Online Simulation

And More

Top 25 Tags (all tags)

  1. algorithms
  2. aqme
  3. carbon nanotubes
  4. course lecture
  5. cyberinfrastructure
  6. devices
  7. education/outreach
  8. experiments
  9. material science
  10. molecular electronics
  11. nano/bio
  12. nanobio applications
  13. nano electro-mechanical systems
  14. nanoelectronics
  15. nanomedicine
  16. nanophotonics
  17. nano-transistors
  18. nanowires
  19. NEGF
  20. quantum dots
  21. quantum transport
  22. research seminar
  23. transistors
  24. tutorial
  25. uIllinois

Other

Trouble Report

For immediate assistance browse through our support center. You can find answers to many questions in just a few minutes.

If still experiencing problems, send us a report.

Sending report ...

Excellence in Computer Simulation

Challenges and Strategies for High End Computing

This resource has a 8.1 Ranking

Ranking is calculated from a formula comprised of user reviews and usage statistics. Learn more ›

Usage Stats
Last 12 Months: updated 01 Nov, 2008
Users: 235
Reviews & Citations
Google/IEEE
Avg. Review: 0.0 out of 5 stars
Citations: 0

235 users

0 reviews (Review this)

0 citations

View Presentation

Supporting Documents

Contributor(s) Katherine A. Yelick
University of California, Berkeley
Abstract This presentation was one of 13 presentations in the one-day forum, "Excellence in Computer Simulation," which brought together a broad set of experts to reflect on the future of computational science and engineering.
Biography Kathrine A. Yelick Katherine Yelick is a Professor in the EECS Department at the University of California at Berkeley and head of the Future Technologies Group at Lawrence Berkeley National Laboratory. Her research in high performance computing addresses parallel programming languages, compiler analyses for explicitly parallel code, and optimization techniques for communication systems and memory systems. Much of her work has addressed the problems of programming irregular applications on parallel machines. Her projects include the Split-C, Titanium, and UPC parallel languages, the IRAM and ISTORE systems, and the Sparsity code generation system. She currently leads the Future Technologies group at LBNL and co-leads the Titanium and Bebop (Berkeley Benchmarking and Optimization) teams at the University of California, Berkeley. She is the director of the Berkeley Institute for Performance Studies, a collaborative project between UC Berkeley and LBNL.

She received her Bachelor's, Master's, and Ph.D. degrees from the Massachusetts Institute of Technology, where she worked on parallel programming methods and automatic theorem proving. She won the Geroge M. Sprowls Award for an outstanding Ph.D. dissertation at MIT and has received teaching awards from the EECS Departments at both MIT and Berkeley.
Sponsored by The Network for Computational Nanotechnology (NCN)
The Center of Integrated Nanomechanical Systems (COINS)
The Molecular Foundry at Lawrence Berkeley National Lab
Cite this work

If you reference this work in a publication, please cite as follows:

  • Yelick, Katherine A. (2007), "Challenges and Strategies for High End Computing," http://www.nanohub.org/resources/3706/.

    BibTex | EndNote

Date posted 20 Dec, 2007
Time 02:00 PM, November 06, 2007
Location Bancroft Hotel, University of California at Berkeley, Berkeley, CA
Type Online Presentations
Tags

Citations

The following are publications that have cited this resource, separated by their affiliation to the NCN.

No citations found.

Reviews

The following are reviews of this resource from other site members.

Write a review

No reviews found. Be the first to review this resource!

See also

The following are resources that may cover similar or related topics.

  • 10.0 Ranking Workshops Part of: Excellence in Computer Simulation

    Excellence in Computer Simulation

    Type Workshops
    Contributor(s) Mark Lundstrom, Jeffrey B. Neaton, Jeffrey C Grossman
    Date 19 Dec, 2007
    Avg. Rating 0.0 out of 5 stars  (0)
    Rate this

    Computational science is frequently labeled as a third branch of science - equal in standing with theory and experiment, and computational engineering is now an essential component of technology development and manufacturing. The successes of computational science and engineering (CSE) over the …

People who looked at this also looked at:

Network Recommendations powered by CIKNOW developed by the Science of Networks in Communities Research (SONIC) group at Northwestern University.

Recommendations will load momentarily. If you do not see content change after 30 seconds, there may be a number of reasons:

  • You have javascript turned off in your browser.
  • You have browser incapable of handling the scripts that load the recommendations.
  • There is a problem with the recommendation service and it failed to respond.