high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

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

Multi-Threaded Automatic Integration Using OpenMP and CUDA

Rida Assaf

View

Download (PDF)

Tags: Computational finance, Computer science, CUDA, Finance, Monte Carlo integration, nVidia, OpenMP, Physics, Tesla K20, Thesis

August 3, 2014 by hgpu

Design of an FPGA-Based FDTD Accelerator Using OpenCL

Yasuhiro Takei, Hasitha Muthumala Waidyasooriya, Masanori Hariyama, Michitaka Kameyama

View

Download (PDF)

Tags: Electrodynamics, Electromagnetics simulation, FDTD, Finite-difference time-domain, FPGA, nVidia, nVidia GeForce GTX 580, OpenCL

August 2, 2014 by hgpu

An Analysis of OpenACC Programming Model: Image Processing Algorithms as a Case Study

M. J. Misic, D. D. Dasic, M. V. Tomasevic

View

Download (PDF)

Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GT 335 M, OpenACC

August 2, 2014 by hgpu

Extracting Maximal Exact Matches on GPU

Anas Abu-Doleh, Kamer Kaya, Mohamed Abouelhoda, Umit V. Catalyurek

View

Download (PDF)

Tags: Algorithms, Bioinformatics, Computer science, CUDA, Indexing, nVidia, Suffix trees, Tesla K20

August 2, 2014 by hgpu

Integrated Arrival and Departure Schedule Optimization Under Uncertainty

Min Xue, Shannon Zelinski

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, Monte Carlo simulation, nVidia, nVidia GeForce GTX 690, Optimization

August 2, 2014 by hgpu

Accelerated Matrix Element Method with Parallel Computing

Doug Schouten, Adam DeAbreu, Bernd Stelzer

View

Download (PDF)

Tags: AMD Radeon R9 290, ATI, Computational Complexity, Computational Physics, Monte Carlo integration, Neural networks, OpenCL, Physics, Probability

August 2, 2014 by hgpu

CUDA Accelerated Entropy Constrained Vector Quantization and Multiple K-Means

John Ashley, Amy J. Braverman

View

Download (PDF)

Tags: Compression, Computer science, CUDA, nVidia, Tesla K40, Vector quantization, Visualization

August 1, 2014 by hgpu

Scalable and High Performance Betweenness Centrality on the GPU

Adam McLaughlin, David A. Bader

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Graph theory, Numerical simulation, nVidia, nVidia GeForce GTX Titan, Package, Tesla M2090

August 1, 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

Optimizing performance per watt on GPUs in High Performance Computing: temperature, frequency and voltage effects

D. C. Price, M. A. Clark, B. R. Barsdell, R. Babich, L. J. Greenhill

View

Download (PDF)

Source codes

Tags: Astrophysics, CUDA, Energy-efficient computing, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 780, Package, Performance, Signal processing, Tesla K20

August 1, 2014 by hgpu

Discriminative Convolutional Sum-Product Networks on GPU

Tobias Hartmann

View

Download (PDF)

Tags: Algorithms, Benchmarking, Computer science, Computer vision, CUDA, Neural networks, nVidia, Tesla K20, Thesis

August 1, 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

Programming

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

Multi-Threaded Automatic Integration Using OpenMP and CUDA

Design of an FPGA-Based FDTD Accelerator Using OpenCL

An Analysis of OpenACC Programming Model: Image Processing Algorithms as a Case Study

Extracting Maximal Exact Matches on GPU

Integrated Arrival and Departure Schedule Optimization Under Uncertainty

Accelerated Matrix Element Method with Parallel Computing

CUDA Accelerated Entropy Constrained Vector Quantization and Multiple K-Means

Scalable and High Performance Betweenness Centrality on the GPU

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

Optimizing performance per watt on GPUs in High Performance Computing: temperature, frequency and voltage effects

Discriminative Convolutional Sum-Product Networks on GPU

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)