From 2b80300d3dced25425beda645bb717a01112ed1e Mon Sep 17 00:00:00 2001 From: computablee Date: Sun, 5 Nov 2023 12:55:45 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20computab?= =?UTF-8?q?lee/DotMP@92e1688fd063540d7628e224f98034b02475e0e1=20?= =?UTF-8?q?=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- Iter_8cs.html => Schedule_8cs.html | 10 +- Scheduler_8cs.html | 93 ------------- Init_8cs.html => WorkShare_8cs.html | 4 +- annotated.html | 39 +++--- classDotMP_1_1DynamicScheduler.html | 2 +- classDotMP_1_1GuidedScheduler.html | 2 +- classDotMP_1_1Iter-members.html | 82 ------------ classDotMP_1_1Iter.html | 155 ---------------------- classDotMP_1_1Parallel.html | 4 +- classDotMP_1_1RuntimeScheduler.html | 2 +- classDotMP_1_1Schedule.html | 2 +- classDotMP_1_1StaticScheduler.html | 2 +- classDotMP_1_1Thr.html | 2 +- classDotMP_1_1WorkShare-members.html | 23 ++-- classDotMP_1_1WorkShare.html | 45 ++++++- classes.html | 2 +- dir_4a31fc671ab19711f8db470b224634b3.html | 8 +- files.html | 23 ++-- functions_func.html | 2 +- functions_p.html | 2 +- functions_s.html | 6 +- hierarchy.html | 23 ++-- index.html | 36 ++--- inherit_graph_10.map | 2 +- inherit_graph_10.md5 | 2 +- inherit_graph_10.png | Bin 1312 -> 1651 bytes inherit_graph_11.map | 2 +- inherit_graph_11.md5 | 2 +- inherit_graph_11.png | Bin 1651 -> 2037 bytes inherit_graph_12.map | 3 +- inherit_graph_12.md5 | 2 +- inherit_graph_12.png | Bin 2037 -> 4087 bytes inherit_graph_13.map | 3 +- inherit_graph_13.md5 | 2 +- inherit_graph_13.png | Bin 4087 -> 2106 bytes inherit_graph_14.map | 2 +- inherit_graph_14.md5 | 2 +- inherit_graph_14.png | Bin 2106 -> 1528 bytes inherit_graph_15.map | 2 +- inherit_graph_15.md5 | 2 +- inherit_graph_15.png | Bin 1528 -> 1153 bytes inherit_graph_16.map | 2 +- inherit_graph_16.md5 | 2 +- inherit_graph_16.png | Bin 1153 -> 1925 bytes inherit_graph_17.map | 2 +- inherit_graph_17.md5 | 2 +- inherit_graph_17.png | Bin 1925 -> 1587 bytes inherit_graph_18.map | 3 - 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Classes

interface  DotMP.IScheduler
 Interface for user-defined schedulers. More...
 
class  DotMP.Schedule
 Represents the various scheduling strategies for parallel for loops. Detailed explanations of each scheduling strategy are provided alongside each getter. If no schedule is specified, the default is Schedule.Static. More...
 
class  DotMP.RuntimeScheduler
 Placeholder for the runtime scheduler. Is not meant to be called directly. The Parallel.FixArgs method should detect its existence and swap it out for another scheduler with implementations. More...
 
class  DotMP.Iter
 Contains all of the scheduling code for parallel for loops. More...
 
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interface  DotMP.IScheduler
 Interface for user-defined schedulers. More...
 
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diff --git a/annotated.html b/annotated.html index 67fe92aa..042f68d9 100644 --- a/annotated.html +++ b/annotated.html @@ -77,26 +77,25 @@ - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + +
 CInvalidArgumentsExceptionException thrown if invalid arguments are specified to DotMP functions
 CRegionContains relevant internal information about parallel regions, including the threads and the function to be executed. Provides a region-wide lock and SpinWait objects for each thread
 CForkedRegionContains the Region object and controls for creating and starting a parallel region
 CThrEncapsulates a Thread object with information about its progress through a parallel for loop. For keeping track of its progress through a parallel for loop, we keep track of the current next iteration of the loop to be worked on, and the iteration the current thread is currently working on
 CWorkShareContains all relevant information about a parallel for loop. Contains a collection of Thr objects, the loop's start and end iterations, the chunk size, the number of threads, and the number of threads that have completed their work
 CScheduleRepresents the various scheduling strategies for parallel for loops. Detailed explanations of each scheduling strategy are provided alongside each getter. If no schedule is specified, the default is Schedule.Static
 CStaticSchedulerImplementation of static scheduling
 CDynamicSchedulerImplementation of dynamic scheduling
 CGuidedSchedulerImplementation of guided scheduling
 CRuntimeSchedulerPlaceholder for the runtime scheduler. Is not meant to be called directly. The Parallel.FixArgs method should detect its existence and swap it out for another scheduler with implementations
 CIterContains all of the scheduling code for parallel for loops
 CLockA lock that can be used in a parallel region. Also contains instance methods for locking. Available methods are Set, Unset, and Test
 CParallelThe main class of DotMP. Contains all the main methods for parallelism. For users, this is the main class you want to worry about, along with Lock, Shared, and Atomic
 CISchedulerInterface for user-defined schedulers
 CSectionsContainerStatic class that contains necessary information for sections. Sections allow for the user to submit multiple actions to be executed in parallel. A sections region contains a collection of actions to be executed, specified as Parallel.Section directives. More information can be found in the Parallel.Sections documentation
 CSharedA shared variable that can be used in a parallel region. This allows for a variable to be declared inside of a parallel region that is shared among all threads, which has some nice use cases
 CSharedEnumerableA specialization of Shared for items that can be indexed with square brackets. The DotMP-parallelized Conjugate Gradient example shows this off fairly well inside of the SpMV function
 CTaskingContainerA simple container for a Queue<Action> for managing tasks. Will grow in complexity as dependencies are added and a dependency graph must be generated
 CTaskUUIDTask UUID as returned from Parallel.Task
 CForActionClass encapsulating all of the possible callbacks in a Parallel.For-style loop. This includes Parallel.For, Parallel.ForReduction<T>, Parallel.ForCollapse, and Parallel.ForReductionCollapse<T>
 ▼NDotMPTests
 CParallelTestsTests for the DotMP library
 CSerialCustom scheduler which runs a for loop in serial
 CLockA lock that can be used in a parallel region. Also contains instance methods for locking. Available methods are Set, Unset, and Test
 CParallelThe main class of DotMP. Contains all the main methods for parallelism. For users, this is the main class you want to worry about, along with Lock, Shared, and Atomic
 CISchedulerInterface for user-defined schedulers
 CScheduleRepresents the various scheduling strategies for parallel for loops. Detailed explanations of each scheduling strategy are provided alongside each getter. If no schedule is specified, the default is Schedule.Static
 CStaticSchedulerImplementation of static scheduling
 CDynamicSchedulerImplementation of dynamic scheduling
 CGuidedSchedulerImplementation of guided scheduling
 CRuntimeSchedulerPlaceholder for the runtime scheduler. Is not meant to be called directly. The Parallel.FixArgs method should detect its existence and swap it out for another scheduler with implementations
 CSectionsContainerStatic class that contains necessary information for sections. Sections allow for the user to submit multiple actions to be executed in parallel. A sections region contains a collection of actions to be executed, specified as Parallel.Section directives. More information can be found in the Parallel.Sections documentation
 CSharedA shared variable that can be used in a parallel region. This allows for a variable to be declared inside of a parallel region that is shared among all threads, which has some nice use cases
 CSharedEnumerableA specialization of Shared for items that can be indexed with square brackets. The DotMP-parallelized Conjugate Gradient example shows this off fairly well inside of the SpMV function
 CTaskingContainerA simple container for a Queue<Action> for managing tasks. Will grow in complexity as dependencies are added and a dependency graph must be generated
 CTaskUUIDTask UUID as returned from Parallel.Task
 CThrEncapsulates a Thread object with information about its progress through a parallel for loop. For keeping track of its progress through a parallel for loop, we keep track of the current next iteration of the loop to be worked on, and the iteration the current thread is currently working on
 CWorkShareContains all relevant information about a parallel for loop. Contains a collection of Thr objects, the loop's start and end iterations, the chunk size, the number of threads, and the number of threads that have completed their work
 CForActionClass encapsulating all of the possible callbacks in a Parallel.For-style loop. This includes Parallel.For, Parallel.ForReduction<T>, Parallel.ForCollapse, and Parallel.ForReductionCollapse<T>
 ▼NDotMPTests
 CParallelTestsTests for the DotMP library
 CSerialCustom scheduler which runs a for loop in serial
diff --git a/classDotMP_1_1DynamicScheduler.html b/classDotMP_1_1DynamicScheduler.html index eae44877..3c85472c 100644 --- a/classDotMP_1_1DynamicScheduler.html +++ b/classDotMP_1_1DynamicScheduler.html @@ -356,7 +356,7 @@

Iter.cs +
  • DotMP/Schedule.cs
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    Iter.cs +
  • DotMP/Schedule.cs
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    This is the complete list of members for DotMP.Iter, including all inherited members.

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    PerformLoop< T >(WorkShare ws, IScheduler scheduler, ForAction< T > forAction)DotMP.Iterinlinepackagestatic
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    Contains all of the scheduling code for parallel for loops. - More...

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    static void PerformLoop< T > (WorkShare ws, IScheduler scheduler, ForAction< T > forAction)
     Performs a parallel for loop according to the scheduling policy provided. More...
     
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    Contains all of the scheduling code for parallel for loops.

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    ◆ PerformLoop< T >()

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    Performs a parallel for loop according to the scheduling policy provided.

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    TThe type of reductions, if applicable.
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    wsThe workshare singleton.
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    forActionThe function to be executed.
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    Static Public Member Functions

    static void For (int start, int end, Action< int > action, IScheduler schedule=null, uint? chunk_size=null) - Creates a for loop inside a parallel region. A for loop created with For inside of a parallel region is executed in parallel, with iterations being distributed among the threads, and potentially out-of-order. A schedule is provided to inform the runtime how to distribute iterations of the loop to threads. Available schedules are specified by the Schedule enum, and have detailed documentation in the Iter class. Acts as an implicit Barrier(). More...
    + Creates a for loop inside a parallel region. A for loop created with For inside of a parallel region is executed in parallel, with iterations being distributed among the threads, and potentially out-of-order. A schedule is provided to inform the runtime how to distribute iterations of the loop to threads. Available schedules are specified by the Schedule enum, and have detailed documentation in the Iter class. Acts as an implicit Barrier(). More...
      static void ForCollapse ((int, int) firstRange,(int, int) secondRange, Action< int, int > action, IScheduler schedule=null, uint? chunk_size=null)  Creates a collapsed for loop inside a parallel region. A collapsed for loop can be used when you want to parallelize two or more nested for loops. Instead of only parallelizing across the outermost loop, the nested loops are flattened before scheduling, which has the effect of parallelizing across both loops. This has the effect multiplying the number of iterations the scheduler can work with, which can improve load balancing in irregular nested loops. More...
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    Creates a for loop inside a parallel region. A for loop created with For inside of a parallel region is executed in parallel, with iterations being distributed among the threads, and potentially out-of-order. A schedule is provided to inform the runtime how to distribute iterations of the loop to threads. Available schedules are specified by the Schedule enum, and have detailed documentation in the Iter class. Acts as an implicit Barrier().

    +

    Creates a for loop inside a parallel region. A for loop created with For inside of a parallel region is executed in parallel, with iterations being distributed among the threads, and potentially out-of-order. A schedule is provided to inform the runtime how to distribute iterations of the loop to threads. Available schedules are specified by the Schedule enum, and have detailed documentation in the Iter class. Acts as an implicit Barrier().

    Parameters
    diff --git a/classDotMP_1_1RuntimeScheduler.html b/classDotMP_1_1RuntimeScheduler.html index 6c35a0a4..8e6c3d41 100644 --- a/classDotMP_1_1RuntimeScheduler.html +++ b/classDotMP_1_1RuntimeScheduler.html @@ -255,7 +255,7 @@

    Iter.cs +
  • DotMP/Schedule.cs
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    Iter.cs +
  • DotMP/Schedule.cs
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    Init.cs +
  • DotMP/WorkShare.cs
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    startThe start of the loop, inclusive.
    in_for_pvDotMP.WorkShareprivatestatic
    num_threadsDotMP.WorkSharepackage
    opDotMP.WorkSharepackage
    reduction_listDotMP.WorkShareprivatestatic
    reduction_valuesDotMP.WorkSharepackage
    scheduleDotMP.WorkSharepackage
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    SetLocal< T >(ref T local)DotMP.WorkShareinlinepackage
    startDotMP.WorkSharepackage
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    threadDotMP.WorkSharepackage
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    WorkShare(uint num_threads, Thread[] threads, int start, int end, uint chunk_size, Operations? op, IScheduler schedule)DotMP.WorkShareinlinepackage
    WorkShare()DotMP.WorkShareinlinepackage
    PerformLoop< T >(ForAction< T > forAction)DotMP.WorkShareinlinepackage
    reduction_listDotMP.WorkShareprivatestatic
    reduction_valuesDotMP.WorkSharepackage
    scheduleDotMP.WorkSharepackage
    schedule_pvDotMP.WorkShareprivatestatic
    SetLocal< T >(ref T local)DotMP.WorkShareinlinepackage
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    WorkShare(uint num_threads, Thread[] threads, int start, int end, uint chunk_size, Operations? op, IScheduler schedule)DotMP.WorkShareinlinepackage
    WorkShare()DotMP.WorkShareinlinepackage
    diff --git a/classDotMP_1_1WorkShare.html b/classDotMP_1_1WorkShare.html index 92b35c49..70426810 100644 --- a/classDotMP_1_1WorkShare.html +++ b/classDotMP_1_1WorkShare.html @@ -102,6 +102,9 @@ void SetLocal< T > (ref T local)  Sets the local variable to the appropriate value based on the operation for parallel for reduction loops. For addition and subtraction, the initial starting value is 0. For multiplication, the initial starting value is 1. For binary And, the initial starting value is the bitwise negation of 0. For binary Or and Xor, the initial starting value is 0. For boolean And, the initial starting value is true. For boolean Or, the initial starting value is false. For min, the initial starting value is int.MaxValue. For max, the initial starting value is int.MinValue. More...
      +void PerformLoop< T > (ForAction< T > forAction) + Performs a parallel for loop according to the scheduling policy provided. More...
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    ◆ PerformLoop< T >()

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    Properties

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    void DotMP.WorkShare.PerformLoop< T > (ForAction< T > forAction)
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    Performs a parallel for loop according to the scheduling policy provided.

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    TThe type of reductions, if applicable.
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    forActionThe function to be executed.
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    GuidedScheduler (DotMP)

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    Lock (DotMP)
    diff --git a/dir_4a31fc671ab19711f8db470b224634b3.html b/dir_4a31fc671ab19711f8db470b224634b3.html index 0cfb9c1f..62e141f3 100644 --- a/dir_4a31fc671ab19711f8db470b224634b3.html +++ b/dir_4a31fc671ab19711f8db470b224634b3.html @@ -80,17 +80,13 @@   file  ForkedRegion.cs   -file  Init.cs -  -file  Iter.cs -  file  Lock.cs   file  Operations.cs   file  Parallel.cs   -file  Scheduler.cs +file  Schedule.cs   file  Sections.cs   @@ -98,6 +94,8 @@   file  Tasking.cs   +file  WorkShare.cs +  file  Wrappers.cs   diff --git a/files.html b/files.html index 2aa18a0e..6193e7b2 100644 --- a/files.html +++ b/files.html @@ -72,18 +72,17 @@  DependencyGraph.cs  Exceptions.cs  ForkedRegion.cs - Init.cs - Iter.cs - Lock.cs - Operations.cs - Parallel.cs - Scheduler.cs - Sections.cs - Shared.cs - Tasking.cs - Wrappers.cs - ▼ DotMP-Tests - ParallelTests.cs + Lock.cs + Operations.cs + Parallel.cs + Schedule.cs + Sections.cs + Shared.cs + Tasking.cs + WorkShare.cs + Wrappers.cs + ▼ DotMP-Tests + ParallelTests.cs diff --git a/functions_func.html b/functions_func.html index d077cd4f..9716e5e6 100644 --- a/functions_func.html +++ b/functions_func.html @@ -418,7 +418,7 @@

    - p -

    diff --git a/functions_p.html b/functions_p.html index 3fe74672..a97196ea 100644 --- a/functions_p.html +++ b/functions_p.html @@ -101,7 +101,7 @@

    - p -

    diff --git a/functions_s.html b/functions_s.html index 2da255e1..d7488165 100644 --- a/functions_s.html +++ b/functions_s.html @@ -119,12 +119,12 @@

    - s -

    • SetNumThreads() : DotMP.Parallel
      • -
    • Shared() -: DotMP.Shared< T > -
    • shared : DotMP.Shared< T >
      • +
    • Shared() +: DotMP.Shared< T > +
    • Shared_works() : DotMPTests.ParallelTests
      • diff --git a/hierarchy.html b/hierarchy.html index ad92455c..527575a4 100644 --- a/hierarchy.html +++ b/hierarchy.html @@ -89,18 +89,17 @@  CDotMP.RuntimeSchedulerPlaceholder for the runtime scheduler. Is not meant to be called directly. The Parallel.FixArgs method should detect its existence and swap it out for another scheduler with implementations  CDotMP.StaticSchedulerImplementation of static scheduling  CDotMPTests.SerialCustom scheduler which runs a for loop in serial - CDotMP.IterContains all of the scheduling code for parallel for loops - CDotMP.LockA lock that can be used in a parallel region. Also contains instance methods for locking. Available methods are Set, Unset, and Test - CDotMP.ParallelThe main class of DotMP. Contains all the main methods for parallelism. For users, this is the main class you want to worry about, along with Lock, Shared, and Atomic - CDotMPTests.ParallelTestsTests for the DotMP library - CDotMP.RegionContains relevant internal information about parallel regions, including the threads and the function to be executed. Provides a region-wide lock and SpinWait objects for each thread - CDotMP.SectionsContainerStatic class that contains necessary information for sections. Sections allow for the user to submit multiple actions to be executed in parallel. A sections region contains a collection of actions to be executed, specified as Parallel.Section directives. More information can be found in the Parallel.Sections documentation - ▼CDotMP.Shared< U > - CDotMP.SharedEnumerable< T, U >A specialization of Shared for items that can be indexed with square brackets. The DotMP-parallelized Conjugate Gradient example shows this off fairly well inside of the SpMV function - CDotMP.TaskingContainerA simple container for a Queue<Action> for managing tasks. Will grow in complexity as dependencies are added and a dependency graph must be generated - CDotMP.TaskUUIDTask UUID as returned from Parallel.Task - CDotMP.ThrEncapsulates a Thread object with information about its progress through a parallel for loop. For keeping track of its progress through a parallel for loop, we keep track of the current next iteration of the loop to be worked on, and the iteration the current thread is currently working on - CDotMP.WorkShareContains all relevant information about a parallel for loop. Contains a collection of Thr objects, the loop's start and end iterations, the chunk size, the number of threads, and the number of threads that have completed their work + CDotMP.LockA lock that can be used in a parallel region. Also contains instance methods for locking. Available methods are Set, Unset, and Test + CDotMP.ParallelThe main class of DotMP. Contains all the main methods for parallelism. For users, this is the main class you want to worry about, along with Lock, Shared, and Atomic + CDotMPTests.ParallelTestsTests for the DotMP library + CDotMP.RegionContains relevant internal information about parallel regions, including the threads and the function to be executed. Provides a region-wide lock and SpinWait objects for each thread + CDotMP.SectionsContainerStatic class that contains necessary information for sections. Sections allow for the user to submit multiple actions to be executed in parallel. A sections region contains a collection of actions to be executed, specified as Parallel.Section directives. More information can be found in the Parallel.Sections documentation + ▼CDotMP.Shared< U > + CDotMP.SharedEnumerable< T, U >A specialization of Shared for items that can be indexed with square brackets. The DotMP-parallelized Conjugate Gradient example shows this off fairly well inside of the SpMV function + CDotMP.TaskingContainerA simple container for a Queue<Action> for managing tasks. Will grow in complexity as dependencies are added and a dependency graph must be generated + CDotMP.TaskUUIDTask UUID as returned from Parallel.Task + CDotMP.ThrEncapsulates a Thread object with information about its progress through a parallel for loop. For keeping track of its progress through a parallel for loop, we keep track of the current next iteration of the loop to be worked on, and the iteration the current thread is currently working on + CDotMP.WorkShareContains all relevant information about a parallel for loop. Contains a collection of Thr objects, the loop's start and end iterations, the chunk size, the number of threads, and the number of threads that have completed their work diff --git a/index.html b/index.html index 48095444..c5fd8ab9 100644 --- a/index.html +++ b/index.html @@ -102,7 +102,7 @@

      work();
      });
      DotMP.Parallel
      The main class of DotMP. Contains all the main methods for parallelism. For users,...
      Definition: Parallel.cs:13
      -
      DotMP.Parallel.ParallelRegion
      static void ParallelRegion(Action action, uint? num_threads=null)
      Creates a parallel region. The body of a parallel region is executed by as many threads as specified ...
      Definition: Parallel.cs:553
      +
      DotMP.Parallel.ParallelRegion
      static void ParallelRegion(Action action, uint? num_threads=null)
      Creates a parallel region. The body of a parallel region is executed by as many threads as specified ...
      Definition: Parallel.cs:552
      DotMP
      Definition: Atomic.cs:4

      This function supports the num_threads optional parameter, which sets the number of threads to spawn. The default value is the number of logical threads on the system.

      @@ -115,7 +115,7 @@

      DotMP provides:

      DotMP.Parallel.For(a, b, i => {
      work(i);
      });
      -
      DotMP.Parallel.For
      static void For(int start, int end, Action< int > action, IScheduler schedule=null, uint? chunk_size=null)
      Creates a for loop inside a parallel region. A for loop created with For inside of a parallel region ...
      Definition: Parallel.cs:160
      +
      DotMP.Parallel.For
      static void For(int start, int end, Action< int > action, IScheduler schedule=null, uint? chunk_size=null)
      Creates a for loop inside a parallel region. A for loop created with For inside of a parallel region ...
      Definition: Parallel.cs:159

      This function supports the schedule optional parameter, which sets the parallel scheduler to use. Permissible values are DotMP.Schedule.Static, DotMP.Schedule.Dynamic, DotMP.Schedule.Guided, and DotMP.Schedule.Runtime. The default value is DotMP.Schedule.Static.

      This function supports the chunk_size optional parameter, which sets the chunk size for the scheduler to use. The default value is dependent on the scheduler and is not documented, as it may change from version to version.

      The behavior of DotMP.Parallel.For is undefined if not used within a ParallelRegion.

      @@ -129,7 +129,7 @@

      DotMP provides:

      DotMP.Parallel.ParallelFor(a, b, i => {
      work(i);
      });
      -
      DotMP.Parallel.ParallelFor
      static void ParallelFor(int start, int end, Action< int > action, IScheduler schedule=null, uint? chunk_size=null, uint? num_threads=null)
      Creates a parallel for loop. Contains all of the parameters from ParallelRegion() and For()....
      Definition: Parallel.cs:587
      +
      DotMP.Parallel.ParallelFor
      static void ParallelFor(int start, int end, Action< int > action, IScheduler schedule=null, uint? chunk_size=null, uint? num_threads=null)
      Creates a parallel for loop. Contains all of the parameters from ParallelRegion() and For()....
      Definition: Parallel.cs:586

      This function supports all of the optional parameters of ParallelRegion and For, and is merely a wrapper around those two functions for conciseness.

      For with Reduction

      @@ -174,7 +174,7 @@

      (i, j, /* ... */, k) => {
      work(i, j, /* ... */, k);
      });
      -
      DotMP.Parallel.ForCollapse
      static void ForCollapse((int, int) firstRange,(int, int) secondRange, Action< int, int > action, IScheduler schedule=null, uint? chunk_size=null)
      Creates a collapsed for loop inside a parallel region. A collapsed for loop can be used when you want...
      Definition: Parallel.cs:183
      +
      DotMP.Parallel.ForCollapse
      static void ForCollapse((int, int) firstRange,(int, int) secondRange, Action< int, int > action, IScheduler schedule=null, uint? chunk_size=null)
      Creates a collapsed for loop inside a parallel region. A collapsed for loop can be used when you want...
      Definition: Parallel.cs:182

      If four or fewer loops are being collapsed, overloads of ForCollapse exist to easily collapse said loops. If greater than four loops are being collapsed, then the user should pass an array of tuples as the first argument, and accept an array of indices in the lambda.

      This function supports all of the optional parameters of For.

      @@ -206,7 +206,7 @@

      (i, j, /* ... */, k) => {
      work(i, j, /* ... */, k);
      });
      -
      DotMP.Parallel.ParallelForCollapse
      static void ParallelForCollapse((int, int) firstRange,(int, int) secondRange, Action< int, int > action, IScheduler schedule=null, uint? chunk_size=null, uint? num_threads=null)
      Creates a parallel collapsed for loop. Contains all of the parameters from ParallelRegion() and ForCo...
      Definition: Parallel.cs:634
      +
      DotMP.Parallel.ParallelForCollapse
      static void ParallelForCollapse((int, int) firstRange,(int, int) secondRange, Action< int, int > action, IScheduler schedule=null, uint? chunk_size=null, uint? num_threads=null)
      Creates a parallel collapsed for loop. Contains all of the parameters from ParallelRegion() and ForCo...
      Definition: Parallel.cs:633

      This function supports all of the optional parameters of ParallelRegion and ForCollapse, and is merely a wrapper around those two functions for conciseness.

      Parallel For with Reduction and Collapse

      @@ -243,7 +243,7 @@

      }, () => {
      work2();
      });
      -
      DotMP.Parallel.Sections
      static void Sections(params Action[] actions)
      Creates a sections region. Sections allows for the user to submit multiple, individual tasks to be di...
      Definition: Parallel.cs:819
      +
      DotMP.Parallel.Sections
      static void Sections(params Action[] actions)
      Creates a sections region. Sections allows for the user to submit multiple, individual tasks to be di...
      Definition: Parallel.cs:818

      Parallel Sections

      Given the OpenMP:

      #pragma omp parallel sections
      @@ -262,7 +262,7 @@

      }, () => {
      work2();
      });
      -
      DotMP.Parallel.ParallelSections
      static void ParallelSections(uint? num_threads=null, params Action[] actions)
      Creates a parallel sections region. Contains all of the parameters from ParallelRegion() and Sections...
      Definition: Parallel.cs:1002
      +
      DotMP.Parallel.ParallelSections
      static void ParallelSections(uint? num_threads=null, params Action[] actions)
      Creates a parallel sections region. Contains all of the parameters from ParallelRegion() and Sections...
      Definition: Parallel.cs:1001

      This function supports the optional parameter num_threads from DotMP.Parallel.ParallelRegion.

      Critical

      @@ -273,13 +273,13 @@

      DotMP provides:

      DotMP.Parallel.Critical(id, () => {
      work();
      });
      -
      DotMP.Parallel.Critical
      static int Critical(int id, Action action)
      Creates a critical region. A critical region is a region of code that can only be executed by one thr...
      Definition: Parallel.cs:1019
      +
      DotMP.Parallel.Critical
      static int Critical(int id, Action action)
      Creates a critical region. A critical region is a region of code that can only be executed by one thr...
      Definition: Parallel.cs:1018

      This function requires an id parameter, which is used as a unique identifier for a particular critical region. If multiple critical regions are present in the code, they should each have a unique id. The id should likely be a const int or an integer literal.

      Barrier

      Given the OpenMP:

      #pragma omp barrier

      DotMP provides:

      DotMP.Parallel.Barrier();
      -
      DotMP.Parallel.Barrier
      static void Barrier()
      Creates a barrier. All threads must reach the barrier before any thread can continue....
      Definition: Parallel.cs:1053
      +
      DotMP.Parallel.Barrier
      static void Barrier()
      Creates a barrier. All threads must reach the barrier before any thread can continue....
      Definition: Parallel.cs:1052

      Master

      Given the OpenMP:

      #pragma omp master
      @@ -289,7 +289,7 @@

      DotMP provides:

      DotMP.Parallel.Master(() => {
      work();
      });
      -
      DotMP.Parallel.Master
      static void Master(Action action)
      Creates a master region. The master region is a region of code that is only executed by the master th...
      Definition: Parallel.cs:1081
      +
      DotMP.Parallel.Master
      static void Master(Action action)
      Creates a master region. The master region is a region of code that is only executed by the master th...
      Definition: Parallel.cs:1080

      Master's behavior is left undefined if used outside of a ParallelRegion.

      Single

      @@ -300,7 +300,7 @@

      DotMP provides:

      DotMP.Parallel.Single(id, () => {
      work();
      });
      -
      DotMP.Parallel.Single
      static void Single(int id, Action action)
      Creates a single region. A single region is only executed once per Parallel.ParallelRegion....
      Definition: Parallel.cs:1103
      +
      DotMP.Parallel.Single
      static void Single(int id, Action action)
      Creates a single region. A single region is only executed once per Parallel.ParallelRegion....
      Definition: Parallel.cs:1102

      The id parameter provided should follow the same guidelines as specified in Critical.

      A Single region is only executed once per DotMP.Parallel.ParallelRegion, and is executed by the first thread that encounters it.

      Single's behavior is left undefined if used outside of a ParallelRegion.

      @@ -313,7 +313,7 @@

      DotMP provides:

      DotMP.Parallel.Ordered(id, () => {
      work();
      });
      -
      DotMP.Parallel.Ordered
      static void Ordered(int id, Action action)
      Creates an ordered region. An ordered region is a region of code that is executed in order inside of ...
      Definition: Parallel.cs:1149
      +
      DotMP.Parallel.Ordered
      static void Ordered(int id, Action action)
      Creates an ordered region. An ordered region is a region of code that is executed in order inside of ...
      Definition: Parallel.cs:1148

      The id parameter provided should follow the same guidelines as specified in Critical.

      Ordered's behavior is left undefined if used outside of a For.

      @@ -418,7 +418,7 @@

      DotMP provides:

      DotMP.Parallel.Task(() => {
      work();
      });
      -
      DotMP.Parallel.Task
      static TaskUUID Task(Action action, params TaskUUID[] depends)
      Enqueue a task into the task queue. Differing from OpenMP, there is no concept of parent or child tas...
      Definition: Parallel.cs:851
      +
      DotMP.Parallel.Task
      static TaskUUID Task(Action action, params TaskUUID[] depends)
      Enqueue a task into the task queue. Differing from OpenMP, there is no concept of parent or child tas...
      Definition: Parallel.cs:850

      This function supports depends as a params parameter. depends accepts DotMP.TaskUUID objects, and marks the created task as dependent on the tasks passed through depends.

      This function adds a task to the task queue and is deferred until a tasking point.

      This function returns a DotMP.TaskUUID object, which can be passed to future depends clauses.

      @@ -426,7 +426,7 @@

      Taskwait

      Given the OpenMP:

      #pragma omp taskwait

      DotMP provides:

      DotMP.Parallel.Taskwait();
      -
      DotMP.Parallel.Taskwait
      static void Taskwait()
      Wait for all tasks in the queue to complete. Is injected into a Thread's work by the Region construct...
      Definition: Parallel.cs:864
      +
      DotMP.Parallel.Taskwait
      static void Taskwait()
      Wait for all tasks in the queue to complete. Is injected into a Thread's work by the Region construct...
      Definition: Parallel.cs:863

      This function acts as a tasking point, as well as an implicit barrier.

      Taskloop

      @@ -438,7 +438,7 @@

      DotMP provides:

      DotMP.Parallel.Taskloop(a, b, i => {
      work(i);
      });
      -
      DotMP.Parallel.Taskloop
      static TaskUUID[] Taskloop(int start, int end, Action< int > action, uint? grainsize=null, uint? num_tasks=null, bool only_if=true, params TaskUUID[] depends)
      Creates a number of tasks to complete a for loop in parallel. If neither grainsize nor num_tasks are ...
      Definition: Parallel.cs:900
      +
      DotMP.Parallel.Taskloop
      static TaskUUID[] Taskloop(int start, int end, Action< int > action, uint? grainsize=null, uint? num_tasks=null, bool only_if=true, params TaskUUID[] depends)
      Creates a number of tasks to complete a for loop in parallel. If neither grainsize nor num_tasks are ...
      Definition: Parallel.cs:899

      This function supports the num_tasks optional parameter, which specifies how many tasks into which the loop is broken up.

      This function supports the grainsize optional parameter, which specifies how many iterations belong to each individual task.

      If both num_tasks and grainsize are provided, the num_tasks parameter takes precedence over the grainsize parameter.

      @@ -455,7 +455,7 @@

      DotMP provides:

      DotMP.Parallel.ParallelMaster(() => {
      work();
      });
      -
      DotMP.Parallel.ParallelMaster
      static void ParallelMaster(Action action, uint? num_threads=null)
      Wrapper around Parallel.ParallelRegion() and Parallel.Master().
      Definition: Parallel.cs:968
      +
      DotMP.Parallel.ParallelMaster
      static void ParallelMaster(Action action, uint? num_threads=null)
      Wrapper around Parallel.ParallelRegion() and Parallel.Master().
      Definition: Parallel.cs:967

      This function supports the num_threads optional parameter from DotMP.Parallel.ParallelRegion.

      Master Taskloop

      @@ -467,7 +467,7 @@

      DotMP provides:

      DotMP.Parallel.MasterTaskloop(a, b, i => {
      work(i);
      });
      -
      DotMP.Parallel.MasterTaskloop
      static void MasterTaskloop(int start, int end, Action< int > action, uint? grainsize=null, uint? num_tasks=null, bool only_if=true)
      Wrapper around Parallel.Master() and Parallel.Taskloop().
      Definition: Parallel.cs:986
      +
      DotMP.Parallel.MasterTaskloop
      static void MasterTaskloop(int start, int end, Action< int > action, uint? grainsize=null, uint? num_tasks=null, bool only_if=true)
      Wrapper around Parallel.Master() and Parallel.Taskloop().
      Definition: Parallel.cs:985

      This function supports all of the optional parameters from DotMP.Parallel.Taskloop, except depends.

      This function does not return a DotMP.TaskUUID[] array.

      @@ -480,7 +480,7 @@

      DotMP provides:

      DotMP.Parallel.ParallelMasterTaskloop(a, b, i => {
      work(i);
      });
      -
      DotMP.Parallel.ParallelMasterTaskloop
      static void ParallelMasterTaskloop(int start, int end, Action< int > action, uint? grainsize=null, uint? num_tasks=null, uint? num_threads=null, bool only_if=true)
      Wrapper around Parallel.ParallelRegion(), Parallel.Master(), and Parallel.Taskloop().
      Definition: Parallel.cs:950
      +
      DotMP.Parallel.ParallelMasterTaskloop
      static void ParallelMasterTaskloop(int start, int end, Action< int > action, uint? grainsize=null, uint? num_tasks=null, uint? num_threads=null, bool only_if=true)
      Wrapper around Parallel.ParallelRegion(), Parallel.Master(), and Parallel.Taskloop().
      Definition: Parallel.cs:949

      This function supports all of the optional parameters from DotMP.Parallel.ParallelRegion and DotMP.Parallel.Taskloop, except depends.

      This function does not return a DotMP.TaskUUID[] array.

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w@vVUn{QrpwgYStLfQN_yc!(H)hll|`0c<(@GDmZ - - - - - - + - + - + - + - + - + - + - + - + - + diff --git a/interfaceDotMP_1_1IScheduler.html b/interfaceDotMP_1_1IScheduler.html index 711ea012..5c17e84f 100644 --- a/interfaceDotMP_1_1IScheduler.html +++ b/interfaceDotMP_1_1IScheduler.html @@ -202,7 +202,7 @@

      Scheduler.cs +
    • DotMP/Schedule.cs

    diff --git a/namespaceDotMP.html b/namespaceDotMP.html index eaeb15cd..2f62fa3a 100644 --- a/namespaceDotMP.html +++ b/namespaceDotMP.html @@ -99,11 +99,14 @@ class  ForkedRegion  Contains the Region object and controls for creating and starting a parallel region. More...
      -class  Thr - Encapsulates a Thread object with information about its progress through a parallel for loop. For keeping track of its progress through a parallel for loop, we keep track of the current next iteration of the loop to be worked on, and the iteration the current thread is currently working on. More...
    +class  Lock + A lock that can be used in a parallel region. Also contains instance methods for locking. Available methods are Set, Unset, and Test. More...
      -class  WorkShare - Contains all relevant information about a parallel for loop. Contains a collection of Thr objects, the loop's start and end iterations, the chunk size, the number of threads, and the number of threads that have completed their work. More...
    +class  Parallel + The main class of DotMP. Contains all the main methods for parallelism. For users, this is the main class you want to worry about, along with Lock, Shared, and Atomic More...
    +  +interface  IScheduler + Interface for user-defined schedulers. More...
      class  Schedule  Represents the various scheduling strategies for parallel for loops. Detailed explanations of each scheduling strategy are provided alongside each getter. If no schedule is specified, the default is Schedule.Static. More...
    @@ -120,18 +123,6 @@ class  RuntimeScheduler  Placeholder for the runtime scheduler. Is not meant to be called directly. The Parallel.FixArgs method should detect its existence and swap it out for another scheduler with implementations. More...
      -class  Iter - Contains all of the scheduling code for parallel for loops. More...
    -  -class  Lock - A lock that can be used in a parallel region. Also contains instance methods for locking. Available methods are Set, Unset, and Test. More...
    -  -class  Parallel - The main class of DotMP. Contains all the main methods for parallelism. For users, this is the main class you want to worry about, along with Lock, Shared, and Atomic More...
    -  -interface  IScheduler - Interface for user-defined schedulers. More...
    -  class  SectionsContainer  Static class that contains necessary information for sections. Sections allow for the user to submit multiple actions to be executed in parallel. A sections region contains a collection of actions to be executed, specified as Parallel.Section directives. More information can be found in the Parallel.Sections documentation. More...
      @@ -147,6 +138,12 @@ class  TaskUUID  Task UUID as returned from Parallel.Task. More...
      +class  Thr + Encapsulates a Thread object with information about its progress through a parallel for loop. For keeping track of its progress through a parallel for loop, we keep track of the current next iteration of the loop to be worked on, and the iteration the current thread is currently working on. More...
    +  +class  WorkShare + Contains all relevant information about a parallel for loop. Contains a collection of Thr objects, the loop's start and end iterations, the chunk size, the number of threads, and the number of threads that have completed their work. More...
    +  class  ForAction  Class encapsulating all of the possible callbacks in a Parallel.For-style loop. This includes Parallel.For, Parallel.ForReduction<T>, Parallel.ForCollapse, and Parallel.ForReductionCollapse<T>. More...
      diff --git a/namespaces.html b/namespaces.html index 068c5b65..2a5a4b67 100644 --- a/namespaces.html +++ b/namespaces.html @@ -77,26 +77,25 @@  CInvalidArgumentsExceptionException thrown if invalid arguments are specified to DotMP functions  CRegionContains relevant internal information about parallel regions, including the threads and the function to be executed. Provides a region-wide lock and SpinWait objects for each thread  CForkedRegionContains the Region object and controls for creating and starting a parallel region - CThrEncapsulates a Thread object with information about its progress through a parallel for loop. For keeping track of its progress through a parallel for loop, we keep track of the current next iteration of the loop to be worked on, and the iteration the current thread is currently working on - CWorkShareContains all relevant information about a parallel for loop. Contains a collection of Thr objects, the loop's start and end iterations, the chunk size, the number of threads, and the number of threads that have completed their work - CScheduleRepresents the various scheduling strategies for parallel for loops. Detailed explanations of each scheduling strategy are provided alongside each getter. If no schedule is specified, the default is Schedule.Static - CStaticSchedulerImplementation of static scheduling - CDynamicSchedulerImplementation of dynamic scheduling - CGuidedSchedulerImplementation of guided scheduling - CRuntimeSchedulerPlaceholder for the runtime scheduler. Is not meant to be called directly. The Parallel.FixArgs method should detect its existence and swap it out for another scheduler with implementations - CIterContains all of the scheduling code for parallel for loops - CLockA lock that can be used in a parallel region. Also contains instance methods for locking. Available methods are Set, Unset, and Test - CParallelThe main class of DotMP. Contains all the main methods for parallelism. For users, this is the main class you want to worry about, along with Lock, Shared, and Atomic - CISchedulerInterface for user-defined schedulers - CSectionsContainerStatic class that contains necessary information for sections. Sections allow for the user to submit multiple actions to be executed in parallel. A sections region contains a collection of actions to be executed, specified as Parallel.Section directives. More information can be found in the Parallel.Sections documentation - CSharedA shared variable that can be used in a parallel region. This allows for a variable to be declared inside of a parallel region that is shared among all threads, which has some nice use cases - CSharedEnumerableA specialization of Shared for items that can be indexed with square brackets. The DotMP-parallelized Conjugate Gradient example shows this off fairly well inside of the SpMV function - CTaskingContainerA simple container for a Queue<Action> for managing tasks. Will grow in complexity as dependencies are added and a dependency graph must be generated - CTaskUUIDTask UUID as returned from Parallel.Task - CForActionClass encapsulating all of the possible callbacks in a Parallel.For-style loop. This includes Parallel.For, Parallel.ForReduction<T>, Parallel.ForCollapse, and Parallel.ForReductionCollapse<T> - ▼NDotMPTests - CParallelTestsTests for the DotMP library - CSerialCustom scheduler which runs a for loop in serial + CLockA lock that can be used in a parallel region. Also contains instance methods for locking. Available methods are Set, Unset, and Test + CParallelThe main class of DotMP. Contains all the main methods for parallelism. For users, this is the main class you want to worry about, along with Lock, Shared, and Atomic + CISchedulerInterface for user-defined schedulers + CScheduleRepresents the various scheduling strategies for parallel for loops. Detailed explanations of each scheduling strategy are provided alongside each getter. If no schedule is specified, the default is Schedule.Static + CStaticSchedulerImplementation of static scheduling + CDynamicSchedulerImplementation of dynamic scheduling + CGuidedSchedulerImplementation of guided scheduling + CRuntimeSchedulerPlaceholder for the runtime scheduler. Is not meant to be called directly. The Parallel.FixArgs method should detect its existence and swap it out for another scheduler with implementations + CSectionsContainerStatic class that contains necessary information for sections. Sections allow for the user to submit multiple actions to be executed in parallel. A sections region contains a collection of actions to be executed, specified as Parallel.Section directives. More information can be found in the Parallel.Sections documentation + CSharedA shared variable that can be used in a parallel region. This allows for a variable to be declared inside of a parallel region that is shared among all threads, which has some nice use cases + CSharedEnumerableA specialization of Shared for items that can be indexed with square brackets. The DotMP-parallelized Conjugate Gradient example shows this off fairly well inside of the SpMV function + CTaskingContainerA simple container for a Queue<Action> for managing tasks. Will grow in complexity as dependencies are added and a dependency graph must be generated + CTaskUUIDTask UUID as returned from Parallel.Task + CThrEncapsulates a Thread object with information about its progress through a parallel for loop. For keeping track of its progress through a parallel for loop, we keep track of the current next iteration of the loop to be worked on, and the iteration the current thread is currently working on + CWorkShareContains all relevant information about a parallel for loop. Contains a collection of Thr objects, the loop's start and end iterations, the chunk size, the number of threads, and the number of threads that have completed their work + CForActionClass encapsulating all of the possible callbacks in a Parallel.For-style loop. 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