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1. Cilk Home Page
"Cilk is the superior programming tool of choice for discriminating hackers." Tournament Directors, ICFP'98

2. Cilk Pousse
Cilk Pousse is the winning program of the ICFP'98 Programming Contest

3. Programming Parallel Applications In Cilk (ResearchIndex)
Cilk pronounced silk is a C based language for multithreaded parallel programming. Cilk makes it easy to program irregular parallel applications

4. Cilk 3.0 (Alpha 1) Reference Manual (ResearchIndex)
This document describes Cilk an ANSI C based language and runtime system for multithreaded programming. Cilk is designed for computations with

5. Using Cilk To Write Multiprocessor Chess Programs (ResearchIndex)
This paper overviews the Cilk language, illustrating how Cilk supports the programming of parallel game tree search and other chess mechanisms

6. SAL- Parallel - Programming Languages Systems - Cilk
Cilk. Cilk is a language for multithreaded parallel programming based on ANSI C. Cilk is designed for generalpurpose parallel programming, but it

7. CILK A Multi-Threaded Programming System For Meta-Computers -
CILK A MultiThreaded Programming System for Meta-Computers. Authors Lawrence Snyder;

8. Cilk-users Info Page
This is an open list for general discussion about the cilk programming language. However, to post you must be a member of the list.

9. Cilk Vs MPIComparing Two Very Different Parallel Programming Styles
We measured the relative performance of two support systems for parallel programming on networks of workstations Cilk an extension of C with

10. SuperTech Home Page
We have a race detection tool for the cilk programming language called the Cilk Release, Oct. 12, 2004 The most recent release of Cilk is Cilk5.4.2
Home About SuperTech Group Members Projects ... Private
About SuperTech
The Supercomputing Technologies Group
The Supercomputing Technologies Group (SuperTech or SCT) is a research group in MIT 's Computer Science and Artificial Intelligence Laboratory . The SuperTech group investigates the technologies that support scalable high-performance computing, including hardware, software, and theory. The goal is to make scalable computing simpler, faster, and more effective. The group is currently engaged in a major effort to develop architectural and system-software support for unbounded transactional memory. The group also is studying adaptive computing, race detection, cache-oblivious algorithms, and distance-education technologies.
Research Support
Support for SuperTech research is provided in part by the National Science Foundation (NSF) under Grant ACI-0324974 and by the Singapore-MIT Alliance
Group Members

11. : Programming : CILK
Programming CILK . Cilk Papers (there are over 70 programming languageshere) C C++ LISP Perl HTML MUCH more ..
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  • 12. Matrix Multiplication Performance On Commodity Shared-Memory Multiprocessors
    The cilk programming environment remains an effective way of implementing thistype of algorithm, but the need for portability and a compiler upgrade route
    Search: Advanced Search Home Digital Library Site Map ... Parallel Computing in Electrical Engineering, International Conference on (PARELEC'04)   pp. 13-18 Matrix Multiplication Performance on Commodity Shared-Memory Multiprocessors G. Tsilikas , University of Essex, UK M. Fleury , University of Essex, UK Full Article Text: DOI Bookmark: Abstract Cache-oblivious algorithms for matrix multiplication are confirmed as an effective way of exploiting Intel architecture shared-memory multiprocessors. The performance also remains consistent across a wide range of matrix size. The Cilk programming environment remains an effective way of implementing this type of algorithm, but the need for portability and a compiler upgrade route mean that a portability library is a competitive alternative. The paper considers the interaction of matrix multiplication algorithms with the memory hierarchy, as well as multithreading across differing operating system variants and compilers. Back to Top Additional Information Citation:   G. Tsilikas, M. Fleury. "Matrix Multiplication Performance on Commodity Shared-Memory Multiprocessors,"

    13. Beowulf
    CILK a package that contains the cilk programming language which is a C extension.Simple commands like cilk, spawn, and sync should be added to the serial
    Low cost Supercomputing
    1 Beowulf
    Beowulf was the legendary sixth-century hero from a distant realm who freed the Danes of Heorot by destroying the oppressive monster Grendel. As a metaphor, ``Beowulf'' has been applied to a new strategy in high performance computing that exploits mass-market technologies to overcome the oppressive costs in time and money of super-computing [
    2 Ingredients for Beowulf
    2.1 Hardware
    Beowulf consists of a set of N Using a combination of switches, much larger configurations can be achieved on the order of a thousand nodes by connecting several routers in a tree structure. The total latency increase of such a big system is of less than a factor three.
    2.2 Software
    The most popular operating system on Beowulfs is Linux. A specific package based on Redhat called Extreme Linux is often used. A parallel software package is needed to use a Beowulf effectively. Examples are PVM (parallel virtual machine), MPI (message passing for interprocessor communication). Sterling et. al. [ ] use MPI. Since many groups already use a Beowulf new software appears, an example is CILK.

    14. 15-740 Assignments
    Part I cilk programming Available in Postscript. Note the following typographicerror Questions 4.2(e) and 4.2(f) refer to part (a) .
    15-740 Fall '97
    Notes on Assignments
    In the following, the term refers to the home directory for the course, namely /afs/ The following information is in reverse order of assignment, i.e., the most recent assignment appears firsrt.
    Assignment 6
    Assignment 6 will be handed out in three parts. All parts are due on the last day of class: Friday, December 5. They are as follows:
    • Part I: Cilk programming Available in Postscript
      • Note the following typographic error: Questions 4.2(e) and 4.2(f) refer to "part (a)". These should refer to "part (d)".
      • Instructions on installing CILK on your machine are available in Postscript
      • If your program crashes with the error message stating that malloc failing to allocate memory (this happened to Bruce on for 3 or more processors), try running the test program as
        testall -heap 512 -nproc 4
    • Part II: Directory-based cache coherence. Available in Postscript
      • Note that the fragment of the protocol described here extends the one presented in class (Nov. 24) by allowing a processor holding a shared block to get exclusive access.
    • Part III: Protocol verification with SMV Available in Postscript
      • The files for this part of the assignment are in the cache subdirectory.

    15. Guy Blelloch: Research
    In the early 90s we designed a parallel programming language called NESL has been adopted by other languages, such as the cilk programming language.
    Guy E. Blelloch : Research
    This page describes research that my students and I have been involved in.
    Adaptive Computation
    It is often the case that by slightly changing the input to an algorithm, the execution path will only change slightly. The idea of adaptive computation is to let the algorithm "adapt" to such small changes by only updating the part of the computation that is required to be updated. The idea is implemented by maintaining a dependence graph of the computation and using this graph to propagate changes. The propagation will both update the output and update the graph itself (so that it is ready for another change). We are interested both in techniques for maintaining the graph, and in proving bounds for how much needs to be updated for different algorithms. Our initial work in this area is described in the following paper.
    Graph and Index Compression
    • Daniel Blandford, Guy E. Blelloch, and Ian Kash.

    16. 18.337 Parallel Scientific Computing Lectures
    Lecture 8 (3/3) The cilk programming Language (Keith Randall); Lecture 9 (3/5)Cosine Transforms (Prof Strang); Lecture 10 (3/10) MITMatlab
    [Note: the 2003 lectures are part of the Singapore-MIT alliance, the class is on! the web pages are under development right now. They may be found temporarily on
    18.337/6.338 Parallel Scientific Computing Lectures
    Spring, 1998 Tuesday/Thursday 1:002:30 Prof. Alan Edelman
    Project Pages

    17. Cilk Pousse
    Home page of the first prize winners of the ICFP Functional programming Contest from MIT Laboratory for Computer Sciences.
    Cilk Pousse
    First Prize
    in the 1998 ICFP Functional Programming Contest went to Cilk Pousse, a program written in the Cilk multithreaded programming language being developed by the Supercomputing Technologies research group (SuperTech) of the MIT Laboratory for Computer Science (LCS). Although Cilk is not a functional language, it provides high-level linguistic abstractions for parallelism, and the contest was explicitly open to programs written in any language. (Half the entries were programmed in C.) The challenge task was to write a program to play the game of ``Pousse'', a variant of tic-tac-toe played on an N -by- N board. The programs competed on a 4-processor Pentium Pro machine running a Linux operating system. Teams had 72 hours to complete the programming. Almost 50 programs were entered into the contest. In the course of the competition, the Cilk Pousse program was undefeated in all games, even though in Pousse, the first player has a significant advantage. The First Prize citation recommends Cilk as ``the superior programming tool of choice for discriminating hackers.''

    18. The Cilk Project
    A language for multithreaded parallel programming based on ANSI C. Source code, manual, papers, and research into parallel chess programs.
    The Cilk Project SuperTech Home Download Introduction ... Papers
    Cilk is a language for multithreaded parallel programming based on ANSI C. Cilk is designed for general-purpose parallel programming, but it is especially effective for exploiting dynamic, highly asynchronous parallelism, which can be difficult to write in data-parallel or message-passing style. Using Cilk, our group has developed three world-class chess programs, StarTech, *Socrates, and Cilkchess. Cilk provides an effective platform for programming dense and sparse numerical algorithms, such as matrix factorization and N-body simulations, and we are working on other types of applications. Unlike many other multithreaded programming systems, Cilk is algorithmic, in that the runtime system employs a scheduler that allows the performance of programs to be estimated accurately based on abstract complexity measures. Click here for a brief introduction to Cilk. The Cilk-5.3.2 Reference Manual contains a programming guide with a short tutorial on the Cilk language.
    Latest Version
    The most recent release of Cilk is Cilk-5.3.2

    19. Programming Parallel Applications In Cilk (ResearchIndex)
    cilk pronounced silk is aC based language for multithreaded parallel programming.cilk makes it easy to program irregular parallel applications,

    20. Cilk Is A Multithreaded Programming Language Being Developed At
    The performance of a cilk program is mathematically guaranteed to scale up linearly Our implementation of cilk is efficient a parallel cilk program
    Cilk is a multithreaded programming language being developed at MIT. The Cilk language minimally extends C to allow programmers to specify the interactions among computational threads in a high-level fashion. Cilk's runtime system dynamically maps the computation onto available physical resources in a provably efficient fashion. The performance of a Cilk program is mathematically guaranteed to scale up linearly with the number of processors, as long as the application has sufficient parallelism and the architecture sufficient communication bandwidth. Moreover, Cilk provides a theoretical performance model based on ``Brent's theorem'' that allows a programmer to predict the performance of algorithms. Our implementation of Cilk is efficient: a parallel Cilk program ``scales down'' to run on a single processor with nearly the same efficiency as comparable C code, thereby removing a major barrier to parallel programming. In addition, Cilk provides a novel debugging tool called the ``Nondeterminator'' which guarantees to automatically find determinacy-race bugs in a parallel Cilk execution.

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