PPT-SEEM 3460

Author : lindy-dunigan | Published Date : 2016-12-17

1 Java Basic Introduction Classes and Objects SEEM 3460 2 SEEM 3460 2 Writing Classes Now we will begin to design programs that rely on classes that we write ourselves

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SEEM 3460: Transcript

1 Java Basic Introduction Classes and Objects SEEM 3460 2 SEEM 3460 2 Writing Classes Now we will begin to design programs that rely on classes that we write ourselves The class that contains the main method is just the starting point of a program. ilit ight 00.650.3510.2011.3590.0330.4170.3460.1502.965.088244360.0620.079-0.7840.4871.6240.76728.6362S125-300.1940.660.3810.2101.4020.0330.4150.3760.1563.085.297944490.0630.086-0.7730.4821.6540.78228 ReceivedApril3,2003.AcceptedMay14,2003.Correspondingauthor:P.L.Ruegg;e-mail:plruegg@wisc.edu.Presentaddress:UniversityofWisconsin,CooperativeExtension,GreenLakeCourthouse,492HillSt.,GreenLake,WI54941. – Blokken 84, 3460 Birker CUDA Lecture 1. Introduction to Massively Parallel Computing. A quiet revolution and potential buildup. Computation: TFLOPs . vs. . 100 GFLOPs. CPU in every PC – massive volume and potential impact. CUDA Lecture 4. CUDA Programming Basics. Things we need to consider:. Control. Synchronization. Communication. Parallel programming languages offer different ways of dealing with above. CUDA Programming Basics – Slide . CUDA Lecture 7. CUDA Threads and Atomics. The Problem: how do you do global communication?. Finish a kernel and start a new one. All writes from all threads complete before a kernel finishes. Would need to decompose kernels into before and after parts. CUDA Lecture 6. Embarrassingly Parallel Computations. A computation that can obviously be divided into a number of completely independent parts, each of which can be executed by a separate process(or).. Parallel . Architectures. . & Performance Analysis. Parallel computer: multiple-processor system supporting parallel programming.. Three principle types of architecture. Vector computers, in particular processor arrays. CUDA Lecture 3. Parallel Architectures and Performance Analysis. Conventional Von Neumann architecture consists of a processor executing a program stored in a (main) memory:. Each main memory location located by its address. Addresses start at zero and extend to 2. I15K people in SW Brazil IIyowoku your house owoku his house IIIAutosegmental affixation / suprafixation Nasalization of the vowels of the word mark the first singular possessive IVLexicon /emou/ N

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