About

Computing nowadays is a concurrent computing. Be it a mainstream multi-core machine, a computing cluster, or a large-scale distributed service, a modern computing system involves multiple processes that concurrently perform independent computations and communicate to synchronize their activities. Understanding concurrency is therefore getting essential to be competitive in practice or research in computer science.

What will be taught?

The school will offer courses on a wide range of practical and theoretical aspects of concurrency given by renowned experts in the field. The following topics will be covered (probably, not all of them):

• Concurrent data structures: definitions and design principles.
• Fault-tolerance and asynchrony
• Fine grained locking, optimism and relaxation
• Flat combining and data locality
• Concurrency issues in data mining and big data processing
• Randomization in concurrent algorithms
• Transactional memory
• Verification of concurrent systems
• Dynamic memory allocation and garbage collection
• Probabilistic performance analysis

More information about the courses can be found here.

Who are the lecturers?

• Dan Alistarh (IST Austria & ETH Zurich)
• Roman Elizarov (ITMO University, JetBrains)
• Rachid Guerraoui (EPFL)
• Danny Hendler (U Ben Gurion)
• Maurice Herlihy (Brown U)
• Anne-Marie Kermarrec (INRIA, Rennes)
• Erez Petrank (Technion)
• Michel Raynal (U Rennes)
• Liuba Shrira (Brandeis University)
• Nir Shavit (MIT)

For whom?

This school is mostly for students, doctoral students, post-docs and young researchers. But anybody who is interested in concurrent computing is welcome.

Workshop

The workshop will be held at 4th July.
For more information consult this page.

Poster

Poster can be downloaded from here.