Gutierrez, Sergio Romero, Maria A. Trenas, Emilio L. Zapata

Tags: Computer science, CUDA, nVidia, Quantum computing

November 27, 2010 by hgpu

Predictive Runtime Code Scheduling for Heterogeneous Architectures

Victor Jimenez, Lluis Vilanova, Isaac Gelado, Marisa Gil, Grigori Fursin, Nacho Navarro

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8600 GTS, Task scheduling

November 27, 2010 by hgpu

Exploiting graphical processing units for data-parallel scientific applications

A. Leist, D. P. Playne, K. A. Hawick

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Tags: Computer science, CUDA, Field equations, Graph theory, nVidia, nVidia GeForce 8800 GTS

November 27, 2010 by hgpu

CUDA-MEME: Accelerating Motif Discovery in Biological Sequences Using CUDA-enabled Graphics Processing Units

Yongchao Liu, Bertil Schmidt, Weiguo Liu, Douglas L. Maskell

Tags: Biology, CUDA, nVidia, nVidia GeForce GTX 280, Pattern recognition

November 27, 2010 by hgpu

Performance Analysis of IBM Cell Broadband Engine on Sequence Alignment

Yang Song, Gregory M. Striemer, Ali Akoglu

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Tags: Bioinformatics, Biology, Cell processor, CUDA, nVidia, Sequence alignment, Smith-Waterman algorithm, Tesla C870

November 27, 2010 by hgpu

Numerical linear algebra on emerging architectures: The PLASMA and MAGMA projects

Emmanuel Agullo, Jim Demmel, Jack Dongarra, Bilel Hadri, Jakub Kurzak, Julien Langou, Hatem Ltaief, Piotr Luszczek, Stanimire Tomov

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Tags: Algorithms, Computer science, Linear Algebra, Matrix multiplication

November 27, 2010 by hgpu

Molecular dynamics simulation of complex multiphase flow on a computer cluster with GPUs

Feiguo Chen, Wei Ge, Jinghai Li

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Tags: Chemistry, CUDA, GPU cluster, Molecular dynamics, MPI, nVidia, Tesla C870

November 27, 2010 by hgpu

Solving Sparse Linear Systems on NVIDIA Tesla GPUs

Mingliang Wang, Hector Klie, Manish Parashar, Hari Sudan

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Sparse matrix, Tesla T10P

November 27, 2010 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Accelerating geoscience and engineering system simulations on graphics hardware

Simulation of Shallow-Water systems using Graphics Processing Units

A massively parallel adaptive fast-multipole method on heterogeneous architectures

An Extension of the StarSs Programming Model for Platforms with Multiple GPUs

Quantum computer simulation using the CUDA programming model

Predictive Runtime Code Scheduling for Heterogeneous Architectures

Exploiting graphical processing units for data-parallel scientific applications

CUDA-MEME: Accelerating Motif Discovery in Biological Sequences Using CUDA-enabled Graphics Processing Units

Performance Analysis of IBM Cell Broadband Engine on Sequence Alignment

Numerical linear algebra on emerging architectures: The PLASMA and MAGMA projects

Molecular dynamics simulation of complex multiphase flow on a computer cluster with GPUs

Solving Sparse Linear Systems on NVIDIA Tesla GPUs

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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