Convergences of the Extremes: Computational Science meets

Networked Sensors

David Culler, Moderator

SC2000 Panel

November 10, 2000

11/10/2000 SC2000 Extremes 2

A New Frontier for SCxy

• “SC is not just about supercomputing, its where the latest wave of technology gets applied to real problems” – Louis Turcotte, gen. chair SC2000

• SC has been “riding the CMOS wave”• 88-92: Rise of the “killer micro”• 93-99: Emergence of the “killer network”

– single chip CMOS networks of the CM-5 and Paragon now the heart of clusters, gigabit ethernet, ...

• along with other emerging technologies– visualization, haptics, ...

• Panel Goal: open your eyes to a new frontier

11/10/2000 SC2000 Extremes 3

Where is CMOS going?

• Not just Moore’s law• Micro Electical Mechanical Systems

(MEMS)– rich array of sensors are becoming cheap and

tiny

• Imagine, all sorts of chips that are connected to the physical world and to cyberspace!

LNA

mixerPLL baseband

filters

I Q • Low-power Wireless Communication

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We are seeing the first signs

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Commonality at the Extremes

• Pushing performance of available resources to solve problems

• Pushing the technological edge

• Complex applications

• Packaging, Power Management

• Long running

• Communication Critical

• Simplicity

• Highly Parallel Programming / Operation

• Faults, Failures, Availability

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Tapping Experience of SC Community

• Extensive instrumentation and measurement

• Extensive sensor development and use

• Wide-scale distributed computing

• Vast, embedded data sets

• Serious parallel Programming

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Some of the Opportunities

• Integrating measurement with real-time modeling

• Complete scientific data processing and analysis

• Distributed, integrated sensor networks

• Computational modeling applied to the technology itself

• Sensor technology applied to high performance systems management

• ...

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The Panel

• Deborah Estrin, University of California, Los Angeles, ISI – network perspective

• Wahid Hermina, Sandia National Laboratories – MEMS technology perspective

• Larry Arnstein, University of Washington – Deeply Instrumented Laboratory

• James Demmel, University of California, Berkeley, - Computational Modeling

• 10-15 minute presentations followed by discussion