sponsored byIEEEACMThe International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 16-21, 2014

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The MDTM Project

SESSION: Poster Reception


TIME: 5:15PM - 7:00PM

AUTHOR(S):Liang Zhang, Tan Li, Yufei Ren, Phil DeMar, Shudong Jin, Dantong Yu, Wenji Wu

ROOM:New Orleans Theater Lobby


Multicore and manycore have become the norm for high-performance computing. These new architectures provide advanced features that can be exploited to design and implement a new generation of high-performance data movement tools. DOE ASCR program is funding FNAL and BNL to collaboratively work on a Multicore-Aware Data Transfer Middleware (MDTM) project. MDTM aims to accelerate data movement toolkits on multicore systems. Essentially, MDTM consists of two major components: MDTM middleware services to harness multicore parallelism and make intelligent decision to align CPU, memory, and I/O device together to expedite higher layer applications, and 2) MDTM data transfer applications (client or server) that utilize the middleware to reserve and manage multiple CPU cores, memory, network devices, disk storage as an integrated resource entity and achieve high throughput and improved quality of servers compared with those existing approaches.

Chair/Author Details:

Liang Zhang - Fermi National Accelerator Laboratory

Tan Li - Stony Brook University

Yufei Ren - Stony Brook University

Phil DeMar - Fermi National Accelerator Laboratory

Shudong Jin - Stony Brook University

Dantong Yu - Brookhaven National Laboratory

Wenji Wu - Fermi National Accelerator Laboratory

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