high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

Efficient Computational Methods for Uncertainty Quantification of Large Systems

Gaurav Gaurav

View

Download (PDF)

Tags: Computer science, CUDA, Nonlinear analysis, nVidia, Tesla C1060, Thesis

December 18, 2011 by hgpu

The MOSIX Cluster Operating System for High-Performance Computing on Linux Clusters, Multi-Clusters, GPU Clusters and Clouds

A. Barak, A. Shiloh

View

Download (PDF)

Source codes

Tags: Cloud, Computer science, GPU cluster, nVidia, nVidia GeForce GTX 480, OpenCL, Operating systems, Package

December 18, 2011 by hgpu

Parallel paradigms in optimal structural design

Van Huyssteen, Salomon Stephanus

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, OpenCL, Optimization, Thesis

December 18, 2011 by hgpu

Massively Parallel Logic Simulation with GPUs

Yuhao Zhu, Bo Wang, Yangdong Deng

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Electronic design automation, nVidia, nVidia GeForce GTX 280, Optimization, Performance

December 17, 2011 by hgpu

Extendable pattern-oriented optimization directives

Huimin Cui, Jingling Xue, Lei Wang, Yang Yang, Xiaobing Feng, Dongrui Fan

View

Download (PDF)

Tags: Algorithms, Code generation, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Optimization

December 17, 2011 by hgpu

Quartile and Outlier Detection on Heterogeneous Clusters Using Distributed Radix Sort

Kyle L. Spafford, Jeremy S. Meredith, Jeffrey S. Vetter

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Package, Sorting, Tesla M2070

December 17, 2011 by hgpu

Parallel Mining of Neuronal Spike Streams on Graphics Processing Units

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

View

Download (PDF)

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

December 17, 2011 by hgpu

Code Optimization Techniques for Graphics Processing Units

Fernando Magno Quintao Pereira

View

Download (PDF)

Source codes

Tags: Algorithms, Book, Code generation, Computer science, CUDA, nVidia, nVidia GeForce 9400 M, Optimization, Package, Programming techniques, PTX, Tutorial

December 17, 2011 by hgpu

Customizable Memory Schemes for Data Parallel Accelerators

Chunyang Gou

View

Download (PDF)

Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 280, Performance, Programming techniques, Thesis

December 17, 2011 by hgpu

A Comparison of Modern GPU and CPU Architectures: And the Common Convergence of Both

Jonathan Palacios, Josh Triska

View

Download (PDF)

Tags: Computer science, Hardware Architecture, nVidia, Overview, Performance

December 17, 2011 by hgpu

A Parallel GPU Version of the Traveling Salesman Problem

Molly A. O'Neil, Dan Tamir, Martin Burtscher

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Package, Tesla C2050

December 16, 2011 by hgpu

Reducing Thread Divergence in GPU-based B and B Applied to the Flow-shop problem

Imen Chakroun, Ahcene Bendjoudi, Nouredine Melab

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Data parallelism, nVidia, Tesla C2050

December 16, 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

Efficient Computational Methods for Uncertainty Quantification of Large Systems

Parallel paradigms in optimal structural design

Massively Parallel Logic Simulation with GPUs

Extendable pattern-oriented optimization directives

Quartile and Outlier Detection on Heterogeneous Clusters Using Distributed Radix Sort

Parallel Mining of Neuronal Spike Streams on Graphics Processing Units

Code Optimization Techniques for Graphics Processing Units

Customizable Memory Schemes for Data Parallel Accelerators

A Comparison of Modern GPU and CPU Architectures: And the Common Convergence of Both

A Parallel GPU Version of the Traveling Salesman Problem

Reducing Thread Divergence in GPU-based B and B Applied to the Flow-shop problem

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)