high performance computing on graphics processing units: hgpu.org

hgpu.org » ARM

Exploring CPU-GPU Coherence

Gokul Subramanian, Urmish Thakker, Swapnil Haria, Rohit Shukla, Han Lin

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Tags: ARM, ATI, Computer science, GPGPU-sim, Heterogeneous systems, HSA, OpenCL

June 8, 2015 by hgpu

Power, Energy and Speed of Embedded and Server Multi-Cores applied to Distributed Simulation of Spiking Neural Networks: ARM in NVIDIA Tegra vs Intel Xeon quad-cores

Pier Stanislao Paolucci, Roberto Ammendola, Andrea Biagioni, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Michele Martinelli, Elena Pastorelli, Francesco Simula, Piero Vicini

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Tags: ARM, Computer science, MPI, Neural networks, Neurons and Cognition, nVidia, STDP

May 15, 2015 by hgpu

The Design and Implementation of a Verification Technique for GPU Kernels

Adam Betts, Nathan Chong, Alastair F. Donaldson, Jeroen Ketema, Shaz Qadeer, Paul Thomson, John Wickerson

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Tags: ARM, ATI, ATI Radeon HD 7970, Computer science, CUDA, nVidia, OpenCL, Package, Tesla C2050

April 4, 2015 by hgpu

Methods and Metrics for Fair Server Assessment under Real-Time Financial Workloads

Giorgis Georgakoudis, Charles J. Gillan, Ahmed Sayed, Ivor Spence, Richard Faloon, Dimitrios S. Nikolopoulos

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Tags: ARM, Computer science, Finance, Intel Xeon Phi, Option pricing

January 5, 2015 by hgpu

Heterogeneous High Throughput Scientific Computing with APM X-Gene and Intel Xeon Phi

David Abdurachmanov, Brian Bockelman, Peter Elmer, Giulio Eulisse, Robert Knight, Shahzad Muzaffar

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Tags: ARM, Computational Physics, Computer science, Distributed computing, Heterogeneous systems, High Energy Physics - Experiment, Intel Xeon Phi, Physics

December 5, 2014 by hgpu

Improving GPU Performance by Regrouping CPU-Memory Data

Deepthi Gummadi

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Tags: ARM, Computer science, CUDA, nVidia, Performance, Tesla C2075, Tesla K20, Thesis

November 25, 2014 by hgpu

Scalable Verification Techniques for Data-Parallel Programs

Nathan Yong Seng Chong

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Tags: ARM, Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 570, OpenCL, Package, Tesla M2050, Thesis

November 25, 2014 by hgpu

A Case Study of OpenCL on an Android Mobile GPU

James A. Ross, David A. Richie, Song J. Park, Dale R. Shires, Lori L. Pollock

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Tags: ARM, ATI, ATI Radeon HD 6970, Computer science, N-body simulation, OpenCL

October 14, 2014 by hgpu

Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM

Luigi Nardi, Bruno Bodin, M. Zeeshan Zia, John Mawer, Andy Nisbet, Paul H. J. Kelly, Andrew J. Davison, Mikel Lujan, Michael F. P. O'Boyle, Graham Riley, Nigel Topham, Steve Furber

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Tags: Algorithms, ARM, Benchmarking, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX Titan, OpenCL, Performance

October 10, 2014 by hgpu

Pattern Matching in OpenCL: GPU vs CPU Energy Consumption on Two Mobile Chipsets

Elena Aragon, Juan M. Jimenez, Arian Maghazeh, Jim Rasmusson, Unmesh D. Bordoloi

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Tags: Algorithms, ARM, Computer science, Embedded high-performance computing, OpenCL, Pattern Search

September 11, 2014 by hgpu

Code Generation for High-Level Synthesis of Multiresolution Applications on FPGAs

Moritz Schmid, Oliver Reiche, Christian Schmitt, Frank Hannig, Jurgen Teich

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Tags: ARM, Code generation, Compilers, Computational Complexity, Computer science, Differential equations, FPGA, Image processing, Partial differential equations, PDEs

August 23, 2014 by hgpu

High Performance Low Power Embedded Vision Systems

Antonis S. Nikitakis

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Tags: Algorithms, ARM, Computer science, Computer vision, CUDA, FPGA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 580, OpenCV, Thesis

July 22, 2014 by hgpu

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high performance computing on graphics processing units: hgpu.org

Exploring CPU-GPU Coherence

Power, Energy and Speed of Embedded and Server Multi-Cores applied to Distributed Simulation of Spiking Neural Networks: ARM in NVIDIA Tegra vs Intel Xeon quad-cores

The Design and Implementation of a Verification Technique for GPU Kernels

Methods and Metrics for Fair Server Assessment under Real-Time Financial Workloads

Heterogeneous High Throughput Scientific Computing with APM X-Gene and Intel Xeon Phi

Improving GPU Performance by Regrouping CPU-Memory Data

Scalable Verification Techniques for Data-Parallel Programs

A Case Study of OpenCL on an Android Mobile GPU

Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM

Pattern Matching in OpenCL: GPU vs CPU Energy Consumption on Two Mobile Chipsets

Code Generation for High-Level Synthesis of Multiresolution Applications on FPGAs

High Performance Low Power Embedded Vision Systems

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