Extractions: The Cilk Project Download Introduction Online Manual ... 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. The most recent release of Cilk is Cilk-5.3.2
Cilk-users Info Page cilkusers General discussion about Cilk This is an open list for general discussion about the cilk programming language. However, to post you must be a member of the list. http://lists.sourceforge.net/mailman/listinfo/cilk-users
Extractions: However, to post you must be a member of the list. To see the collection of prior postings to the list, visit the cilk-users Archives Using cilk-users To post a message to all the list members, send email to cilk-users@lists.sourceforge.net You can subscribe to the list, or change your existing subscription, in the sections below. Subscribing to cilk-users Subscribe to cilk-users by filling out the following form. You will be sent email requesting confirmation, to prevent others from gratuitously subscribing you. This is a hidden list, which means that the members list is available only to the list administrator. Your email address: You must enter a privacy password. This provides only mild security, but should prevent others from messing with your subscription. Do not use a valuable password as it will occasionally be emailed back to you in cleartext. Once a month, your password will be emailed to you as a reminder. Pick a password: Reenter password to confirm: Would you like to receive list mail batched in a daily digest?
Related Work approach 38 that leverages properties of the cilk programming model in order toimplement adaptive parallelism and fault tolerance simply and efficiently. http://www.usenix.org/publications/library/proceedings/ana97/full_papers/blumofe
Extractions: Next: Conclusion Up: Adaptive and Reliable Previous: Cilk-NOW macroscheduling Cilk-NOW is unique in delivering adaptive and reliable execution for parallel programs on networks of workstations. Traditionally, systems such as PVM [ ], TreadMarks [ ], and others [ ] that are designed to support parallel programs on networks of workstations have not provided adaptive parallelism or fault tolerance. On the other hand, most systems that do provide support for adaptive execution or fault tolerance take a "process-centric" approach. That is, they provide an abstraction of mobile processes and/or an abstraction of reliable processes. As such these systems are very general in their potential application, but they do not provide much support for parallel programs. In contrast, Cilk-NOW does provide support for parallel programs and it does provide adaptive parallelism and fault tolerance, but it does so only for the Cilk parallel programming model. Such specificity allows the Cilk-NOW design to take an end-to-end approach [ ] that leverages properties of the Cilk programming model in order to implement adaptive parallelism and fault tolerance simply and efficiently.
Untitled cilk programming Language Critique. by Minglun Qian http://www.manip.crhc.uiuc.edu/~m-qian/cilk_critique.html
Abstract - 1997 ANNUAL TECHNICAL CONFERENCE on endto-end design decisions, and we show how these decisions allow the designto exploit high-level algorithmic properties of the cilk programming model in http://www.usenix.org/publications/library/proceedings/ana97/blumofe.html
Extractions: on Networks of Workstations Robert D. Blumofe, University of Texas, and Philip A. Lisiecki, MIT In this paper, we present the design of Cilk-NOW , a runtime system that adaptively and reliably executes functional Cilk programs in parallel on a network of UNIX workstations. Cilk (pronounced "silk") is a parallel multithreaded extension of the C language, and all Cilk runtime systems employ a provably efficient thread-scheduling algorithm. Cilk-NOW is such a runtime system, and in addition, Cilk-NOW automatically delivers adaptive and reliable execution for a functional subset of Cilk programs. By adaptive execution, we mean that each Cilk program dynamically utilizes a changing set of otherwise-idle workstations. By reliable execution, we mean that the Cilk-NOW system as a whole and each executing Cilk program are able to tolerate machine and network faults. Cilk-NOW provides these features while programs remain fault oblivious , meaning that Cilk programmers need not code for fault tolerance. Throughout this paper, we focus on end-to-end design decisions, and we show how these decisions allow the design to exploit high-level algorithmic properties of the Cilk programming model in order to simplify and streamline the implementation.
Related Work endto-end approach 38 that leverages properties of the cilk programming model in order to implement adaptive parallelism and http://www.cs.utexas.edu/users/rdb/papers/USENIX97/node7.html
Extractions: Next: Conclusion Up: Adaptive and Reliable Previous: Cilk-NOW macroscheduling Cilk-NOW is unique in delivering adaptive and reliable execution for parallel programs on networks of workstations. Traditionally, systems such as PVM [ ], TreadMarks [ ], and others [ ] that are designed to support parallel programs on networks of workstations have not provided adaptive parallelism or fault tolerance. On the other hand, most systems that do provide support for adaptive execution or fault tolerance take a "process-centric" approach. That is, they provide an abstraction of mobile processes and/or an abstraction of reliable processes. As such these systems are very general in their potential application, but they do not provide much support for parallel programs. In contrast, Cilk-NOW does provide support for parallel programs and it does provide adaptive parallelism and fault tolerance, but it does so only for the Cilk parallel programming model. Such specificity allows the Cilk-NOW design to take an end-to-end approach [ ] that leverages properties of the Cilk programming model in order to implement adaptive parallelism and fault tolerance simply and efficiently.
Citations: Cient Multithreaded Runtime Moreover, structure in the cilk programming model facilitates theimplementation of adaptive parallelism and transparent . F4 http://citeseer.nj.nec.com/context/879806/0
Extractions: This paper is cited in the following contexts: Space-Efficient Scheduling of Multithreaded Computations - Blumofe, Leiserson (1998) (29 citations) Self-citation (Blumofe Leiserson) (Correct) ....by S 1 P and expected execution time bounded by O(T 1 P T# ) including scheduling overheads. Additionally , in contrast to Algorithm LDF, this thread stealing algorithm is e#cient with respect to communication. We have implemented this thread stealing algorithm in the runtime system for Cilk , a parallel multithreaded extension of the C language. By employing a provably e#cient scheduler, Cilk is able to deliver e#cient and predictable performance, guaranteed. Moreover , structure in the Cilk programming model facilitates the implementation of adaptive parallelism and transparent ....
1 Functional Programming And Parallel Computations Maybe the best known implementation is cilk programming language 6. Another exampleimmediately preceding authors work is Tsystem package which is developed http://glade.nmd.msu.ru/grace/papers/grace01-en/node1.html
Extractions: The idea to use functional programming features for parallel computations is old enough. The most important of these features is the fact that functions without side effects can be computed in arbitrary order, so a programmer is freed of a number of problems connected to computations synchronization. However, there is no program architecture that is generic enough, and the advantages of functional approach are compensated by programming style limitations which often are hardly compatible with traditional imperative programming languages. That is why a pure parallel graph reduction is primarily used for implementation of functional programming languages [ ]. Though parallel implementations of imperative programming languages using some functional programming features also exist. Maybe the best known implementation is Cilk programming language [ ]. Another example immediately preceding authors work is T-system package which is developed in Program Systems Institute of Russian Academy of Sciences [ ]. We should mention the following T-system features that are also peculiar to the technology described in this paper:
Extractions: Handouts are available in Postscript form. Handout #1: Course Information Handout #2: Course Outline Handout #3: Problem Set 1 Handout #4: Chapter 30 of Cormen, Leiserson, Rivest: Introduction to Algorithms (not available online). Handout #5: Guy E. Blelloch: Scan Primitives and Parallel Vector Models , Ph. D. thesis (not available online). Handout #6: Abhiram G. Ranade: How to emulate shared memory , (not available online). Handout #7: Pages 392396 and 439456 of Tom Leighton, Introduction to Parallel Algorithms and Architectures , (not available online). Handout #8: Blelloch, Leiserson, Maggs, Plaxton, Smith, Zagha, A Comparison of Sorting Algorithms for the Connection Machine CM-2 , (not available online). Reading: Chapter 28 of Cormen, Leiserson, Rivest: Introduction to Algorithms (not available online, not handed out). Handout #9: Lab 1 - Data-parallel lab Handout #10: Blelloch et al.: NESL User's Manual (available in the Nesl distribution) Handout #11: Guy E. Blelloch: NESL: A Nested Data-Parallel Language (available in the Nesl distribution) Handout #12: Problem Set 2 Handout #13: Gary L. Miller and John H. Reif:
15-740 Assignments All parts are due on the last day of class Friday, December 5. Theyare as follows Part I cilk programming Available in Postscript. http://www.cs.cmu.edu/afs/cs.cmu.edu/academic/class/15740-f97/www/assigns.html
Extractions: Notes on Assignments In the following, the term refers to the home directory for the course, namely /afs/cs.cmu.edu/academic/class/15740-f97/public The following information is in reverse order of assignment, i.e., the most recent assignment appears firsrt. 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 cuff.link for 3 or more processors), try running the test program as
Extractions: [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 http://beowulf.lcs.mit.edu Development of a Bezier curve and surface package for MITMatlab Guoxin Yu Iterative Lyapunov Equation Solver Using Alternate Direction Implicit Iteration Jing Li Development of a Parallel Orbit Propagation System Hareendra Yalamanchili, Irene Wilson, and Charles Coffing Parellelizing the Neural Network Based System Identification Toolbox James Cavalaris and Ahmed Shah Basic Binary Image Processing in MITMATLAB Chris Tserng Addition of a Multigrid Solver to MATLAB's PDE Toolbox Mike Thomas A Parallel Elliptic Grid Generator for Fluid Dynamics Computations Susan Essig and George Papaioanna RemoteCompute: Distributed Computing Christopher Wren and Scott Schneider PGAPack Toolbox for MITMatlab: A Parallel Genetic Algorithm Toolbox Kathryn Benedicto, Roopa Das, and Ovidiu Marina Fast Multipole Algorithm Joshua A Faber Using Parallel Genetic Algorithms to Find Hadamard Matrices Daniel Weber MitMatlab - PETSc Integration David Lovely MITMatlab Packages: cshift, eoshift, and getsection
Cilk Papers of the cilk5 Multithreaded Language by Matteo Frigo, Charles E. Leiserson, andKeith H. Randall. 1998 ACM SIGPLAN Conference on programming Language Design http://supertech.lcs.mit.edu/cilk/papers/
Extractions: Abstract: Cilk (pronounced "silk") is a C-based language for multithreaded parallel programming. Cilk makes it easy to program irregular parallel applications, especially as compared with data-parallel or message-passing programming systems. A Cilk programmer need not worry about protocols and load balancing, which are handled by Cilk's provably efficient runtime system. Many regular and irregular Cilk applications run nearly as fast on one processor as comparable C programs, and they scale well to... (Update)
SAL- Parallel - Programming Languages & Systems - Cilk cilk cilk is a language for multithreaded parallel programming based on ANSI C. cilkis designed for generalpurpose parallel programming, but it is especially http://sal.kachinatech.com/C/1/CILK.html
Extractions: Cilk 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. Current Version: License Type: GPL Home Site: http://supertech.lcs.mit.edu/cilk/ Source Code Availability: Yes Available Binary Packages: Targeted Platforms: Unix SMPs supporting Posix threads. Tested on GNU/Linux, IRIX, Digital Unix and Solaris/SPARC soon. Software/Hardware Requirements: None Other Links: None Mailing Lists/USENET News Groups: http://supertech.lcs.mit.edu/cilk/home/mailing-lists.html (Mailing list info) User Comments: See A Screen Shot? (Not Yet) SAL Home Parallel Computing Comments? SAL@KachinaTech.COM
Extractions: Most parallel programming languages are conventional or sequential programming languages with some parallel extensions. A compiler is a program that converts the source code written in a specific language into another format, eventually in assembly or machine code that a computer understands. For message-passing based distributed memory systems, "compilers" often map communication functions into prebuilt routines in communication libraries. Some systems listed here are basically communication libraries. However, they have their own integrated utilities and programming environments. Search SAL: Commercial, Shareware, GPL aCe a data-parallel computing environment designed to improve the adaptability of algorithms.
SpeedyGrl.com : Programming : CILK The US's 50 States; Time and TimeZones. programming cilk cilk Papers. Search This Site Google, Search WWW Search This Site. ON THIS SITE . http://www.speedygrl.com/p/11.html
Extractions: > ON THIS SITE :: Computing 101 :: All TopDomains online Downloads Free Shells Graphics Links ... Misc Comp Links :: Programming :: (there are over 70 programming languages here) C C++ LISP ... Miscellaneous Q's 2 :: Friends' Sites :: AntiOffline Deficiency.org Deviance.org Disgraced.org ... Spikeman.net :: Other Places :: Head of European Operations for The
ICFP Functional Programming Contest -- The Winners We have no hesitation in recommending cilk as the programming language of choicefor discriminating hackers, especially if your application needs support for http://www.ai.mit.edu/extra/icfp-contest/winners.html
Extractions: Reid Barton Chris Joerg Dan Adkins Martin Rinard Harald Prokop Don Dailey Matteo Frigo Charles Leiserson The judges felt the Cilk team made such a strong showing for several reasons: Expertise: The Cilk project has a lot of experience in game tournaments, having competed strongly in chess tournaments before. Parallelism: Cilk is a language designed for parallelism, and was able to exploit the tournament machine's four processors quite efficiently. The Cilk entry was the only entry that employed a really sophisticated parallel search algorithm. What the Cilk Pousse team delivered was a brutal search engine, that pumped out immense numbers of moves per second, similar to the strategies that produce championship chess programs. Organisation: At eight people, the Cilk Pousse team was the largest single team to enter, being comprised of two professors, one research engineer, one sysadmin, and four students (some graduate, some undergraduate, and even one local high-school student). ...and of course, general excellence and superior hacking.
