high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

Bacon: A GPU Programming System With Just in Time Specialization

Nat Tuck

View

Download (PDF)

Source codes

Tags: ATI, ATI Radeon HD 5830, Benchmarking, Computer science, Matrix multiplication, OpenCL

June 23, 2012 by hgpu

Parallel Neural Network Training with OpenCL

Nenad Krpan, Domagoj Jakobovic

View

Download (PDF)

Tags: Algorithms, Computer science, Heterogeneous systems, Neural networks, nVidia, nVidia GeForce GTS 250, OpenCL, Optimization

June 23, 2012 by hgpu

High performance implementation of hydrodynamic interactions and applications with the sub-cellular element method

Andrei Frunza

View

Download (PDF)

Tags: Computer science, CUDA, Diffusion tensor, nVidia, nVidia GeForce GTX 580, Physics, Thesis

June 21, 2012 by hgpu

Evaluating the impact of reordering unstructured meshes on the performance of finite volume GPU solvers

Marc de la Asuncion, Jose M. Mantas, Manuel J. Castro

View

Download (PDF)

Tags: Computer science, CUDA, Finite volume method, nVidia, nVidia GeForce GTX 580, Performance

June 21, 2012 by hgpu

FMM-based vortex method for simulation of isotropic turbulence on GPUs, compared with a spectral method

Rio Yokota, L. A. Barba

View

Download (PDF)

Source codes

Tags: Computational Physics, Computer science, CUDA, Fast multipole method, FFT, Fluid dynamics, N-body simulation, Numerical Analysis, Numerical simulation, nVidia, Package, Spectral methods, Tesla C2070, Tesla M2050

June 21, 2012 by hgpu

GPU Accelerated Greedy Algorithms for Compressed Sensing

Jeffrey D. Blanchard, Jared Tanner

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Sensing, Tesla C2050

June 20, 2012 by hgpu

Towards a GPU-based Implementation of Interaction Nets

Eugen Jiresch

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 460, Package

June 20, 2012 by hgpu

An Investigation into Concurrent Expectation Propagation

David Hall, Alex Kantchelian

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 6490 M, Computer science, Machine learning, OpenCL, Physics

June 20, 2012 by hgpu

Two Algorithms for Sorting On Heterogeneous Clusters

Kyle Spafford, Jeremy Meredith, Jeffrey Vetter, Aparna Chandramowlishwaran, David Noble, Richard Vuduc

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, OpenMP, Sorting, Tesla M2070

June 19, 2012 by hgpu

Parallel Rendering on Hybrid Multi-GPU Clusters

S. Eilemann, A. Bilgili, M. Abdellah, J. Hernando, M. Makhinya, R. Pajarola, F. Schurmann

View

Download (PDF)

Tags: 3D Graphics and Realism, Computer science, GPU cluster, nVidia, nVidia GeForce GTX 580, OpenGL, Optimization, Rendering, Visualization

June 19, 2012 by hgpu

Optimizing dataflow applications on heterogeneous environments

George Teodoro, Timothy D. R. Hartley, Umit V. Catalyurek, Renato Ferreira

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 260, Tesla C2050

June 19, 2012 by hgpu

Gdev: First-Class GPU Resource Management in the Operating System

Shinpei Kato, Michael McThrow, Carlos Maltzahn, Scott Brandt

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Operating systems, Package

June 18, 2012 by hgpu

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

LLOR: Automatic Repair of OpenMP Programs

LLOR: Automated Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

Unified schemes for directive-based GPU offloading

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Bacon: A GPU Programming System With Just in Time Specialization

Parallel Neural Network Training with OpenCL

High performance implementation of hydrodynamic interactions and applications with the sub-cellular element method

Evaluating the impact of reordering unstructured meshes on the performance of finite volume GPU solvers

FMM-based vortex method for simulation of isotropic turbulence on GPUs, compared with a spectral method

GPU Accelerated Greedy Algorithms for Compressed Sensing

Towards a GPU-based Implementation of Interaction Nets

An Investigation into Concurrent Expectation Propagation

Two Algorithms for Sorting On Heterogeneous Clusters

Parallel Rendering on Hybrid Multi-GPU Clusters

Optimizing dataflow applications on heterogeneous environments

Gdev: First-Class GPU Resource Management in the Operating System

Recent source codes

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

LLOR: Automatic Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

Most viewed papers (last 30 days)