high performance computing on graphics processing units: hgpu.org

hgpu.org » Cloud

Enabling High Performance Computing in Cloud Infrastructure using Virtualized GPUs

Andrew J. Younge, John Paul Walters, Steve Crago, Geoffrey C. Fox

View

Download (PDF)

Tags: Cloud, Computer science, CUDA, nVidia, Tesla C2075, Tesla K20, Virtualization

December 23, 2013 by hgpu

A Cloud Computing Service Architecture of a Parallel Algorithm Oriented to Scientific Computing with CUDA and Monte Carlo

Ji Yimu, Kuang Zizhuo, Pan Qiao Yu, Sun Yanpeng, Kang Jiangbang, Huang Wei

View

Download (PDF)

Tags: Algorithms, Cloud, Computer science, CUDA, Monte Carlo simulation, nVidia

December 16, 2013 by hgpu

LoGV: Low-overhead GPGPU Virtualization

Mathias Gottschlag, Marius Hillenbrand, Jens Kehne, Jan Stoess, Frank Bellosa

View

Download (PDF)

Tags: Cloud, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Virtualization

November 23, 2013 by hgpu

Construction of a Virtual Cluster by Integrating PCI Pass-Through for GPU and InfiniBand Virtualization in Cloud

Chao-Tung Yang, Wei-Shen Ou

View

Download (PDF)

Tags: Cloud, Cluster computing, Computer science, CUDA, GPU cluster, nVidia, Tesla C2050, Tesla C2070, Tesla C2075, Tesla K20, Virtualization

October 19, 2013 by hgpu

Generation of the Scrambled Halton Sequence Using Accelerators

Emanouil Atanassov, Mariya Durchova

View

Download (PDF)

Tags: Algorithms, Cloud, Computer science, CUDA, nVidia, Tesla M2090

September 4, 2013 by hgpu

Accelerating a Cloud-Based Software GNSS Receiver

Kamran Karimi, Aleks G. Pamir, M. Haris Afzal

View

Download (PDF)

Tags: Cloud, Computer science, CUDA, nVidia, nVidia GeForce GTX 550 Ti, Performance

September 4, 2013 by hgpu

Towards High-Performance and Cost-Effective Distributed Storage Systems with Information Dispersal Algorithms

Dongfang Zhao, Kent Burlingame, Corentin Debains, Pedro Alvarez-Tabio, Ioan Raicu

View

Download (PDF)

Tags: Algorithms, Cloud, Computer science, CUDA, nVidia, nVidia GeForce GT 640, Storage system

August 29, 2013 by hgpu

Ray Tracing in the Cloud using MapReduce

Lesley Northam, Khuzaima Daudjee, Rob Smits, Joe Istead

View

Download (PDF)

Tags: Cloud, Computer science, CUDA, Hadoop, MapReduce, nVidia, Raytracing, Rendering

August 5, 2013 by hgpu

Virtualization and Migration with GPGPUs

Mathias Gottschlag

View

Download (PDF)

Tags: Cloud, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Thesis, Virtualization

June 22, 2013 by hgpu

An Analysis of Conventional and Heterogeneous Workloads on Production Supercomputing Resources

Jonathan Allen Berkhahn

View

Download (PDF)

Tags: Cloud, Computer science, CUDA, Heterogeneous systems, nVidia, Tesla M2050, Tesla S2050

June 13, 2013 by hgpu

OpenCL Implementation of Motion Estimation for Cloud Video Processing

Raffaele Gaetano, Beatrice Pesquet-Popescu

View

Download (PDF)

Tags: Algorithms, Cloud, Computer science, nVidia, OpenCL, Tesla C1060

May 9, 2013 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

* * *

Recent source codes

Most viewed papers (last 30 days)