parallel solver: various changes
- threading: adding btSequentialImpulseConstraintSolverMt - task scheduler: added parallelSum so that parallel solver can compute residuals - CommonRigidBodyMTBase: add slider for solver least squares residual and allow multithreading without needing OpenMP, TBB, or PPL - taskScheduler: don't wait for workers to sleep/signal at the end of each parallel block - parallel solver: convertContacts split into an allocContactConstraints and setupContactConstraints stage, the latter of which is done in parallel - parallel solver: rolling friction is now interleaved along with normal friction - parallel solver: batchified split impulse solving + some cleanup - parallel solver: sorting batches from largest to smallest - parallel solver: added parallel batch creation - parallel solver: added warmstartingWriteBackContacts func + other cleanup - task scheduler: truncate low bits to preserve determinism with parallelSum - parallel solver: reducing dynamic mem allocs and trying to parallelize more of the batch setup - parallel solver: parallelize updating constraint batch ids for merging - parallel solver: adding debug visualization - task scheduler: make TBB task scheduler parallelSum deterministic - parallel solver: split batch gen code into separate file; allow selection of batch gen method - task scheduler: add sleepWorkerThreadsHint() at end of simulation - parallel solver: added grain size per phase - task Scheduler: fix for strange threading issue; also no need for main thread to wait for workers to sleep - base constraint solver: break out joint setup into separate function for profiling/overriding - parallel solver: allow different batching method for contacts vs joints - base constraint solver: add convertJoint and convertBodies to make it possible to parallelize joint and body conversion - parallel solver: convert joints and bodies in parallel now - parallel solver: speed up batch creation with run-length encoding - parallel solver: batch gen: run-length expansion in parallel; collect constraint info in parallel - parallel solver: adding spatial grid batching method - parallel solver: enhancements to spatial grid batching - sequential solver: moving code for writing back into functions that derived classes can call - parallel solver: do write back of bodies and joints in parallel - parallel solver: removed all batching methods except for spatial grid (others were ineffective) - parallel solver: added 2D or 3D grid batching options; and a bit of cleanup - move btDefaultTaskScheduler into LinearMath project
This commit is contained in:
@@ -1,448 +0,0 @@
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#include "LinearMath/btTransform.h"
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#include "../Utils/b3Clock.h"
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#include "LinearMath/btAlignedObjectArray.h"
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#include "LinearMath/btThreads.h"
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#include "LinearMath/btQuickprof.h"
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#include <stdio.h>
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#include <algorithm>
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typedef void( *btThreadFunc )( void* userPtr, void* lsMemory );
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typedef void* ( *btThreadLocalStorageFunc )();
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#if BT_THREADSAFE
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#if defined( _WIN32 )
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#include "b3Win32ThreadSupport.h"
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b3ThreadSupportInterface* createThreadSupport( int numThreads, btThreadFunc threadFunc, btThreadLocalStorageFunc localStoreFunc, const char* uniqueName )
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{
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b3Win32ThreadSupport::Win32ThreadConstructionInfo constructionInfo( uniqueName, threadFunc, localStoreFunc, numThreads );
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//constructionInfo.m_priority = 0; // highest priority (the default) -- can cause erratic performance when numThreads > numCores
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// we don't want worker threads to be higher priority than the main thread or the main thread could get
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// totally shut out and unable to tell the workers to stop
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constructionInfo.m_priority = -1; // normal priority
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b3Win32ThreadSupport* threadSupport = new b3Win32ThreadSupport( constructionInfo );
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return threadSupport;
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}
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#else // #if defined( _WIN32 )
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#include "b3PosixThreadSupport.h"
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b3ThreadSupportInterface* createThreadSupport( int numThreads, btThreadFunc threadFunc, btThreadLocalStorageFunc localStoreFunc, const char* uniqueName)
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{
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b3PosixThreadSupport::ThreadConstructionInfo constructionInfo( uniqueName, threadFunc, localStoreFunc, numThreads );
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b3ThreadSupportInterface* threadSupport = new b3PosixThreadSupport( constructionInfo );
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return threadSupport;
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}
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#endif // #else // #if defined( _WIN32 )
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///
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/// getNumHardwareThreads()
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///
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///
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/// https://stackoverflow.com/questions/150355/programmatically-find-the-number-of-cores-on-a-machine
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///
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#if __cplusplus >= 201103L
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#include <thread>
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int getNumHardwareThreads()
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{
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return std::thread::hardware_concurrency();
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}
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#elif defined( _WIN32 )
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#define WIN32_LEAN_AND_MEAN
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#include <windows.h>
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int getNumHardwareThreads()
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{
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// caps out at 32
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SYSTEM_INFO info;
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GetSystemInfo( &info );
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return info.dwNumberOfProcessors;
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}
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#else
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int getNumHardwareThreads()
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{
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return 0; // don't know
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}
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#endif
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struct WorkerThreadStatus
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{
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enum Type
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{
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kInvalid,
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kWaitingForWork,
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kWorking,
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kSleeping,
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};
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};
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struct IJob
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{
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virtual void executeJob() = 0;
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};
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class ParallelForJob : public IJob
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{
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const btIParallelForBody* mBody;
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int mBegin;
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int mEnd;
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public:
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ParallelForJob()
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{
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mBody = NULL;
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mBegin = 0;
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mEnd = 0;
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}
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void init( int iBegin, int iEnd, const btIParallelForBody& body )
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{
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mBody = &body;
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mBegin = iBegin;
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mEnd = iEnd;
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}
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virtual void executeJob() BT_OVERRIDE
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{
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BT_PROFILE( "executeJob" );
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// call the functor body to do the work
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mBody->forLoop( mBegin, mEnd );
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}
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};
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struct JobContext
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{
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JobContext()
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{
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m_queueLock = NULL;
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m_headIndex = 0;
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m_tailIndex = 0;
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m_workersShouldCheckQueue = false;
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m_useSpinMutex = false;
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}
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b3CriticalSection* m_queueLock;
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btSpinMutex m_mutex;
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volatile bool m_workersShouldCheckQueue;
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btAlignedObjectArray<IJob*> m_jobQueue;
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bool m_queueIsEmpty;
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int m_tailIndex;
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int m_headIndex;
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bool m_useSpinMutex;
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void lockQueue()
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{
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if ( m_useSpinMutex )
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{
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m_mutex.lock();
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}
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else
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{
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m_queueLock->lock();
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}
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}
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void unlockQueue()
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{
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if ( m_useSpinMutex )
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{
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m_mutex.unlock();
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}
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else
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{
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m_queueLock->unlock();
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}
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}
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void clearQueue()
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{
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lockQueue();
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m_headIndex = 0;
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m_tailIndex = 0;
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m_queueIsEmpty = true;
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unlockQueue();
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m_jobQueue.resizeNoInitialize( 0 );
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}
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void submitJob( IJob* job )
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{
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m_jobQueue.push_back( job );
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lockQueue();
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m_tailIndex++;
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m_queueIsEmpty = false;
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unlockQueue();
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}
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IJob* consumeJob()
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{
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if ( m_queueIsEmpty )
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{
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// lock free path. even if this is taken erroneously it isn't harmful
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return NULL;
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}
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IJob* job = NULL;
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lockQueue();
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if ( !m_queueIsEmpty )
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{
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job = m_jobQueue[ m_headIndex++ ];
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if ( m_headIndex == m_tailIndex )
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{
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m_queueIsEmpty = true;
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}
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}
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unlockQueue();
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return job;
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}
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};
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struct WorkerThreadLocalStorage
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{
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int threadId;
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WorkerThreadStatus::Type status;
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};
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static void WorkerThreadFunc( void* userPtr, void* lsMemory )
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{
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BT_PROFILE( "WorkerThreadFunc" );
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WorkerThreadLocalStorage* localStorage = (WorkerThreadLocalStorage*) lsMemory;
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localStorage->status = WorkerThreadStatus::kWaitingForWork;
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//printf( "WorkerThreadFunc: worker %d start working\n", localStorage->threadId );
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JobContext* jobContext = (JobContext*) userPtr;
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while ( jobContext->m_workersShouldCheckQueue )
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{
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if ( IJob* job = jobContext->consumeJob() )
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{
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localStorage->status = WorkerThreadStatus::kWorking;
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job->executeJob();
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localStorage->status = WorkerThreadStatus::kWaitingForWork;
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}
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else
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{
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// todo: spin wait a bit to avoid hammering the empty queue
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}
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}
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//printf( "WorkerThreadFunc stop working\n" );
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localStorage->status = WorkerThreadStatus::kSleeping;
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// go idle
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}
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static void* WorkerThreadAllocFunc()
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{
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return new WorkerThreadLocalStorage;
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}
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class btTaskSchedulerDefault : public btITaskScheduler
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{
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JobContext m_jobContext;
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b3ThreadSupportInterface* m_threadSupport;
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btAlignedObjectArray<ParallelForJob> m_jobs;
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btSpinMutex m_antiNestingLock; // prevent nested parallel-for
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int m_numThreads;
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int m_numWorkerThreads;
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int m_numWorkersRunning;
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public:
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btTaskSchedulerDefault() : btITaskScheduler("ThreadSupport")
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{
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m_threadSupport = NULL;
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m_numThreads = getNumHardwareThreads();
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// if can't detect number of cores,
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if ( m_numThreads == 0 )
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{
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// take a guess
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m_numThreads = 4;
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}
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m_numWorkerThreads = m_numThreads - 1;
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m_numWorkersRunning = 0;
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}
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virtual ~btTaskSchedulerDefault()
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{
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shutdown();
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}
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void init()
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{
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int maxNumWorkerThreads = BT_MAX_THREAD_COUNT - 1;
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m_threadSupport = createThreadSupport( maxNumWorkerThreads, WorkerThreadFunc, WorkerThreadAllocFunc, "TaskScheduler" );
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m_jobContext.m_queueLock = m_threadSupport->createCriticalSection();
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for ( int i = 0; i < maxNumWorkerThreads; i++ )
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{
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WorkerThreadLocalStorage* storage = (WorkerThreadLocalStorage*) m_threadSupport->getThreadLocalMemory( i );
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btAssert( storage );
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storage->threadId = i;
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storage->status = WorkerThreadStatus::kSleeping;
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}
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setWorkersActive( false ); // no work for them yet
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}
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virtual void shutdown()
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{
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setWorkersActive( false );
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waitForWorkersToSleep();
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m_threadSupport->deleteCriticalSection( m_jobContext.m_queueLock );
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m_jobContext.m_queueLock = NULL;
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delete m_threadSupport;
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m_threadSupport = NULL;
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}
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void setWorkersActive( bool active )
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{
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m_jobContext.m_workersShouldCheckQueue = active;
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}
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virtual int getMaxNumThreads() const BT_OVERRIDE
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{
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return BT_MAX_THREAD_COUNT;
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}
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virtual int getNumThreads() const BT_OVERRIDE
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{
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return m_numThreads;
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}
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virtual void setNumThreads( int numThreads ) BT_OVERRIDE
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{
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m_numThreads = btMax( btMin(numThreads, int(BT_MAX_THREAD_COUNT)), 1 );
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m_numWorkerThreads = m_numThreads - 1;
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}
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void waitJobs()
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{
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BT_PROFILE( "waitJobs" );
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// have the main thread work until the job queue is empty
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for ( ;; )
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{
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if ( IJob* job = m_jobContext.consumeJob() )
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{
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job->executeJob();
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}
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else
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{
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break;
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}
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}
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// done with jobs for now, tell workers to rest
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setWorkersActive( false );
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waitForWorkersToSleep();
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}
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void wakeWorkers()
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{
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BT_PROFILE( "wakeWorkers" );
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btAssert( m_jobContext.m_workersShouldCheckQueue );
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// tell each worker thread to start working
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for ( int i = 0; i < m_numWorkerThreads; i++ )
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{
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m_threadSupport->runTask( B3_THREAD_SCHEDULE_TASK, &m_jobContext, i );
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m_numWorkersRunning++;
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}
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}
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void waitForWorkersToSleep()
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{
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BT_PROFILE( "waitForWorkersToSleep" );
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while ( m_numWorkersRunning > 0 )
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{
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int iThread;
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int threadStatus;
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m_threadSupport->waitForResponse( &iThread, &threadStatus ); // wait for worker threads to finish working
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m_numWorkersRunning--;
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}
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//m_threadSupport->waitForAllTasksToComplete();
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for ( int i = 0; i < m_numWorkerThreads; i++ )
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{
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//m_threadSupport->waitForTaskCompleted( i );
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WorkerThreadLocalStorage* storage = (WorkerThreadLocalStorage*) m_threadSupport->getThreadLocalMemory( i );
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btAssert( storage );
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btAssert( storage->status == WorkerThreadStatus::kSleeping );
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}
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}
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virtual void parallelFor( int iBegin, int iEnd, int grainSize, const btIParallelForBody& body ) BT_OVERRIDE
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{
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BT_PROFILE( "parallelFor_ThreadSupport" );
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btAssert( iEnd >= iBegin );
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btAssert( grainSize >= 1 );
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int iterationCount = iEnd - iBegin;
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if ( iterationCount > grainSize && m_numWorkerThreads > 0 && m_antiNestingLock.tryLock() )
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{
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int jobCount = ( iterationCount + grainSize - 1 ) / grainSize;
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btAssert( jobCount >= 2 ); // need more than one job for multithreading
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if ( jobCount > m_jobs.size() )
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{
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m_jobs.resize( jobCount );
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}
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if ( jobCount > m_jobContext.m_jobQueue.capacity() )
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{
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m_jobContext.m_jobQueue.reserve( jobCount );
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}
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m_jobContext.clearQueue();
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// prepare worker threads for incoming work
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setWorkersActive( true );
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wakeWorkers();
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// submit all of the jobs
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int iJob = 0;
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for ( int i = iBegin; i < iEnd; i += grainSize )
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{
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btAssert( iJob < jobCount );
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int iE = btMin( i + grainSize, iEnd );
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ParallelForJob& job = m_jobs[ iJob ];
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job.init( i, iE, body );
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m_jobContext.submitJob( &job );
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iJob++;
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}
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// put the main thread to work on emptying the job queue and then wait for all workers to finish
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waitJobs();
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m_antiNestingLock.unlock();
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}
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else
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{
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BT_PROFILE( "parallelFor_mainThread" );
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// just run on main thread
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body.forLoop( iBegin, iEnd );
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}
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}
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};
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btITaskScheduler* createDefaultTaskScheduler()
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{
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btTaskSchedulerDefault* ts = new btTaskSchedulerDefault();
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ts->init();
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return ts;
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}
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#else // #if BT_THREADSAFE
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btITaskScheduler* createDefaultTaskScheduler()
|
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{
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return NULL;
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||||
}
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#endif // #else // #if BT_THREADSAFE
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@@ -1,26 +0,0 @@
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/*
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||||
Copyright (c) 2003-2014 Erwin Coumans http://bullet.googlecode.com
|
||||
|
||||
This software is provided 'as-is', without any express or implied warranty.
|
||||
In no event will the authors be held liable for any damages arising from the use of this software.
|
||||
Permission is granted to anyone to use this software for any purpose,
|
||||
including commercial applications, and to alter it and redistribute it freely,
|
||||
subject to the following restrictions:
|
||||
|
||||
1. The origin of this software must not be misrepresented; you must not claim that you wrote the original software. If you use this software in a product, an acknowledgment in the product documentation would be appreciated but is not required.
|
||||
2. Altered source versions must be plainly marked as such, and must not be misrepresented as being the original software.
|
||||
3. This notice may not be removed or altered from any source distribution.
|
||||
*/
|
||||
|
||||
|
||||
|
||||
#ifndef BT_TASK_SCHEDULER_H
|
||||
#define BT_TASK_SCHEDULER_H
|
||||
|
||||
|
||||
class btITaskScheduler;
|
||||
|
||||
btITaskScheduler* createDefaultTaskScheduler();
|
||||
|
||||
|
||||
#endif // BT_TASK_SCHEDULER_H
|
||||
Reference in New Issue
Block a user