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Elepar: Elemental Parallelism

Scalable Planning: Concurrent Actions from Elemental Thinking. More info and status HERE. Can these concurrent plans scale up to exploit ever larger collections of processors and/or services? As the world becomes flatter, communication speeds increase, organizations become decentralized, and processors become ubiquitous, Scalable Planning will help you master the trend toward increased concurrency which is here to stay. In addition to the papers cited in the bibliography here.

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Scalable Planning: Concurrent Actions from Elemental Thinking. More info and status HERE. Can these concurrent plans scale up to exploit ever larger collections of processors and/or services? As the world becomes flatter, communication speeds increase, organizations become decentralized, and processors become ubiquitous, Scalable Planning will help you master the trend toward increased concurrency which is here to stay. In addition to the papers cited in the bibliography here.
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Elepar: Elemental Parallelism | elepar.com Reviews

https://elepar.com

Scalable Planning: Concurrent Actions from Elemental Thinking. More info and status HERE. Can these concurrent plans scale up to exploit ever larger collections of processors and/or services? As the world becomes flatter, communication speeds increase, organizations become decentralized, and processors become ubiquitous, Scalable Planning will help you master the trend toward increased concurrency which is here to stay. In addition to the papers cited in the bibliography here.

INTERNAL PAGES

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elepar: creators and world leaders of ScalPL technology

http://www.elepar.com/products.html

L23: Tools for ScalPL. Although the diagrams for the Scalable Planning book were indeed constructed using the L23 frontend, final development and hardening for the retail market took a lower priority while writing the book. If a product like L23 might be useful for you, you can help its delivery to the market by registering your interest on our contact. Page - e.g. by signing up for the L23 mailing list. CDS: Cooperative Data Sharing. Page - e.g. by signing up for the CDS mailing list.

2

elepar: creators and world leaders of ScalPL technology

http://www.elepar.com/services.html

Seminars can be customized for the customer's needs. Topics include ScalPL (which includes a copy of the Scalable Planning book per person in the cost of the seminar), CDS (Cooperative Data Sharing), or other related matters. Please contact.

3

elepar: creator and world leader of ScalPL technology

http://www.elepar.com/resourcesbib.html

Elepar Technology Research Bibliography. Here is a list of published documents regarding SC, CDS, F-Nets, LGDF2, and LGDF, in reverse chronological order to permit easy access to newer papers. (Pointers to some Postscript versions are given, but because many of those documents are stored on other servers, these pointers may become invalid without warning.). Additionally, for those papers with "ACM":. And IEEE Computer Society. Back to Main Reference Links Page. CDS] D. C. DiNucci, "A Simple and E...Proce...

4

elepar: creators and world leaders of ScalPL technology

http://www.elepar.com/index.html

Scalable Planning: Concurrent Actions from Elemental Thinking. More info and status HERE. Can these concurrent plans scale up to exploit ever larger collections of processors and/or services? As the world becomes flatter, communication speeds increase, organizations become decentralized, and processors become ubiquitous, Scalable Planning will help you master the trend toward increased concurrency which is here to stay. In addition to the papers cited in the bibliography here.

5

elepar: creators and world leaders of ScalPL technology

http://www.elepar.com/scalableplanningbook.html

The book Scalable Planning: Concurrent Action from Elemental Thinking by David C. DiNucci can be purchased almost anywhere, including Amazon. And search inside options) or directly from the publisher. Use this link if you have a discount code. Available online at bookstores (e.g. Powell's. But it is not likely to be found on store shelves any time soon. For ordering through other channels: ISBN 978-1475211160, publisher CreateSpace, publication date May 9, 2012. Mostly related to book).

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SCN Research: Associates

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Shrubbery Networks, Inc.

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Main BLOGGER: 02/01/2005 - 03/01/2005

http://puliu.blogspot.com/2005_02_01_archive.html

This is Pop's BLOG, for his bad memory. Sunday, February 27, 2005. A constructor taking a single argument is by default an implicit conversion operator:. C(int i);/ constructor and implicit conversion operator. C = 5; / implicit conversion of 5 to a C object and. The compiler re-edits the above sample as if the programmer had written:. C=5;" transformed by the compiler into something like this:. C temp(5);/ temporary object instantiated,. C = temp; / assigned using operator =. Explicit String (int sz);.

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Elemental Parallelism: January 2014

http://elepar.blogspot.com/2014_01_01_archive.html

Methods for engineering correct, portable, performant, scalable software for concurrent environments (HPC, multicore, cloud, grid, distributed). Wednesday, January 29, 2014. ScalPL 1.1: A few enhancements to the book. This post was slightly edited on 1/30/14 to correct errors in the examples in part 4.]. 1 New Rule: Resource arrays allow any type for indices. In section 13.1.1 of the book (page 230), when introducing arrays, it says (in the second sentence):. In section 13.1.2 (page 232), I say t...Becau...

elepar.blogspot.com elepar.blogspot.com

Elemental Parallelism: Big Data, Map-Reduce, and ScalPL

http://elepar.blogspot.com/2014/03/big-data-map-reduce-and-scalpl.html

Methods for engineering correct, portable, performant, scalable software for concurrent environments (HPC, multicore, cloud, grid, distributed). Monday, March 03, 2014. Big Data, Map-Reduce, and ScalPL. There is Big Focus on Big Data these days, and specifically tools (like Hadoop. Possible High-Level Context for MapReduce. Before we get started with the MapReduce. The blocks (of course) may not be stored or indexed contiguously at some low level, but by the time the MapReduce. Indexed by key, and changi...

elepar.blogspot.com elepar.blogspot.com

Elemental Parallelism: Actors vs ScalPL tactics: Hidden state vs WYSIWYG

http://elepar.blogspot.com/2012/10/actors-vs-scalpl-tactics-hidden-state.html

Methods for engineering correct, portable, performant, scalable software for concurrent environments (HPC, multicore, cloud, grid, distributed). Friday, October 19, 2012. Actors vs ScalPL tactics: Hidden state vs WYSIWYG. I stumbled into a video. I did not consult much of the more extensive written documentation, like Hewitt's and/or Agha's books. So I do not pretend to be fully up on all aspects of this work.). Those are nice attributes. But they pale in comparison to what ScalPL. And the F-Nets model.

elepar.blogspot.com elepar.blogspot.com

Elemental Parallelism: Comparing ScalPL and Concurrent Collections (CnC)

http://elepar.blogspot.com/2014/04/comparing-scalpl-and-concurrent.html

Methods for engineering correct, portable, performant, scalable software for concurrent environments (HPC, multicore, cloud, grid, distributed). Tuesday, April 15, 2014. Comparing ScalPL and Concurrent Collections (CnC). The previous post here, showing a Cholesky decomposition in ScalPL. Together with previous posts here and in the book. CnC Cholesky diagram (See Knobe video). Brief description of CnC. ScalPL Cholesky strategy (see previous post). Some Comparisons with ScalPL. CnC does not allow update-i...

elepar.blogspot.com elepar.blogspot.com

Elemental Parallelism: March 2014

http://elepar.blogspot.com/2014_03_01_archive.html

Methods for engineering correct, portable, performant, scalable software for concurrent environments (HPC, multicore, cloud, grid, distributed). Saturday, March 22, 2014. Cholesky Factorization in ScalPL. And a NUMA implementation (Jeannot). It should be noted that the latter effectively computes the result in place, while the former apparently doesn't, but since data can be assumed to move between processors in both cases, the notion of being "in place" is not as clear as one might expect. Other use...

elepar.blogspot.com elepar.blogspot.com

Elemental Parallelism: April 2014

http://elepar.blogspot.com/2014_04_01_archive.html

Methods for engineering correct, portable, performant, scalable software for concurrent environments (HPC, multicore, cloud, grid, distributed). Tuesday, April 15, 2014. Comparing ScalPL and Concurrent Collections (CnC). The previous post here, showing a Cholesky decomposition in ScalPL. Together with previous posts here and in the book. CnC Cholesky diagram (See Knobe video). Brief description of CnC. ScalPL Cholesky strategy (see previous post). Some Comparisons with ScalPL. CnC does not allow update-i...

elepar.blogspot.com elepar.blogspot.com

Elemental Parallelism: June 2014

http://elepar.blogspot.com/2014_06_01_archive.html

Methods for engineering correct, portable, performant, scalable software for concurrent environments (HPC, multicore, cloud, grid, distributed). Sunday, June 29, 2014. Exciting new directions for ScalPL: Splatr. I haven't posted much over the last few months, in part because I have been working hard in an exciting new direction, and figured it would make more sense to organize and firm up some of those ideas before posting them here. In fact, I have been using a certain workshop. Many of these existing p...

elepar.blogspot.com elepar.blogspot.com

Elemental Parallelism: Exciting new directions for ScalPL: Splatr

http://elepar.blogspot.com/2014/06/exciting-new-directions-for-scalpl.html

Methods for engineering correct, portable, performant, scalable software for concurrent environments (HPC, multicore, cloud, grid, distributed). Sunday, June 29, 2014. Exciting new directions for ScalPL: Splatr. I haven't posted much over the last few months, in part because I have been working hard in an exciting new direction, and figured it would make more sense to organize and firm up some of those ideas before posting them here. In fact, I have been using a certain workshop. Many of these existing p...

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Elemental Parallelism

Methods for engineering correct, portable, performant, scalable software for concurrent environments (HPC, multicore, cloud, grid, distributed). Sunday, June 29, 2014. Exciting new directions for ScalPL: Splatr. I haven't posted much over the last few months, in part because I have been working hard in an exciting new direction, and figured it would make more sense to organize and firm up some of those ideas before posting them here. In fact, I have been using a certain workshop. Many of these existing p...

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Elepar: Elemental Parallelism

Scalable Planning: Concurrent Actions from Elemental Thinking. More info and status HERE. Can these concurrent plans scale up to exploit ever larger collections of processors and/or services? As the world becomes flatter, communication speeds increase, organizations become decentralized, and processors become ubiquitous, Scalable Planning will help you master the trend toward increased concurrency which is here to stay. In addition to the papers cited in the bibliography here.

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