high performance computing on graphics processing units: hgpu.org

hgpu.org » CUDA

Evaluation of an accelerator architecture for Speckle Reducing Anisotropic Diffusion

Siddharth Nilakantan, Srikanth Annangi, Nikhil Gulati, Karthik Sangaiah, Mark Hempstead

View

Tags: Algorithms, Computer science, CUDA, Embedded high-performance computing, nVidia, nVidia GeForce 8800 GTX, OpenMP, Performance, Ultrasound

November 12, 2011 by hgpu

A multi-GPU acceleration for 3D imaging of the prostate

E. A. Attardo, A. Borsic, R. J. Halter

View

Download (PDF)

Tags: CUDA, Medicine, nVidia, Tesla S1070, Tomography, Ultrasound

November 12, 2011 by hgpu

Sustainable GPU Computing at Scale

Justin Y. Shi, Moussa Taifi, Abdallah Khreishah, Jie Wu

View

Download (PDF)

Tags: Computer science, CUBLAS, CUDA, Energy-efficient computing, Fault tolerance, nVidia, OpenMPI, Tesla S1070

November 12, 2011 by hgpu

Multithread Content Based File Chunking System in CPU-GPGPU Heterogeneous Architecture

Zhi Tang, Youjip Won

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 460

November 12, 2011 by hgpu

Building a Real-Time Multi-GPU Platform: Robust Real-Time Interrupt Handling Despite Closed-Source Drivers

Glenn A. Elliott, James H. Anderson

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 470, Package, Performance

November 11, 2011 by hgpu

Many-body quantum chemistry on graphics processing units

A. Eugene DePrince III, Jeff R. Hammond, Stephen K. Gray

View

Download (PDF)

Tags: Algorithms, Chemistry, Computational chemistry, CUDA, Heterogeneous systems, Matrix multiplication, Molecular modeling, nVidia, Tesla C2050

November 11, 2011 by hgpu

Accelerating the Smoldyn Spatial Stochastic Biochemical Reaction Network Simulator Using GPUs

Denis V. Gladkov, Samuel Alberts, Roshan M. D'Souza, Steven Andrews

View

Download (PDF)

Tags: Algorithms, Biochemistry, Computational Complexity, Computer science, CUDA, nVidia, Tesla C2050

November 11, 2011 by hgpu

Improving GPU Performance via Large Warps and Two-Level Warp Scheduling

Veynu Narasiman, Chang Joo Lee, Michael Shebanow, Rustam Miftakhutdinov, Onur Mutlu, Yale N. Patt

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Performance, Warp level parallelism

November 11, 2011 by hgpu

Run, Stencil, Run! – A Comparison of Modern Parallel Programming Paradigms

Helmar Burkhart, Matthias Christen, Max Rietmann, Madan Sathe, Olaf Schenk

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, MPI, nVidia, OpenMP, Tesla C2050

November 10, 2011 by hgpu

Generation of planar radiographs from 3D anatomical models using the GPU

Andre dos Santos Cardoso

View

Download (PDF)

Tags: Algorithms, Benchmarking, CUDA, Data parallelism, Image processing, Image registration, Medicine, nVidia, nVidia GeForce GT 240, Optimization, Thesis

November 10, 2011 by hgpu

cudaBayesreg: Parallel Implementation of a Bayesian Multilevel Model for fMRI Data Analysis

Adelino R. Ferreira da Silva

View

Download (PDF)

Source codes

Tags: Bayesian, Computer science, CUDA, Magnetic resonance imaging, MRI, nVidia, nVidia GeForce 8400 M GS, Package

November 10, 2011 by hgpu

Fast Hair Simulation and Rendering Using CUDA and OpenGL

Steve Lesser

Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, OpenGL, Rendering

November 10, 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

Evaluation of an accelerator architecture for Speckle Reducing Anisotropic Diffusion

A multi-GPU acceleration for 3D imaging of the prostate

Sustainable GPU Computing at Scale

Multithread Content Based File Chunking System in CPU-GPGPU Heterogeneous Architecture

Building a Real-Time Multi-GPU Platform: Robust Real-Time Interrupt Handling Despite Closed-Source Drivers

Many-body quantum chemistry on graphics processing units

Accelerating the Smoldyn Spatial Stochastic Biochemical Reaction Network Simulator Using GPUs

Improving GPU Performance via Large Warps and Two-Level Warp Scheduling

Run, Stencil, Run! – A Comparison of Modern Parallel Programming Paradigms

Generation of planar radiographs from 3D anatomical models using the GPU

cudaBayesreg: Parallel Implementation of a Bayesian Multilevel Model for fMRI Data Analysis

Fast Hair Simulation and Rendering Using CUDA and OpenGL

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)