high performance computing on graphics processing units: hgpu.org

hgpu.org » Linear Algebra

Optimizing Symmetric Dense Matrix-Vector Multiplication on GPUs

Rajib Nath, Stanimire Tomov, Tingxing "Tim" Dong, Jack Dongarra

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, Package, Performance, Tesla C2050

November 20, 2011 by hgpu

Auto-tunable GPU BLAS

Jarle Erdal Steinsland

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 5750, ATI Radeon HD 5870, BLAS, Computer science, Heterogeneous systems, Linear Algebra, Matrix multiplication, nVidia, OpenCL, Optimization, Tesla C2070, Thesis

November 18, 2011 by hgpu

GPU Acceleration of Matrix-based Methods in Computational Electromagnetics

Evan Lezar

View

Download (PDF)

Tags: CUDA, Electrodynamics, FEM, Finite element method, Linear Algebra, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 465, OpenCL, Tesla M1060, Thesis

November 10, 2011 by hgpu

Acceleration of Hessenberg Reduction for Nonsymmetric Eigenvalue Problems in a Hybrid CPU-GPU Computing Environment

Jun-ichi Muramatsu, Takeshi Fukaya, Shao-Liang Zhang, Kinji Kimura, Yusaku Yamamoto

View

Download (PDF)

Tags: Algorithms, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C1060

November 8, 2011 by hgpu

A Class of Hybrid LAPACK Algorithms for Multicore and GPU Architectures

Mitch Horton, Stanimire Tomov, Jack Dongarra

View

Download (PDF)

Tags: Algorithms, Computer science, Factorization, Linear Algebra, nVidia, nVidia GeForce GTX 480, Tesla M2070

November 8, 2011 by hgpu

The conjugate gradient solver accelerated by GPU for solving wave-propagation problems

Chao Chen

View

Download (PDF)

Tags: Algorithms, Computer science, Conjugate gradient solver, CUDA, Linear Algebra, Matrix multiplication, nVidia

November 6, 2011 by hgpu

Performance Portability of a GPU Enabled Factorization with the DAGuE Framework

George Bosilca, Aurelien Bouteiller, Thomas Herault, Pierre Lemarinier, Narapat Ohm Saengpatsa, Stanimire Tomov, Jack J. Dongarra

View

Download (PDF)

Tags: Computer science, Factorization, GPU cluster, Heterogeneous systems, Linear Algebra, nVidia, Performance, Tesla C1060, Tesla C2050, Tesla S1070

November 3, 2011 by hgpu

Parallel Smoothers for Matrix-based Multigrid Methods on Unstructured Meshes Using Multicore CPUs and GPUs

Vincent Heuveline, Dimitar Lukarski, Nico Trost, Jan-Philipp Weiss

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Differential equations, Linear Algebra, nVidia, Package, Partial differential equations, PDEs, Tesla S1070

October 31, 2011 by hgpu

CPU and GPU Co-processing for Sound

Aleksander Gjermundsen

View

Download (PDF)

Source codes

Tags: Algorithms, ATI, ATI Radeon HD 5870, Computer science, Filtering, Linear Algebra, nVidia, nVidia GeForce GTX 280, OpenCL, Package, Signal processing, Tesla C2050, Thesis

October 30, 2011 by hgpu

Solving Linear Recurrences on Hybrid GPU Accelerated Manycore Systems

Przemyslaw Stpiczynski

View

Download (PDF)

Tags: Algorithms, BLAS, Computer science, CUDA, Hybrid computing, Linear Algebra, nVidia, Tesla C2050

October 21, 2011 by hgpu

A High Performance Parallel Sparse Linear Equation Solver Using CUDA

Andrew J. Martin

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, nVidia GeForce GTX 570, Thesis

October 17, 2011 by hgpu

An Auto-tuned Method for Solving Large Tridiagonal Systems on the GPU

Andrew Davidson, Yao Zhang, John D. Owens

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, nVidia GeForce GTX 470

October 16, 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

Optimizing Symmetric Dense Matrix-Vector Multiplication on GPUs

Auto-tunable GPU BLAS

GPU Acceleration of Matrix-based Methods in Computational Electromagnetics

Acceleration of Hessenberg Reduction for Nonsymmetric Eigenvalue Problems in a Hybrid CPU-GPU Computing Environment

A Class of Hybrid LAPACK Algorithms for Multicore and GPU Architectures

The conjugate gradient solver accelerated by GPU for solving wave-propagation problems

Performance Portability of a GPU Enabled Factorization with the DAGuE Framework

Parallel Smoothers for Matrix-based Multigrid Methods on Unstructured Meshes Using Multicore CPUs and GPUs

CPU and GPU Co-processing for Sound

Solving Linear Recurrences on Hybrid GPU Accelerated Manycore Systems

A High Performance Parallel Sparse Linear Equation Solver Using CUDA

An Auto-tuned Method for Solving Large Tridiagonal Systems on the GPU

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

Most viewed papers (last 30 days)