ORNL, Bldg. 5100, RM 130
Host: Philip C. Roth (rothpc@ornl.gov)
ABSTRACT:
As the types of problems we solve in high-performance computing and other
areas become more complex, the amount of data generated and used is growing
at a rapid rate. Today many terabytes of data are common;
tomorrow petabytes of data will be the norm. One of the challenges in
high-performance computing is to provide applications with high-speed data
access in a distributed, heterogeneous environment. In this talk,
we will review the existing I/O paradigms in high-performance computing
environments and examine better alternatives across both local and wide-area
networks. We propose three different techniques to accommodate
the I/O requirements of scientific applications. We present a new design
for a high-performance, scalable parallel file system that obviates the need
for dedicated I/O and metadata servers by utilizing object-based storage
devices. We also propose a new remote I/O paradigm that takes advantage of
the increasing popularity of high-speed networks and centralized data
repositories to perform I/O over wide-area networks. Furthermore, we present
a scalable I/O forwarding framework that bridges the increasing performance
gap between the processing power and the I/O subsystems of massively
parallel leadership-class machines such as the IBM Blue Gene/P.
BIO:
Nawab Ali is a PhD candidate with the Department of Computer Science and
Engineering at The Ohio State University. His research interests span the
broad areas of computer architecture, operating systems, and
high-performance computing. His current research focuses on issues related
to I/O in high-performance computing environments.
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