NVIDIA and IBM bring supercomputing to big data analytics

First Page		Document Content
Date: 2015-05-25 14:20:27 Video cards Graphics hardware GPGPU Nvidia Cluster computing Graphics processing unit Supercomputer IBM Molecular modeling on GPU Computing Computer hardware Concurrent computing		NVIDIA and IBM bring supercomputing to big data analytics Add to Reading List Source URL: phys.org Download Document from Source Website File Size: 37,77 KB Share Document on Facebook

	Leveraging Gate-Level Properties to Identify Hardware Timing Channels Jason Oberg∗ , Sarah Meiklejohn∗ , Timothy Sherwood† and Ryan Kastner∗ ∗ Computer Science and Engineering, University of California, San Di DocID: 1xVVy - View Document
	A Practical Testing Framework for Isolating Hardware Timing Channels Jason Oberg∗ , Sarah Meiklejohn∗ , Timothy Sherwood† and Ryan Kastner∗ ∗ Computer Science and Engineering, University of California, San Die DocID: 1xT4u - View Document
	Summary of Changes Made Between MSA Software version 115 and versionUSB Interface The MSA hardware may now be interfaced to the computer by means of USB. Information on installing the necessary driver is po DocID: 1vhVl - View Document
	THE SYSTEM The 8510/a GRAPHICS COMPUTER SYSTEM consists of the Model 8510 DATA PROCESSOR, with FIS/EIS (Hardware floating point option) a 56K Byte memory/ video controller unit and the Model 8532 Keyboard/ Display. This DocID: 1uReZ - View Document
	Modulation – Demodulation Software Radio (MDSR) Software for the BiLiF computer interface Alex Schwarz VE7DXW Introduction: What a year it has been. Last September, we successfully demonstrated the BiLiF hardware at th DocID: 1uObY - View Document