high performance computing on graphics processing units: hgpu.org

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Parallel heterogeneous Branch and Bound algorithms for multi-core and multi-GPU environments

Imen Chakroun

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Tags: Algorithms, Computer science, CUDA, Distributed computing, Heterogeneous systems, nVidia, Tesla C2050, Thesis

July 17, 2013 by hgpu

Data Structures and Algorithms for Counting Problems on Graphs using GPU

Amlan Chatterjee, Sridhar Radhakrishnan, John K. Antonio

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, Tesla C1060, Tesla C2050, Tesla C2070

July 16, 2013 by hgpu

Parallel Graph Processing on Graphics Processors Made Easy

Jianlong Zhong, Bingsheng He

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Package, Tesla C2050

July 12, 2013 by hgpu

Modelling sea water intrusion in coastal aquifers using heterogeneous computing

Benjamin Donald Cumming

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Tags: CUDA, Earth and Space Sciences, Finite volume method, Heterogeneous systems, nVidia, Tesla C2050, Thesis

July 10, 2013 by hgpu

Parallelization Strategies for Local Search Algorithms on Graphics Processing Units

Audrey Delevacq, Pierre Delisle, Michael Krajecki

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Tags: Algorithms, Computer science, CUDA, Metaheuristics, nVidia, Tesla C2050

July 9, 2013 by hgpu

Physical modeling and high-performance GPU computing for characterization, interception, and disruption of hazardous near-Earth objects

Brian Douglas Kaplinger

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Tags: CUDA, Earth and Space Sciences, nVidia, Tesla C2050, Thesis

July 3, 2013 by hgpu

Generating Efficient Data Movement Code for Heterogeneous Architectures with Distributed-Memory

Roshan Dathathri, Chandan Reddy, Thejas Ramashekar, Uday Bondhugula

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Tags: ATI, ATI FirePro V4800, ATI Radeon HD 6550, Code generation, Computer science, Heterogeneous systems, nVidia, Tesla C2050

July 1, 2013 by hgpu

Exploiting multi-level parallelism in streaming applications for heterogeneous platforms with GPUs

Ana Balevic

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Tags: Code generation, Compilers, Computer science, CUDA, Data parallelism, Heterogeneous systems, nVidia, Tesla C2050, Thesis

July 1, 2013 by hgpu

Auto-Tunning of Data Communication on Heterogeneous Systems

Marc Jorda, Ivan Tanasic, Javier Cabezas, Lluis Vilanova, Isaac Gelado, Nacho Navarro

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Performance, Tesla C2050, Tesla C2070, Tesla M2090

June 17, 2013 by hgpu

A GPU-based Method for Computing Eigenvector Centrality of Gene-expression Networks

Ahmed Shamsul Arefin, Regina Berretta, Pablo Moscato

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Tags: Computer science, CUDA, Neural networks, nVidia, Tesla C2050

June 16, 2013 by hgpu

Use of CUDA Parallel Computing Technology in Modeling of Solid Mineral Deposits

D.I.Eryemin, Yu.A.Ponyatov, N.I.Yagfarova

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla C2050

June 13, 2013 by hgpu

FastSpMM: An Efficient Library for Sparse Matrix Matrix Product on GPUs

Gloria Ortega, Francisco Vazquez, Inmaculada Garcia, Ester M. Garzon

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Tags: Computer science, Matrix multiplication, nVidia, nVidia GeForce GTX 480, Package, Sparse matrix, Tesla C2050

June 12, 2013 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

Parallel heterogeneous Branch and Bound algorithms for multi-core and multi-GPU environments

Data Structures and Algorithms for Counting Problems on Graphs using GPU

Parallel Graph Processing on Graphics Processors Made Easy

Modelling sea water intrusion in coastal aquifers using heterogeneous computing

Parallelization Strategies for Local Search Algorithms on Graphics Processing Units

Physical modeling and high-performance GPU computing for characterization, interception, and disruption of hazardous near-Earth objects

Generating Efficient Data Movement Code for Heterogeneous Architectures with Distributed-Memory

Exploiting multi-level parallelism in streaming applications for heterogeneous platforms with GPUs

Auto-Tunning of Data Communication on Heterogeneous Systems

A GPU-based Method for Computing Eigenvector Centrality of Gene-expression Networks

Use of CUDA Parallel Computing Technology in Modeling of Solid Mineral Deposits

FastSpMM: An Efficient Library for Sparse Matrix Matrix Product on GPUs

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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