Internal:Argobots and CDT3D: Difference between revisions

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Argobots Experimental Integration <br> '''Goal''' offload load balancing and thread manipulation to Argobots and ultimately to PREMA
Argobots Experimental Integration <br> '''Goal''' offload load balancing and thread manipulation to Argobots and ultimately to PREMA


= Previous Discussions ==
= Previous Discussions =
===== Ideas =====
===== Ideas =====
Try first at element granularity :
Try first at element granularity :

Revision as of 18:36, 5 September 2019

Objective

Replace native/system threads with Argobots tasklets. Argobots Experimental Integration
Goal offload load balancing and thread manipulation to Argobots and ultimately to PREMA

Previous Discussions

Ideas

Try first at element granularity :

Refactor Local Reconnection loop so that a function of type

   for every element t :
       attempt_flip(t)

attempt_flip will be a tasklet in the Arbobots nomenclature (ie the lightest work units, that run to executing and offer no blocking)

Bonus present it in a power-aware fashion

Advantages
  • Offload load balancing from CDT3D to PREMA.
  • Allow take advantage from PREMA's future plans on memory locality awareness on DSM systems.
  • Ability to "boost" a CDT3D instance if more than on of them are running on the same PREMA process.
    • Reason: If we have more that one CDT3D instance a shared task pool will provide access to more parallelism when one of the CDT3D instances runs a section of the code sequencially or with small number of threads.
    • Example: Two CDT3D instances (A &B) with 8 threads sharing a task pool. If A runs a sequential part of the code, B can use up to 17 threads to run its parallel parts. ( Caveat: Starvation may appear see solution below using groups.)
    • Indirect contribution to PDR.

Details

  • Bucket-level granularity since element-level would to too fine.
    • Should be have constant size of buckets or constant number of buckets(current implementation):
      • TODO Gather data on time per bucket (Histogram)
      • TODO Use histogram distribution to create mini benchmark/test application for PREMA.
      • Constant size of bucket will allow for CDT3D to come closer to PODM ie cavity level parallelism.
  • As a first attempt we can try to replace push to thread pool to push to arbobots pool this should have no runtime overhead. (Use example code from Polykarpos).
  • Keep buckets alive.
  • Replace Mesh Partitioning with bucket rebalancing in parallel.
  • Bucket rebalancing task may launch additional tasks. there is no need of synchonization between rebalancing and mesh operation.
  • Task crearion and distribution will be done recursively.
  • Update global inactive tertahedra pointer carefully.(CAS, one per bucket)
  • Thread-id will be replaced by stream id.
    • Thread-id is used (a) to write to a memory pool that no other thread is writing. (b) To tag locked vertices
  • Ultimately we would like to recast all parallel parts of CDT3D into parallel executrion modes with a unique interface, having thus only one part of the code, interfacing with Argobots. Moreover, a proper refactoring will allow thread-based implementation to co-exist as a fallback option when CDT3D is compiled without Argobots.
  • Thread groups is also a interesting and usefull idea towards building this integration.
    • Problem WITHOUT groups : If we have two CDT3D instances ( A & B) running on the same PREMA process, a unique task-pool will be offered by PREMA. This means that tasks (with varying size) from either instance A or B will be pushed into the task-pool. Due to the non-deterministict nature of the task-scheduling there is a possibbility that one CDT3D instance will starve because few of its tasks are waiting into the task-pool while the other one consumes all the available threads.
    • Solution: Divide requested number of threads of the two CDT3D instances into two groups. Use hierachical work stealing to give priority first to local tasks and then to remote.