The 22nd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2016), hosted by SLAC and LBNL, concluded today at the San Francisco Marriott Marquis. The conference took place from October 10-14.

The CHEP conferences address challenges in computing, networking and software for the world’s leading data-intensive science experiments that currently analyze hundreds of petabytes of data using worldwide computing resources.

Among the many interesting presentations and discussions:

• Dan Riley (Cornell) presented the latest results (slides) from the Princeton/Cornell/UCSD parallel tracking project
• David Abdurachmanov (U.Nebraska-Lincoln) presented the latest results (slides) on investigations of future computing platforms for High Energy Physics. This is a collaboration between Princeton, CERN and U.Nebraska-Lincoln.
• Oliver Gutsche (FNAL) presented “Big Data in HEP: A comprehensive use case study" (slides), work done as part of a collaboration between FNAL, Princeton and the DIANA/HEP project.
• Peter Elmer (Princeton) presented the status of the HEP Software Foundation Community White Paper process (slides).