Workshop Introduction

• Ian Fisk (Fermi National Accelerator Lab. (US))
• Peter Elmer (Princeton University (US))
• Carlos Maltzahn (University of California, Santa Cruz)

DOMA for the Large Synoptic Survey Telescope (LSST)

• Donald Petravick (U)

Experience with Genomics multi-PB sample

• Natalia Volfovsky (Simons Foundation)

Deep Learning Astronomical Survey Data

• Shawfeng Dong (University of California at Santa Cruz)

DOMA in High Energy Physics

• Oliver Gutsche (Fermi National Accelerator Lab. (US))

Data Management for XENON1T and South Pole Telescope

• Benedikt Riedel (University of Chicago)

Analysis of Data Handling of Astronomy Simulation

• Shy Genel (Flatiron Institute)

Current practices and challenges of genomics in the cloud

• Brian O'Connor (University of California at Santa Cruz)

Analysis of Observational Data in Astronomy

• Lauren Anderson (Flatiron Institute)

DOMA R&D for the High-Luminosity Large Hadron Collider (HL-LHC)

• Maria Girone (CERN)

SkyhookDB: Leveraging object storage toward database elasticity in the cloud.

• Jeff Lefevre (University of California at Santa Cruz)

From Data Federations to Data Lakes

• Brian Paul Bockelman (University of Nebraska Lincoln (US))

Data Management with Columnwise Stores

• Jim Pivarski (Princeton University)

Multi-Institutional Open Storage Research InfraStructure (MI-OSiRIS)

• Shawn Mc Kee (University of Michigan (US))

Ceph successes and challenges with open source distributed storage

• Sage Weil (Redhat)
• Carlos Maltzahn (University of California, Santa Cruz)

A perspective on the challenges and opportunities of data management and sharing

• H. Birali Runesha (University of Chicago)

Research Data in the Cloud

• Kevin Jorissen (Amazon Web Services)

Storage-class memory (SCM)-centric Systems Paradigm

• Shaun Astarabadi (Western Digital)

General purpose CPU-centric architectures and interfaces are becoming a limiting factor in the age of big data and Compute-intensive applications. A paradigm shift to storage-class memory (SCM) at the center approach, with magnitudes of order in expandable capacity, attached to heterogeneous computation devices, through modern interfaces, can be tailored for purpose-built solutions.

Sciunits: Reusable Research Objects

• Tanu Malik (Depaul University)

Breakout Sessions

Breakout Sessions

Summary session