Supercomputing in Plain English (SiPE) (FREE)

February 13, 2018  1:30pm – 2:30pm
NLSN 1195

RCAC at Purdue is please to collaborate with the University of Oklahoma to offer Supercomputing in Plain English (SiPE)

You can participate from the location of your choice. For those who prefer to get away from the Lab and/or their desk for webcasts, we have reserved NLSN 1195 and a member of RCAC staff will be there to facilitate the broadcast at Purdue in a Wide Area Classroom format.

You need to Register directly with Oklahoma University. There is no charge for this event.

Details from OU are included below:

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Supercomputing in Plain English (SiPE), Spring 2018 Available live in person and live via videoconferencing

Tuesdays starting Jan 23 2018 (through Tue May 1 2018) 1:30pmET/12:30pmCT/11:30amMT/10:30amPT/9:30amAT/8:30amHT

  • Live in person on the University of Oklahoma Norman campus
  • Live via videoconferencing worldwide

(Details of both to be announced.)

Registration is open!

https://docs.google.com/forms/d/e/1FAIpQLSeaf5ypira79lTs1Nx7JR2YkFevxV7-4zwFCtT0SfHhDBGLUA/formResponse

(You only need to register once for the whole semester, not for every week.)

Please feel free to share this with anyone who may be interested and appropriate.

See previous editions at:

http://www.oscer.ou.edu/education/

So far, the SiPE workshops have reached over 2000 people at 362 institutions, agencies, companies and organizations in 51 US states and territories and 17 other countries:

  • 251 academic institutions;
  • 44 government agencies;
  • 49 private companies;
  • 18 non-governmental/not-for-profit organizations.

SiPE is targeted at an audience of not only computer scientists but especially scientists and engineers, including a mixture of undergraduates, graduate students, postdocs, faculty, staff and professionals.

These workshops focus on fundamental issues of High Performance Computing (HPC) as they relate to Computational and Data-enabled Science & Engineering (CDS&E), including:

  • overview of HPC;
  • the storage hierarchy;
  • instruction-level parallelism;
  • high performance compilers;
  • shared memory parallelism (e.g., OpenMP);
  • distributed parallelism (e.g., MPI);
  • HPC application types and parallel paradigms;
  • multicore optimization;
  • high throughput computing;
  • accelerator computing (e.g., GPUs);
  • scientific and I/O libraries;
  • scientific visualization.

The key philosophy of the SiPE workshops is that HPC-based software should be maintainable, extensible and, most especially, portable across platforms, and should be sufficiently flexible that it can adapt to, and adopt, emerging HPC paradigms.

Prerequisite:

1 semester of programming experience and/or coursework in any of Fortan, C, C++ or Java, recently

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Originally posted: January 22, 2018  3:21pm

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