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Four EECS faculty teams have been selected to receive 2009
HP Labs Innovation Research
Program (IRP) awards. HP's Innovation Research Program is designed to
create opportunities for colleges, universities, and research institutes
around the world to conduct breakthrough collaborative research with HP.
The investigators from Michigan are:
Prof. Mark Kushner
Project Title: "Modeling of
Micro-Dielectric Barrier Discharges"
HP Labs Theme: Digital Commercial
Print
Prof.
Stéphane
Lafortune and Prof.
Scott Mahlke
Project Title: "Gadara: Dynamic
Deadlock Avoidance in Concurrent Software via
Discrete Control"
HP Labs Theme: Intelligent
Infrastructure
Prof.
Trevor Mudge and
Prof. Thomas Wenisch
Project Title: "Disaggregated
Memory for Energy-Efficient Data Centers"
HP Labs Theme: Intelligent
Infrastructure
Prof. Kang G. Shin
Project Title: "Flexible Resource
Management in Highly Available Virtual Data Centers"
HP Labs Theme: Intelligent Infrastructure
Mark Kushner will be investigating micro-plasmas. These
microscopic sources of ionized gases are critical components in the
development of next-generation electrophotography and commercial print
engine technologies. “Microplasmas,” says Kushner, “hold incredibly
complex plasma physics. Our collaboration with HP Labs will give us an
opportunity to investigate and understand these interesting plasma
physics phenomena and quickly translate that understanding into
society-benefiting technologies. This full spectrum experience (science
> technology > commercialization),” he adds, “will provide my students
with a truly real-world perspective and so accelerate their career
development.”
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Stéphane Lafortune and
Scott Mahlke
are continuing work on a project begun last year with HP called Gadara. The
Gadara project is a multi-disciplinary effort to develop an automated
methodology, implemented in a software tool, that takes as input a
deadlock-prone multithreaded C program and outputs a modified version of the
program that is guaranteed to run deadlock-free, without affecting any of
the functionalities of the program. To achieve this goal, Gadara uses a
novel combination of compiler techniques with discrete event control
techniques.
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Trevor Mudge and
Thomas Wenisch will conduct research into the use of disaggregated memory to enhance the energy efficiency of data centers. Disaggregation refers to the separation of memory from other data center server components and linking together of those components through an interconnect. In modern blade servers, the memory sub-system is one of the most significant contributors to both purchase price and energy consumption. Disaggregation holds the promise of substantially reducing these costs.
Kang Shin will conduct research into techniques for providing resource flexibility and system optimization within virtual data centers through the design and development of systems solutions for memory reservation, enabling the relocation of virtual servers. A long-term objective of this research is
to build a framework of flexible resource management facilities, taking into account all resources in a
virtual data center, to achieve load balancing as well as energy efficiency.
About the Awards
“Our goal with this program is to collaborate with the brightest minds
from around the world to tackle the industry’s most complex problems and
push the frontiers of fundamental science,” said Prith Banerjee, senior vice
president, Research, HP and director, HP Labs. “The University of Michigan
has demonstrated outstanding achievement and a vision that will help inspire
technological innovation and address the most complex challenges and
opportunities facing the industry in the next decade.”
HP reviewed nearly 300 proposals from more than 140 universities in 29
countries on a range of topics within the eight high-impact research themes
at HP Labs – analytics, cloud, content transformation, digital commercial
print, immersive interaction, information management, intelligent
infrastructure and sustainability. More details about the HP Labs Innovation
Research Program and worldwide award recipients are available at
http://www.hpl.hp.com/open_innovation/irp/2009_results.html.
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