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This tutorial should be relevant to practitioners and researchers interested in enabling software to execute efficiently on parallel computers using higher-level parallel extensions to Java than threads and locks. All attendees will leave the tutorial with sufficient information to get started on writing HJ programs on their own. In addition, the semantic foundations and implementation techniques described in the tutorial will be useful for language designers and implementers (who may be interested in implementing similar parallel extensions in other serial languages or on other target architectures), as well as to application and library programmers (who may be interested in building robust parallel software frameworks on top of HJlib). Being a pedagogic programming model, HJlib is also an attractive tool for educators with numerous educational resources available from the sophomore-level COMP 322 course offered at Rice University.
The prerequisite knowledge assumed is familiarity with the foundations of sequential programming and with the basics of object-oriented programming as embodied in Java or C++. No parallel programming experience is assumed as a prerequisite.
Biography:
Shams Imam is a fifth-year graduate student in the Department of Computer Science at Rice University working under Prof. Vivek Sarkar in the Habanero Multicore Software Research Project. His research interests mostly include Parallel Programming Models and Runtime Systems with the aim to make writing task parallel programs on multicore machines easier for programmers. His currently work involves building a generic framework that efficiently supports all synchronization patterns, not only those available in actors or the fork-join model, in task parallel programs. His previous research includes work on developing an efficient implementation of a programming model integrating both Actors and Fork-Join parallel models. At Rice, he is currently involved in building a cooperative runtime for Habanero-Java. Previously, he has been involved in projects such as Habanero-Scala, CnC-Scala, CnC-Matlab, and CnC-Python.
Vivek Sarkar is the E.D. Butcher Professor of Computer Science at
Rice University. He conducts research in programming languages, program analysis, compiler optimizations and virtual machines for parallel and high performance computer systems, and currently leads the Habanero Multicore Software Research project at Rice (www.habanero.rice.edu). Prior to joining Rice, he was Senior Manager of Programming Technologies at IBM Research. His past projects at IBM include the X10 programming language, the Jikes Research Virtual Machine for the Java language, the ASTI optimizer used in IBM's XL Fortran product compilers, the PTRAN automatic parallelization system, and profile-directed partitioning and scheduling of Sisal programs. In 1997, he was on sabbatical as a visiting associate professor at MIT, where he was a founding member of the MIT RAW project. Vivek holds a B.Tech. degree from the Indian Institute of Technology, Kanpur, an M.S. degree from University of Wisconsin-Madison, and a Ph.D. from Stanford University. Vivek was elected to the IBM Academy of Technology in 1995, and inducted as an ACM Fellow in 2008. He has given tutorials at several past conferences including PLDI 1993, POPL 1996, ASPLOS 1996, PLDI 2000, OOPSLA 2003, ECOOP 2004, OOPSLA 2006, PPoPP 2007, PLDI 2007, PLDI 2008, and has also taught many short courses and full-length courses.
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