PPT-High Throughput Computing Collaboration

A CERN openlab Intel collaboration Niko Neufeld CERNPHDepartment nikoneufeldcernch HTCC in a nutshell Apply upcoming Intel technologies in an Online Trigger amp DAQ context Application domains L1trigger data acquisition and eventbuilding acceleratorassisted processing for highlevel trigger. “Computing . is changing more rapidly than ever before, and scientists have the unprecedented opportunity to change computing . directions” . “In . 20 or 30 years, you'll be able to hold in your hand as much computing knowledge as exists now in the whole city, or even the whole world. High-speed Networks. Esma. . Yildirim. Data Intensive Distributed Computing Laboratory. University at Buffalo (SUNY). Condor Week 2011 . Motivation. Data grows larger hence the need for speed to transfer it. Based on the books: . Building Lean Supply Chains with the Theory . of . Constraints . M. anaging . Business Process Flow . Throughput Profit Multiplier (TPM). A large fraction of the operating costs are fixed . Daric Megersa . SYS 461. Key Terms . Maximum Throughput Capacity (MTC). Runway Occupancy time (ROT). Simultaneous Runway Occupancy(SRO). Inter_Arrival separation. Compression and Expansion cases . Runway Throughput . Minlan Yu. University of Southern California. 1. Joint work with . Wenjie. Jiang, . Haoyuan. Li, and Ion . Stoica. Throughput-Oriented Traffic. 2. Throughput-oriented traffic is growing in Internet. | 1 | 2 High Throughput Screening High Throughput Screening (HTS) is a method that uses automation and large dataset processing to quickly assay the biological or biochemical activity of large numb Yao . Song. 11/05/2015. The rate of data to be processed for pattern matching increases rapidly.. network intrusion detection systems. Email monitoring systems. The content of data stream to be matched becomes very complex.. 2b. Effective Capacity . &. Throughput Leverages. Based on the book: Managing Business Process Flows.. The . theoretical unit loads for an aggregate policy . (combination . of all policies) . in a . Luke Winslow. OWI a-la-carte. Overview. What is Parallel Computing. Example Uses. Intro to Condor. Demo. Parallel Computing. Cluster. Why would I need this?. Dealing with Large Datasets. Lake Shape Characteristics. GRID COMPUTING. Today's science is much based on computation, data analysis, and collaboration as on the efforts of individual experimentalists and theorists.. Grid computing. is the application of several computers to a single problem at the same time. . I/O Service in . Commodity Systems. Mark . Stanovich. 1. Outline. Motivation and Problem. Approach. Research Directions. Multiple worst-case service times. Preemption coalescing. Conclusion. 2. Overview. CHEP2015. April 13. th. -17. th. , 2015. Okinawa Institute of Science and Technology Graduate University. Onna. , Okinawa, Japan. 21st International Conference on Computing in High Energy and Nuclear Physics, . Frontend. Dan Bradley. Center for High Throughput Computing. Condor Flocking. CHTC. Condor. Pool. CS. Nuclear Eng.. Genomics. CMS Tier 2. Atlas Tier 3. Chemical Engineering. IceCube. Medical. Physics. Based on the books: . Building Lean Supply Chains with the Theory . of . Constraints . M. anaging . Business Process Flow . Throughput Profit Multiplier (TPM). A large fraction of the operating costs are fixed .