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Dealing With Big Data Outside Of The Cloud: GPU Accelerated Sort

John Vidler, Paul Rayson, Laurence Anthony, Andrew Scott, John Mariani

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Tags: Algorithms, Cloud, Computer science, CUDA, nVidia, nVidia GeForce GTX Titan, Sorting

June 18, 2014 by hgpu

Secure Distributed Computing on a Manycore Cloud

Flavio Lombardi

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Tags: Cloud, Computer science, CUDA, Data acquisition, Distributed computing, Heterogeneous systems, nVidia, nVidia GeForce GT 640, Security, Tesla C2050, Thesis

June 13, 2014 by hgpu

GPPE: a GPU-based Parallel Processing Environment for Large Scale Concurrent Data Streams

Jianwei Cao, Qingkui Chen, Songlin Zhuang

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Tags: Cloud, Clustering, Computer science, CUDA, GPU cluster, H.264/AVC, MPI, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 280, nVidia GeForce GTX 295, nVidia GeForce GTX 480

June 12, 2014 by hgpu

Enabling High Performance Computing in Cloud Infrastructure using rCUDA

Yousuf Sait I, Vijayalakshmi R

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

June 11, 2014 by hgpu

Evaluating GPU Passthrough in Xen for High Performance Cloud Computing

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

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

June 1, 2014 by hgpu

GPU Passthrough Performance: A Comparison of KVM, Xen, VMWare ESXi, and LXC for CUDA and OpenCL Applications

John Paul Walters, Andrew J. Younge, Dong-In Kang, Ke-Thia Yao, Mikyung Kang, Stephen P. Crago, Geoffrey C. Fox

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

May 26, 2014 by hgpu

Accelerating Cryptosystems on Hardware Platforms

Wei Wang

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Tags: Cloud, Computer science, CUDA, FFT, nVidia, RSA, Security, Tesla C2050, Thesis

May 6, 2014 by hgpu

Exercising high-level parallel programming on streams: a systems biology use case

Marco Aldinucci, Maurizio Drocco, Guilherme Peretti Pezzi, Claudia Misale, Fabio Tordini, Massimo Torquati

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Tags: Bioinformatics, Biology, Cloud, CUDA, Monte Carlo simulation, nVidia, Tesla K40

April 30, 2014 by hgpu

A GPU-Based Enhanced Genetic Algorithm for Power-Aware Task Scheduling Problem in HPC Cloud

Nguyen Quang-Hung, Le Thanh Tan, Chiem Thach Phat, Nam Thoai

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Tags: Cloud, Computer science, CUDA, nVidia, Probability, Task scheduling, Tesla M2090

April 21, 2014 by hgpu

Local Alignment Tool Based on Hadoop Framework and GPU Architecture

Che-Lun Hun, Guan-Jie Hua

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Tags: Biology, Cloud, CUDA, Hadoop, MapReduce, nVidia, nVidia GeForce GTS 480, Sequence alignment

April 19, 2014 by hgpu

Confidentiality Issues on a GPU in a Virtualized Environment

Clementine Maurice, Christoph Neumann, Olivier Heen, Aurelien Francillon

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

February 11, 2014 by hgpu

Low-latency Image Recognition with GPU-accelerated Convolutional Networks for Web-based Services

Fu Jie Huang

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Tags: Cloud, CUDA, Image processing, Image recognition, nVidia, nVidia GeForce GTX 560 Ti, Thesis

January 26, 2014 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

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