Computer Science

Computer Science

ACM SIGHPC and Intel are launching a new international program of graduate fellowships in computational and data science.

Computer Science

MSI PI Vipin Kumar, a Regents Professor in the Department of Computer Science and Engineering, has been named

Computer Science

The Barcelona Supercomputing Center (BSC) in association with Universitat Politecnica de Catalunya (UPC) will hold the seventh edition of the Programming and tUning Massively Parallel Systems summe

Computer Science

The University of Minnesota’s GroupLens Lab has received wide attention recently for a paper about how people can interpret various emoji differently.

Computer Science

The Open Science Grid (OSG) User School is soliciting applications for students to attend the 2016 session, July 25-29, 2016.

Computer Science

One petabyte of tape storage for under $10,000?

Python for Scientific Computing

Python is a modern general purpose programming language that is popular in scientific computing for its readable syntax and extremely rich ecosystem of scientific and mathematical modules. The morning section will provide an introduction to some widely used packages, including common idioms for manipulating and visualizing data. The afternoon section will cover advanced modules and techniques relevant to high performance computing.

Data Storage Systems and Data Analysis Workflows for Research

In this tutorial you will learn about the data storage systems available for academic research at the University of Minnesota. An overview of the kinds of storage systems that are available, policies for getting access to them, a comparison of their characteristics, and examples of how they can be accessed will be presented. You will also be given an overview of how the characteristics of UMN storage will impact the stability and throughput of various applications and workflows.

OpenMP

This tutorial provides an introduction on how to write a parallel program using OpenMP, and will help researchers write better and more portable parallel codes for shared memory Linux nodes. The course will cover the Compiler Directives (44), Runtime Library Routines (35), and Environment Variables (13) relevant to OpenMP. OpenMP supports C/C++ and Fortran implementations. Examples of how to enable OpenMP on the Intel, GNU, and PGI compilers will be given. The fork-join model of thread parallel execution will be described.

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