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A dataflow-like programming model for future hybrid clusters

Jens Breitbart

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Tags: Cluster computing, Computer science, CUDA, Distributed data structures, Hybrid computing, nVidia, nVidia GeForce GTX 480, Tesla C2050

January 28, 2013 by hgpu

Developing and Evaluating clOpenCL Applications for Heterogeneous Clusters

Tiago Filipe Rodrigues Ribeiro

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Tags: Cluster computing, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 460, OpenCL, Thesis

January 24, 2013 by hgpu

Image Processing using Parallel Computing

Mohamed Khalifa

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Tags: Cluster computing, CUDA, Image processing, MPI, nVidia, nVidia GeForce GTX 280

December 15, 2012 by hgpu

Simulations of Complex and Microscopic Models of Cardiac Electrophysiology Powered by Multi-GPU Platforms

Bruno Gouvea de Barros, Rafael Sachetto Oliveira, Wagner Meira Jr., Marcelo Lobosco, Rodrigo Weber dos Santos

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Tags: Cluster computing, CUDA, Heterogeneous systems, Medicine, nVidia, ODEs, Ordinary differential equations, Partial differential equations, PDEs, Tesla C1060

December 3, 2012 by hgpu

clOpenCL – Supporting Distributed Heterogeneous Computing in HPC Clusters

Albano Alves, Jose Rufino, Antonio Pina, Luis Paulo Santos

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Tags: Cluster computing, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 460, OpenCL

November 29, 2012 by hgpu

Performance Analysis Cluster and GPU Computing Environment on Molecular Dynamic Simulation of BRV-1 and REM2 with GROMACS

Heru Suhartanto, Arry Yanuar, Ari Wibisono

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Tags: Cluster computing, Computer science, CUDA, GPU cluster, Molecular dynamics, nVidia, nVidia GeForce GTS 250, nVidia GeForce GTX 465, nVidia GeForce GTX 470, nVidia Quadro FX 4000

October 17, 2012 by hgpu

Relativistic Hydrodynamics on Graphic Cards

Jochen Gerhard, Volker Lindenstruth, Marcus Bleicher

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Cluster computing, High Energy Physics - Phenomenology, High Energy Physics - Theory, Molecular dynamics, OpenCL, Performance, Physics, QCD

June 6, 2012 by hgpu

Parallel Spherical Harmonic Transforms on heterogeneous architectures (GPUs/multi-core CPUs)

Mikolaj Szydlarski, Pierre Esterie, Joel Falcou, Laura Grigori, Radek Stompor

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Tags: Algorithms, Astrophysics, Cluster computing, Computational Physics, Cosmology, Cosmology and Extragalactic Astrophysics, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 480, Tesla S1070

June 6, 2012 by hgpu

Automatic Code Generation and Adaptive Grid Scheduling for GPU Cluster Computing

Xuyuan Jin

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Tags: Cluster computing, Code generation, Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 570

January 21, 2012 by hgpu

Spatial Sorting Algorithms for Parallel Computing in Networks

Max OrHai, Christof Teuscher

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Tags: Algorithms, Cluster computing, Computer science, Sorting

January 9, 2012 by hgpu

A Dynamic Approach to Weighted Suffix Tree Construction Algorithm

Binay Kumar Pandey, Rajdeep Niyogi, Ankush Mittal

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Tags: Algorithms, Cluster computing, Computer science, CUDA, nVidia, nVidia Quadro FX 3700, Suffix trees

December 11, 2011 by hgpu

Molecular Dynamics Simulation Based on Hadoop MapReduce

Chen He

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Tags: Chemistry, Cluster computing, CUDA, MapReduce, Molecular dynamics, nVidia, nVidia GeForce 9400 GT, Physics, Thesis

November 28, 2011 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

* * *

high performance computing on graphics processing units: hgpu.org

A dataflow-like programming model for future hybrid clusters

Developing and Evaluating clOpenCL Applications for Heterogeneous Clusters

Image Processing using Parallel Computing

Simulations of Complex and Microscopic Models of Cardiac Electrophysiology Powered by Multi-GPU Platforms

clOpenCL – Supporting Distributed Heterogeneous Computing in HPC Clusters

Performance Analysis Cluster and GPU Computing Environment on Molecular Dynamic Simulation of BRV-1 and REM2 with GROMACS

Relativistic Hydrodynamics on Graphic Cards

Parallel Spherical Harmonic Transforms on heterogeneous architectures (GPUs/multi-core CPUs)

Automatic Code Generation and Adaptive Grid Scheduling for GPU Cluster Computing

Spatial Sorting Algorithms for Parallel Computing in Networks

A Dynamic Approach to Weighted Suffix Tree Construction Algorithm

Molecular Dynamics Simulation Based on Hadoop MapReduce

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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