PPT-Massively Parallel/Distributed Data Storage Systems

S Sudarshan IIT Bombay Derived from an earlier talk by S Sudarshan presented at the MSRI Summer School on Distributed Systems MayJune 2012 Why Distributed Data Storage aka Cloud Storage. Unlike sequential algorithms parallel algorithms cannot be analyzed very well in isolation One of our primary measures of goodness of a parallel system will be its scalability Scalability is the ability of a parallel system to take advantage of incr Gupta IBM India Research Labs Block 1 IIT Hauz Khas New Delhi India saurabhagarwal grahul meetashainibmcom Jose E Moreira IBM TJ Watson Research Center Yorktown Heights NY 10598 moreirausibmcom ABSTRACT Giventhescaleofmassivelyparallelsystemsoccurre – . The Holy Grail for Energy Security?. Markus . Hoehner, . Founder and CEO. Solar Breakfast Briefing 2014, . Riyadh. , KSA. April 17th, 2014. About Us. The Hoehner Research & Consulting Group (HRCG) incorporates the expertise of . Goals for Rest of Course. Learn how to program massively parallel processors and achieve. high performance. functionality and maintainability. scalability across future generations. Acquire technical knowledge required to achieve the above goals. CUDA Lecture 1. Introduction to Massively Parallel Computing. A quiet revolution and potential buildup. Computation: TFLOPs . vs. . 100 GFLOPs. CPU in every PC – massive volume and potential impact. Spring 2015. Ki-. Joune. Li . http://isel.cs.pusan.ac.kr/~lik. Pusan National University. An . assignment. Choose an electronic (or electric) device . Define additional functions with. . data storage. : . A Fault-Tolerant Abstraction for In-Memory Cluster Computing. Matei. . Zaharia. , . Mosharaf. Chowdhury, . Tathagata. Das, . Ankur. Dave, Justin Ma, Murphy McCauley, Michael J. Franklin, Scott . Dr Susan Cartwright. Dept of Physics and Astronomy. University of Sheffield. Parallel Universes. Are you unique?. Could there be another “you” differing only in what you had for breakfast this morning?. Heshan Lin. (NCSU). Pavan Balaji (ANL). Ruth Poole, Carlos Sosa (IBM). Xiaosong Ma (NCSU & ORNL). Wu Feng (VT). 2. Sequence Search. Fundamental tool in computational biology. Search similarities between a set of query sequences and sequence databases (DBs). S. Sudarshan. IIT Bombay. Derived from an earlier talk by S. . Sudarshan, presented . at the. MSRI Summer School on Distributed Systems, May/June 2012. Why Distributed Data Storage a.k.a. Cloud Storage. Sig Freund. CSC 8320 Fall . 2008. rfreund1@student.gsu.edu. Transparency in Distributed Operating Systems. Evolution of Modern Operating Systems. Centralized operating system. network access and resource sharing. Recall: Microprocessors are classified by how memory is organized. Tightly-coupled multiprocessor systems use the same memory. They are also referred to as . shared memory multiprocessors. .. The processors do not necessarily have to share the same block of physical memory: . Topics covered. Distributed systems characteristics and issues. Models of component interaction . Client–server computing. Architectural patterns for distributed systems. Software as a service. Distributed systems. kindly visit us at www.nexancourse.com. Prepare your certification exams with real time Certification Questions & Answers verified by experienced professionals! We make your certification journey easier as we provide you learning materials to help you to pass your exams from the first try.