What's the status of multicore programming in Haskell?

Question

What's the status of multicore programming in Haskell? What projects, tools, and libraries are available now? What experience reports have there been?

Answer 1

In the 2009-2010 period, the following things have happened:

2010 Q3: * Parallel futures for Haskell, in GHC.

2010 Q2:

• The Orc language, for concurrent job scheduling and scripting, was released.
• A new scalable thread event manager was merged into GHC.
• An improved approach to parallel sparks and strategies was developed.
• The Nikola EDSL for embedding GPU programs in Haskell was developed.
• The LLVM backend for GHC was merged in, with good performance improvements.

2010 Q1:

• ghc 6.12.x series: with parallel performance improvements
• Microsoft announces 2 years of funding to support commercial users of Parallel Haskell
• Google published their experience report on the use of Haskell
• Intel announced the Concurrent Collections for Haskell library, including scalability numbers -- scaling results for 32 and 48 cores
• Sun/Oracle bought us a machine and funded work on improving parallel performance.
• Recent updates to the status of Data Parallelism in Haskell
• MSR released ThreadScope, a graphical profiler for parallel Haskell programs
• The GHC runtime got extensively tuned for sparks and futures
• There was a good discussion on additional ways to improve parallel performance
• A collection of reading material on parallelism in Haskell to help you get started
• The Snap guys are getting 45k req/sec on their 4 way box, by using all the cores.
• Even the Erlang guys are taking notice.
• Meanwhile, there is work to make the IO manager more scalable -- now with a paper on the design :: PDF.
• We're out there teaching people too .. all .. over .. the ... place.
• Starling Software wrote about their real time, multicore financial trading system in Haskell.
• Ericsson published a parallel language for DSP based on, and written in Haskell
• Galois published an implementation of Orc, a concurrent workflow language, in Haskell.
• And a new library for fast regular, parallel arrays appeared
• And Haskell continues to do well on the quad-core shootout.
• Snap, a multicore-enabled scalable web server with great performance numbers
• haskell-torrent - benchmarking a mulitcore-enabled bittorrent client in Haskell
• Haskell code was published at Supercomputing 09 -- our first appearance at SC!