PPT-Computational and Communication Complexity in Massively Parallel

Computation Grigory Yaroslavtsev Indiana University Bloomington httpgrigoryus Cluster Computation a la BSP Input size n eg n billions of edges in a graph. 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 Batmen Camp. Outreach Program. Dr. Suzanne . Shontz. Department of Mathematics and Statistics. Department of Computer Science and Engineering. Center for Computational Sciences. Graduate Program in Computational Engineering. http://. uoregon.edu/~moursund/dave/index.htm. “Computational . thinking is a fundamental skill for everybody, not just for computer scientists. To reading, writing, and arithmetic, we should add computational thinking to every child’s analytical ability. Enrico Pontelli. Department of Computer Science. New Mexico State University. The buzzword…. “Computational Thinking” . The thought processes involved in formulating problems and their solutions so that the solutions are represented in a form that can be effectively carried out by an information processing agent [Wing-. 119. . submissions. Paris ‘09: . 113 . (deadline . after. STOC) . Prague '06: . 87. . Aarhus '03: . 65 . Florence '00: . 63. . 18 junk submissions. 34. papers accepted. Second highest ever? Paris ’09 had . 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. Efficient URL Caching for World Wide Web Crawling. Presenter. Sawood. . Alam. salam@cs.odu.edu. AND. Parallel Crawlers. Hector Garcia-Molina. Stanford University. cho@cs.stanford.edu. Junghoo. Cho. Anjul Patney, Stanley Tzeng, and John D. Owens. University of California, Davis. Parallelism in Interactive Graphics. Well-expressed in hardware as well as APIs. Consistently growing in degree & expression. Lecture 1: . Intro; Turing machines; . Class P and NP . . . Indian Institute of Science. About the course. Computational complexity attempts . to classify computational . problems. Lecture 1: . Intro; Turing machines; . Class P and NP . . . Indian Institute of Science. About the course. Computational complexity attempts . to classify computational . problems. Andris Ambainis (Latvia), . Martins Kokainis (Latvia), . Robin Kothari (MIT). communication complexity. Alice holds . x. X. , Bob holds . y. Y. .. D. cc. (f). - minimum amount of communication to compute . Toniann. . Pitassi. University of Toronto. 2-Party Communication Complexity. [Yao]. 2-party communication: . each party has a dataset. . Goal . is to compute a function f(D. A. ,D. B. ). m. 1. m. 2. June 1, 2013. Mark Braverman. Princeton University. a tutorial. Part I: Information theory. Information theory, in its modern format was introduced in the 1940s to study the problem of transmitting data over physical channels. . 8255.  . 1. Parallel Communication Interface 8255. 8255. Signals. Block diagram. I/O mode. BSR Mode. Control word. 2. Parallel Communication Interface 8255. The . 8255 is a widely used, programmable parallel I/O device. .