The San Diego Supercomputer Center (SDSC) will again host a week-long Summer Institute workshop July 31- August 4. The event will focus on a wide range of introductory-to-intermediate topics in high-performance computing and data science for researchers in academia and industry, especially those in domains that have not traditionally used HPC resources.
This year’s workshop continues SDSC’s strategy of bringing high-performance computing to what is known as the ‘long tail’ of science, i.e. providing resources to a larger and more diverse number of modest-sized computational research projects that represent, in aggregate, a tremendous amount of scientific research and discovery. SDSC has developed and hosted Summer Institute workshops for well over a decade.
“This program is intended to assist researchers who have science challenges that cannot typically be solved using local computing resources,” said Andrea Zonca, an SDSC senior computational scientist and director of the Summer Institute, as well as an instructor in several courses on computing frameworks used to process large amounts of data distributed across thousands of computer nodes.
Highlights of SDSC Summer Institute 2017 include:
- A user’s guide to Comet, including interacting with its job scheduler, understanding strengths and weaknesses of the available files systems, and using singularity containers to run another operating system such as Ubuntu.
- Traditional supercomputing topics such as parallel programming with MPI/OpenMP, performance optimization, code profiling, GPU programming with CUDA, and scientific visualization.
- Today’s data science topics such as machine learning, ‘big data’ processing with Spark, and parallel programming with Python.
- Topics related to reproducibility, such as basic and advanced version control with git/GitHub and workflow management with Kepler.
Applications are due Friday, May 5, 2017.
