Registration open, technical program released for SC14 in New Orleans — Nov. 16-21

Online registration for the 2014 International Conference on High Performance Computing, Networking, Storage and Analysis, better known as SC14, is now open on the SC14 website. SC14’s Technical Program is also now live on the website listing  panels, research papers, tutorials, and workshops.

SC14 will be held in New Orleans from November 16–21. With SC’s new theme, “HPC matters”, marking the 26th annual conference, organizers say SC14 attendees can expect a fresh look at high performance computing (HPC). SC14 will not only bring HPC’s emerging techniques and innovative applications to New Orleans, but they will also deliver a stronger message of just how much HPC impacts our lives, according to a conference press release.

Some opportunities remain for inclusion in the technical program, with a deadline of July 31 for submissions.

ICPSR announces preliminary program for 2014 Data Fair — Oct. 7-9

The 2014 Data Fair held by the Inter-university Consortium for Political and Social Research (ICPSR) is scheduled for October 7-9. ICPSR has released a preliminary program which includes sessions on its addiction and HIV archive, its arts and culture archive, disclosure risk, and teaching with data.

A complete listing is available on the ICPSR site, and webinar registration will be available in the first week of September.

Submissions invited for tour of computational modeling and simulation facilities in Northern Germany — Sept. 20 deadline

The German Academic Exchange Service (DAAD) invites foreign researchers and administrators from universities and research institutes to participate in a tour of cutting-edge research facilities in northern Germany which specialize in the field of modeling future scenarios. The tour will cover a range of interdisciplinary topics related to the use of modeling techniques.

  • Thematic focus: issues related to computer-based modeling and simulation (e.g. maritime sciences, economics, climate change and epidemiology)
  • Target group: researchers and administrators with a strong research background and an interest in international cooperation
  • Closing date for applications: Sept. 20, 2014
  • Science Tour: Nov. 30 to 6 Dec. 6 2014
  • Please apply using their online form.

About the tour
The tour will present cutting-edge research activities in the field of computer-based modelling and simulation at facilities in northern Germany. The program will focus on current issues regarding maritime sciences, economics, climate change and epidemiology. Comprehensive information on funding opportunities for cooperation in education and research will also be provided.

Visit the program web site for more information.

Sloan Foundation seeks applications for research fellowships — Sept. 15 deadline

The Alfred P. Sloan Foundation is accepting proposals for its 2014 Sloan Research Fellowship Program.


Submission Deadline: September 15, 2014
Research Areas: Chemistry, Computational and Evolutionary Molecular Biology, Computer Science, Economics, Mathematics, Neuroscience, Ocean Sciences and Physics (note that these are fields, not departments)
Program Attachments and more information, including award amount: Sloan Foundation web site 
Eligibility: Within 6 years of completing PhD

For further information contact: Maureen Martin, Executive Director, Foundation Relations, martinms@umich.edu


The Sloan Research Fellowships seek to stimulate fundamental research by early-career scientists and scholars of outstanding promise. These two-year fellowships are awarded yearly to 126 researchers in recognition of distinguished performance and a unique potential to make substantial contributions to their field. Michigan performs well in this competition. In 2014, three faculty members at Michigan received fellowships. The foundation receives about 700 applications per year and will award 126.

More information is available on applying for the fellowships from the U-M Foundation Relations.

Informational sessions: Graduate studies in computational science — Sept. 9-10

The Michigan Institute for Computational Discovery and Engineering (MICDE) is sponsoring two informational events on graduate programs that will prepare students for success in computationally intensive fields.

Session I:

Tuesday, Sept. 9
5 – 6 p.m.
3100 North Quad (Ehrlicher Room)

Session II:

Wednesday, Sept. 10
5 – 6 p.m.
1500 EECS

Agenda:

  • Presentation on the Ph.D. in Scientific Computing by Ken Powell, Arthur F. Thurnau Professor of Aerospace Engineering
  • Presentation on the Graduate Certificate in Computational Discovery and Engineering by Eric Michielssen, Professor of Electrical Engineering and Computer Science, and Director of MICDE.
  • Questions and answers

Pizza and pop will be provided.

Please pass this information along to any potentially interested graduate students.

Fall Term schedule set for HPC workshops — Sept. 3 – Oct. 15

The schedule has been set for introductory and advanced workshops in high performance computing for the Fall 2014 term.

Presented by Dr. Charles Antonelli of LSA-IT, the three workshops consist of an introduction to basic Linux commands, an overview of cluster computing, and an advanced HPC workshop.

All classes will be held in Room B735 of East Hall.

HPC 100: Introduction to the Linux Command Line for High Performance Computing

1 – 3 p.m., Wednesday, Sept. 3
OR
1 – 3 p.m., Wednesday, Oct. 1
(sign up for only one session)

This course will familiarize the student with the basics of accessing and interacting with high-performance computers using the GNU/Linux operating system’s command line. Topics include: a brief overview of Linux, the command shell, navigating the file system, basic commands, shell redirection, permissions, processes, and the command environment. Through hands-on experience, students will become familiar with the Linux command-line interface to high-performance computer systems, or other Linux systems for manipulating and analyzing data.

For more, and for a link to registration, visit this page.

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HPC 101: High Performance Computing Workshop

1 – 5 p.m., Wednesday, Sept. 17
OR
1 – 5 p.m., Wednesday, Oct. 8
(sign up for only one session)

This course will provide an overview of cluster computing in general and how to use the U-M Flux Cluster in particular. Topics to be covered include cluster computing concepts, common parallel programming models, introduction to the Flux Cluster; creating, submitting, observing, and analyzing cluster jobs; common pitfalls and how to avoid them; and some useful tools. We will issue you a temporary allocation to use for the course, or you can use your existing Flux allocations, if any. Short sample programs will be provided, or come to class with your own.

Prerequisites

HPC 100 or equivalent. This course assumes familiarity with the Linux command line.

For more, and for a link to registration, visit this page.

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HPC 201: Advanced High Performance Computing Workshop

1 – 5 p.m., Wednesday, Sept. 24
OR
1 – 5 p.m., Wednesday, Oct. 15
(sign up for only one session)

This course will cover some more advanced topics in cluster computing on the U-M Flux Cluster. Topics to be covered include a review of common parallel programming models and basic use of Flux; dependent and array scheduling; advanced troubleshooting and analysis using checkjob, qstat, and other tools; use of common scientific applications including Python, MATLAB, and R in parallel environments; parallel debugging and profiling of C and Fortran code, including logging, gdb (line-oriented debugging), ddt (GUI-based debugging) and map (GUI-based profiling) of MPI and OpenMP programs; and an introduction to using GPUs. We will issue you a temporary allocation to use for the course, or you can use your existing Flux allocations, if any.

Prerequisites

HPC 101 or equivalent. This course assumes familiarity with the Linux command line, text editing on Linux, and a basic understanding of Flux including how to submit and track jobs.

For more information, and a link to registration, visit this page.

XSEDE Big Data training available at U-M — Sept. 2

The Extreme Science and Engineering Discovery Environment, or XSEDE conducts a series of hands-on workshops to provide a convenient way for researchers to learn about the latest techniques and technologies of current interest in HPC.

The University of Michigan will host an upcoming session on Big Data:

September 2, 2014
11 a.m. – 5 p.m. EST
3100 North Quad

11 a.m. – 1 p.m. Big Data Programming with Hadoop and Spark

This session will give an overview of programming big data applications focusing on Hadoop and Spark.

I. Hadoop System Overview
This section will cover the basics of the Hadoop Environment. We will discuss the Map Reduce daemons, the scheduling and monitoring environment, and interacting with the distributed file system (HDFS).

II. Hadoop Jobs
We will write a simple Java Map/Reduce program and run through the process of compiling, packaging, submitting, monitoring, and collecting the output of a Hadoop job. We will also briefly discuss other applications that run on the Hadoop platform such as HBase and Hadoop Streaming.

III. Spark
We will discuss the Spark platform and its concept of Resilient Distributed Datasets. We will cover the relationship between Spark and Hadoop, and we will write and submit an example job. We will also discuss the Spark Machine Learning API.

2 – 5 p.m. Urika Training

  • Learn the Graph Analytic approach to Data analysis, including some real-world examples.
  • Gain an introduction to the RDF data format and the SPARQL query lanquage, with hands-on practice.
  • Learn how to interact with the Sherlock Urika system.
The Ehrichler Room is on the 3rd floor, Room 3100, of North Quad and can be located on Path #2 entering the Thayer/Washington Plaza of the directions.

To register to attend the workshop, visit the XSEDE registration page. Seating is limited

IEEE BigData 2014 Conference: Humanities Workshop Call for Papers — Aug. 30 deadline

The 2nd IEEE workshop on Big Humanities Data will be held in conjunction with the IEEE International Conference on Big Data (IEEE BigData 2014), which takes place October 27-30 in Washington DC. The workshop will address applications of “big data” in the humanities, arts, culture, and social science, and the challenges and possibilities that such increased scale brings for scholarship in these areas.

Full papers, of up to 9 pages, should be submitted via the conference online submission system. We also encouraged submission of short papers (up to 4 pages) reporting work in progress. The submission deadline is 30 August 2014. All papers accepted will be included in the proceedings published by the IEEE Computer Society Press, which will be made available at the conference.

REMINDER: Registration open for VSCSE course in data visualization held at U-M — Aug. 25-26

Registration is open for the Virtual School of Computational Science and Engineering’s Science Visualization Course (August 25-26).

This two-day training will cover all aspects of visualizing data from a broad variety of domains. We will kick off the training with an introduction to visualization. We will follow by teaching best practices when dealing with diverse data (abstract and spatial), demonstrating a variety of methods and techniques on those data sets, and demonstrating a range of freely available software. We will take real world problems for which visualization is needed and take the attendees through the process of visualizing this data and gaining insight.

The sessions will take place at 1180 Duderstadt.

Python Data Management and Analysis Workshop at U-M — Aug. 19-21

ARC (Advanced Research Computing) and CSCAR (Center for Statistical Consultation and Research) are co-sponsoring a workshop open to all members of the U-M community. The focus of the workshop will be using Python in research involving data processing and analysis.

The workshop will be held August 19, 20, and 21 (Tuesday, Wednesday, and Thursday) from 10 a.m. – 1 p.m. each day in Room 335, West Hall.

This is an intermediate-level workshop intended for people who have some programming experience in a statistical package or data processing language (e.g. R, Matlab, Stata). Prior experience with Python is helpful but not required. You may bring your own laptop if you wish to experiment with the examples during the workshop, but this is not required. The lecture room does not have computers.

The workshop will be organized around case studies of analyses involving challenging data sets. Most of our time will be spent walking through analysis scripts. We will discuss language concepts and libraries as they arise in the case studies. Exercises will be provided at the end of each workshop day to give participants the opportunity to work with the tools being discussed.

We will briefly review how U-M researchers can access Python, including using U-M resources, cloud resources, and installing the software on your own machine. CSCAR can provide follow-up consulting for participants who wish to use Python in their research.

All course materials will be available through this wiki. Feel free to look around to get a sense of what we will be covering. The materials will be under development until the workshop begins.

This is an informal workshop, there is no registration. There is no charge to attend.

Directions

West Hall houses the ‘Engineering Arch’ entrance to the Diag at the corner of South University and East University, near Ulrich’s Bookstore and the Espresso Royale.  Room 335 is on the Diag side of the third floor about halfway between the arch and the Randall Laboratory building.  If you need to use the elevator, you should enter on the north side, closest to Randall Laboratory.