high performance computing on graphics processing units: hgpu.org

hgpu.org » Factorization

A GPU-Accelerated Parallel Preconditioner for the Solution of the Boltzmann Transport Equation for Semiconductors

Karl Rupp, Ansgar Jungel, Tibor Grasser

View

Tags: Boltzmann equation, Computer science, Differential equations, Factorization, nVidia, nVidia GeForce GTX 580, OpenCL, Partial differential equations, PDEs

October 10, 2011 by hgpu

Multifrontal computations on GPUs and their multi-core hosts

Robert F. Lucas, Gene Wagenbreth, Dan M. Davis, Roger Grimes

View

Download (PDF)

Tags: Computer science, CUDA, Factorization, nVidia, Performance, Sparse matrix, Tesla C1060

October 7, 2011 by hgpu

Investigation on the Use of GPGPU for Fast Sparse Matrix Factorization

Ye Tian, Bin Zhou, Yutong Zhang, Ka Wing Chan

Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, Sparse matrix

October 7, 2011 by hgpu

Using Graphics Processors to Accelerate the Solution of Out-of-Core Linear Systems

Mercedes Marques, Gregorio Quintana-Orti, Enrique S. Quintana-Orti, Robert van de Geijn

View

Download (PDF)

Tags: Computer science, CUBLAS, CUDA, Factorization, Linear Algebra, nVidia, nVidia GeForce 9800 GX2

August 4, 2011 by hgpu

QR Factorization on a Multicore Node Enhanced with Multiple GPU Accelerators

Emmanuel Agullo, Cedric Augonnet, Jack Dongarra, Mathieu Faverge, Hatem Ltaief, Samuel Thibault, Stanimire Tomov

View

Download (PDF)

Tags: Computer science, CUDA, Factorization, GPU cluster, Linear Algebra, nVidia, nVidia Quadro FX 5800, Tesla S1070

June 5, 2011 by hgpu

A Scalable High Performant Cholesky Factorization for Multicore with GPU Accelerators

Hatem Ltaief, Stanimire Tomov, Rajib Nath, Peng Du and Jack Dongarra

View

Download (PDF)

Tags: Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla S1070

June 4, 2011 by hgpu

Design Space Exploration for GPU-Based Architecture

Zhenyu Ye

View

Download (PDF)

Tags: Computer science, CUDA, Factorization, Hardware Architecture, Memory model, nVidia, nVidia GeForce 8800 GTX, Review, Thesis

February 20, 2011 by hgpu

Takagi Factorization on GPU using CUDA

Gagandeep S. Sachdev, Vishay Vanjani and Mary W. Hall

View

Download (PDF)

Tags: Computer science, CUDA, Factorization, Matrix decomposition, nVidia, nVidia GeForce GTX 260

February 17, 2011 by hgpu

Scaling LAPACK panel operations using parallel cache assignment

Anthony M. Castaldo, R. Clint Whaley

View

Download (PDF)

Tags: Algorithms, Computer science, Factorization, Linear Algebra, Mathematical Software, Performance

February 10, 2011 by hgpu

ECM on Graphics Cards

Daniel Bernstein, Tien-Ren Chen, Chen-Mou Cheng, Tanja Lange, Bo-Yin Yang

View

Download (PDF)

Tags: Computer science, CUDA, Edwards curves, Elliptic curves, Elliptic-curve method of factorization, Factorization, Modular arithmetic, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 260, nVidia GeForce GTX 280, nVidia GeForce GTX 295, Security

November 5, 2010 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

A GPU-Accelerated Parallel Preconditioner for the Solution of the Boltzmann Transport Equation for Semiconductors

Multifrontal computations on GPUs and their multi-core hosts

Investigation on the Use of GPGPU for Fast Sparse Matrix Factorization

Using Graphics Processors to Accelerate the Solution of Out-of-Core Linear Systems

QR Factorization on a Multicore Node Enhanced with Multiple GPU Accelerators

A Scalable High Performant Cholesky Factorization for Multicore with GPU Accelerators

Design Space Exploration for GPU-Based Architecture

Takagi Factorization on GPU using CUDA

Scaling LAPACK panel operations using parallel cache assignment

ECM on Graphics Cards

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)