Parallel/Reading: Difference between revisions

Revision as of 12:02, 9 May 2024

Learning: Parallelism and concurrency

Note: you may want to read Parallelism vs. Concurrency, as the terms have historically been conflated.

Parallel and Concurrent Programming in Haskell - tutorial by Simon Marlow. Code available on GitHub
"Real World Haskell" chapter 24: an introduction to the most common forms of concurrent and parallel programming in GHC.
“A Tutorial on Parallel and Concurrent Programming in Haskell”, Peyton Jones and Singh. 2008, a Step by step guide to implicit and explicit parallelism in Haskell, and transactional memory
Improving concurrent Haskell performance
Deterministic Parallel Programming in Haskell : a tutorial in parallel programming, with sample code and exercises

See also Parallel/Research if you'd like to dig into the more research-oriented papers on Parallel Haskell

“Runtime Support for Multicore Haskell”, Marlow, Peyton Jones, Singh. 2009. Describes the architecture of the sparks and parallel GC
“Parallel Performance Tuning for Haskell”, Jones, Marlow, Singh, 2009 Introduces ThreadScope, and methodical parallel performance advice
“Harnessing the Multicores: Nested Data Parallelism in Haskell”, Peyton Jones, Leshchinkskiy, Keller, Chakravarty, 2008. the Barnes-Hut algorithm in Data Parallel Haskell
“Haskell on a Shared-Memory Multiprocessor”, Harris, Marlow, Peyton Jones, 2005 The original SMP runtime implementation paper
“Beautiful Concurrency”, Peyton Jones, O’Reilly 2007 Introduction to software transactional memory
“Composable memory transactions“, Harris, Marlow, Peyton Jones, and Herlihy, 2005 - Introduces composable software transactional memory
“Algorithm + Strategy = Parallelism”, Trinder, Hammond, Loidl, Peyton Jones, 1998. Introduces parallel sparks and strategies
“Concurrent Haskell”, Peyton Jones, Gordon, Finne, 1996. Introduces concurrent Haskell and forkIO.
“Tackling the Awkward Squad”, Peyton Jones, 2001. Classic introduction to concurrency in Haskell (and IO), and how to use MVars and Channels.

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