PPT-STINGER: High Performance Data Structure for Streaming Grap

Author : karlyn-bohler | Published Date : 2017-05-16

David Ediger Rob McColl Jason Riedy David A Bader Main Contributions High performance scalable and portable graph data structure for streaming graphs Several

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "STINGER: High Performance Data Structure..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

STINGER: High Performance Data Structure for Streaming Grap: Transcript


David Ediger Rob McColl Jason Riedy David A Bader Main Contributions High performance scalable and portable graph data structure for streaming graphs Several approaches to manufacture . “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. Linpack. benchmark. ?. –  (We will never get anywhere without one.). Clusters, Clouds, and Data for. Scientific . Computing. CCDSC 2014. September 3 2014. Geoffrey . Fox . gcf@indiana.edu. . Weight:On/Off: Item Stinger with 230V AC/DC 080926-75214-6 Stinger with 120V AC/DC 080926-75014-2 Stinger with 230V AC 080926-75201-6 Stinger with 120V AC 080926-75001-2 Stinger with 120V AC/DC 0809 multi-room audio hi- streaming high-performance home theater More music. More variety. multimedia gaming High-end active loudspeaker Excite X14A Excite X14A – smart, compact, active. Excellen 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. 14 FEBRUARY 2017. . PRESENTATION OUTLINE . Background. Stakeholder . Engagement. Entities largely affected by GRAP 103 . DAC Support to Entities. Request for Exemption. GRAP 103 Impact on the sector. Workshops . on Dynamic . Data Driven Applications Systems(DDDAS) In conjunction . with: 22nd . International Conference on . High. . Performance . Computing (. HiPC. ), Bengaluru. , India . 12/16/2015. By. Nirvan Sagar – 14563364. Srishti. . Ganjoo. – 53526280. Syed . Shahbaaz. . Safir. - 64882986. Introduction. Increasing consumer demand for streaming of high definition (HD) content has led to the need for resilient, fault tolerant, and high bandwidth connectivity.. Data in the Cloud. AFOSR FA9550-13-1-0225: Cloud-Based Perception and Control of Sensor Nets and Robot Swarms . 01/27/2016. 1. Geoffrey Fox, David . Crandall,. Supun. . Kamburugamuve. , . Jangwon. Lee, . Why do you need to gather information on your badminton performance?. Identify your performance strengths . and . weaknesses. . Prioritise . a weakness and form a Specific Training Programme. . Select . NSF 1443054: CIF21 DIBBs: Middleware and High Performance Analytics Libraries for Scalable Data Science. Big Data . Use Cases February 2017. 1. Application Nexus of HPC, Big Data, Simulation Convergence. Twister2 for BDEC2 https://twister2.gitbook.io/twister2/ Poznan, Poland Geoffrey Fox, May 15 , 2019 gcf@indiana.edu , http://www.dsc.soic.indiana.edu/ , http://spidal.org / 1 5/10/2019 Digital Science Center port . P. erformance. . The Theory of Sport Training. Basic Principles. The kinds of sports. Racing. , . competitive . sport. (children, youth, adults, recreational, second level performance sport, top sport…). and. Implications on Data Consumption. Speaker. : . Sandip. Chakraborty. Indian Institute of Technology Kharagpur, India. Co-authors:. Abhijit . Mondal. (IIT Kharagpur) . . Satadal. .

Download Document

Here is the link to download the presentation.
"STINGER: High Performance Data Structure for Streaming Grap"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.

Related Documents