University of Cambridge Open Exascale Lab: Making Exascale Work for Everyone


Together with the existing PowerEdge servers, the new Cambridge Service for Data Driven Discovery (CSD3) system is projected to deliver four petaflops of application performance—or four quadrillion floating point operations per second—to advance research across astrophysics, nuclear fusion power generation and lifesaving clinical medicine applications.

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Article: Unlock the Power of DAOS in Python with PyDAOS


Andrey Kudryavtsev, DAOS Product Management, Intel Corporation

Andrey is in the DAOS Product Management role at Intel with more than 20 years of total server experience. Andrey has an unique mix of expertise in the storage technology from the file system stack down to the device level. He graduated from Nizhny Novgorod State University in Russia by Computer Science. Andrey holds patents in SSD development for component failure mitigation. Prior to joining DAOS group he worked on Optane technology enabling as Solution Architect. Outside of the work he is the owner and co-author of many experimental technologies in music, musical instruments design and electric vehicle conversion projects.

Dr. Paul Calleja, Director of Research Computing Services, University of Cambridge

Dr. Paul Calleja is the Director of Research Computing Services (RCS), where he provides research computing services across all academic disciplines. Dr.Calleja obtained his Ph.D. in computational bio-physics at Bath University. After filling a post-doctoral research position at Birkbeck College, he moved into private industry, where he spearheaded early commercialization of HPC cluster solutions within the U.K. Following six years in the commercial sector, where he led the market transition from proprietary SMP systems to commodity cluster-based solutions, Dr. Calleja returned to academia to lead the formation of a new HPC service at Imperial College, London. From there, he moved to Cambridge University, to form a new HPC service and to direct a major reorganization that has resulted in University-wide HPC capabilities with a novel pay per use cloud computing model. Cambridge University now boasts the fastest academic supercomputer in the UK. Dr.Calleja sits on numerous national and international HPC committees and advisory boards, as well as being a founding member of the UK HPC Special Interest Group.