CISE-CSE
From SC Education
CISE Special Issue on Computational Science
This is the development area for the CISE Special Issue on Computational Science and Engineering with a target publication date of June 2008 (in time for the Teragrid conference).
Pleasae feel free to elaborate and expand where needed. We have an ambitious production schedule.
Contents |
Production Schedule
| Due Date | ||
|---|---|---|
| Call for Papers | November 1, 2007 | |
| End of Call for Papers | January 15, 2008 | |
| Selection of Authors/Articles | February 15, 2008 | |
| Begining of content editing with guest editors and computational science support folk | February 15, 2008 | |
| Final publication materials to CISE for copy editing | April 1, 2008 | |
| Special issue published | June 2008 |
Working copy of Call for Papers (CFP)
CiSE Special Issue on SC/HPC Education
Call for Papers
Computational methods have changed the scale and nature of "researchable" problems, opening new areas of inquiry such as proteomics, predictive climate models, and data mining terabytes of raw astronomical data. Computaional methods allow more accurate modeling of, and better affect on, the real world.
In June 2007, BlueGene/L, was number 1 on the Top 500 list of supercomputers (http:://top500.org). It clocked in at 280 teraflops (10^12 floating point operations per second), with the 500th entry clocking in at 4 teraflops. At the September 2007 Intel Developer Forum, a single 80 core chip computed an FFT (Fast Fourier Transform) at teraflop speeds. In 2008, the HPC community will have access to petaflop (10^15 floating point operations per second) computing systems, while people in research labs are already exploring exaflop (10^18) computing solutions. Science and engineering is again being transformed in hard to imagine ways.
It is not sufficient for the national cyberinfrastructure (CI) to accelerate just from teraflops to petaflops and beyond. It must accelerate from teraflop computing, readily available today on many campuses, to petascale computing, where we integrate petabits/sec networking and petabytes of storage with petaflops of computing. Out of order hardware execution and clever compilers can only help with the easiest of tasks in this pervasive multi-core world. We have the hard challenge of scaling applications to effectively use these evolving, highly parallel and highly distributed systems composed of millions of processors spread across large geographic regions. These systems will generate significantly larger and more complex data management and analysis needs than ever before, creating a demand for new software algorithms and techniques, and the even more pressing need for a new generation of applications software developers.
These components are forming new generations of HPC environments no longer solely focused on solving science problems, e.g. physics, astronomy, biology, and chemistry, but are now also being applied to problems from areas including humanities, arts and social sciences, including environmental and social issues, health care, and economic competitiveness, each with different information management and computational needs. Emerging collaboration technologies and virtual organizations are fostering new and innovative approaches to learning and working in a global society. The demand for a skilled and knowledgeable workforce solving these multi-disciplinary problems using many-core geographically distributed exascale systems requires a transition in education commensurate with the increased scale of this new national computational infrastructure. This workforce will be led by graduate students, post docs, and faculty members applying advanced computing power in addressing the real-world problems facing all of us. Who are these future innovators and leaders? They are today’s K-12 students. As the HPC community, what are we doing to provide them with the cyber-enabled discovery facilitating the computational thinking and experience required to solve these problems?
CiSE (Computing in Science and Engineering, http://cise.aip.org/error/cookies.jsp?url=http://cise.aip.org/) is publishing a special issue in 2008 to highlight the role of education in this challenge.
The special edition will incorporate successful and innovative strategies from high school through graduate school, from all fields of study including traditionally under-represented fields of study, from all institutions including two and four-year colleges and universities. We are interested in the HPC educational problems facing all people, in particular minority-serving institutions, women, and people with disabilities.
The power of the technological computing advances can only be realized with the next generation of scientists, technologists, engineers and mathematicians being well educated and experienced in adapting and utilizing the ever-advancing high performance computing environments. The application of those advances to society’s problems depends on a well-educated technical workforce.
Topics of specific interest are:
- Teaching strategies or innovative course content in applying computational science, grid-enhanced technologies, or high-performance computing environments to problem solving in all fields of study
- The theory and practice of highly parallel methods, high performance networks, and/or high performance filesystems
- The power of computational modeling and visualization
- The broad applicability of managing and analyzing vast data resources across all disciplines
- Inter-disciplinary and/or inter-institutional approaches
- Pedagogies that utilize computational science to facilitate learning of modern science topics, such as nanotechnology and data validation.
- Strategies for engaging larger and more diverse communities of practice in pursuing advanced degrees and becoming full participants in the HPC community of practitioners
- Synchronous and asynchronous methodologies to address non-traditional teaching and learning styles
- Approaches to engaging and sustaining involvement of under-served communities to increase the national pool of women, minorities and people with disabilities achieving Bachelor’s, Master’s and PhD degrees
- Advancements in "Computational Science" Education
- Ontologies for the computational science and HPC skills and knowledge students should acquire to be well prepared for their professional career. Resources and methodologies used for assessment of HPC Education
- Strategies for engaging and retaining significantly larger numbers of students pursuing advanced computational science degrees
- HPC-based tools, resources, and methods that successfully improve and advance teaching and learning.
Guest Editors
- Scott Lathrop, Argonne National Laboratory
- Thomas Murphy, Contra Costa College (California)
Advisory Panel
- Paul Gray, University of Northern Iowa
- Rubin Landau, Oregon State University
- Robert M. Panoff, Shodor Education Foundation, Inc.
- Nora Sabelli, SRI International
- George K. Thiruvathukal, Loyola University Chicago
Submission Process
Submissions should be limited to 2,400 to 7,200 words with pictures counting as 250 words. Refer to http://www.computer.org/portal/pages/cise/content/author.html for the submission instructions. Submission deadline is January 15, 2008.
Venues to disseminate CFP
- SC07 in general, and SC07 Education Program in particular
- Need flier, and Kristina to create web page of CFP
Guidelines for the issue
- total "space" in the printed publication is 23,000 words
- figures and tables count as 250 words
Goals and other points to keep in mind
- Chuck Swanson and his list of CSE schools
- Krell and student articles
- want papers covering broad spectrum
- K12 / Community College / undergraduate / graduate
- Disciplines Physics / Chemistry / Biology etc
- Usual CSE Suspects and underrepresented / overlooked groups
