high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » paper

Generation of Random Numbers on Graphics Processors: Forced Indentation In Silico of the Bacteriophage HK97

A. Zhmurov, K. Rybnikov, Y. Kholodov, V. Barsegov

View

Tags: Biological Physics, Chemical Physics, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Physics, Pseudo-random number generators

January 2, 2011 by hgpu

Multiresolution MIP Rendering of Large Volumetric Data Accelerated on Graphics Hardware

Wladimir J. van der Laan, Andrei Jalba, Jos B. T. M. Roerdink

View

Download (PDF)

Tags: Algorithms, Image processing, nVidia, nVidia GeForce 7900 GTX, OpenGL, Rendering, Visualization

January 2, 2011 by hgpu

Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware

Yong Cao, Debprakash Patnaik, Sean Ponce, Jeremy Archuleta, Patrick Butler, Wu-chun Feng and Naren Ramakrishnan

View

Download (PDF)

Tags: Computer science, CUDA, Data mining, Neuroscience, nVidia, nVidia GeForce GTX 280, Programming techniques

January 2, 2011 by hgpu

Accelerating Euler Equations Numerical Solver on Graphics Processing Units

Pierre Kestener, Frederic Chateau, Romain Teyssier

View

Download (PDF)

Tags: CUDA, Mathematics, Numerical simulation, nVidia, nVidia GeForce 8800 GTX, Tesla S1070

January 2, 2011 by hgpu

Analysis of a Computational Biology Simulation Technique on Emerging Processing Architectures

Jeremy S. Meredith, Sadaf R. Alam, Jeffrey S. Vetter

View

Download (PDF)

Tags: Biology, Cell processor, Cg, Computational biology, Molecular dynamics, nVidia, nVidia GeForce 7900 GTX

January 2, 2011 by hgpu

Real-time Rendering of Heterogeneous Translucent Objects with Arbitrary Shapes

Yajun Wang, Jiaping Wang, Nicolas Holzschuch, Kartic Subr, Jun-Hai Yong, Baining Guo

View

Download (PDF)

Tags: 3D Graphics and Realism, Computer science, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Rendering

January 2, 2011 by hgpu

Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors

Dominik Scherer, Hannes Schulz, Sven Behnke

View

Download (PDF)

Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 285

January 2, 2011 by hgpu

Parallel multigrid preconditioning on graphics processing units (GPUs) for robust power grid analysis

Zhuo Feng, Zhiyu Zeng

View

Download (PDF)

Tags: Algorithms, Computational Engineering, Computer science, CUDA, nVidia, nVidia GeForce GTX 285

January 2, 2011 by hgpu

Automatic parallelization for graphics processing units

Alan Leung, Ondrej Lhotak, Ghulam Lashari

View

Download (PDF)

Tags: Computer science, Java, nVidia, nVidia GeForce 7800, Programming techniques, RapidMind

January 2, 2011 by hgpu

Sinus Endoscopy – Application of Advanced GPU Volume Rendering for Virtual Endoscopy

Arno Kruger, Christoph Kubisch, Bernhard Preim, Gero Strauss

View

Download (PDF)

Tags: Cg, Medicine, nVidia, nVidia GeForce 8600 GS, OpenGL, Rendering, Visualization

January 2, 2011 by hgpu

Performing efficient NURBS modeling operations on the GPU

Adarsh Krishnamurthy, Rahul Khardekar, Sara McMains, Kirk Haller, Gershon Elber

View

Download (PDF)

Tags: Algorithms, Computer science, Image generation, nVidia, nVidia Quadro FX 4500, Visualization

January 2, 2011 by hgpu

GPU Color Constancy

Marc Ebner

View

Download (PDF)

Tags: Algorithms, Computer vision, GLSL, Image processing, OpenGL

December 29, 2010 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

Applications

Generation of Random Numbers on Graphics Processors: Forced Indentation In Silico of the Bacteriophage HK97

Multiresolution MIP Rendering of Large Volumetric Data Accelerated on Graphics Hardware

Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware

Accelerating Euler Equations Numerical Solver on Graphics Processing Units

Analysis of a Computational Biology Simulation Technique on Emerging Processing Architectures

Real-time Rendering of Heterogeneous Translucent Objects with Arbitrary Shapes

Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors

Parallel multigrid preconditioning on graphics processing units (GPUs) for robust power grid analysis

Automatic parallelization for graphics processing units

Sinus Endoscopy – Application of Advanced GPU Volume Rendering for Virtual Endoscopy

Performing efficient NURBS modeling operations on the GPU

GPU Color Constancy

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)