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DTSTART;TZID=Europe/Stockholm:20210706T173000
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UID:submissions.pasc-conference.org_PASC21_sess182_post132@linklings.com
SUMMARY:P17 - Middleware for Memory and Data-Awareness in Workflows (Maest
 ro)
DESCRIPTION:Poster\n\nP17 - Middleware for Memory and Data-Awareness in Wo
 rkflows (Maestro)\n\nTessier, Haus, Pleiter, Arenaz\n\nHigh Performance Co
 mputing (HPC) and High Performance Data Analytics (HPDA) opens up the oppo
 rtunity to solve a wide variety of questions and challenges. The number an
 d complexity of challenges that HPC and HPDA can help with are limited by 
 the performance of computer software and hardware. Increasingly, performan
 ce is now limited by how fast data can be moved within the memory and stor
 age of the hardware. So far, little work has been done to improve data mov
 ement. Maestro will develop a new framework to improve the performance of 
 data movement in HPC and HPDA, helping to improve the performance of softw
 are, and therefore the energy consumption and CPU hours used by software; 
 and to encourage the uptake of HPC by new communities by lowering the memo
 ry performance barrier. Maestro will consider two key components: <br />- 
 Data movement awareness: Maestro will develop a better understanding of th
 e performance barriers of data movement.<br />- Memory awareness: To impro
 ve software performance it is now important that software has an 'awarenes
 s' of memory and how to optimise data movement. <br />Maestro has the pote
 ntial to influence a broad range of human discovery and knowledge, as ever
 y computational application relies on data movement.
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