Performance of the NVIDIA Jetson TK1 in HPC

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Sep 2015Publisher:IEEEJournal:2015 IEEE International Conference on Cluster Computing

Authors: Yash Ukidave; David R. Kaeli; Umesh Gupta; Kurt Keville;

doi: 10.1109/cluster.2015.147

Performance of the NVIDIA Jetson TK1 in HPC

- Summary
- Metrics

Abstract

The NVIDIA Jetson is demonstrated as a competitiveHPC platform. The Jetson has 192 Kepler CUDA cores that are"true" in that they share a processor: in the case of the Jetson, a32-bit ARM Cortex-A15 variant low power architecture. Ourwork explores the use cases of the Jetson TK1 board as aninterface device for cloud computing, and also as a scalabledevice for energy efficient HPC. We evaluate the performance ofthe unified memory structure of the TK1 and also the powerperformanceratio, as well as energy use, when executing coscheduledapplications.

Related Organizations

Massachusetts Institute of Technology
United States
Northwestern University
United States
Northeastern University
United States
Indian Institute of Technology Bombay
India

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	20
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%