PPT-Correctness of parallel programs

Shaz Qadeer Research in Software Engineering CSEP 506 Spring 2011 Why is correctness important S oftware development is expensive Testing and debugging significant part of the cost T esting and debugging of parallel and concurrent programs is even more difficult and expensive. When you use parallel structure you increase the readability of your writing by creating word patterns readers can follow easily Understanding Parallel Structure Parallel structure also called parallelism is the repe tition of a chosen grammatical f 1 WHY CHOOSE PARALLELISM Parallel construction also called parallelism shows that two or more ideas are equally important by stating them in grammatically parallel form noun lined up with noun verb with verb phrase Partial correctness assertions are represented by intuitionistic linear implica tion We prove soundness and completeness over relational and trace models As a corollary we obtain a complete sequent calculus for inclusion and equivalence of regular e  . Name . E-mail  . Country, City, University.   . Omer . Subasi.  .  . osubasi@ku.edu.tr.  .  . Turkey,. Istanbul, . Koc. . University .  . Anton . Dergunov.  .  . anton.dergunov@mail.ru. Yancy. Vance . Paredes. Outline. Background. Motivation. Huffman Algorithm. Sample Implementation. Running Time Analysis. Proof of . Correctness. Application. Background. Lossless compression where around 20% to 90% of savings in space. with . OpenMP. © Dan Negrut, . 2012. UW-Madison. Dan Negrut. Simulation-Based Engineering . Lab. Wisconsin Applied Computing Center. Department of Mechanical . Engineering. Department of . Electrical and Computer Engineering. Verification. Orna Grumberg. Lectures Material. winter . 2016-17. Lecture 3. Floyd Proof Rule for Partial Correctness. To prove . {q. ₁. }P{q. ₂. } . :. Choose. a set of . cut points . such that:. Dr Susan Cartwright. Dept of Physics and Astronomy. University of Sheffield. Parallel Universes. Are you unique?. Could there be another “you” differing only in what you had for breakfast this morning?. Ali Mili, NJIT. Third Spring Festival Workshop. Karuizawa. , March 2017. Acknowledgements. In collaboration . with. M. . Frias (Argentina), . J. . . Desharnais. (CDN), . W. . . Ghardallou. (TN), . N. . Kartik . Nayak. With Xiao . Shaun . Wang, . Stratis. Ioannidis, Udi . Weinsberg. , Nina Taft, Elaine Shi. 1. 2. Users. Data. Data. Privacy concern!. Data Mining Engine. Data Model. Data Mining on User Data. Andrew Ruef. , Michael Hicks, Dave Levin, James Parker, Atif Memon, Jandelyn Plane, P. eter Mardziel. What’s the motivation?. What goes into secure software development?. How could we measure and contrast different styles/languages?. Formal . verification for. Java applications. Teodor. . Parvanov. May 26-27 ‘16, Sofia. 1. About me. I . currently work at VMware Bulgaria, working on standing up the fully automated Software-Defined Data . Motivation Security Performance Bibliography ParameterSelectioninRing-LWE-basedFullyHomomorphicEncryptionRachelPlayerInformationSecurityGroup,RoyalHolloway,UniversityofLondonbasedonjointworkswithMarti Fall 2015. Lars Ailo Bongo (larsab@cs.uit.no). Course topics. Parallel programming. The parallelization process. Optimization of parallel programs. Performance analysis. Data-intensive computing. Parallel programs.