PPT-HTCondor

Author : pamella-moone | Published Date : 2017-08-31

at Syracuse University Building a Resource Utilization Strategy Eric Sedore Associate CIO HTCondor Week 2017 Good to advance research best to transform research

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HTCondor: Transcript

at Syracuse University Building a Resource Utilization Strategy Eric Sedore Associate CIO HTCondor Week 2017 Good to advance research best to transform research though transformation is not always related to scale. High Throughput Computing . System. Sean Blackbourn. Teresia. . Djunaedi. Outline. What is Condor. ?. Fault Tolerance (MW & . DAGMan. ). Resource Discovery (Matchmaking). Job . Deployment (Universe). Dynamic Load Balancing in ATLAS & Other News. William . Strecker. -Kellogg <willsk@bnl.gov>. RHIC/ATLAS Computing Facility Overview. Main HTCondor Pools. STAR, PHENIX, ATLAS. Each just over 15kCPU. HTCondor. Pool. Basic Concepts. You have an . HTCondor. pool. Personal . HTCondor. (1 node). 1000 node cluster. Who can use your pool?. Basic Concepts. “Who can use it” is really two concepts:. What’s coming?. HTCondor Week 2013. Todd Tannenbaum. Center for High Throughput Computing. Department of Computer Sciences. University of Wisconsin-Madison. 2. Release Situation. Development Series. Beyond: Research Computer at Syracuse University. Eric Sedore. ACIO – Information Technology and Services. HTCondor . @ Syracuse (OrangeGrid). Scavenging . compute . time from . ~3000 . desktops on . 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. Glidein. A generic approach for the late-binding of jobs to various resource types. High-Throughput . Computing. Focuses on . the throughput over time of many . jobs. Rather than performance . of an . Eric Sedore. Associate CIO. HTCondor. Week 2017. Good to advance research, best to transform research (though transformation is not always related to scale). Entrepreneurial approach to collaboration and ideas. Andrew Schoen. Center for Healthy Minds at the Waisman Center. University of Wisconsin - Madison. What do we do, . What this looks like:. Waisman. Center. Center for Healthy Minds / MIDUS Study. Wide variety of assessments. HTCondor Migration. 2. Ben Jones. Batch Service at CERN. CERN Batch system to process CPU intensive workload ensuring . fairshare. among various user groups. Maximize utilization, throughput, efficiency. Previous Tier2 @ECDF. (pre-2019). ARC5 running atop SGE. 4 additional . cron. jobs across 3 servers to provide better integration/support. 4 very large patches (>300 lines of code) against ARC5:. Satellite Image Time Series . with Ancillary Data. Matthew Garcia. Ph.D. Candidate, Forest Science. University of Wisconsin–Madison. Advised by Prof. Philip Townsend. HTCondor. Week 2017. Madison, Wisconsin. Jaime . Frey (jfrey@cs.wisc.edu). Center for High Throughput Computing. Department of Computer Sciences. University of Wisconsin-Madison. HTCondor. -. G(rid. ). HTCondor. . for the grid. Same job management capabilities as a local. Ravi Madduri. madduri@anl.gov. Joint work with Paul . Davé. , Lukasz . Lacinski. , Alex Rodriguez, . Dinanath. . Sulakhe. , Ryan Chard and Ian Foster. Globus Genomics is developed, operated, and supported by researchers, developers, and .

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