The U-M’s Institute for Computational Science & Engineering (ICSE) is a new initiative led by the College of Engineering (CoE) at the University of Michigan.
So many exciting resources in one place!
The Sustainable Research Computing Centers (SRCC) group held a workshop on May 3-5, 2010, and materials from their event are available on their event wiki:
https://mw1.osc.edu/srcc/index.php/Main_Page
Materials include presentations, breakout reports, position papers, and websites.
UPDATE: Spaces available in “Proven Algorithmic Techniques for Many-core Processors”
OPEN FOR REGISTRATION
Want to learn how to use graphics processors for scientific computing? Scale your parallel code to tens of thousands of CPU cores? Deal with ginormous datasets? The Virtual School of Computational Science and Engineering offers these courses and more during its summer program for 2010!
Since 2008, nearly 250 students and researchers have participated in the annual Summer School offered by the Virtual School. During Summer School, students learn new techniques for applying high-performance computing systems to their work. Due to overwhelming demand for courses in previous Summer Schools, we have added 15 sites (for a total of 21 sites) to the 2010 program in order to accommodate additional students. For each course, students attend on-site in one of 10 state-of-the-art, distributed high-definition (HD) classrooms, located at academic and research institutions across the country. These HD classrooms are equipped with live, high-definition videoconferencing technology that provides a high-quality learning experience.
Students attend technical sessions presented by leading researchers in computational science and engineering and use cutting edge, high-performance computing systems provided by TeraGrid resource providers. Course participants apply the techniques learned in hands-on lab sessions, assisted by skilled teaching assistants who work one-on-one and in small groups to answer questions and solve problems posed during the sessions. This summer’s courses are:
The cost for each course is only $100. To participate, prospective students must first be enrolled in the Virtual School. Enrollment is free and can be completed at https://hub.vscse.org/. After enrolling, students select their courses and indicate which of the distributed HD classrooms they would like to attend.
Snacks and an evening reception will be provided; participants are responsible for travel and lodging costs (low-cost dorm accommodations will be provided where possible). Because of the large geographic diversity of participating sites, it is likely that little travel will be required.
For no additional cost, on-site participants can take online short courses on MPI, OpenMP, and CUDA that are designed to help them meet course prerequisites.
For more information on the 2010 courses, including the sites participating in each course and details on enrollment, go to: www.vscse.org/summerschool/2010
August 7, 2010 to August 14, 2010
Snowbird, Highway 210 Little Cottonwood Canyon, Snowbird, Utah
Continued exponential growth in the quantity of human knowledge, as measured by experimental data captured, simulation results generated, and scientific articles published, makes it increasingly difficult—indeed, one may argue impossible—for any individual to obtain a clear picture of exactly what is known, and with what degree of certainty, in even the narrowest subfields. This knowledge deluge can become a significant barrier to scientific progress, as researchers fail to infer connections, detect inconsistencies, and identify opportunities that may be apparent in what is already known—if only they could get a complete picture of current knowledge.
As in other fields of scholarship, massive computational and human parallelism may represent solutions to this growing problem. No single human can synthesize data from 100 million scientific articles and 1,000 data sources, but it may be feasible for a sufficiently powerful computer to do so, if we can only define algorithms that “integrate”, “represent”, and “reason” in some useful manner. Harnessing the collective intellectual power of 100 million people may also be useful. In both cases, we need to look carefully at what it would mean to “integrate” and “reason” over an entire scientific literature. What questions would we want to be able to ask? How would we determine whether the answers that we obtain are useful? What algorithmic, organizational, and other obstacles stand in the way of progress? How would we define a research and development agenda to overcome these obstacles?
More information and registration at http://www.icis.anl.gov/programs/summer-4
With NSF funding from both the TeraGrid project and the PetaScale Computing Facility project, we can now announce:
Summer is approaching, and the National Computational Science Institute (NCSI) is offering a selection of week-long hands-on workshops for undergraduate faculty from among all fields of study. The workshops are directed at improving understanding of computational thinking, modeling and visualization tools and resources, and applying computational methods to advance education and research. The objective is to work with faculty to incorporate computational science and engineering tools, resources and methods into undergraduate classrooms across the nation to prepare undergraduate students for careers in science, technology, engineering and mathematics.
Information and registration for this Summer’s workshops can be found by following the “Summer 2010 Workshops” link on the NCSI website – www.computationalscience.org/workshops .
Workshop registration policies can be found at – www.computationalscience.org/about/policy NOTE: No travel funds are available, but limited funds are available for support for local housing and meals. Please be sure to indicate your housing need on the workshop reservation form. The summer workshop offerings include:
Computational Biology for Biology Educators – July 18-24 – North Carolina Agricultural and Technical State University, Greensboro, NC
Introduction to Computational Thinking
Parallel and Cluster Computing
Additional workshops are being presented for pre-selected audiences, and therefore are not currently open for registration; if you are interested in these topics, please contact Bob Panoff at rpanoff@shodor.org and we can plan for future workshops.