high performance computing on graphics processing units: hgpu.org

Larry Seiler, Doug Carmean, Eric Sprangle, Tom Forsyth, Michael Abrash, Pradeep Dubey, Stephen Junkins, Adam Lake, Jeremy Sugerman, Robert Cavin, Roger Espasa, Ed Grochowski, Toni Juan, Pat Hanrahan

View

Download (PDF)

Tags: 3D Graphics and Realism, Architecture, Computer science, Hardware, Larrabee

December 10, 2010 by hgpu

Parallel computing with graphics processing units for high-speed Monte Carlo simulation of photon migration

Erik Alerstam, Tomas Svensson, Stefan A. Engels

View

Download (PDF)

Source codes

Tags: CUDA, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GT, Optics, Package, Physics

December 10, 2010 by hgpu

Graphical Processing Units for Quantum Chemistry

I. S. Ufimtsev, T. J. Martinez

View

Download (PDF)

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

December 10, 2010 by hgpu

GPU-based Fast Ray Casting for a Large Number of Metaballs

Yoshihiro Kanamori, Zoltan Szego, Tomoyuki Nishita

View

Download (PDF)

Tags: 3D Graphics and Realism, Algorithms, Cg, Computer science, nVidia, nVidia GeForce 8800 Ultra, OpenGL, Rendering

December 10, 2010 by hgpu

Initial Experiences Porting a Bioinformatics Application to a Graphics Processor

Maria Charalambous, Pedro Trancoso, Alexandros Stamatakis

View

Download (PDF)

Tags: Bioinformatics, Biology, Brook, nVidia, nVidia GeForce FX 5700

December 10, 2010 by hgpu

GPU-based fast gamma index calcuation

Xuejun Gu, Xun Jia, Steve B. Jiang

View

Download (PDF)

Tags: CUDA, Medical Physics, Medicine, nVidia, Radiotherapy, Tesla C1060

December 10, 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

Future graphics architectures

The impact of accelerator processors for high-throughput molecular modeling and simulation

Biomedical image analysis on a cooperative cluster of GPUs and multicores

Merge: a programming model for heterogeneous multi-core systems

Real-Time Simulation of Medical Ultrasound from CT Images

Cost-effective medical image reconstruction: from clusters to graphics processing units

Larrabee: a many-core x86 architecture for visual computing

Parallel computing with graphics processing units for high-speed Monte Carlo simulation of photon migration

Graphical Processing Units for Quantum Chemistry

GPU-based Fast Ray Casting for a Large Number of Metaballs

Initial Experiences Porting a Bioinformatics Application to a Graphics Processor

GPU-based fast gamma index calcuation

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)