InfoQ Homepage Parallel Programming Content on InfoQ
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Parallel Programming Patterns: Data Parallelism
Ralph Johnson presents several data parallelism patterns, including related Java, C# and C++ libraries from Intel and Microsoft, comparing it with other forms of parallelism such as actor programming.
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Parallel Programming Patterns: Data Parallelism
Ralph Johnson presents several data parallelism patterns, including related libraries from Intel and Microsoft, comparing it with other forms of parallel programming such as actor programming.
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How to Think about Parallel Programming: Not!
Guy L. Steele Jr. believes that programmers should not think about parallelism, but languages should provide ways to transparently run tasks in parallel by supporting independence-based constructs.
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Panel: The Future of Programming Languages
Guy Steele, Douglas Crockford, Josh Bloch, Alex Payne, Bruce Tate, and Ted Neward (moderator) hold a discussion on the future of programming taking questions from the audience.
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Functional Approaches To Parallelism and Concurrency
Don Syme on functional languages features, showing why and when they are useful for parallel programming: simplicity, composability, immutability, lightweight reaction, translations, data parallelism.
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Death by Accidental Complexity
Ulf Wiger shows how concurrency can lead to accidental complexity if it is badly implemented in code, becoming a project’s point of failure. Wiger also advises on how concurrency should be addressed.
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Multicore Programming in Haskell
Simon Marlow explains through code samples what Haskell has to offer for concurrent programming through concurrent data structures and thread-based concurrency, and Haskell’s tools for parallelism.
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A Pattern Language for Parallel Programming
Ralph Johnson on a pattern language for parallel programming based on the following patterns: Structural, Computational, Parallel Algorithm Strategy, Implementation Strategy, and Concurrent Execution.
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Are We There Yet?
Rich Hickey advocates the reexamination of basic principles used today like state, identity, value, time, to create new constructs to deal with the massive parallelism and concurrency of the future.
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Multicore Programming in Erlang
Ulf Wiger shows typical Erlang programs, patterns that scale well on multicore and patterns that don't, profiling and debugging parallel applications and ensuring correct behaviour with QuickCheck.
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From Concurrent to Parallel
This presentation looks at how Java SE 7 will address the challenges of multi-processor systems and parallelism with extensions to the java.util.concurrent package.
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Taming Effects with Functional Programming
Simon Peyton-Jones advertises the need for programming purity achieved especially through use of functional languages and the increased attention given to functional programming.