RCE an HPC Podcast
Brock Palen and Jeff Squyres speak with Jason Zurawski about perfSONAR, a network measurement toolkit designed to provide federated coverage of paths, and help to establish end-to-end usage expectations.
Jason Zurawski is a Science Engagement Engineer at the Energy Sciences Network (ESnet) in the Scientific Networking Division of the Computing Sciences Directorate of the Lawrence Berkeley National Laboratory. ESnet is the high performance networking facility of the US Department of Energy Office of Science. ESnet''s mission is to enable those aspects of the DOE Office of Science research mission that depend on high performance networking for success.
Jason's primary responsibilities include working with members of the research community to identify the roll of networking in scientific workflows, evaluate current requirements, and suggest improvements for future innovations. Jason's professional interests include network monitoring and performance measurement, high performance computing, grid computing, and application development. He is a founding member of several open source R&E software developments, including perfSONAR, OWAMP, BWCTL, NDT, and OSCARS.
Brock Palen and Jeff Squyres speak with Matei Zaharia about Apache Spark, a fast and general engine for large-scale data processing.
Matei Zaharia is an assistant professor of computer science at MIT and CTO of Databricks, the company commercializing Apache Spark. He begun the Spark project at UC Berkeley and continues to do research in big data processing and computer systems. Apart from Spark, he has contributed to other open source projects including Apache Mesos, the SNAP sequence aligner, and Apache Hadoop.
Jonathan Dursi has worked in large-scale technical computing for nearly 20 years. He has worked at the DOE ASCI Flash Centre at the University of Chicago, where he was part of the team that won a 2000 Gordon Bell Award; the Canadian Institute for Theoretical Astrophysics, where he collaborated Canadian astronomy community as the co-author of a long-range plan white paper, to design a decadal plan for computing in this data-intensive field; SciNet, Canada’s largest academic supercomputing centre; Compute Canada; and most recently at the Ontario Institute for Cancer Research, in the Department of Informatics and Bio-computing. He has taught classes in HPC and technical computing techniques in three countries, to students in many disciplines.