Model Checking and the Curse of Dimensionality
Prof. Edmund M. Clarke,
Carnegie Mellon University, USA –
Model Checking is an automatic verification technique for large state transition systems. It was originally developed for reasoning about finite-state concurrent systems. The technique has been used successfully to debug complex computer hardware and communication protocols. Now, it is beginning to be used for software verification as well. The major disadvantage of the technique is a phenomenon called the State Explosion Problem. This problem is impossible to avoid in worst case. However, by using sophisticated data structures and clever search algorithms, it is now possible to verify state transition systems with astronomical numbers of states.
Edmund M. Clarke received a B.A. degree in mathematics from the University of Virginia in 1967, a M.A. degree in mathematics from Duke University in 1968, and a Ph.D. degree in computer science from Cornell in 1976. He taught at Duke University from 1976-1978 and at Harvard University from 1978-1982. Since 1982 he has been on the faculty in the Computer Science Department at Carnegie-Mellon University. In 1995 he became the first recipient of the FORE Systems Professorship, an endowed chair in the School of Computer Science. He was named a University Professor in 2008.
Dr. Clarke’s interests include software and hardware verification and automatic theorem proving. In 1981 he and a graduate student, Allen Emerson, first proposed the use of Model Checking as a verification technique for finite state concurrent systems. His research group pioneered the use of Model Checking for hardware and software verification. In particular, his research group developed Symbolic Model Checking using BDDs, Bounded Model Checking using fast CNF satisfiability solvers, and pioneered the use of CounterExample-Guided-Abstraction-Refinement (CEGAR). In addition, Clarke and his students developed the first parallel general resolution theorem prover (Parthenon), and the first theorem prover to be based on a symbolic computation system (Analytica).
Dr. Clarke is one of the founders of the conference on Computer Aided Verification (CAV) and served on its steering committee for many years. He is the former editor-in-chief of Formal Methods in Systems Design. He served on the editorial boards of Distributed Computing, Logic and Computation, and IEEE Transactions in Software Engineering. In 1995 he received a Technical Excellence Award from the Semiconductor Research Corporation. He was a co-recipient of the ACM Kanellakis Award in 1998. In 1999 he received an Allen Newell Award for Excellence in Research from the Carnegie Mellon Computer Science Department. In 2004 he received the IEEE Harry H. Goode Memorial Award. He was elected to the National Academy of Engineering in 2005 for contributions to the formal verification of hardware and software correctness. He was a co-recipient of the 2007 ACM Turing Award for his role in developing Model Checking into a highly effective verification technology, widely adopted in the hardware and software industries. He received the 2008 CADE Herbrand Award for Distinguished Contributions to Automated Reasoning and a 2010 LICS Test-of-Time Award. In 2011 he was elected to the American Academy of Arts and Sciences. He received an Honorary Doctorate from the Vienna University of Technology in 2012. Dr. Clarke is a Fellow of the ACM and the IEEE, and a member of Sigma Xi and Phi Beta Kappa.
João Paulo Marques da Silva
Lecture Room EA1, 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.
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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
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