The Multicore Revolution
Prof. Maurice Herlihy,
Brown University, USA –
Computer architecture is undergoing, if not another revolution, then a vigorous shaking-up. The major chip manufacturers have, for the time being, mostly given up trying to make processors run faster. Instead, they have switched to “multicore” architectures, in which multiple processors (cores) communicate directly through shared hardware caches, providing increased concurrency instead of increased clock speed.
As a result, system designers and software engineers can no longer rely on increasing clock speed to hide software bloat. Instead, they must somehow learn to make effective use of increasing parallelism. This adaptation will not be easy. Conventional synchronization techniques based on locks and conditions are unlikely to be effective in such a demanding environment. Coarse-grained locks, which protect relatively large amounts of data, do not scale, and fine-grained locks introduce substantial software engineering problems. As a result, the community has increasingly turned to hardare and software models based on atomic transactions.
This talk will survey the area, with a focus on open research problems.
Hosts:Luís Rodrigues and João Cachopo
Maurice Herlihy has an A.B. in Mathematics from Harvard University, and a Ph.D. in Computer Science from M.I.T. He served on the faculty of Carnegie Mellon University, on the staff of DEC Cambridge Research Lab, and is currently Professor in the Computer Science Department at Brown University. He is an ACM Fellow, and is the recipient of the Dijkstra Prize in Distributed Computing in 2003 and in 2012, and the Goedel Prize in theoretical computer science in 2004. He received the W. Wallace McDowell Award in 2013. His 1993 paper inventing`transactional memory won the 2008 ISCA influential paper award.
Luís Eduardo Teixeira Rodrigues
Anfiteatro do Complexo Interdisciplinar, IST Alameda
Mathematics, Physics & Machine Learning Seminar Series (Online)
The Mathematics, Physics & Machine Learning seminar series has started on October 2020 and runs until March 2021.
The seminars aim to bring together mathematicians and physicists interested in machine learning (ML) with ML and AI experts interested in mathematics and physics, with the goal of introducing innovative Mathematics and Physics-inspired techniques in Machine Learning and, reciprocally, applying Machine Learning to problems in Mathematics and Physics.
Attendance is free but registration is required.
More information is available here.
International European Conference on Parallel and Distributed Computing
The 27th International European Conference on Parallel and Distributed Computing (Euro-Par 2021) will take from August 30 to September 3 2021 in Lisbon.
Euro-Par is the prime European conference covering all aspects of parallel and distributed processing, ranging from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-fledged applications, from architecture, compiler, language and interface design and implementation, to tools, support infrastructures, and application performance aspects.
The 2021 edition of Euro-Par will be organized as a collaboration between INESC-ID and Instituto Superior Técnico (IST).
– Abstract Submission: February 5, 2021
– Paper Submission Deadline: February 12, 2021
– Author Notification: April 30, 2021
– Camera-Ready Papers: June 6, 2021
More information is available here.