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| Combining Parallelism, Virtualization, Heterogeneity and Reliability: Some cu... |
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Google Tech Talks
October 28, 2008
ABSTRACT
This talk will begin with an overview of the
Computer Systems group within the College of
Engineering and IT at The Australian National
University. These fall under the Themes of
Bio-Engineering, Robotics, Advanced Runtime
Systems, Performance Analysis, Parallel
Processing, Operating Systems. Depending on
audience interest, projects under the latter three
themes will be discussed in detail. These include:
OpenMP for Contemporary Clusters: state-of-the-art
for distributed shared memory based systems, the
handling of heterogeneity and utilization of
advanced networking technologies (Infinband).
High Performance Numerical Computing on
Service-Oriented Architectures: this work involves
the extension of the Symphony programming paradigm
(Platform Computing), originally developed for
financial applications running on enterprise
grids. The desirable properties of this model
include inherent load balancing in a heterogeneous
environment, fault tolerance and relative
simplicity of programming. The challenge arises in
enabling compute tasks to effectively communicate
with low overheads, while retaining most of these
advantages.
Virtualized HPC Clusters: Virtualization has many
advantages in the context of a data center with a
heterogeneous cluster of sub-clusters. Work on
evaluating the performance of virtualized
communication configurations is described,
together with a framework for scheduling for
taking advantage of virtual machine migration,
based on the Xen hypervisor.
Simulation and Performance Evaluation Frameworks
for NUMA Clusters: We discuss a standard and
detailed design for multiprocessor computer
simulation. Both can be parallelized and a
multiprocessor host, with the performance being
limited by the inherent imbalance in the work
required to simulate each CPU for a fixed interval
of simulated time. We will also describe why
issues in validation are particularly problematic.
Recent work includes incorporating these
techniques into dynamic binary translation
frameworks (Valgrind) and extending them to
cluster computers.
Multicore Computing: With the recent donation of
an UltraSPARC T2 by Sun Microsystems, we will
discuss current work and future plans to expand
multicore computing into our teaching and research
programs.
Speaker: Dr Peter Strazdins, Australian National
University
Peter is a Senior Lecturer in the Computer Systems
Group of the Department of Computer Science at the
Australian National University. He graduated with
a PhD from the ANU in 1990 in the area of
programmable systolic arrays, and from that time
until 2002 was involved in the ANU-Fujitsu CAP
Program in Parallel Computing. He has worked in
the areas of parallel linear algebra,
multiprocessor computer simulation, performance
evaluation and developing middleware and
virtualization techniques for high performance
computing.
Tags : google techtalks techtalk engedu talk talks googletechtalks education |
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Affichage : 8132
Durée : 3128 s |
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