PDF-An Infrastructure for Performance Analysis and Modeling of Parallel an

Taylor of Computer Science Texas AM University College Station TX 77843 Phone 9798455820 taylorcstamu edu Wu of ECE Northwestern University Evanston IL 60208 Phone 8474917378 wuxfecenorth. Hardware Parallelism. Computing: execute instructions that operate on data.. Flynn’s . taxonomy (Michael Flynn, 1967) classifies computer architectures based on the number of instructions that can be executed and how they operate on data.. CIME. . A New Approach for Earth System Modeling – the CESM example. https. ://github.com. /ESMCI/. cime. . Why CIME?. Facilitate . infrastructure modernization as a collaborative . project (e.g. CESM infrastructure). Software. Steve Teixeira. Product Unit Manager. Microsoft Corporation. Session Code. : DEV401. My Assumptions About You. You have some knowledge of parallel development issues. You’d like to focus on the new stuff: Visual Studio 2010 and .NET 4.0. Andrew Lumsdaine. Indiana University. lums@osl.iu.edu. My Goal in Life. Performance with elegance. Introduction. Overview of our high-performance, industrial strength, graph library. Comprehensive features. Improving Computer Performance. What performance translates into:. Time taken to do computation. Improving performance . → reducing time taken. What key benefits improving performance can bring:. Can solve “now-computationally-attainable” problems in . Dimension Reduction. Student: . Seung-Hee. . Bae. Advisor: . Dr. Geoffrey C. Fox. School of Informatics and Computing. Pervasive Technology Institute. Indiana University. Thesis Defense, Jan. 17, 2012. 6/16/2010. Parallel Performance. 1. Performance Considerations. I parallelized my code and …. The code slower than the sequential version, or. I don’t get enough speedup . What should I do?. 6/16/2010. Parallel . Architectures. . & Performance Analysis. Parallel computer: multiple-processor system supporting parallel programming.. Three principle types of architecture. Vector computers, in particular processor arrays. COST Functional Modeling . Workshop. 22-24 April, Helsinki. Types of data sets and modeling. Commercial array data. – more likely to have . tools that support the use of array IDs.. Custom/USDA array data . 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. 2011. Earl . Joseph – . ejoseph@idc.com. . Steve Conway – . sconway@idc.com. Gabriella . Cattaneo. – . gcattaneo@idc.com. . . IDC HPC Market Update:. Top . Trends in HPC. The global economy . INTRODUCTION TO NUMERICAL MODELING IN GEOTECHNICAL ENGINEERING WITH EMPHASIS ON FLAC MODELING www.zamiran.net By Siavash Zamiran, Ph.D., P.E. Geotechnical Engineer, Marino Engineering Associates, Inc. 1.We use a broad definition of trace-based simulation. We consider any simulation environment that decouples creation of the dynamic instruction stream from the model that computes timing to be trace- Osman . Sarood. How faster can we run?. Suppose we have this serial problem with 12 tasks. How fast can we run given 3 processors?. Running in parallel. Execution time reduces from 12 . secs. to 4 .