PPT-A Parallel Algorithm for Construction of Uniform Grids

Javor Kalojanov Philipp Slusallek Saarland University Motivation Grids for GPU ray tracing Trade off quality for fast construction Parallel construction Computational power of GPUs. 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). CCGSC. September 15 . 2008. Geoffrey Fox. Community Grids Laboratory. , . School of informatics . Indiana University. gcf@indiana.edu. , . http://www.infomall.org. 2. Gartner 2008 Technology Hype Curve. 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 ( . 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. Digital Science Center. Pervasive Technology Institute. Student Visits. August 26 2009. Geoffrey. Fox. gcf@indiana.edu. . www.infomall.org. 2. 2. e-moreorlessanything. . ‘ . e-Science. is about global collaboration in key areas of science, and the next generation of infrastructure that will enable it.’ from inventor of term . Solving the SVP in the Ideal Lattice of 128 dimensions. Tsukasa Ishiguro (KDDI R&D Laboratories). Shinsaku Kiyomoto (KDDI R&D Laboratories) . Yutaka Miyake (KDDI R&D Laboratories). Tsuyoshi Takagi. CCGSC. September 15 . 2008. Geoffrey Fox. Community Grids Laboratory. , . School of informatics . Indiana University. gcf@indiana.edu. , . http://www.infomall.org. 2. Gartner 2008 Technology Hype Curve. 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. Arun. . Chawla. The WAVEWATCH III Team + friends. Marine . Modeling and Analysis Branch. NOAA / NWS / NCEP / EMC. NCEP.list.WAVEWATCH@NOAA.gov. NCEP.list.waves@NOAA.gov. Outline. Covered in this lecture:. 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. 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..