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Shaping the Future of Scientists (Miami)


for Members

Shaping the Future of Scientists (Miami)

Friday, February 16, 2007

University of Miami-RSMAS

Presented By

Presented by Frontiers of Science Program, Science Alliance, and the University of Miami


The morning will focus on how computers intersect with scientific research. We will highlight computer modeling of hurricanes, protein folding, database design, and more.

The afternoon will explore career options for PhD scientists geared towards graduate students and postdocs.

Morning Session


Leading Edge of Computation in the Sciences:

Ralph K. Cavin, III, Semiconductor Research Corporation: "Projections for 2020 Information Processing Technologies"

Tamar Schlick, Courant Institute of Mathematical Sciences, NYU: "Molecular Simulations"

Harold Scheraga, Cornell University: "The Protein Folding Problem"

John Jeremy Rice, IBM: "Systems Biology"

Srinivas Ravela, MIT: "Computational Earth Science"


Afternoon Session


Academic Careers:

  • K-12: Dr. Julie Hood, MAST Academy.
  • Small College: Dr. Laura Mudd, Barry University.
  • Large University: Dr. John Bixby, University of Miami.


Industry and Government Careers:

  • Scientist at the Bench: John Jeremy Rice, PhDIBM
  • Scientist in Management:Rob Johnson, PhD, NABI
  • Scientist in Government Research:Kelly Goodwin, PhD, NOAA
  • Clinical trials Management: Melody I. Sanger, BSN, RN, MD, CCRC, CCRP, Director of Clinical Research, Drug Study Institute.


Non-traditional Careers:

  • Policy: Audra Livergood, National Oceanic & Atmospheric Administration.
  • Tech transfer: Dr. Junko Kazumi, Licensing Manager, University of Miami.
  • Patent law: James A. Gale, Esq. Feldman Gale P.A.





Projections for 2020 Information Processing Technologies
Ralph K. Cavin, III

Semiconductor Research Corporation

In this presentation, the industry projections for integrated circuit technologies circa 2020 are described and some of the challenges to achieving these projections are outlined. In this time frame, it appears that the scaling of silicon CMOS technology will be approaching limits defined by fundamental physics. In view of this the industry, in cooperation with state and federal governments, has launched a search in universities for alternative information processing technologies that can continue exponential performance-per-unit-cost gains for several more decades; either as supplements to or replacements for silicon technology. Much of the basic research required to address these challenges is being implemented in universities under the aegis of the Semiconductor Research Corporation, which features close cooperation between academia, industry, and government.

In view of continuing increases in the density of components on a single chip and the resulting heat management challenges, we are in the early phases of a transition from a single processor to many processors on a single chip. While the question of the appropriate programming model for effective utilization of homogeneous many-processor