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

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

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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

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

August 5, 2013 by hgpu

Virtualization and Migration with GPGPUs

Mathias Gottschlag

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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

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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

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

May 9, 2013 by hgpu

GPU-Based Cloud Service for Smith-Waterman algorithm Using Frequency Distance Filtration Scheme

Sheng-Ta Lee, Chun-Yuan Lin, Che Lun Hung

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Tags: Bioinformatics, Biology, Cloud, CUDA, nVidia, Sequence alignment, Smith-Waterman algorithm, Tesla C2050

March 18, 2013 by hgpu

A Wrapper of OpenCL library for gVirtus Framework

Roberto Di Lauro

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Tags: Cloud, Computer science, nVidia, nVidia Quadro FX 5800, OpenCL, Tesla C1060

February 25, 2013 by hgpu

GamePipe: A Virtualized Cloud Platform Design and Performance Evaluation

Zhou Zhao, Kai Hwang, Jose Villeta

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Tags: Cloud, Computer science, CUDA, Games, nVidia, nVidia GeForce 8400 M, Tesla M2070

February 21, 2013 by hgpu

Password Cracking in the Cloud

Gautam Korlam

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Tags: Cloud, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Security

December 23, 2012 by hgpu

Employing GPU Accelerators for Efficient Enforcement of Data Integrity in Outsourced Data

Krishna Prasanth R, R. Mukkamala, P. K. Baruah

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Tags: Cloud, Computer science, CUDA, nVidia, Security, Tesla M2070, Tesla S2050

December 23, 2012 by hgpu

ValuePack: value-based scheduling framework for CPU-GPU clusters

Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat Chakradhar

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Tags: Cloud, Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, Tesla C2050

November 21, 2012 by hgpu

A Framework for Automated Generation of Specialized Function Variants

Nicholas Chaimov

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Tags: Cloud, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480, Optimization, Tesla C2070, Tesla S1070, Thesis

November 6, 2012 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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