high performance computing on graphics processing units: hgpu.org

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Structured Orthogonal Inversion of Block p-Cyclic Matrices on Multicore with GPU Accelerators

Sergiy Gogolenko, Zhaojun Bai, Richard Scalettar

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Tags: Algorithms, Computer science, CUDA, Factorization, Mathematics, nVidia, nVidia GeForce GTX 480, Package, Tesla C1060

August 23, 2014 by hgpu

A Scalable Approach to Solving Dense Linear Algebra Problems on Hybrid CPU-GPU Systems

Fengguang Song, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, Heterogeneous systems, Linear Algebra, nVidia, Tesla K20

August 1, 2014 by hgpu

Optimizing Lempel-Ziv Factorization for the GPU Architecture

Bryan Ching

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Tags: Algorithms, Compression, Computer science, CUDA, Factorization, nVidia, nVidia GeForce GTX Titan, Tesla K40, Thesis

July 29, 2014 by hgpu

Parallelization of the Symmetric Indefinite Factorization

Anastasia Kruchinina

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Tags: Algorithms, Computer science, CUDA, Factorization, Mathematics, Nonlinear optimization, nVidia, Tesla S2050, Thesis

July 7, 2014 by hgpu

Accelerating Band Linear Algebra Operations on GPUs with Application in Model Reduction

Peter Benner, Ernesto Dufrechou, Pablo Ezzatti, Pablo Igounet, Enrique S. Quintana-Orti, Alfredo Remon

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Tags: Computer science, CUDA, Factorization, Linear Algebra, nVidia, Sparse matrix, Tesla S2070

June 23, 2014 by hgpu

A Fast Batched Cholesky Factorization on a GPU

Tingxing Dong, Azzam Haidar, Stanimire Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Package, Tesla K40

June 12, 2014 by hgpu

Cofactorization on Graphics Processing Units

Andrea Miele, Joppe W. Bos, Thorsten Kleinjung, Arjen K. Lenstra

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Tags: Computer science, CUDA, Factorization, nVidia, nVidia GeForce GTX 580, PTX, Security

June 3, 2014 by hgpu

Fine-Grained Parallel Incomplete LU Factorization

Edmond Chow, Aftab Patel

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Tags: Algorithms, Computer science, Factorization, Intel Xeon Phi

May 17, 2014 by hgpu

H-LU Factorization on Many-Core Systems

Ronald Kriemann

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Tags: Algorithms, Computer science, Factorization, Intel Xeon Phi

March 14, 2014 by hgpu

Locality optimization on a NUMA architecture for hybrid LU factorization

Adrien Remy, Marc Baboulin, Masha Sosonkina, Brigitte Rozoy

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla S2050

March 12, 2014 by hgpu

Efficient Preconditioned Conjugate Gradient Parallelization on GPU

A. F. P. Camargos, V. C. Silva

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Tags: Conjugate gradient solver, CUDA, Electrodynamics, Factorization, FEM, Finite element method, nVidia, nVidia GeForce GT 240

March 12, 2014 by hgpu

Heterogenous Acceleration for Linear Algebra in Multi-Coprocessor Environments

Azzam Haidar, Piotr Luszczek, Stanimire Tomov, Jack Dongarra

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Tags: Computer science, Factorization, Heterogeneous systems, Intel Xeon Phi, Linear Algebra

February 28, 2014 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

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high performance computing on graphics processing units: hgpu.org

Structured Orthogonal Inversion of Block p-Cyclic Matrices on Multicore with GPU Accelerators

A Scalable Approach to Solving Dense Linear Algebra Problems on Hybrid CPU-GPU Systems

Optimizing Lempel-Ziv Factorization for the GPU Architecture

Parallelization of the Symmetric Indefinite Factorization

Accelerating Band Linear Algebra Operations on GPUs with Application in Model Reduction

A Fast Batched Cholesky Factorization on a GPU

Cofactorization on Graphics Processing Units

Fine-Grained Parallel Incomplete LU Factorization

H-LU Factorization on Many-Core Systems

Locality optimization on a NUMA architecture for hybrid LU factorization

Efficient Preconditioned Conjugate Gradient Parallelization on GPU

Heterogenous Acceleration for Linear Algebra in Multi-Coprocessor Environments

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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