high performance computing on graphics processing units: hgpu.org

hgpu.org » nVidia GeForce GTX 480

High-performance 3D Compressive Sensing MRI reconstruction

Daehyun Kim, J.D. Trzasko, M. Smelyanskiy, C.R. Haider, A. Manduca, P. Dubey

Tags: CUDA, Image processing, Image reconstruction, MRI, nVidia, nVidia GeForce GTX 480

June 28, 2011 by hgpu

LOD Terrain Rendering by Local Parallel Processing on GPU

Alexandre Valdetaro, Gustavo Nunes, Alberto Raposo, Bruno Feijo, Rodrigo de Toledo

View

Download (PDF)

Tags: 3D Graphics and Realism, Computer science, DirectX, nVidia, nVidia GeForce GTX 480, Rendering, Visualization

June 23, 2011 by hgpu

Protein alignment algorithms with an efficient backtracking routine on multiple GPUs

Jacek Blazewicz, Wojciech Frohmberg, Michal Kierzynka, Erwin Pesch, Pawel Wojciechowski

View

Download (PDF)

Source codes

Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Package, Sequence alignment, Tesla S1070

June 21, 2011 by hgpu

Loose capacity-constrained representatives for the qualitative visual analysis in molecular dynamics

Steffen Frey, Thomas Schlomer, Sebastian Grottel, Carsten Dachsbacher, Oliver Deussen, Thomas Ertl

View

Download (PDF)

Tags: Computer science, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Visualization, Voronoi diagram

June 15, 2011 by hgpu

A sparse octree gravitational N-body code that runs entirely on the GPU processor

Jeroen Bedorf, Evghenii Gaburov, Simon Portegies Zwart

View

Download (PDF)

Source codes

Tags: Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package, Tesla C1060, Tesla C2050

June 14, 2011 by hgpu

Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs

Dan C. Ciresan, Ueli Meier, Luca M. Gambardella, Jurgen Schmidhuber

View

Download (PDF)

Tags: Artificial intelligence, Computer vision, Image processing, Image recognition, Neural networks, nVidia, nVidia GeForce GTX 480

June 10, 2011 by hgpu

GPS forward model computing study on CPU/GPU co-processing parallel system using CUDA

Fukang Yin, Fengshun Lu, Xiaoqun Cao, Junqiang Song

Tags: Computational modelling, Computer science, CUDA, Earth and Space Sciences, GPU cluster, nVidia, nVidia GeForce GTX 480, Weather prediction

June 1, 2011 by hgpu

Connected component identification and cluster update on GPU

Martin Weigel

View

Download (PDF)

Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Physics, Statistical Mechanics, Tesla M2070

May 31, 2011 by hgpu

Raytracing Dynamic Scenes on the GPU using Grids

Sashidhar Guntury, P. J. Narayanan

Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 480, Raytracing

May 27, 2011 by hgpu

Parallel compact roadmap construction of 3D virtual environments on the GPU

Avi Bleiweiss

View

Download (PDF)

Tags: Computer science, CUDA, Hardware Architecture, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Presentation

May 17, 2011 by hgpu

Accelerating QDP++ using GPUs

Frank Winter

View

Download (PDF)

Tags: Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 480, Physics, Programming Languages, QCD

May 12, 2011 by hgpu

Where is the data? Why you cannot debate CPU vs. GPU performance without the answer

Chris Gregg, Kim Hazelwood

View

Download (PDF)

Tags: Computer science, nVidia, nVidia GeForce 9800 GT, nVidia GeForce GT 330 M, nVidia GeForce GTX 480, Performance, Review, Tesla C2050

May 11, 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

High-performance 3D Compressive Sensing MRI reconstruction

LOD Terrain Rendering by Local Parallel Processing on GPU

Protein alignment algorithms with an efficient backtracking routine on multiple GPUs

Loose capacity-constrained representatives for the qualitative visual analysis in molecular dynamics

A sparse octree gravitational N-body code that runs entirely on the GPU processor

Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs

GPS forward model computing study on CPU/GPU co-processing parallel system using CUDA

Connected component identification and cluster update on GPU

Raytracing Dynamic Scenes on the GPU using Grids

Parallel compact roadmap construction of 3D virtual environments on the GPU

Accelerating QDP++ using GPUs

Where is the data? Why you cannot debate CPU vs. GPU performance without the answer

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)