Programming Non-Volatile Memory
School of Computer and Communication Sciences (IC) at EPFL (École Polytechnique Fédérale de Lausanne)”” –
New memory technologies are changing the computer systems landscape. Motivated by the power limitations of DRAM, new, non-volatile memory (NVM) technologies — such as ReRAM, PCM, and STT-RAM — are likely to be widely deployed in server and commodity computers in the near future. These memories erase the classical dichotomy between slow, non-volatile disks or SSDs and fast, volatile memory, greatly expanding the possible uses of durability mechanisms.
Taking advantage of non-volatility is not as simple as just writing data to NVM. Without programming support, it is challenging to write correct, efficient code that permits recovery after a power failure since the restart mechanism must find a consistent state in the durable storage. This problem is well-known in the database community, and a significant portion of a DB system is devoted to ensuring recoverability after failures.
James Larus is Professor and Dean of the School of Computer and Communication Sciences (IC) at EPFL (École Polytechnique Fédérale de Lausanne). Prior to joining IC in October 2013, Larus was a researcher, manager, and director in Microsoft Research for over 16 years and an assistant and associate professor in the Computer Sciences Department at the University of Wisconsin, Madison.
Rodrigo Seromenho Miragaia Rodrigues
IST Alameda – Anfiteatro Abreu Faro
Francisco António Chaves Saraiva de Melo: “Agregação” (Habilitation) in Computer Science and Engineering
Francisco António Chaves Saraiva de Melo, INESC-ID researcher within the Artificial Intelligence for People and Society Research Area and Associate Professor at the Department of Computer Science and Engineering of Instituto Superior Técnico, will present a course unit report and a seminar in order to be awarded his Agregação (Habilitation) in Computer Science and Engineering on 30th and 31st May 2022.
Francisco Melo will present the course unit report titled Planning, Learning, and Intelligent Decision Making at 9am on 30th May 2022 (available on Zoom), followed by the seminar Reinforcement learning: A dynamical systems viewpoint at 9am on 31st May 2022 (available on Zoom).