Composable Architecture for Rack Scale Big Data Computing Chung-Sheng Li1, Hubertus Franke1, Colin Parris2, Bulent Abali1, Mukil Kesavan3, Victor Chang4 1. IBM Thomas J. Watson Research Center, Yorktown Heights, NY 1059

First Page		Document Content
Date: 2016-07-21 12:31:14 Computing Computer hardware Computer performance Computer storage media Non-volatile memory Solid-state drive Composability Hyper-V IOPS Storage area network Apache Hadoop Direct memory access		Composable Architecture for Rack Scale Big Data Computing Chung-Sheng Li1, Hubertus Franke1, Colin Parris2, Bulent Abali1, Mukil Kesavan3, Victor Chang4 1. IBM Thomas J. Watson Research Center, Yorktown Heights, NY 1059 Add to Reading List Source URL: eprints.soton.ac.uk Download Document from Source Website File Size: 954,16 KB Share Document on Facebook

	McGill University School of Computer Science Sable Research Group WebAssembly and JavaScript Challenge: Numerical program performance using DocID: 1xUSq - View Document
	Power Signatures of High-Performance Computing Workloads Jacob Combs, Jolie Nazor, Rachelle Thysell, Fabian Santiago, Matthew Hardwick, Lowell Olson, Suzanne Rivoire Department of Computer Science Sonoma State University DocID: 1xU1X - View Document
	Cache Sharing Management for Performance Fairness in Chip Multiprocessors Xing Zhou Wenguang Chen Weimin Zheng Dept. of Computer Science and Technology Tsinghua University, Beijing, China DocID: 1vptK - View Document
	Next-Term Student Performance Prediction: A Recommender Systems Approach∗ Mack Sweeney Computer Science George Mason University DocID: 1vgeP - View Document
	Improving Bloom filter performance on sequence data using k-mer Bloom filters David Pellow1? , Darya Filippova2 , and Carl Kingsford2?? 1 The Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv 69978, Is DocID: 1vcxL - View Document