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Lisp in Parallel : lparallel | (ql:quickload :lparallel)(ql:quickload :lparallel)
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Lisp in Parallel : lparallel | (ql:quickload :lparallel) | lparallel.org Reviews
https://lparallel.org
(ql:quickload :lparallel)
lparallel.org
preduce | Lisp in Parallel : lparallel
https://lparallel.org/preduce
Lisp in Parallel : lparallel. Key from-end start end initial-value parts recurse. Is a parallel version of. It chops up the input sequence into. Parts and, in parallel, calls. On each part. The. Partial results are then reduced again, either by. The default) or, if the. Argument is non-nil, by. The default value of. Is the number of worker threads (the number given to. Which may be overridden by the. Defpackage :example (:use :cl :lparallel) (in-package :example) (preduce ' #(1 2 3 4 5 6) :parts 2).
defpun | Lisp in Parallel : lparallel
https://lparallel.org/defpun
Lisp in Parallel : lparallel. Is often a natural way to add parallelism to an algorithm. The result of doing so may be disappointing, however. Consider the classic Fibonacci example:. Defpackage :example (:use :cl :lparallel) (in-package :example) (defun fib (n) (if ( n 2) n (let ( a (fib (- n 1) ) (b (fib (- n 2) ) ( a b) ) (defun pfib-slow (n) (if ( n 2) n (plet ( a (pfib-slow (- n 1) ) (b (pfib-slow (- n 2) ) ( a b) ). Living up to its name,. Is slow. Since. How do we fix this? In general it may not b...
Handling | Lisp in Parallel : lparallel
https://lparallel.org/handling
Lisp in Parallel : lparallel. Handling conditions in lparallel is done with. It is just like. Except that it handles conditions signaled from inside parallel tasks. Though one may be tempted to merge. With some shadowing magic, in general the handlers which need to reach inside tasks will not always match the handlers that are suitable for the current thread. It is also useful to explicitly flag asynchronous handlers that require thread-safe behavior. Then the debugger is invoked. Is false then the debug...
Kernel | Lisp in Parallel : lparallel
https://lparallel.org/api/kernel
Lisp in Parallel : lparallel. If true (the default), the debugger is invoked when an error goes unhandled inside a task, i.e. when the handlers established by `task-handler-bind’ (if any) do not handle it. If false, unhandled errors from tasks are automatically transferred to their parent thread (and/or any dependent threads) via the `transfer-error’ restart. This is for convenience — sometimes you wish to avoid N debugger popups arising from N errors in N worker threads. The current kernel, or nil.
Overview | Lisp in Parallel : lparallel
https://lparallel.org/overview
Lisp in Parallel : lparallel. Lparallel is a library for parallel programming in Common Lisp, featuring. A simple model of task submission with receiving queue. Constructs for expressing fine-grained parallelism. Asynchronous condition handling across thread boundaries. Parallel versions of map, reduce, sort, remove, and many others. Promises, futures, and delayed evaluation constructs. Computation trees for parallelizing interconnected tasks. Bounded and unbounded FIFO queues. High and low priority tasks.
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Kvardek Du: 2012-06
http://kvardek-du.kerno.org/2012_06_01_archive.html
Augmenting bordeaux-threads with atomic operations. Is a portability layer that defines a low-level API for programming shared-state concurrency: basic thread management, locks, timeouts, and condition variables. It has been ported to plenty of CL implementations: ABCL, Allegro CL, CLISP, Clozure CL, CMUCL, Corman Lisp, ECL, Lispworks, MCL, SBCL, and SCL. As such, it's an ubiquitous building block for useful higher-level libraries such as lparallel. I'll start with compare-and-swap (CAS), which is the mo...
p-cos blog: A Lisper's first impression of Julia
http://p-cos.blogspot.com/2014/07/a-lispers-first-impression-of-julia.html
Pascal Costanza's Highly Opinionated Blog. The views expressed in this blog are my own, and not those of my employer.). July 20, 2014. A Lisper's first impression of Julia. I have recently looked at Julia. A new programming language developed at MIT that promises to be a dynamic programming language that is suitable for scientific computing with a high-performance implementation. It is an interesting project that heavily borrows from Common Lisp. Is integrated with the Julia syntax. Julia is a Lisp-1.
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Lisp in Parallel : lparallel | (ql:quickload :lparallel)
Lisp in Parallel : lparallel. Lparallel-2.8.0 released. May 8, 2015. 8212; executes a given task inside each worker. 8212; determine if the current thread is a. Worker thread, and if so, obtain its assigned index. Lparallel-2.7.0 released. April 10, 2014. Added the ability to bind multiple values in. Plet ( x 1) ( y z) (values 2 3) ) ( x y z) ;= 6. With the same syntax as. For binding multiple values. Lparallel-2.6.0 released. October 27, 2013. Option is not used). June 15, 2013. May 30, 2013. Now aborts...
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