Strata + Hadoop World big data conference — San Jose, CA, Feb. 17-20

The Strata + Hadoop World conference focused on big data is scheduled for Feb. 17-20 in San Jose, CA.

Presented by O’Reilly and Cloudera, the conference offers 10 tracks:

There are also three training courses available this year:

The conference web site provides the full agenda as well as pricing options.

Texas Advanced Computing Center hosts undergraduate computational summer training — Feb. 16 application deadline

This summer in Austin, 10 undergraduates majoring in science and engineering disciplines will be immersed in training at The University of Texas at Austin to be the next generation of ‘game changers’. Participants will explore grand challenges such as climate modeling, weather forecasting, drug delivery, brain mapping, energy exploration and understanding the human genome, to name a few.

The program runs from June 1 to Aug. 1, and participants will receive a stipend for work, travel, and housing. The deadline to apply is Feb. 16.

Visit the TACC Integrative Computational Education and Research Traineeship website for more details and to apply.

MICDE Seminar: David Randall, Colorado State University, on “Climate Modeling: What To Do While We Wait for Exascale” — Feb. 5

David Randall is a University Distinguished Professor of Atmospheric Science at Colorado State University, and director of the Center for Multiscale Modeling of Atmospheric Processes, an NSF Science and Technology Center. His research interests are in general circulation modeling, cloud-climate studies, and cloud parameterization. He previously served as Assistant Professor, Department of Meteorology, Massachusetts Institute of Technology, and Meteorologist in the Global Modeling and Simulation Branch, NASA/Goddard Space Flight Center. He is a fellow of the American Meteorological Society, the American Geophysical Union, and the American Association for the Advancement of Science. Randall holds B.S. and M.S. degrees in Aeronautical and Astronautical Engineering from Ohio State, and a Ph.D. in Atmospheric Sciences from University of California, Los Angeles.

Climate Modeling: What To Do While We Wait for Exascale

3:30 – 4:30 p.m., Thursday, Feb. 5
Room 2246, Space Research Building

Cloud processes play a central role in the dynamics of the tropical atmosphere, but for many years the shortcomings of cloud parameterizations have limited our ability to simulate and understand important weather systems. Since about 2001, “super-parameterization” has emerged as a new path forward, complementing but not replacing conventional approaches. This talk will outline the method, summarize its strengths and limitations, and show some recent results, including climate change simulations.

This event is presented by the Department of Atmospheric, Oceanic, and Space Sciences, and the Michigan Institute for Computational Discovery and Engineering.

Blue Waters Graduate Fellowship accepting applications — Feb. 4 deadline

Applications are now being accepted for the Blue Waters Graduate Fellowship, designed to support PhD students who are engaged in a program of study and research that is directly relevant to the use of the Blue Waters supercomputer.

Fellowship recipients will receive a stipend of $38,000 for the year-long fellowship and up to a $12,000 tuition allowance.

Fellowship applicants should be in the second or third year of their PhD program and engaged in research that can take advantage of the Blue Waters supercomputer.

Applicants must be U.S. Citizens or landed immigrants. The application deadline is February 4, 2015. More information about the fellowship can be found at: https://bluewaters.ncsa.illinois.edu/fellowships

ICPSR Summer Undergraduate Internship Program accepting applications — Jan. 31 deadline

The ICPSR summer internship program provides undergraduate students with a unique and expansive research experience that introduces all aspects of social science research and includes supported exploration of a research query from start to finish, data management training, and focused methodological education in quantitative research. This prepares interns for capstone or senior thesis projects, graduate school, and/or research-based employment opportunities. The students, under the supervision of faculty mentors, develop a research question, perform a literature search and review, complete data analysis, and report findings in a poster; learn good data management processes and research practices with a research process mentor; and attend classes at the ICPSR Summer Program in Quantitative Methods.

Applications are being accepted through Jan. 31. Visit the internship website for more information.

Los Alamos National Lab accepting applications for summer workshop in computational physics — Jan. 26 deadline

Los Alamos National Laboratory is accepting applications for its Computational Physics Students Summer Workshop, which takes place from June 8 through August 14, 2015. Graduate and undergraduate students are eligible to apply.

Topics will include:

  • A Variable Density Incompressible RANS Testbed in Python (RANS)
  • Multi-Scale Materials Modeling (MultiScale)
  • Topics in Lagrangian, Compressible, Multi-Phase Flow(NextGen)
  • Warm Dense Matter Calculations using OFMD (OFMD)
  • Modeling Warm Dense Matter using Quantum-Mechanical Density Function Theory (DFT)
  • Monte Carlo Thermal Radiation Transport (MCRad)
  • Production Codes on Xeon Phi/Knights Corner (Knights)
  • Lagrangian radiation hydrodynamics (RadHydro)
  • Determining the Effectiveness of the Menikoff-Kober Crush-Out Model for Studying Lunar Crater Formation(Moon)
  • Computational Physics on Advanced Architectures using a Domain-Specific Language (DSL)
  • Advanced Mesh-Free Methods for Compressible Mechanics (MeshFree)

Fellowships, typically ranging from $7,500 to $13,000, are available.

The deadline for applying is Jan. 26, 2015. See the program web site for more information.

Registration open for winter term HPC training

Registration is open for a series of ARC-sponsored training courses and workshops in high performance computing in January and February. Each session — beginning, intermediate and advanced — will be offered three times.

HPC100 — Introduction to the Linux Command Line for HPC
1 – 4 p.m., B743 East Hall
Thursday, January 22
Monday, February 2
Friday, February 4
This course will familiarize students with the basics of accessing and interacting with high-performance computers using the GNU/Linux operating system’s command line. For more information, and to register, visit this page.

HPC101 — High Performance Computing Workshop
1 – 5 p.m., B743 East Hall
Tuesday, February 3
Monday, February 9
Wednesday, February 11
This course provides an overview of cluster computing in general and how to use the Flux cluster in particular. (Prerequisite: HPC 100 or equivalent.)
For more information, and to register, visit this page.

HPC201 — Advanced High Performance Computing Workshop
1 – 5 p.m., B743 East Hall
Thursday, February 5
Friday, February 13
Monday, February 16
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. (Prerequisite: HPC101 or equivalent.)
For more information, and to register, visit this page.

HPC 100: Introduction to Linux — Jan. 22

A few seats are still open for the first HPC 100: Introduction to Linux course of the winter term. The course will familiarize students with the basics of accessing and interaction with high performance computers using the GNU/Linux operating system command line. Through hands on experience, students will learn the command line interface to high computing performance systems or other Linux systems for manipulating and analyzing data.

Date: Thursday, Jan. 22

Time: 1 – 4 p.m.

Location: B743 East Hall, 530 Church Street.

Instructor: Kenneth Weiss, IT Project Senior Manager, Medical School Information Services (MSIS)

Visit the course page for more information, and to register.

To see a complete listing of HPC training courses being offered this year, visit our Training and Workshops page.

Supercomputing in Plain English free webcasts available starting Jan. 20

Supercomputing in Plain English (SiPE), presented by the Oklahoma University Supercomputing Center for Education and Research, will be available for viewing on the Internet starting January 20.

The weekly series, scheduled for 2:30 p.m. Eastern every Tuesday, is aimed at an audience of scientists and engineers, including undergraduates, graduate students, faculty and staff. The workshops focus on fundamental issues of high performance computing as they related to computational and data-enabled science and engineering.

Topics will include:

  • Overview: What the Heck is Supercomputing?
  • The Tyranny of the Storage Hierarchy
  • Instruction Level Parallelism
  • Stupid Compiler Tricks
  • Shared Memory Multithreading (featuring OpenMP)
  • Distributed Multiprocessing (featuring MPI)
  • Applications and Types of Parallelism
  • Multicore Madness
  • High Throughput Computing
  • Accelerators: Number Crunching in Your Graphics Card
  • Grab Bag: Scientific Libraries, I/O Libriaries, Visualization.

Visit the program’s web site for more information.

CSCAR workshop schedule includes sessions on SPSS, SAS, Stata, R, and more

The Center for Statistical Consultation and Research is offering several workshops this term, including sessions on SPSS, Applied Survival Analysis, Data Management and Macros with SPSS, SAS, R, Stata, and Regression Analysis.

A complete schedule can be found on CSCAR’s Workshops web page.

More information about CSCAR’s services are available on its home page.