high performance computing on graphics processing units: hgpu.org

hgpu.org » Linear Algebra

KBLAS: An Optimized Library for Dense Matrix-Vector Multiplication on GPU Accelerators

Ahmad Abdelfattah, David Keyes, Hatem Ltaief

View

Download (PDF)

Source codes

Tags: Computer science, CUBLAS, CUDA, Linear Algebra, Mathematical Software, nVidia, Package, Tesla K20

October 8, 2014 by hgpu

Scalable Parallel Tridiagonal Algorithms with Diagonal Pivoting and Their Optimization for Many-Core Architectures

Li-Wen Chang

View

Download (PDF)

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

September 15, 2014 by hgpu

Performance Portability Study of Linear Algebra Kernels in OpenCL

Karl Rupp, Philippe Tillet, Florian Rudolf, Josef Weinbub, Tibor Grasser, Ansgar Jungel

View

Download (PDF)

Tags: AMD FirePro W9000, ATI, ATI Radeon HD 5850, Computer science, Intel Xeon Phi, Linear Algebra, nVidia, nVidia GeForce GTX 285, OpenCL, Performance, Portability, Tesla K20

September 3, 2014 by hgpu

Numerical Computations with GPUs

Volodymyr Kindratenko

View

Download (PDF)

Tags: Algorithms, ATI, Book, Computer science, CUDA, Differential equations, FFT, Linear Algebra, Mathematics, Numerical simulation, nVidia, OpenCL, Pseudo-random number generators, Software Engineering

August 13, 2014 by hgpu

A Memory-Efficient Algorithm for Large-Scale Symmetric Tridiagonal Eigenvalue Problem on Multi-GPU Systems

Hyunsu Cho, Peter A. Yoon

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Package, Tesla K20

August 11, 2014 by hgpu

Dense Arithmetic over Finite Fields with the CUMODP Library

Sardar Anisul Haquen, Xin Li, Farnam Mansouri, Marc Moreno Maza, Wei Pan, Ning Xie

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, FFT, Linear Algebra, Mathematics, nVidia, Package, Tesla C2050

August 7, 2014 by hgpu

Accelerating Krylov Subspace Solvers on Graphics Processing Units

Hartwig Anzt, Stanimire Tomov, Piotr Luszczek, Ichitaro Yamazaki, Jack Dongarra, William Sawyer

View

Download (PDF)

Tags: Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, Sparse matrix, Tesla K20

August 3, 2014 by hgpu

Extending Lyapack for the Solution of Band Lyapunov Equations on Hybrid CPU-GPU Platforms

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

View

Download (PDF)

Tags: CUDA, Linear Algebra, Mathematics, nVidia, Tesla K20, Tesla S2070

August 3, 2014 by hgpu

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

Fengguang Song, Jack Dongarra

View

Download (PDF)

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

August 1, 2014 by hgpu

Abstraction and Implementation of Unstructured Grid Algorithms on Massively Parallel Heterogeneous Architectures

Istvan Zoltan Reguly

View

Download (PDF)

Tags: Algorithms, Code generation, Computer science, CUDA, Differential equations, FEM, Finite element method, Finite volume method, Fluid dynamics, Heterogeneous systems, Linear Algebra, nVidia, Partial differential equations, PDEs, Programming techniques, Tesla C2070, Tesla K20, Tesla K40, Thesis

July 24, 2014 by hgpu

A Study on GPU Computing and Accelerating Simulation of Sedimentary Rock Structure

Koushik Mandal

View

Download (PDF)

Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, Tesla C2075, Thesis

July 23, 2014 by hgpu

Development of a Restricted Additive Schwarz Preconditioner for Sparse Linear Systems on NVIDIA GPU

Hui Liu, Zhangxin Chen, Song Yu, Ben Hsieh, Lei Shao

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Sparse linear iterative solvers, Sparse matrix, Tesla C2050, Tesla C2070

July 11, 2014 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

KBLAS: An Optimized Library for Dense Matrix-Vector Multiplication on GPU Accelerators

Scalable Parallel Tridiagonal Algorithms with Diagonal Pivoting and Their Optimization for Many-Core Architectures

Performance Portability Study of Linear Algebra Kernels in OpenCL

Numerical Computations with GPUs

A Memory-Efficient Algorithm for Large-Scale Symmetric Tridiagonal Eigenvalue Problem on Multi-GPU Systems

Dense Arithmetic over Finite Fields with the CUMODP Library

Accelerating Krylov Subspace Solvers on Graphics Processing Units

Extending Lyapack for the Solution of Band Lyapunov Equations on Hybrid CPU-GPU Platforms

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

Abstraction and Implementation of Unstructured Grid Algorithms on Massively Parallel Heterogeneous Architectures

A Study on GPU Computing and Accelerating Simulation of Sedimentary Rock Structure

Development of a Restricted Additive Schwarz Preconditioner for Sparse Linear Systems on NVIDIA GPU

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

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

Most viewed papers (last 30 days)