PPT-Starting Parallel Algorithm Design

David Monismith Based on notes from Introduction to Parallel Programming 2 nd Edition by Grama Gupta Karypis and Kumar Outline Decomposition Tasks and Interaction Load Balancing. Kwik Kerb’s franchise-like business system has been helping people like you achieve their dreams by starting their own profitable landscaping business. Kwik Kerb works because it’s EASY! Anyone who follows the system, loves to work outdoors and has a great attitude can operate their own successful landscape curbing business from day one. 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). Circulant. Linear Systems with Applications to Acoustics. Suzanne Shontz, University of Kansas . Ken . Czuprynski. , University of . Iowa. John . Fahnline. , Penn State. EECS 739: Scientific Parallel Computing. Richard Peng. M.I.T.. Joint work with Dan Spielman (Yale). Efficient Parallel Solvers for SDD Linear Systems. Richard Peng. M.I.T.. Work in progress with . Dehua. Cheng (USC),. Yu Cheng (USC), . Yintat. Circulant. Linear Systems with Applications to Acoustics. Suzanne Shontz, University of Kansas . Ken . Czuprynski. , University of Iowa. John . Fahnline. , Penn State. EECS 739: Scientific Parallel Computing. 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. Richard Peng. M.I.T.. Joint work with Dan Spielman (Yale). Efficient Parallel Solvers for SDD Linear Systems. Richard Peng. M.I.T.. Work in progress with . Dehua. Cheng (USC),. Yu Cheng (USC), . Yintat. 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. Lines. via . a GA based Approach. Parallel two-sided assembly line balancing problem (PTALBP) is a new research domain and parallel two-sided assembly lines carry practical advantages of both parallel assembly lines and two-sided assembly lines (Kucukkoc and Zhang, 2015). The purpose of this research is to propose a new genetic algorithm (GA) approach for balancing more than one two-sided assembly line constructed in parallel. The proposed algorithm is the first attempt to solve this problem with a GA based approach. To assess the performance of the algorithm, a set of benchmark problems are solved with the proposed approach and results obtained are compared with existing tabu search algorithm in the literature. . Our Model. Task Analysis – results in a set of tasks and user personas that can be used to evaluate potential designs.. User Personas (Design for Hackers) are kind of like the personas in Task Analysis. . Circulant. Linear Systems with Applications to Acoustics. Suzanne Shontz, University of Kansas . Ken . Czuprynski. , University of Iowa. John . Fahnline. , Penn State. EECS 739: Scientific Parallel Computing. Mohammadhossein . Behgam. Agenda. Need for parallelism. Challenges. Image processing algorithms. Data handling & Load Balancing. Communication cost & performance. What is the problem?. Image Processing applications can be very computationally demanding due to:. \"16 minutes ago -

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