Intel and Google HPC experts share our vision for how our collaboration on DAOS on GCP can fill a critical gap for high-performance storage in the cloud.
Kelsey Prantis heads the HPC Storage Architecture and Development division at Intel Corporation. She leads the development of Distributed Asynchronous Object Storage (DAOS), an open-source, scale-out, low-latency and high IOPS key-value store designed from the ground up for massively distributed Non-Volatile Memory (NVM). She joined Intel in 2012 with the acquisition of Whamcloud, where she led the development of the Intel Manager for Lustre* product. Prior to Whamcloud, she was a software developer at personal genomics and biotechnology company 23andMe. Prantis holds a Bachelor’s degree in Computer Science from Rochester Institute of Technology. https://www.linkedin.com/in/kelsey-prantis-97238411/
"Ilias Katsardis is the HPC Solution Lead for the Customer Engineering team (EMEA) at Google. In this role, Ilias brings over 14 years of experience in the cloud computing and high-performance computing industries to promote Google Cloud’s state-of-the-art infrastructure for complex HPC workloads. Previously, he worked as an applications analyst at Cray Inc., where he was a dedicated analyst to the European Centre for Medium-Range Weather Forecasts (ECMWF), and, prior to that, was an HPC application specialist at ClusterVision. Ilias also founded two startups Airwire Networks in 2006 and Performance Hive in 2017. https://www.linkedin.com/in/iliaskatsardis"
Dean Hildebrand is a Technical Director in the Office of the CTO at Google Cloud focusing on enterprise and HPC storage systems. He has authored over 100 scientific publications and patents, and been the technical program chair and sat on the program committee of numerous conferences. Previously, Dean was a Principal Research Staff Member at IBM Research focussing on high-performance storage. He received a B.Sc. degree in computer science from the University of British Columbia in 1998 and M.S. and PhD. degrees in computer science from the University of Michigan in 2003 and 2007, respectively.