Call for Proposals for HASTAC V: Digital Scholarly Communication

The University of Michigan will be hosting the 2011 annual HASTAC Conference (face-to-face!) on its Ann Arbor campus December 2 and 3. We invite proposals for presentations on the general theme of Digital Scholarly Communication.

Deadline for submission is September 15, 2011. Proposals can be submitted here: http://tinyurl.com/HASTAC2011-Proposal

We seek topics which may range over but need not be restricted to, the role of digital technologies in:

* Reformulating scholarly projects and products. (This might include questions of narration and argumentation, evidence and epistemology, interactivity, and/or text/visual presentation.)

* Re-mapping the routes through which scholarly products circulate.

* Expanding the digital arts to include the humanities and vice versa.

* Reshaping the global system of knowledge production in the humanities in terms of access, circulation, exchange and equity within the global north and between the global north and south.

* Generating new kinds of research and teaching partnerships.

Topics may also include:

* Copyright challenges and strategies for digital scholarly communication.

* Web design and digitization of archives for multiple and different constituencies (local communities, global peers).

* New forms of research, digitally based, in the humanities.

The middle part of the day on both December 2 and 3 will be given over to concurrent sessions. People may present in any of three formats:

* An individual five-minute “lightening” talk or ten-minute lecture-style presentation, with or without technology (e.g., PPT, Prezi)

* A panel on a common theme with short presentations to allow for discussion time, with or without technology

* A poster project or demo for conversation in a digital display area (e.g., YouTube or other presentation format uploaded to conference website; laptop-based video on a continuous loop, slidecast, interactive website; print poster board)

Presenters will have the option of pre-circulating materials on the website before and during the conference. (Information on an Unconference event for December 1 forthcoming).

Deadline for submission is *September 15, 2011*. Proposals can be submitted here: http://tinyurl.com/HASTAC2011-Proposal

Sheryl Grant

Director, Social Networking

HASTAC/MacArthur Foundation

Digital Media & Learning Competition <http://www.dmlcompetition.net/>

<http://www.youtube.com/user/video4hastac#g/p>

SC11 Education Program – Application Deadline Extended to Sunday August 7 2011

Information from the SC11 Education Program:

SC11 Education Program, Sat Nov 12 – Tue Nov 15 2011, Seattle WA

INTERNATIONAL APPLICATIONS WELCOME!

Submission website: https://submissions.supercomputing.org/

Applications deadline: Sunday, August 7, 2011
Acceptance Notifications: Monday, August 22, 2011

The Education Program is hosting a four-day intensive program that will immerse participants in High Performance Computing (HPC) and Computational and Data Enabled Science and Engineering (CDESE). The program will begin Saturday, November 12 (early morning) and end Tuesday, November 15 (late afternoon).

The focus of the program is to introduce HPC, CDESE and computational tools, resources and methods to undergraduate faculty and to pre-college educators in Science, Technology, Engineering and Mathematics (STEM) disciplines, as well as to undergraduate and graduate students considering careers teaching in STEM disciplines.

This is an excellent opportunity for you and your institution to adopt existing and emerging techniques and technologies into your local STEM curriculum.

The program also assists educators in integrating HPC, CDESE and computational techniques into their classrooms and research programs.

This year’s Education Program will include a variety of plenary sessions, guided tours of the exhibit hall, breakout sessions, focused hands-on tutorials and birds-of-a-feather gatherings, as well as formal and informal opportunities to interact with other SC communities and exhibitors.

Preference will be given to postsecondary faculty and to teachers in secondary school STEM programs. Students considering careers in teaching are also encouraged to apply. We encourage teams of up to five educators to apply.

Travel support will include airfare, hotel accommodations (double occupancy), food, and registration. (If you choose to drive rather than fly, we can reimburse some of that expense instead.)

The deadline for applications, including applications for travel support, is Sunday August 7. Selected participants will begin to be notified on or around Monday August 22.

The application requests a variety of information about your background and needs, which will help us to assess which applicants will be best served by this year’s program. While we are inviting applicants to register, we cannot guarantee acceptance in advance. Historically, we have only had sufficient budget to fund a subset of the applicants. Because of limited seating in this four-day intensive program, we’ll only be able to accept a limited number of self-funded participants into the program.

We encourage you to share this information with any colleagues who may also be interested in and appropriate for this program.

The Education Program is a component of the SC11 Communities Program, which includes Broader Engagement, which is focused on promoting participation by traditionally underrepresented populations; the International Ambassadors program, which encourages international participation; and the Student Volunteers program, which provides a means for undergraduate and graduate students to become directly involved in SC11.

For more information on these programs and how you and/or your colleagues may participate, visit:

http://sc11.supercomputing.org/?pg=communities.html

Henry Neeman (hneeman@ou.edu)
Chair, SC11 Education Program
and the SC11 Education Committee

Virtual School, Summer 2011: Proven Algorithmic Techniques for Many-core Processors

The Virtual School of Computational Science and Engineering (VSCSE) helps graduate students, post-docs and young professionals from all disciplines and institutions across the country gain the skills they need to use advanced computational resources to advance their research.  The VSCSE deploys conventional collaboration technologies in unconventional ways to create a national-scale virtual classroom that provides multiple high-quality audio and video channels for speakers, remote audiences, and various forms of content of immediate educational value to students.

The Virtual School of Computational Science and Engineering still has seats available at some locations for the 2011 Summer School course on Proven Algorithmic Techniques for Many-core Processors. This course, taught organized by Wen-Mei Hwu from the University of Illinois at Urbana-Champaign, provides students, faculty and staff access to an outstanding set of lessons on how to effectively use graphical programming units (GPUs) in scientific computing. After taking this course, participants will understand the ways that algorithm design choices can dramatically impact performance and will gain in-depth knowledge about algorithmic techniques for maximizing performance on GPUs.

This course runs for 5 days, from August 15-19, and is being taught across 11 sites across the country using high-definition video conferencing and other collaborative technologies. Participants will join from a specially equipped room that allows for interaction with remote speakers and provides face-to-face access with teaching assistants and other students. In addition, all students will receive access to an online Introduction to CUDA course.

Participating sites for this year’s course include:

  • Center for Computation & Technology, Louisiana State University, Baton Rouge, LA
  • Institute for Cyber Enabled Research, Michigan State University, East Lansing, MI
  • Institute for Data and High Performance Computing, Georgia Institute of Technology, Atlanta, GA
  • National Center for Supercomputing Applications, Urbana, IL
  • National Center for Supercomputing Applications ACCESS Center, Arlington, VA
  • Ohio Supercomputer Center, Ohio State University, Columbus, OH
  • Princeton Institute for Computational Science and Engineering, Princeton University, Princeton, NJ
  • University of Michigan, Ann Arbor, MI
  • University of Texas at El Paso, El Paso, TX
  • University of Utah, Salt Lake City, UT
  • Vanderbilt University, Nashville, TN  (filled—no longer accepting registrations)

Registration fees for each course are $100 and help offset the logistics and hospitality costs that the host sites incur in order to make this exciting program happen. More information about the course topics can be found on the VSCSE Website and registration is open at the VSCSE Hub.  Please register today, help spread the word and email info@vscse.org with any questions!

Thank you!

The VSCSE Organizing Team
http://www.vscse.org
https://hub.vscse.org

Save the Date: CI Days 2011

The 2nd annual free conference “Cyberinfrastructure (CI) Days” will be held the evening of Tuesday, November 29, and all day Wednesday and Thursday, November 30 and December 1.

Join us to learn and explore ways you can use CI in your research and teaching. The diverse agenda will suit all levels of experience, covering services and resources at U-M and beyond. CI Days will feature:

  • A poster session (with prizes) highlighting CI-enabled research projects on campus, plus an information fair about campus and national services
  • Presentations by nationally renowned leaders
  • Introductions to campus and national resources
  • Panels on best practices and current trends
  • Hands-on workshops
  • Information about additional educational opportunities in CI
  • Opportunities to meet colleagues with similar interests and form cross-campus connections with potential collaborators, including lunchtime “Birds of a Feather” groups

Further details about the event and registration will be posted on the ORCI website in September: http://arc.research.umich.edu

What is CI?

Cyberinfrastructure (CI) refers to a platform of technological and human support for advanced, integrated computation and information resources in service of research and learning. It includes such services and resources as:

  • High-performance computing (e.g., simulations, modeling, etc.)
  • Cloud computing for research
  • Advanced data management, sharing, and storage
  • Data collection techniques enabled by advanced information technologies
  • Advanced visualization
  • Network-mediated collaboration tools
  • Computer-mediated instrumentation/sensor networks
  • Web portals/middleware

Visualization Resources at the UM 3D Lab

The UM 3D Lab has a new 3×3 tiled display available for anyone to use. The Windows side is working well with a variety of programs and the Linux side will also be supported.

The Lab has also added a MakerBot to its service offerings which will allow individuals to print ABS plastic parts for free and iterate over designs before committing to a high-resolution print.

Campus HPC resources: TeraGrid support, GPUs, and MPI

Faculty interested in learning about the TeraGrid and getting HPC resources from them off campus (e.g., compute, data archive, or visualization services) should contact Brock Palen.

Flux has 8 GPUs available for testing. The GPUs are available at no additional cost to Flux users. Users who wish to use it should see:
http://cac.engin.umich.edu/resources/software/cuda.html

In Flux, we also have increased the number of supported CPUs for MPI debugging from 16 to 64 CPUs at a time.

Free MATLAB training seminar on Tuesday, August 2nd in the Duderstadt Center

Register for this seminar at www.mathworks.com/seminars/umich2011

Tuesday, August 2, 2011

9:30 a.m. – 12:00 p.m.

Parallel Computing with MATLAB

The Duderstadt Center, Windows Training Rooms 1 & 2

In this session, you will learn how to solve computationally and data-intensive problems using multicore processors, GPUs, and computer clusters.  We will introduce you to high-level programming constructs that allow you to parallelize MATLAB applications without CUDA or MPI programming and run them on multiple processors.  We will show you how to overcome the memory limits of your desktop computer and solve problems that require manipulating very large matrices by distributing your data.  We will also illustrate how you can run the same application on a single machine using the Parallel Computing Toolbox and on a large scale computing resource such as a cluster, using the MATLAB Distributed Computing Server.

This session will cover:

• Toolboxes with built-in support for parallel computing

• Creating parallel applications to speed up independent tasks

• Programming with distributed arrays to work with large data sets

• Scaling up to computer clusters, grid environments or clouds

** Note that these tools are already supported on Flux **