PPT-Security issues in Parallel and Distributed Computing -

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Side channel attacks and defenses Presented by Kazi Mejbaul Islam Introduction and Background Microarchitecture Cache hierarchy Side channels in microarchitecture

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Security issues in Parallel and Distributed Computing -: Transcript

Side channel attacks and defenses Presented by Kazi Mejbaul Islam Introduction and Background Microarchitecture Cache hierarchy Side channels in microarchitecture Threats in parallel and distributed systems. Uni processor computing can be called centralized computing brPage 3br mainframe computer workstation network host network link terminal centralized computing distributed computing A distributed system is a collection of independent computers interc Early. (. a. nd Often). Steven Bogaerts (speaker), . Kyle Burke,. . Brian Shelburne. Department of Mathematics . & Computer Science. Wittenberg University. Springfield, OH. Melissa Smith. Department of Electrical . ITS Research Computing. Lani. Clough, Mark Reed. markreed@unc.edu. . Objectives. Introductory. level MATLAB course for people who want to learn . parallel and GPU computing . in MATLAB.. Help participants . Improving Computer Performance. What performance translates into:. Time taken to do computation. Improving performance . → reducing time taken. What key benefits improving performance can bring:. Can solve “now-computationally-attainable” problems in . Distributed Systems. Outline. Services: DNSSEC. Architecture Models: Grid. Network Protocols: IPv6. Design Issues: Security. The Future: World Community Grid. Services: DNSSEC. DNS. Large distributed database for name-to-. Set up a large number of machines all identically configured. Connect them to a high speed LAN. And to the Internet. Accept arbitrary jobs from remote users. Run each job on one or more nodes. Entire facility probably running mix of single machine and distributed jobs, simultaneously. . and Architectures. Summary. . By. . Srujana. Gorge. . Outline. Introduction Of Distributed System. Goals. Transparency. Services. 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: . Early Adopter: ASU - Intel Collaboration in Parallel and Distributed Computing Yinong Chen , Eric Kostelich , Yann -Hang Lee, Alex Mahalov , Gil Speyer, and Violet R. Syrotiuk 1 st NSF /TCPP Workshop on Parallel and Distributed Computing Education ( Privacy, Security and Trust Issues arising from Cloud Computing Siani Pearson and Azzedine Benameur International Conference of Cloud Computing Technology and Science, 2010 Presented by Shameek Bhattacharjee Explained (T he more things change the more they stay the same) Arnon Rotem - Gal - Oz [This whitepaper is based on a series of blog posts that first appeared in Dr. Dobb's Portal www.ddj.com/dept/a Dr. . Barsha. . Mitra. CSIS . Dept. , BITS Pilani, Hyderabad Campus. Introduction. Course ID: SS ZG526, Title: Distributed Computing. allows for flexibly sharing resources (e.g., files and multimedia documents) stored across network-wide computers. Introduction. Papadakis Harris. Dept. of Engineering Informatics. ΤΕΙ . of Crete. Distributed Systems. - . Contents. Definition. Parallel. . Processing. Distributed . Computin. Clusters. Examples. Computer Science. Purdue University. Research in Cloud Computing. YounSun Cho. cho52@cs.purdue.edu. Computer Science. Purdue University. Anya Kim. anya.kim@nrl.navy.mil. Naval Research Lab. Talk Objectives.

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