high performance computing on graphics processing units: hgpu.org

hgpu.org » nVidia GeForce GTX 295

Convolution of large 3D images on GPU and its decomposition

Pavel Karas, David Svoboda

View

Download (PDF)

Tags: Algorithms, CUDA, FFT, Image processing, nVidia, nVidia GeForce GTX 295

January 23, 2012 by hgpu

A Modular System Architecture for Online Parallel Vision Pipelines

Jeremie Papon, Alexey Abramov, Eren Aksoy, Florentin Worgotter

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 295, Optical flow, Package

January 16, 2012 by hgpu

Mesh deformations in X3D via CUDA with freeform deformation lattices

Yvonne Jung, Holger Graf, Johannes Behr, Arjan Kuijper

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Interactive application, nVidia, nVidia GeForce GTX 295

January 13, 2012 by hgpu

High Precision Integer Multiplication with a GPU Using Strassen’s Algorithm with Multiple FFT Sizes

Niall Emmart, Charles C. Weems

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Optimization

January 11, 2012 by hgpu

Multiphase Fluid Simulations on a Multiple GPGPU PC Using Unsplit Time Integration VSIAM3

Akio Ikebata, Yoshihiko Muraoka, Feng Xiao

View

Download (PDF)

Tags: Fluid dynamics, Fluid simulation, GPU cluster, nVidia, nVidia GeForce GTX 295, OpenCL

January 7, 2012 by hgpu

Selecting the Best Tridiagonal System Solver Projected on Multi-Core CPU and GPU Platforms

Pablo Quesada-Barriuso, Julian Lamas-Rodriguez, Dora B. Heras, Montserrat Boo, Francisco Arguello

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 295, OpenMP

January 5, 2012 by hgpu

Numerical solution of PDEs with hybrid and heterogeneous computing models

Markus Hegland

View

Download (PDF)

Tags: Algorithms, CUDA, Differential equations, Fluid dynamics, Heterogeneous systems, nVidia, nVidia GeForce GTX 295, Partial differential equations, PDEs, Physics, Plasma physics, Review

December 23, 2011 by hgpu

Computational Fluid Dynamics Simulations using Many Graphics Processors

Ali Khajeh-Saeed, J. Blair Perot

View

Download (PDF)

Tags: Algorithms, CUDA, Fluid dynamics, GPU cluster, Laplace and Poisson equation, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Poisson equation, Tesla C2070, Tesla S1070

December 21, 2011 by hgpu

Generating SU(Nc) pure gauge lattice QCD configurations on GPUs with CUDA and OpenMP

Nuno Cardoso, Pedro Bicudo

View

Download (PDF)

Source codes

Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Matrix multiplication, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 580, Package, Physics, QCD

December 21, 2011 by hgpu

Parallel mesh adaptation and graph analysis using graphics processing units

Timothy P. McGuiness

View

Download (PDF)

Tags: Algorithms, CUDA, FEM, Finite element method, Fluid dynamics, Graph theory, MPI, nVidia, nVidia GeForce GTX 295, Tesla S1070

December 17, 2011 by hgpu

Playdoh: A lightweight Python library for distributed computing and optimisation

Cyrille Rossant, Bertrand Fontaine, Dan F.M. Goodman

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Differential equations, Distributed computing, Monte Carlo simulation, nVidia, nVidia GeForce GTX 295, Package, Partial differential equations, PDEs, Python

December 10, 2011 by hgpu

GPU Implementation of the Keccak Hash Function Family

Pierre-Louis Cayrel, Gerhard Hoffmann, Michael Schneider

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 295, Package, Security, Tesla C2050

December 7, 2011 by hgpu

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

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Convolution of large 3D images on GPU and its decomposition

A Modular System Architecture for Online Parallel Vision Pipelines

Mesh deformations in X3D via CUDA with freeform deformation lattices

High Precision Integer Multiplication with a GPU Using Strassen’s Algorithm with Multiple FFT Sizes

Multiphase Fluid Simulations on a Multiple GPGPU PC Using Unsplit Time Integration VSIAM3

Selecting the Best Tridiagonal System Solver Projected on Multi-Core CPU and GPU Platforms

Numerical solution of PDEs with hybrid and heterogeneous computing models

Computational Fluid Dynamics Simulations using Many Graphics Processors

Generating SU(Nc) pure gauge lattice QCD configurations on GPUs with CUDA and OpenMP

Parallel mesh adaptation and graph analysis using graphics processing units

Playdoh: A lightweight Python library for distributed computing and optimisation

GPU Implementation of the Keccak Hash Function Family

Recent source codes

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

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

Most viewed papers (last 30 days)