high performance computing on graphics processing units: hgpu.org

hgpu.org » Linear Algebra

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

View

Download (PDF)

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

June 23, 2014 by hgpu

An Out-of-core GPU Approach for Accelerating Geostatistical Interpolation

Victor Allombert, David Michea, Fabrice Dupros, Christian Bellier, Bernard Bourgine, Hideo Aochi, Sylvain Jubertie

View

Download (PDF)

Tags: Algorithms, CUDA, Earth and Space Sciences, Geoscience, Linear Algebra, nVidia, nVidia Quadro K4000

June 18, 2014 by hgpu

Unified Development for Mixed Multi-GPU and Multi-Coprocessor Environments using a Lightweight Runtime Environment

Azzam Haidar, Chongxiao Cao, Asim YarKhan, Piotr Luszczek, Stanimire Tomov, Khairul Kabir, Jack Dongarra

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Intel Xeon Phi, Linear Algebra, nVidia, Tesla K20, Tesla M2090

June 14, 2014 by hgpu

A Fast Batched Cholesky Factorization on a GPU

Tingxing Dong, Azzam Haidar, Stanimire Tomov, Jack Dongarra

View

Download (PDF)

Source codes

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

June 12, 2014 by hgpu

An implementation of a reordering approach for increasing the product of diagonal entries in a sparse matrix

Ang Li, Radu Serban, Dan Negrut

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Package, Sparse matrix

June 1, 2014 by hgpu

Heterogeneous Computing for Solving System of the Linear Equations by the Conjugate Gradient Method

Eduard Bondarenko

View

Download (PDF)

Tags: Computer science, Conjugate gradient solver, CUBLAS, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 650 Ti, OpenACC

May 29, 2014 by hgpu

A Parallel Jacobi-Type Lattice Basis Reduction Algorithm

Filip Jeremic, Sanzheng Qiao

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 660

May 26, 2014 by hgpu

A Step towards Energy Efficient Computing: Redesigning A Hydrodynamic Application on CPU-GPU

Tingxing Dong, Veselin Dobrev, Tzanio Kolev, Robert Rieben, Stanimire Tomov, Jack Dongarra

View

Download (PDF)

Tags: Computer science, CUDA, FEM, Finite element method, Linear Algebra, nVidia, Tesla K20

May 20, 2014 by hgpu

Preliminary results of autotuning GEMM kernels for the NVIDIA Kepler architecture-GeForce GTX 680

Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Jack Dongarra

View

Download (PDF)

Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 680

May 14, 2014 by hgpu

Analysis of SuperLU Solvers on Intel MIC Architecture

Ahmet Duran, M. Serdar Celebi, Bora Akaydin, Mehmet Tuncel, Figen Oztoprak

View

Download (PDF)

Tags: Computer science, Intel Xeon Phi, Linear Algebra, Sparse matrix

May 2, 2014 by hgpu

Self-Adaptive Multiprecision Preconditioners on Multicore and Manycore Architectures

Hartwig Anzt, Dimitar Lukarski, Stanimire Tomov, Jack Dongarra

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7970, Computer science, CUDA, Intel Xeon Phi, Linear Algebra, nVidia, OpenCL, Tesla K40

April 27, 2014 by hgpu

Integrating multi-threading and accelerators into DUNE-ISTL

Steffen Muthing, Dirk Ribbrock, Dominik Goddeke

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, Linear Algebra, MPI, nVidia, Partial differential equations, PDEs, Tesla C2070

April 25, 2014 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

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

An Out-of-core GPU Approach for Accelerating Geostatistical Interpolation

Unified Development for Mixed Multi-GPU and Multi-Coprocessor Environments using a Lightweight Runtime Environment

A Fast Batched Cholesky Factorization on a GPU

An implementation of a reordering approach for increasing the product of diagonal entries in a sparse matrix

Heterogeneous Computing for Solving System of the Linear Equations by the Conjugate Gradient Method

A Parallel Jacobi-Type Lattice Basis Reduction Algorithm

A Step towards Energy Efficient Computing: Redesigning A Hydrodynamic Application on CPU-GPU

Preliminary results of autotuning GEMM kernels for the NVIDIA Kepler architecture-GeForce GTX 680

Analysis of SuperLU Solvers on Intel MIC Architecture

Self-Adaptive Multiprecision Preconditioners on Multicore and Manycore Architectures

Integrating multi-threading and accelerators into DUNE-ISTL

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Most viewed papers (last 30 days)