PPT-Parallel Gauss Sieve Algorithm

Author : tawny-fly | Published Date : 2016-12-14

Solving the SVP in the Ideal Lattice of 128 dimensions Tsukasa Ishiguro KDDI RampD Laboratories Shinsaku Kiyomoto KDDI RampD Laboratories Yutaka Miyake KDDI RampD

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Parallel Gauss Sieve Algorithm: Transcript


Solving the SVP in the Ideal Lattice of 128 dimensions Tsukasa Ishiguro KDDI RampD Laboratories Shinsaku Kiyomoto KDDI RampD Laboratories Yutaka Miyake KDDI RampD Laboratories Tsuyoshi Takagi. 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 Burrows-Wheeler. Compression and Decompression. James A. Edwards. , Uzi Vishkin. University of Maryland. Introduction. Lossless data compression. Common tool . . better use of . memory (e.g., disk space). On . the development of numerical . parallel algorithms . for the insetting procedure. Master of Science in . Communication & Information Systems.  . Department of Informatics & Communications. Algorithms:. Graph . coloring. Created by: . . . Avdeev. . Alex,. . . Blakey Paul.. Criteria for good graph coloring algorithm:. Coloring Quality: . Number of colors needed . Number of colors ( . Topics. . . Who he is. When he was born. Where he was born. Childhood & schooling. Personal life. Professional life. Contribution to math. Awards & honors. . What he published . . Interesting facts. + Introduction. SIeve. + is a Plug-In module to the . DDView. + software which is integrated in the PDF-4 products. . SIeve. + is licensed separately at an additional cost except for the PDF-4/Organics database. . April 10, 2012. Parallel Graph Algorithms. Aydın . Buluç. ABuluc@lbl.gov. Lawrence Berkeley National Laboratory. Some slides from: . Kamesh. . Madduri. , John Gilbert, Daniel . Delling. . Graph Preliminaries. Jeremiah van Oosten. Reinier. van . Oeveren. Introduction. Related Works. Prefix Sums and Scans. Recursive Filtering. Summed-Area Tables. Problem Definition. Parallelization Strategies. Baseline (Algorithm RT). . Introduction. SIeve. is a Plug-In module to the . DDView. software which is integrated in the PDF-2 products. . SIeve. is licensed separately at an additional cost. . SIeve. will activate for a free 30-day trial period or until the product is registered. A license for . Evaluation. . Sequential: runtime (execution time). . Ts. =T (. InputSize. ). . Parallel: runtime (. s. tart-->last PE ends). . Tp. =T (. InputSize,p,architecture. ). . Note: Cannot be Evaluated in Isolation from the Parallel architecture. Computing. Jie Liu. , . Ph.D.. Professor. Computer Science Division. Western Oregon University. Monmouth, Oregon, USA. liuj@wou.edu. outline. The . fastest computers. The PRAM model. The O(1) algorithm that finds the max. 2.  . Turing machine.  . RAM (. Figure . ).  . Logic circuit model. . RAM . (Random Access Machine). Operations . supposed to be executed in one unit time. (1).  . Control operations such as. Solving triangular systems. Forward substitution - For solving Lower triangular systems. Consider a system described by the following equation . . . If then the unknowns can be determined sequentially. By:. Dasari Charithambika (210302). Divya Gupta(210353). Course Instructors:. Dr. Preeti Malakar. Dr. Soumya Dutta.. M. Larsen, S. Labasan, P. Navrátil,. J.S. Meredith, and H. Childs (2015). Various hardware architectures are used in supercomputers, including GPUs, many-core coprocessors, large multi-core CPUs, low-power architectures, hybrid designs, and experimental designs..

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