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

CDACSECG2006 CDACSECG2007 To determine best parallel algorithm. 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.. Survey . Results. With help from Marty . Klubeck. at Notre Dame and Brenda . Osuna. at USC. Who are we?. Brown. Carnegie Mellon. Columbia . Cornell . CU. -Boulder . Duke . University . Georgetown . Project and Process Metrics. Why do we measure?. Assessing project status. Allows us to track risks. Before they go critical. Adjust workflow. See if the team can control the quality of artifacts. Example metric. 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 . Peter Andras. School of Computing Science. Newcastle University. peter.andras@ncl.ac.uk. Overview. Introduction. Research metrics. Science domains and evolution of science. Quality and performance. Science management. Don McGreal. don.mcgreal@improvingenterprises.com. @. donmcgreal. . linkedin.com. /in/. donmcgreal. Agenda. Types of Metrics. Problems with Metrics. Metrics in Software Development. Evidence-Based Management. 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. Survey . Results. With help from Marty . Klubeck. at Notre Dame and Brenda . Osuna. at USC. Who are we?. Brown. Carnegie Mellon. Columbia . Cornell . CU. -Boulder . Duke . University . Georgetown . EECT 7327 . Fall 2014. DAC Architecture. DAC Architecture. – . 2. –. Data Converters DAC Professor Y. Chiu. EECT 7327 . Fall 2014. Nyquist DAC architectures. Binary-weighted DAC. Unit-element (thermometer-coded) DAC. ?. Metrics . are . units of . measurement . that . are used to characterize. :. software engineering . products. , e.g., designs, source code, and test cases,. software engineering . processes. , e.g., the activities of analysis, designing, and coding, and. Stewardship Index for Specialty Crops. Barbara Meister, SureHarvest. USDA Agricultural Outlook Forum . February 24-25, 2011. Presentation Overview. www.stewardshipindex.org. About the Stewardship Index for Specialty Crops. Model . Metrics . and Reporting Sub-team. 1 August 2014. Why a metrics program?. Goals of a metrics program. Types of metrics. Further analytics on metrics. Metrics program design. Metrics program implementation. 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 1. SPI Bus vs. Traditional Parallel Bus Connection to Microcontroller. 2. SPI Architecture. 3. SPI Clock Polarity and phase. 4. SPI Clock Polarity and phase. 5. Clock. Polarity. Clock. Phase. Data read and change time .