high performance computing on graphics processing units: hgpu.org

hgpu.org » Heterogeneous systems

Mapping the SBR and TW-ILDCs to Heterogeneous CPU-GPU Architecture for Fast Computation of Electromagnetic Scattering

P. C. Gao, Y. B. Tao, Z. H. Bai, H. Lin

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Tags: CUDA, Electrodynamics, Heterogeneous systems, nVidia, nVidia GeForce GTX 470

December 31, 2011 by hgpu

Scalable Fast Multipole Methods on Distributed Heterogeneous Architectures

Qi Hu, Nail A. Gumerov, Ramani Duraiswami

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Tags: Algorithms, Computer science, CUDA, Fast multipole method, Heterogeneous systems, N-body simulation, nVidia, nVidia GeForce GTX 480, Tesla C2050, Tesla S1070

December 29, 2011 by hgpu

Engineering Concurrent Software Guided by Statistical Performance Analysis

Clemens Grelck, Kevin Hammond, Heinz Hertlein, Philip Holzenspies, Chris Jesshope, Raimund Kirner, Bernd Scheuermann, Alex Shafarenko, Iraneus Te Boekhorst, Volkmar Wieser

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GT 425 M, Performance, Visualization

December 29, 2011 by hgpu

A Fast Algorithm for Constructing Inverted Files on Heterogeneous Platforms

Zheng Wei, Joseph JaJa

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

December 28, 2011 by hgpu

Modeling Parallel Programs for Heterogeneous Computing

Ferosh Jacob

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Performance

December 25, 2011 by hgpu

Scalable multi-GPU implementation of the MAGFLOW simulator

Eugenio Rustico, Giuseppe Bilotta, Alexis Herault, Ciro Del Negro, Giovanni Gallo

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Tags: CUDA, Earth and Space Sciences, Geoscience, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce GTX 480

December 24, 2011 by hgpu

Numerical solution of PDEs with hybrid and heterogeneous computing models

Markus Hegland

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Tags: Algorithms, CUDA, Differential equations, Fluid dynamics, Heterogeneous systems, nVidia, nVidia GeForce GTX 295, Partial differential equations, PDEs, Physics, Plasma physics, Review

December 23, 2011 by hgpu

Efficient shallow water simulations on GPUs: Implementation, visualization, verification, and validation

Andre R. Brodtkorb, Martin L. Saetra, Mustafa Altinakar

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Tags: CUDA, Fluid dynamics, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Visualization

December 22, 2011 by hgpu

A simulation suite for lattice Boltzmann based real time CFD applications exploiting multi-level parallelism on modern multi-and many-core architectures

Markus Geveler, Dirk Ribbrock, Sven Mallach, Dominik Goddeke

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Tags: CUDA, Fluid dynamics, Heterogeneous systems, Lattice Boltzmann model, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285

December 21, 2011 by hgpu

Towards Automatic C Programs Optimization and Parallelization using the PIPS-PoCC Integration

Dounia Khaldi, Corinne Ancourt, Francois Irigoin

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Tags: Benchmarking, Code generation, Computer science, CUDA, FPGA, Heterogeneous systems, MPI, nVidia, OpenMP, Optimization, Package

December 19, 2011 by hgpu

Leveraging Parallelism with CUDA and OpenCL

S. Park, D. Shires, J. Ross, D. Richie

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Tags: AMD FireStream 9250, ATI, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, OpenCL, Programming techniques, Tesla C1060

December 18, 2011 by hgpu

Quartile and Outlier Detection on Heterogeneous Clusters Using Distributed Radix Sort

Kyle L. Spafford, Jeremy S. Meredith, Jeffrey S. Vetter

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Source codes

Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Package, Sorting, Tesla M2070

December 17, 2011 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Mapping the SBR and TW-ILDCs to Heterogeneous CPU-GPU Architecture for Fast Computation of Electromagnetic Scattering

Scalable Fast Multipole Methods on Distributed Heterogeneous Architectures

Engineering Concurrent Software Guided by Statistical Performance Analysis

A Fast Algorithm for Constructing Inverted Files on Heterogeneous Platforms

Modeling Parallel Programs for Heterogeneous Computing

Scalable multi-GPU implementation of the MAGFLOW simulator

Numerical solution of PDEs with hybrid and heterogeneous computing models

Efficient shallow water simulations on GPUs: Implementation, visualization, verification, and validation

A simulation suite for lattice Boltzmann based real time CFD applications exploiting multi-level parallelism on modern multi-and many-core architectures

Towards Automatic C Programs Optimization and Parallelization using the PIPS-PoCC Integration

Leveraging Parallelism with CUDA and OpenCL

Quartile and Outlier Detection on Heterogeneous Clusters Using Distributed Radix Sort

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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