high performance computing on graphics processing units: hgpu.org

hgpu.org » nVidia GeForce 8800 GTX

Floating Textures

M. Eisemann, B. De Decker, M. Magnor, P. Bekaert, E. de Aguiar, N. Ahmed, C. Theobalt, A. Sellent

View

Tags: 3D Graphics and Realism, Computer science, GLSL, Image generation, nVidia, nVidia GeForce 8800 GTX, OpenGL, Optical flow

December 12, 2010 by hgpu

Real-time Animation of Sand-Water Interaction

Witawat Rungjiratananon, Zoltan Szego, Yoshihiro Kanamori, Tomoyuki Nishita

View

Download (PDF)

Tags: 3D Graphics and Realism, Cg, Computer science, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Real-time graphics

December 12, 2010 by hgpu

An image-warping VR-architecture: design, implementation and applications

F. A. Smit, R. van Liere, B. Frohlich

View

Download (PDF)

Tags: 3D Graphics and Realism, Computer science, Image generation, nVidia, nVidia GeForce 8800 GTX, nVidia Quadro FX 5600, OpenGL

December 12, 2010 by hgpu

Managing coherent groups

Renato Silveira, Edson Prestes, Luciana P. Nedel

View

Download (PDF)

Tags: Algorithms, Computer science, Games, nVidia, nVidia GeForce 8800 GTX

December 12, 2010 by hgpu

Deforming a High-Resolution Mesh in Real-Time by Mapping onto a Low-Resolution Physical Model

Hans de Visser, Olivier Comas, David Conlan, Sebastien Ourselin, Josh Passenger, Olivier Salvado

View

Download (PDF)

Tags: Computed tomography, CT, CUDA, Image processing, Medicine, nVidia, nVidia GeForce 8800 GTX

December 12, 2010 by hgpu

Towards systematic exploration of tradeoffs for medical image registration on heterogeneous platforms

W. Plishker, O. Dandekar, S. S. Bhattacharyya, R. Shekhar

View

Download (PDF)

Tags: Computed tomography, CT, CUDA, Image processing, Image registration, Medicine, nVidia, nVidia GeForce 8800 GTX

December 12, 2010 by hgpu

Exploring Parallel Algorithms for Volumetric Mass-Spring-Damper Models in CUDA

Allan Rasmusson, Jesper Mosegaard, Thomas S. Sorensen

View

Download (PDF)

Tags: Biology, CUDA, Medicine, nVidia, nVidia GeForce 8800 GTX

December 12, 2010 by hgpu

Map-reduce as a Programming Model for Custom Computing Machines

Jackson H. C. Yeung, C. C. Tsang, K. H. Tsoi, Bill S. H. Kwan, Chris C. C. Cheung, Anthony P. C. Chan, Philip H. W. Leong

View

Download (PDF)

Tags: Computer science, CUDA, FPGA, MapReduce, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GTX, Signal processing

December 12, 2010 by hgpu

The visible ear surgery simulator

Peter Trier, Karsten O. Noe, Mads S. Sorensen, Jesper Mosegaard

View

Download (PDF)

Tags: Medicine, nVidia, nVidia GeForce 8800 GTX, OpenGL, Rendering, Surgical simulation, Visualization

December 12, 2010 by hgpu

A compiler framework for optimization of affine loop nests for gpgpus

Muthu M. Baskaran, Uday Bondhugula, Sriram Krishnamoorthy, J. Ramanujam, Atanas Rountev, P. Sadayappan

View

Download (PDF)

Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTX, Optimization

December 12, 2010 by hgpu

Two-electron integral evaluation on the graphics processor unit

Koji Yasuda

View

Download (PDF)

Tags: Chemistry, Computational chemistry, CUDA, Molecular modeling, nVidia, nVidia GeForce 8800 GTX

December 12, 2010 by hgpu

A Fast Similarity Join Algorithm Using Graphics Processing Units

M. D. Lieberman, J. Sankaranarayanan, H. Samet

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Text mining

December 12, 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

Floating Textures

Real-time Animation of Sand-Water Interaction

An image-warping VR-architecture: design, implementation and applications

Managing coherent groups

Deforming a High-Resolution Mesh in Real-Time by Mapping onto a Low-Resolution Physical Model

Towards systematic exploration of tradeoffs for medical image registration on heterogeneous platforms

Exploring Parallel Algorithms for Volumetric Mass-Spring-Damper Models in CUDA

Map-reduce as a Programming Model for Custom Computing Machines

The visible ear surgery simulator

A compiler framework for optimization of affine loop nests for gpgpus

Two-electron integral evaluation on the graphics processor unit

A Fast Similarity Join Algorithm Using Graphics Processing Units

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)