high performance computing on graphics processing units: hgpu.org

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Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures

Abtin Rahimian, Ilya Lashuk, Shravan Veerapaneni, Aparna Chandramowlishwaran, Dhairya Malhotra, Logan Moon, Rahul Sampath, Aashay Shringarpure, Jeffrey Vetter, Richard Vuduc, Denis Zorin, George Biros

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Tags: CUDA, Fluid dynamics, GPU cluster, Medicine, MPI, N-body simulation, nVidia, Tesla S1070

April 28, 2011 by hgpu

An 80-Fold Speedup, 15.0 TFlops Full GPU Acceleration of Non-Hydrostatic Weather Model ASUCA Production Code

Takashi Shimokawabe, Takayuki Aoki, Chiashi Muroi, Junichi Ishida, Kohei Kawano, Toshio Endo, Akira Nukada, Naoya Maruyama, Satoshi Matsuoka

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Tags: CUDA, Earth and Space Sciences, GPU cluster, nVidia, Tesla S1070, Weather Prediction Model

April 28, 2011 by hgpu

Improving numerical reproducibility and stability in large-scale numerical simulations on GPUs

Michela Taufer, Omar Padron, Philip Saponaro, Sandeep Patel

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Tags: Chemistry, CUDA, Floating point error, Molecular dynamics, nVidia, Tesla S1070

April 25, 2011 by hgpu

Automatically generating and tuning GPU code for sparse matrix-vector multiplication from a high-level representation

Dominik Grewe, Anton Lokhmotov

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Tags: ATI, ATI Radeon HD 5970, Code generation, Computer science, CUDA, High-level Languages, Linear Algebra, nVidia, OpenCL, Sparse matrix, Tesla S1070

April 21, 2011 by hgpu

Hybrid Map Task Scheduling for GPU-Based Heterogeneous Clusters

Koichi Shirahata, Hitoshi Sato, Satoshi Matsuoka

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Presentation, Task scheduling, Tesla S1070

April 16, 2011 by hgpu

A high-performance fault-tolerant software framework for memory on commodity GPUs

Naoya Maruyama, Akira Nukada, Satoshi Matsuoka

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Tags: Computer science, CUDA, Fault simulation, FFT, Matrix multiplication, N-body simulation, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 285, Tesla S1070

April 14, 2011 by hgpu

A Multi-GPU Spectrometer System for Real-Time Wide Bandwidth Radio Signal Analysis

Hirofumi Kondo, Eric Heien, Masao Okita, Dan Werthimer, Kenichi Hagihara

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Tags: CUDA, FFT, nVidia, Signal processing, Tesla C1060, Tesla S1070

April 13, 2011 by hgpu

DecGPU: distributed error correction on massively parallel graphics processing units using CUDA and MPI

Yongchao Liu, Bertil Schmidt, Douglas Maskell

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Source codes

Tags: Bioinformatics, Biology, CUDA, MPI, Next-Generation sequencing, nVidia, OpenMP, Package, Tesla S1070

April 11, 2011 by hgpu

Fast seismic modeling and Reverse Time Migration on a GPU cluster

Rached Abdelkhalek, Henri Calendra, Olivier Coulaud, Jean Roman, Guillaume Latu

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Tags: CUDA, Earth and Space Sciences, Finite difference, GPU cluster, nVidia, Seismic modeling, Seismology, Tesla S1070

April 10, 2011 by hgpu

Scaling Hierarchical N-body Simulations on GPU Clusters

Pritish Jetley, Lukasz Wesolowski, Filippo Gioachin, Laxmikant V. Kale, Thomas R. Quinn

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Tags: Astrophysics, Cosmology, CUDA, GPU cluster, N-body simulation, nVidia, nVidia GeForce 8800 GTS, Physics, Tesla S1070

April 7, 2011 by hgpu

Neuromorphic models on a GPGPU cluster

Bing Han, T.M. Taha

Tags: Biology, GPU cluster, MPI, Neuroscience, nVidia, Tesla S1070

April 5, 2011 by hgpu

Exploring utilisation of GPU for database applications

Slawomir Walkowiak, Konrad Wawruch, Marita Nowotka, Lukasz Ligowski, Witold Rudnicki

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

March 19, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures

An 80-Fold Speedup, 15.0 TFlops Full GPU Acceleration of Non-Hydrostatic Weather Model ASUCA Production Code

Improving numerical reproducibility and stability in large-scale numerical simulations on GPUs

Automatically generating and tuning GPU code for sparse matrix-vector multiplication from a high-level representation

Hybrid Map Task Scheduling for GPU-Based Heterogeneous Clusters

A high-performance fault-tolerant software framework for memory on commodity GPUs

A Multi-GPU Spectrometer System for Real-Time Wide Bandwidth Radio Signal Analysis

DecGPU: distributed error correction on massively parallel graphics processing units using CUDA and MPI

Fast seismic modeling and Reverse Time Migration on a GPU cluster

Scaling Hierarchical N-body Simulations on GPU Clusters

Neuromorphic models on a GPGPU cluster

Exploring utilisation of GPU for database applications

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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