/* Part of SWI-Prolog Author: Jan Wielemaker E-mail: J.Wielemaker@vu.nl WWW: http://www.swi-prolog.org Copyright (C): 2002-2013, University of Amsterdam VU University Amsterdam This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU Lesser General Public License along with this library; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA As a special exception, if you link this library with other files, compiled with a Free Software compiler, to produce an executable, this library does not by itself cause the resulting executable to be covered by the GNU General Public License. This exception does not however invalidate any other reasons why the executable file might be covered by the GNU General Public License. */ :- module(thread, [ concurrent/3, % +Threads, :Goals, +Options concurrent_maplist/2, % :Goal, +List concurrent_maplist/3, % :Goal, ?List1, ?List2 concurrent_maplist/4, % :Goal, ?List1, ?List2, ?List3 first_solution/3 % -Var, :Goals, +Options ]). :- use_module(library(debug)). :- use_module(library(error)). :- use_module(library(lists)). :- use_module(library(apply)). %:- debug(concurrent). :- meta_predicate concurrent(+, :, +), concurrent_maplist(1, +), concurrent_maplist(2, ?, ?), concurrent_maplist(3, ?, ?, ?), first_solution(-, :, +). :- predicate_options(concurrent/3, 3, [ pass_to(system:thread_create/3, 3) ]). :- predicate_options(first_solution/3, 3, [ on_fail(oneof([stop,continue])), on_error(oneof([stop,continue])), pass_to(system:thread_create/3, 3) ]). /** High level thread primitives This module defines simple to use predicates for running goals concurrently. Where the core multi-threaded API is targeted at communicating long-living threads, the predicates here are defined to run goals concurrently without having to deal with thread creation and maintenance explicitely. Note that these predicates run goals concurrently and therefore these goals need to be thread-safe. As the predicates in this module also abort branches of the computation that are no longer needed, predicates that have side-effect must act properly. In a nutshell, this has the following consequences: * Nice clean Prolog code without side-effects (but with cut) works fine. * Side-effects are bad news. If you really need assert to store intermediate results, use the thread_local/1 declaration. This also guarantees cleanup of left-over clauses if the thread is cancelled. For other side-effects, make sure to use call_cleanup/2 to undo them should the thread be cancelled. * Global variables are ok as they are thread-local and destroyed on thread cancellation. Note however that global variables in the calling thread are *not* available in the threads that are created. You have to pass the value as an argument and initialise the variable in the new thread. * Thread-cancellation uses thread_signal/2. Using this code with long-blocking foreign predicates may result in long delays, even if another thread asks for cancellation. @author Jan Wielemaker */ %% concurrent(+N, :Goals, Options) is semidet. % % Run Goals in parallel using N threads. This call blocks until % all work has been done. The Goals must be independent. They % should not communicate using shared variables or any form of % global data. All Goals must be thread-safe. % % Execution succeeds if all goals have succeeded. If one goal % fails or throws an exception, other workers are abandoned as % soon as possible and the entire computation fails or re-throws % the exception. Note that if multiple goals fail or raise an % error it is not defined which error or failure is reported. % % On successful completion, variable bindings are returned. Note % however that threads have independent stacks and therefore the % goal is copied to the worker thread and the result is copied % back to the caller of concurrent/3. % % Choosing the right number of threads is not always obvious. Here % are some scenarios: % % * If the goals are CPU intensive and normally all succeeding, % typically the number of CPUs is the optimal number of % threads. Less does not use all CPUs, more wastes time in % context switches and also uses more memory. % % * If the tasks are I/O bound the number of threads is % typically higher than the number of CPUs. % % * If one or more of the goals may fail or produce an errors, % using a higher number of threads may find this earlier. % % @param N Number of worker-threads to create. Using 1, no threads % are created. If N is larger than the number of Goals we % create exactly as many threads as there are Goals. % @param Goals List of callable terms. % @param Options Passed to thread_create/3 for creating the % workers. Only options changing the stack-sizes can % be used. In particular, do not pass the detached or alias % options. % @see In many cases, concurrent_maplist/2 and friends % is easier to program and is tractable to program % analysis. concurrent(1, M:List, _) :- !, maplist(M:call, List). concurrent(N, M:List, Options) :- must_be(positive_integer, N), must_be(list(callable), List), length(List, JobCount), message_queue_create(Done), message_queue_create(Queue), WorkerCount is min(N, JobCount), create_workers(WorkerCount, Queue, Done, Workers, Options), submit_goals(List, 1, M, Queue, VarList), forall(between(1, WorkerCount, _), thread_send_message(Queue, done)), VT =.. [vars|VarList], concur_wait(JobCount, Done, VT, Result, Exitted), subtract(Workers, Exitted, RemainingWorkers), concur_cleanup(Result, RemainingWorkers, [Queue, Done]), ( Result == true -> true ; Result = false -> fail ; Result = exception(Error) -> throw(Error) ). %% submit_goals(+List, +Id0, +Module, +Queue, -Vars) is det. % % Send all jobs from List to Queue. Each goal is added to Queue as % a term goal(Id, Goal, Vars). Vars is unified with a list of % lists of free variables appearing in each goal. submit_goals([], _, _, _, []). submit_goals([H|T], I, M, Queue, [Vars|VT]) :- term_variables(H, Vars), thread_send_message(Queue, goal(I, M:H, Vars)), I2 is I + 1, submit_goals(T, I2, M, Queue, VT). %% concur_wait(+N, +Done:queue, +VT:compound, -Result, -Exitted) is semidet. % % Wait for completion, failure or error. % % @param Exited List of thread-ids with threads that completed before % all work was done. concur_wait(0, _, _, true, []) :- !. concur_wait(N, Done, VT, Status, Exitted) :- debug(concurrent, 'Waiting: ...', []), thread_get_message(Done, Exit), debug(concurrent, 'Waiting: received ~p', [Exit]), ( Exit = done(Id, Vars) -> arg(Id, VT, Vars), N2 is N - 1, concur_wait(N2, Done, VT, Status, Exitted) ; Exit = finished(Thread) -> thread_join(Thread, JoinStatus), debug(concurrent, 'Joined ~w with ~p', [Thread, JoinStatus]), ( JoinStatus == true -> Exitted = [Thread|Exitted2], concur_wait(N, Done, VT, Status, Exitted2) ; Status = JoinStatus, Exitted = [Thread] ) ). create_workers(N, Queue, Done, [Id|Ids], Options) :- N > 0, !, thread_create(worker(Queue, Done), Id, [ at_exit(thread_send_message(Done, finished(Id))) | Options ]), N2 is N - 1, create_workers(N2, Queue, Done, Ids, Options). create_workers(_, _, _, [], _). %% worker(+WorkQueue, +DoneQueue) is det. % % Process jobs from WorkQueue and send the results to DoneQueue. worker(Queue, Done) :- thread_get_message(Queue, Message), debug(concurrent, 'Worker: received ~p', [Message]), ( Message = goal(Id, Goal, Vars) -> ( Goal -> thread_send_message(Done, done(Id, Vars)), worker(Queue, Done) ) ; true ). %% concur_cleanup(+Result, +Workers:list, +Queues:list) is det. % % Cleanup the concurrent workers and message queues. If Result is % not =true=, signal all workers to make them stop prematurely. If % result is true we assume all workers have been instructed to % stop or have stopped themselves. concur_cleanup(Result, Workers, Queues) :- !, ( Result == true -> true ; kill_workers(Workers) ), join_all(Workers), maplist(message_queue_destroy, Queues). kill_workers([]). kill_workers([Id|T]) :- debug(concurrent, 'Signalling ~w', [Id]), catch(thread_signal(Id, throw(abort)), _, true), kill_workers(T). join_all([]). join_all([Id|T]) :- thread_join(Id, _), join_all(T). /******************************* * MAPLIST * *******************************/ %% concurrent_maplist(:Goal, +List). %% concurrent_maplist(:Goal, +List1, +List2). %% concurrent_maplist(:Goal, +List1, +List2, +List3). % % Concurrent version of maplist/2. This predicate uses % concurrent/3, using multiple _worker_ threads. The number of % threads is the minimum of the list length and the number of % cores available. The number of cores is determined using the % prolog flag =cpu_count=. If this flag is absent or 1 or List has % less than two elements, this predicate simply calls the % corresponding maplist/N version. % % Note that the the overhead of this predicate is considerable and % therefore Goal must be fairly expensive before one reaches a % speedup. concurrent_maplist(Goal, List) :- workers(List, WorkerCount), !, maplist(ml_goal(Goal), List, Goals), concurrent(WorkerCount, Goals, []). concurrent_maplist(Goal, List) :- maplist(Goal, List). ml_goal(Goal, Elem, call(Goal, Elem)). concurrent_maplist(Goal, List1, List2) :- same_length(List1, List2), workers(List1, WorkerCount), !, maplist(ml_goal(Goal), List1, List2, Goals), concurrent(WorkerCount, Goals, []). concurrent_maplist(Goal, List1, List2) :- maplist(Goal, List1, List2). ml_goal(Goal, Elem1, Elem2, call(Goal, Elem1, Elem2)). concurrent_maplist(Goal, List1, List2, List3) :- same_length(List1, List2, List3), workers(List1, WorkerCount), !, maplist(ml_goal(Goal), List1, List2, List3, Goals), concurrent(WorkerCount, Goals, []). concurrent_maplist(Goal, List1, List2, List3) :- maplist(Goal, List1, List2, List3). ml_goal(Goal, Elem1, Elem2, Elem3, call(Goal, Elem1, Elem2, Elem3)). workers(List, Count) :- current_prolog_flag(cpu_count, Cores), Cores > 1, length(List, Len), Count is min(Cores,Len), Count > 1, !. same_length([], [], []). same_length([_|T1], [_|T2], [_|T3]) :- same_length(T1, T2, T3). /******************************* * FIRST * *******************************/ %% first_solution(-X, :Goals, +Options) is semidet. % % Try alternative solvers concurrently, returning the first % answer. In a typical scenario, solving any of the goals in Goals % is satisfactory for the application to continue. As soon as one % of the tried alternatives is successful, all the others are % killed and first_solution/3 succeeds. % % For example, if it is unclear whether it is better to search a % graph breadth-first or depth-first we can use: % % == % search_graph(Grap, Path) :- % first_solution(Path, [ breadth_first(Graph, Path), % depth_first(Graph, Path) % ]). % == % % Options include thread stack-sizes passed to thread_create, as % well as the options =on_fail= and =on_error= that specify what % to do if a solver fails or triggers an error. By default % exection of all solvers is terminated and the result is % returned. Sometimes one may wish to continue. One such scenario % is if one of the solvers may run out of resources or one of the % solvers is known to be incomplete. % % * on_fail(Action) % If =stop= (default), terminate all threads and stop with % the failure. If =continue=, keep waiting. % * on_error(Action) % As above, re-throwing the error if an error appears. % % @bug first_solution/3 cannot deal with non-determinism. There % is no obvious way to fit non-determinism into it. If multiple % solutions are needed wrap the solvers in findall/3. first_solution(X, M:List, Options) :- message_queue_create(Done), thread_options(Options, ThreadOptions, RestOptions), length(List, JobCount), create_solvers(List, M, X, Done, Solvers, ThreadOptions), wait_for_one(JobCount, Done, Result, RestOptions), concur_cleanup(kill, Solvers, [Done]), ( Result = done(_, Var) -> X = Var ; Result = error(_, Error) -> throw(Error) ). create_solvers([], _, _, _, [], _). create_solvers([H|T], M, X, Done, [Id|IDs], Options) :- thread_create(solve(M:H, X, Done), Id, Options), create_solvers(T, M, X, Done, IDs, Options). solve(Goal, Var, Queue) :- thread_self(Me), ( catch(Goal, E, true) -> ( var(E) -> thread_send_message(Queue, done(Me, Var)) ; thread_send_message(Queue, error(Me, E)) ) ; thread_send_message(Queue, failed(Me)) ). wait_for_one(0, _, failed, _) :- !. wait_for_one(JobCount, Queue, Result, Options) :- thread_get_message(Queue, Msg), LeftCount is JobCount - 1, ( Msg = done(_, _) -> Result = Msg ; Msg = failed(_) -> ( option(on_fail(stop), Options, stop) -> Result = Msg ; wait_for_one(LeftCount, Queue, Result, Options) ) ; Msg = error(_, _) -> ( option(on_error(stop), Options, stop) -> Result = Msg ; wait_for_one(LeftCount, Queue, Result, Options) ) ). %% thread_options(+Options, -ThreadOptions, -RestOptions) is det. % % Split the option list over thread(-size) options and other % options. thread_options([], [], []). thread_options([H|T], [H|Th], O) :- thread_option(H), !, thread_options(T, Th, O). thread_options([H|T], Th, [H|O]) :- thread_options(T, Th, O). thread_option(local(_)). thread_option(global(_)). thread_option(trail(_)). thread_option(argument(_)). thread_option(stack(_)).