SC12 Home > SC12 Schedule > SC12 Presentation - High Performance Computing Programing Techniques For Big Data Hadoop

SCHEDULE: NOV 10-16, 2012

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ENTIRE WEEK SATURDAY SUNDAY MONDAY TUESDAY WEDNESDAY THURSDAY FRIDAY

High Performance Computing Programing Techniques For Big Data Hadoop

SESSION: High Performance Computing Programing Techniques For Big Data Hadoop

EVENT TYPE: Birds of a Feather

TIME: 5:30PM - 7:00PM

SESSION LEADER(S):Gilad Shainer, Eyal Gutkind, Dhabaleswar K. Panda

ROOM:251-F

ABSTRACT:
Hadoop MapReduce and High Performance Computing share many characteristics such as, large data volumes, variety of data types, distributed system architecture, required linear performance growth with scalable deployment and high CPU utilization. RDMA capable programing models enable efficient data transfers between computation nodes. In this session we will discuss a collaborative work done among several industry and academic partners on porting Hadoop MapReduce framework to RDMA, the challenges, the techniques used, the benchmarking and testing.

Session Leader Details:

Gilad Shainer (Primary Session Leader) - HPC Advisory Council

Eyal Gutkind (Secondary Session Leader) - Mellanox Technologies

Dhabaleswar K. Panda (Secondary Session Leader) - Ohio State University

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