PDF-Performance metrics for parallel systemsS.S. KadamC-DAC, Punesskadam@c

CDACSECG2006 CDACSECG2007 To determine best parallel algorithm. Message-Passing Programming S.S. KadamC-DAC, Punesskadam@cdac.in Message Passing Paradigm 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.. Graph . Mining Tasks. 1. Outline. Introduction to Performance Metrics. Supervised Learning Performance . Metrics. Unsupervised . Learning Performance . Metrics. Optimizing Metrics. Statistical Significance Techniques. 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. 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. Metrics: . Exploring . Options for Banks. Lightning round presentation, UNEP FI GRT. Rosemary . Bissett. , National Australia Bank. www.2degrees-investing.org. CLIMATE . GOALS. CARBON BUDGET. ECONOMIC ROADMAPS. New HR Leaders: Strategies for the First 100 Days . Presented by Paul Falcone . www.PaulFalconeHR.com. . Paul@PaulFalconeHR.com. . (310) 691-3838 . 1. And Author of . . . . 101 Sample Write-Ups for Documenting Employee Performance Problems . Speed . Dataing. : Measuring Student Success. Dr. Lou Guthrie, Benchmarking Institute. Sounds better…. Graduation Rates are not a good measure of student success for CCs.. Cover only approximately 13% of your students – FT, FT, degree-seeking. Rouven Krebs (SAP AG). , Christof Momm (SAP AG), Samuel Kounev (KIT). SPEC RG Cloud. , . May . 2012. Isolation . and Shared Resources. provides. Service Provider. High overhead, low utilization .  need to share. Performance Metrics for Graph Mining Tasks 1 Outline Introduction to Performance Metrics Supervised Learning Performance Metrics Unsupervised Learning Performance Metrics Optimizing Metrics Statistical Significance Techniques (USG) needle interventions, such as central venous catheterization (CVC), require simultaneous sonography and needle placement. . Ideally novices should master this skill in a simulated setting, prior to progressing to the clinical realm, in order to minimize risk. Thus. 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 .