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High Performance Computing Boot Camp

Thank you for your interest in the High-Performance Computing Boot Camp but the camp has reached capacity. Registration is now closed.

This boot camp is a cooperative venture between Mid-Atlantic Crossroads (MAX) and the University of Maryland’s Office of Information Technology and is open to participants from all academic institutions and federal agencies in our region.

Date: August 8 - 12, 2011

Location: University of Maryland, College Park
Building: Computer and Space Sciences (CSS) Building, Room 1410
Time: 9:00am - 4:00pm
Cost: $50 for attendees. See registration link below.
Instructor: Dr. Alan Sussman, University of Maryland Computer Science Department
Payment: Please contact Maddie Parra for any payment details (mparra@umd.edu)
Please make checks payable to the University of Maryland.
Checks, vouchers, or JVs should be sent to:

Maddie Parra
1313 Computer and Space Sciences Building
College Park, Maryland 20742

*Attendance is limited to 30 participants. The boot camp has reached capacity and registration is now closed.

Who Should Attend?

Targeted at graduate students, research staff, and faculty members with computational science and engineering problems that demand high performance, this course will introduce participants to the basics of high-performance parallel computing. The boot camp will be taught by Dr. Alan Sussman. When successfully completed, the attendee will know how to:

  • Optimize sequential applications
  • Understand the basics of parallel computing
  • Write basic MPI and OpenMP applications

Attendees will use queuing systems such as PBS and existing high-end resources at the University of Maryland during the course.

A “Dear Colleague” letter sent by the National Science Foundation (NSF) noted the revolutionary role of cyberinfrastructure in science and engineering:

“Today, every discipline of science and engineering is being revolutionized by the widespread use of comprehensive cyberinfrastructure (CI). Computing power, data volumes, and network capacities are all on exponential growth paths, collaborations are growing dramatically, and all forms of CI – and multiple communities spanning multiple agencies and international domains – often must be brought to bear to address a single complex grand challenge problem, such as climate change. All of these developments are part of a revolutionary new approach to scientific discovery in which advanced computational facilities (e.g., data systems, computing hardware, high-speed networks) and instruments (e.g., telescopes, sensor networks, sequencers) are coupled to the development of quantifiable models, algorithms, software, and other tools and services to provide unique insights into complex problems in science and engineering.”

http://www.nsf.gov/pubs/2010/nsf10015/nsf10015.jsp?org=OCI

Topic revision: r15 - 2011-06-22 - TiombeHurd
 
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