sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 15-20, 2015

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Improving Throughput by Dynamically Adapting Concurrency of Data Transfer

SESSION: Regular & ACM Student Research Competition Poster Reception

EVENT TYPE: Posters, Receptions, ACM Student Research Competition

EVENT TAG(S): HPC Beginner Friendly, Regular Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold

AUTHOR(S):Prasanna Balaprakash, Vitali Morozov, Rajkumar Kettimuthu

ROOM:Level 4 - Lobby


Improving the throughput of data transfer over high-speed long-distance networks has become increasingly difficult and complex. Numerous factors such as varying congestion scenarios, external factors which are hard to characterize analytically, dynamics of the underlying transfer protocol, contribute to this difficulty. In this study, we consider optimizing memory to memory transfer via TCP, where the data is transferred from a source memory to a destination memory using TCP.
Inspired by the simplicity and the effectiveness of additive increase and multiplicative decrease scheme of TCP variants, we propose a tuning algorithm that can dynamically adapt the number of parallel TCP streams to improve the aggregate throughput of data transfers. We illustrate the effectiveness of the proposed algorithm on a controlled environment. Preliminary results show significant throughput improvement under congestion.

Chair/Author Details:

Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|

Prasanna Balaprakash - Argonne National Laboratory

Vitali Morozov - Argonne National Laboratory

Rajkumar Kettimuthu - Argonne National Laboratory

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