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Parallel Asynchronous Modelization and Execution of Cholesky Algorithm using Petri Nets

Gustavo Wolfmann, Armando De Giusti

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, nVidia GeForce GTX 470, Task scheduling

June 19, 2013 by hgpu

Real-time Stochastic Optimization of Complex Energy Systems on High Performance Computers

Cosmin G. Petra, Olaf Schenk, Mihai Anitescu

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, Optimization, Tesla K20

May 4, 2013 by hgpu

Exploration of Multifrontal Method with GPU in Power Flow Computation

Xue Li, Fangxing Li, Joshua M. Clark

Tags: Computer science, CUDA, Factorization, Linear Algebra, nVidia, Sparse matrix, Tesla M2070

May 4, 2013 by hgpu

LU Factorization with Partial Pivoting for a Multi-CPU, Multi-GPU Shared Memory System

Jakub Kurzak, P. Luszczek, Mathieu Faverge, Jack J. Dongarra

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Tags: Computer science, CUDA, Factorization, nVidia, Task scheduling, Tesla S2050

April 17, 2013 by hgpu

A Parallel Active-Set Method for Solving Frictional Contact Problems

Joshua Alexander Litven

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, nVidia GeForce GTX 580, Physics, Thesis

February 22, 2013 by hgpu

Scheduling a Parallel Sparse Direct Solver to Multiple GPUs

Kyungjoo Kim

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Tags: Computer science, CUDA, Factorization, FEM, Finite element method, Heterogeneous systems, nVidia, Package, Sparse direct solvers, Task scheduling, Tesla M2070

February 21, 2013 by hgpu

XKaapi: A Runtime System for Data-Flow Task Programming on Heterogeneous Architectures

Thierry Gautier, Joao V. F. Lima, Nicolas Maillard, Bruno Raffin

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Tags: Computer science, CUDA, Factorization, Heterogeneous systems, Linear Algebra, nVidia, Package, Tesla C2050

February 2, 2013 by hgpu

Locality-Aware Work Stealing on Multi-CPU and Multi-GPU Architectures

Thierry Gautier, Joao V. F. Lima, Nicolas Maillard, Bruno Raffin

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Tags: Computer science, CUDA, Factorization, Heterogeneous systems, Linear Algebra, nVidia, Package, Tesla C2050

January 25, 2013 by hgpu

Implementing QR Factorization Updating Algorithms on GPUs

Robert Andrew, Nicholas Dingle

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Factorization, Linear Algebra, Numerical Analysis, nVidia, Tesla M2050

December 10, 2012 by hgpu

Improving the Performance of the Linear Systems Solvers Using CUDA

Bogdan Oancea, Tudorel Andrei, Raluca Mariana Dragoescu

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Tags: Computer science, CUDA, Factorization, Linear Algebra, nVidia, nVidia GeForce GTX 280

November 24, 2012 by hgpu

High-Performance General Solver for Extremely Large-Scale Semidefinite Programming Problems

Katsuki Fujisawa, Hitoshi Sato, Satoshi Matsuoka, Toshio Endo, Makoto Yamashita, Maho Nakata

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, Optimization, Tesla M2050

November 21, 2012 by hgpu

Exploiting Concurrent GPU Operations for Efficient Work Stealing on Multi-GPUs

Joao V. F. Lima, Thierry Gautier, Nicolas Maillard, Vincent Danjean

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla C2050

September 28, 2012 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 Asynchronous Modelization and Execution of Cholesky Algorithm using Petri Nets

Real-time Stochastic Optimization of Complex Energy Systems on High Performance Computers

Exploration of Multifrontal Method with GPU in Power Flow Computation

LU Factorization with Partial Pivoting for a Multi-CPU, Multi-GPU Shared Memory System

A Parallel Active-Set Method for Solving Frictional Contact Problems

Scheduling a Parallel Sparse Direct Solver to Multiple GPUs

XKaapi: A Runtime System for Data-Flow Task Programming on Heterogeneous Architectures

Locality-Aware Work Stealing on Multi-CPU and Multi-GPU Architectures

Implementing QR Factorization Updating Algorithms on GPUs

Improving the Performance of the Linear Systems Solvers Using CUDA

High-Performance General Solver for Extremely Large-Scale Semidefinite Programming Problems

Exploiting Concurrent GPU Operations for Efficient Work Stealing on Multi-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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