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<rdf:RDF xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"><channel rdf:about="https://www.bibsonomy.org/user/fmeyer/concurrency"><title>BibSonomy bookmarks for /user/fmeyer/concurrency</title><link>https://www.bibsonomy.org/user/fmeyer/concurrency</link><description>BibSonomy RSS Feed for /user/fmeyer/concurrency</description><items><rdf:Seq><rdf:li rdf:resource="http://www.malhar.net/sriram/kilim/"/><rdf:li rdf:resource="http://www.macs.hw.ac.uk/~dsg/gph/papers/html/Strategies/strategies.html"/><rdf:li rdf:resource="http://blog.isotoma.com/2008/05/some_thoughts_on_concurrency.html"/><rdf:li rdf:resource="http://www.doughellmann.com/articles/CompletelyDifferent-2007-10-multiprocessing/index.html"/><rdf:li rdf:resource="http://sourceforge.net/projects/high-scale-lib"/><rdf:li rdf:resource="http://dcl.mathcs.emory.edu/util/backport-util-concurrent/"/><rdf:li rdf:resource="http://gafter.blogspot.com/2006/11/thread-pool-puzzler.html"/><rdf:li rdf:resource="http://www.artima.com/cppsource/threads_meeting.html"/></rdf:Seq></items></channel><item rdf:about="http://www.malhar.net/sriram/kilim/"><title>Kilim</title><description>Kilim is a message-passing framwork for Java that provides ultra-lightweight threads and facilities for fast, safe, zero-copy messaging between these threads.</description><link>http://www.malhar.net/sriram/kilim/</link><dc:creator>fmeyer</dc:creator><dc:date>2008-06-20T14:29:39+02:00</dc:date><dc:subject>concurrency erlang java jvm messaging </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Kilim is a message-passing framwork for Java that provides ultra-lightweight threads and facilities for fast, safe, zero-copy messaging between these threads.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/concurrency"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/erlang"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/java"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/jvm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/messaging"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.macs.hw.ac.uk/~dsg/gph/papers/html/Strategies/strategies.html"><title>Algorithm + Strategy = Parallelism</title><description>The process of writing large parallel programs is complicated by the need to specify both the parallel behaviour of the program and the algorithm that is to be used to compute its result.</description><link>http://www.macs.hw.ac.uk/~dsg/gph/papers/html/Strategies/strategies.html</link><dc:creator>fmeyer</dc:creator><dc:date>2008-05-27T15:40:56+02:00</dc:date><dc:subject>algorithm algorithms computer concurrency haskell parallel parallelism programming </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;The process of writing large parallel programs is complicated by the need to specify both the parallel behaviour of the program and the algorithm that is to be used to compute its result.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/algorithm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/algorithms"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/computer"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/concurrency"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/haskell"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/parallel"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/parallelism"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/programming"/></rdf:Bag></taxo:topics></item><item rdf:about="http://blog.isotoma.com/2008/05/some_thoughts_on_concurrency.html"><title>Isotoma</title><description>In an earlier post Over on the Twisted blog, Duncan McGreggor has asked us to expand a bit on where we think Twisted may be lacking in it’s support for concurrency. I’m afraid this has turned into a meandering essay, since I needed to reference so muc</description><link>http://blog.isotoma.com/2008/05/some_thoughts_on_concurrency.html</link><dc:creator>fmeyer</dc:creator><dc:date>2008-05-18T02:43:44+02:00</dc:date><dc:subject>concurrency parallel programming python </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;In an earlier post Over on the Twisted blog, Duncan McGreggor has asked us to expand a bit on where we think Twisted may be lacking in it’s support for concurrency. I’m afraid this has turned into a meandering essay, since I needed to reference so muc&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/concurrency"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/parallel"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/programming"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/python"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.doughellmann.com/articles/CompletelyDifferent-2007-10-multiprocessing/index.html"><title>And Now For Something Completely Different, Oct. 2007</title><description>Has your multi-threaded application grown GILs? Take a look at these packages for easy-to-use process management and interprocess communication tools.</description><link>http://www.doughellmann.com/articles/CompletelyDifferent-2007-10-multiprocessing/index.html</link><dc:creator>fmeyer</dc:creator><dc:date>2008-05-18T02:42:28+02:00</dc:date><dc:subject>concurrency parallel programming python scaling threading </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Has your multi-threaded application grown GILs? Take a look at these packages for easy-to-use process management and interprocess communication tools.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/concurrency"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/parallel"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/programming"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/python"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/scaling"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/threading"/></rdf:Bag></taxo:topics></item><item rdf:about="http://sourceforge.net/projects/high-scale-lib"><title>SourceForge.net: Highly Scalable Java</title><description>A collection of Concurrent and Highly Scalable Utilities. These are intended as direct replacements for the java.util.* or java.util.concurrent.* collections but with better performance when many CPUs are using the collection concurrently.</description><link>http://sourceforge.net/projects/high-scale-lib</link><dc:creator>fmeyer</dc:creator><dc:date>2007-07-01T04:33:22+02:00</dc:date><dc:subject>collection collections concurrency java library performance scalability </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;A collection of Concurrent and Highly Scalable Utilities. These are intended as direct replacements for the java.util.* or java.util.concurrent.* collections but with better performance when many CPUs are using the collection concurrently.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/collection"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/collections"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/concurrency"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/java"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/library"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/performance"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/scalability"/></rdf:Bag></taxo:topics></item><item rdf:about="http://dcl.mathcs.emory.edu/util/backport-util-concurrent/"><title>backport-util-concurrent - Distributed Computing Laboratory, Emory University</title><description>This package is the backport of java.util.concurrent API, introduced in Java 5.0 and further refined in Java 6.0, to older Java platforms. The backport is based on public-domain sources from the JSR 166 CVS repository, the dl.util.concurrent package, and</description><link>http://dcl.mathcs.emory.edu/util/backport-util-concurrent/</link><dc:creator>fmeyer</dc:creator><dc:date>2007-06-29T19:09:57+02:00</dc:date><dc:subject>backport concurrency concurrent java library programming thread work </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;This package is the backport of java.util.concurrent API, introduced in Java 5.0 and further refined in Java 6.0, to older Java platforms. The backport is based on public-domain sources from the JSR 166 CVS repository, the dl.util.concurrent package, and&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/backport"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/concurrency"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/concurrent"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/java"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/library"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/programming"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/thread"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/work"/></rdf:Bag></taxo:topics></item><item rdf:about="http://gafter.blogspot.com/2006/11/thread-pool-puzzler.html"><title>Neal Gafter&#039;s blog: A Thread Pool Puzzler</title><description>I participated in the design and development of a couple of concurrency libraries for shared-memory multiprocessors long before such machines were popular. So when I started using java.util.concurrent I was already somewhat comfortable with the concepts.</description><link>http://gafter.blogspot.com/2006/11/thread-pool-puzzler.html</link><dc:creator>fmeyer</dc:creator><dc:date>2007-01-13T19:43:54+01:00</dc:date><dc:subject>Blogs Threads articles code compsci concurrency google java parallel programming threading tips </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;I participated in the design and development of a couple of concurrency libraries for shared-memory multiprocessors long before such machines were popular. So when I started using java.util.concurrent I was already somewhat comfortable with the concepts.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Blogs"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Threads"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/articles"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/code"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/compsci"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/concurrency"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/google"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/java"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/parallel"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/programming"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/threading"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/tips"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.artima.com/cppsource/threads_meeting.html"><title>Trip Report: Ad-Hoc Meeting on Threads in C++</title><description>The C++ standardization committee is hard at work standardizing threads for the next version of C++. Some members recently met to discuss the issues, and The C++ Source was there. Read on to learn what the world’s leading experts on concurrency are plan</description><link>http://www.artima.com/cppsource/threads_meeting.html</link><dc:creator>fmeyer</dc:creator><dc:date>2006-12-20T05:31:58+01:00</dc:date><dc:subject>C++ concurrency languages parallel programming threading threads </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;The C++ standardization committee is hard at work standardizing threads for the next version of C++. Some members recently met to discuss the issues, and The C++ Source was there. 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