The International Conference for High Performance Computing, Networking, Storage and Analysis
HPC and Distributed Computing for Students in Science and Non-Science Programs.
Authors: Suzanne McIntosh (Cloudera, Inc. and New York University)
Abstract: The unprecedented growth in applications that leverage high performance computing (HPC) platforms ranging from supercomputers and grid computing systems, to Hadoop clusters, has created demand for graduates with skills in parallel programming, scientific computing, data science, and big data engineering.
Traditionally, HPC courses have been part of the Computer Science curriculum. As HPC applications find their way into finance, medicine, life sciences, advertising, and other industries, an HPC curriculum to simultaneously address the needs of Computer Science students and students studying business, life sciences, or mathematics is required.