SCHEDULE: NOV 10-16, 2012
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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
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