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137 lines
6.2 KiB
C++
137 lines
6.2 KiB
C++
/*
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* Copyright (c) 2000, 2015, Oracle and/or its affiliates. All rights reserved.
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* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
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*
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* This code is free software; you can redistribute it and/or modify it
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* under the terms of the GNU General Public License version 2 only, as
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* published by the Free Software Foundation.
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*
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* This code is distributed in the hope that it will be useful, but WITHOUT
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* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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* version 2 for more details (a copy is included in the LICENSE file that
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* accompanied this code).
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*
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* You should have received a copy of the GNU General Public License version
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* 2 along with this work; if not, write to the Free Software Foundation,
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* Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
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*
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* Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
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* or visit www.oracle.com if you need additional information or have any
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* questions.
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*
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*/
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#ifndef SHARE_VM_MEMORY_SHAREDHEAP_HPP
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#define SHARE_VM_MEMORY_SHAREDHEAP_HPP
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#include "gc_interface/collectedHeap.hpp"
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// A "SharedHeap" is an implementation of a java heap for HotSpot. This
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// is an abstract class: there may be many different kinds of heaps. This
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// class defines the functions that a heap must implement, and contains
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// infrastructure common to all heaps.
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// Note on use of FlexibleWorkGang's for GC.
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// There are three places where task completion is determined.
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// In
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// 1) ParallelTaskTerminator::offer_termination() where _n_threads
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// must be set to the correct value so that count of workers that
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// have offered termination will exactly match the number
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// working on the task. Tasks such as those derived from GCTask
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// use ParallelTaskTerminator's. Tasks that want load balancing
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// by work stealing use this method to gauge completion.
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// 2) SubTasksDone has a variable _n_threads that is used in
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// all_tasks_completed() to determine completion. all_tasks_complete()
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// counts the number of tasks that have been done and then reset
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// the SubTasksDone so that it can be used again. When the number of
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// tasks is set to the number of GC workers, then _n_threads must
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// be set to the number of active GC workers. G1RootProcessor and
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// GenCollectedHeap have SubTasksDone.
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// 3) SequentialSubTasksDone has an _n_threads that is used in
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// a way similar to SubTasksDone and has the same dependency on the
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// number of active GC workers. CompactibleFreeListSpace and Space
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// have SequentialSubTasksDone's.
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//
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// Examples of using SubTasksDone and SequentialSubTasksDone:
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// G1RootProcessor and GenCollectedHeap::process_roots() use
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// SubTasksDone* _process_strong_tasks to claim tasks for workers
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//
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// GenCollectedHeap::gen_process_roots() calls
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// rem_set()->younger_refs_iterate()
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// to scan the card table and which eventually calls down into
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// CardTableModRefBS::par_non_clean_card_iterate_work(). This method
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// uses SequentialSubTasksDone* _pst to claim tasks.
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// Both SubTasksDone and SequentialSubTasksDone call their method
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// all_tasks_completed() to count the number of GC workers that have
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// finished their work. That logic is "when all the workers are
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// finished the tasks are finished".
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//
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// The pattern that appears in the code is to set _n_threads
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// to a value > 1 before a task that you would like executed in parallel
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// and then to set it to 0 after that task has completed. A value of
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// 0 is a "special" value in set_n_threads() which translates to
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// setting _n_threads to 1.
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//
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// Some code uses _n_termination to decide if work should be done in
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// parallel. The notorious possibly_parallel_oops_do() in threads.cpp
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// is an example of such code. Look for variable "is_par" for other
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// examples.
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//
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// The active_workers is not reset to 0 after a parallel phase. It's
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// value may be used in later phases and in one instance at least
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// (the parallel remark) it has to be used (the parallel remark depends
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// on the partitioning done in the previous parallel scavenge).
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class SharedHeap : public CollectedHeap {
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friend class VMStructs;
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protected:
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// Full initialization is done in a concrete subtype's "initialize"
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// function.
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SharedHeap();
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public:
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// Note, the below comment needs to be updated to reflect the changes
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// introduced by JDK-8076225. This should be done as part of JDK-8076289.
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//
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//Some collectors will perform "process_strong_roots" in parallel.
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// Such a call will involve claiming some fine-grained tasks, such as
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// scanning of threads. To make this process simpler, we provide the
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// "strong_roots_parity()" method. Collectors that start parallel tasks
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// whose threads invoke "process_strong_roots" must
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// call "change_strong_roots_parity" in sequential code starting such a
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// task. (This also means that a parallel thread may only call
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// process_strong_roots once.)
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//
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// For calls to process_roots by sequential code, the parity is
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// updated automatically.
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//
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// The idea is that objects representing fine-grained tasks, such as
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// threads, will contain a "parity" field. A task will is claimed in the
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// current "process_roots" call only if its parity field is the
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// same as the "strong_roots_parity"; task claiming is accomplished by
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// updating the parity field to the strong_roots_parity with a CAS.
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//
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// If the client meats this spec, then strong_roots_parity() will have
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// the following properties:
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// a) to return a different value than was returned before the last
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// call to change_strong_roots_parity, and
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// c) to never return a distinguished value (zero) with which such
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// task-claiming variables may be initialized, to indicate "never
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// claimed".
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public:
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// Call these in sequential code around process_roots.
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// strong_roots_prologue calls change_strong_roots_parity, if
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// parallel tasks are enabled.
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class StrongRootsScope : public MarkingCodeBlobClosure::MarkScope {
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SharedHeap* _sh;
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public:
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StrongRootsScope(SharedHeap* heap, bool activate = true);
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~StrongRootsScope();
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};
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};
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#endif // SHARE_VM_MEMORY_SHAREDHEAP_HPP
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