Monday May 11 Morning Keynote: 9:15am – 10:15am
"Green Computing: Reducing Energy cost and Carbon Footprint of Information Processing Systems"
Professor Massoud Pedram, University of Southern California, USA
Digital information management is the key enabler for unprecedented rise in productivity
and efficiency gains experienced by the world economies during the 21st century. Information processing systems
have thus become essential to the functioning of business, service, academic, and governmental institutions.
As institutions increase their offerings of digital information services, the demand for computation and storage
capability also increases. Examples include online banking, e-filing of taxes, music and video downloads, online
shipment tracking, real-time inventory/supply-chain management, electronic medical recording, insurance database
management, surveillance and disaster recovery. It is estimated that, in some industries, the number of records
that must be retained is growing at a CAGR of 50 percent or greater. This exponential increase in the digital
intensity of human existence is driven by many factors, including ease of use and availability of a rich set
of information technology (IT) devices and services. Indeed, it would be difficult to imagine how significant
societal transformations that better our world could occur without the productivity and innovation enabled by
the IT. Unfortunately, the energy cost and carbon footprint of the IT devices and services has become exorbitant.
Moreover, current technological and digital service utilization trends result in a doubling of the energy cost of
the IT infrastructure and its carbon footprint in less than five years. In an energy-constrained world, this
consumption trend is unsustainable and comes at increasingly unacceptable societal and environmental costs.
In my talk, I will first describe what is meant by green computing and how precisely it can be quantified.
Next, I will review energy-efficient computing components based on multi-core processing technology, dynamic
voltage and frequency scaling, and power and clock gating. Finally, I will describe techniques for improving
performance per Watt of large-scale computing systems (e.g., a data center), including multi-scale dynamic power
control, task placement and scheduling, resource virtualization, and application optimizations that explore the
ability of key computational kernels to dynamically configure hardware for higher efficiency.
Massoud Pedram received a B.S. degree in EE from Caltech in 1986 and a Ph.D. degree in
EECS from UC-Berkeley in 1991. He joined the department of Electrical Engineering at the University of Southern
California in 1991 where he is currently a full professor. From 1987 to 1989, he worked at the Xerox Palo Alto
Research Center. Dr. Pedram has served on the technical program committee of many technical conferences, including the
Design Automation Conference, and the Design and Test in Europe Conference. He co-founded and served as the Technical Chair
and General Chair of the Int'l Symposium on Low Power Electronics and Design in 1996 and 1997, respectively. He has published
four books and more than 350 technical papers. His research has received a number of awards including two ICCD Best Papers, two
DAC Best Papers, an IEEE T-VLSI Best Paper, and an IEEE T-CAS-II Best Paper. He is a recipient of the NSF's Young Investigator
Award (1994) and the Presidential Faculty Fellows Award (1996). Dr. Pedram, who is a Fellow of the IEEE, currently serves as
the Editor-in-Chief of the ACM Transactions on Design Automation of Electronic Systems. His current work focuses on low power
electronics and energy-efficient information processing systems.