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Add dst_weight for hierarchical neighbor allreduce #81

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hanbinhu opened this issue Mar 26, 2021 · 0 comments
Open

Add dst_weight for hierarchical neighbor allreduce #81

hanbinhu opened this issue Mar 26, 2021 · 0 comments

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@hanbinhu
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hanbinhu commented Mar 26, 2021

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hanbinhu pushed a commit that referenced this issue Apr 11, 2021
* Fixed the self_weight under emtpy receiving case

* Enable empty send neighbors and fix HalfTensor for recv_size==0

* Fixed the self_weight under emtpy receiving case

* Enable empty send neighbors and fix HalfTensor for recv_size==0

* Rename neighbor_weights to src_weights, and send_neighbors to dst_weights for neighbor_allreduce

* A script to test existing examples

* Accept dst_weights as Dict, and reorganize DoNeighborAllreduce

* Reorganize CheckNeighborSendRecvPattern

* Fix timeline_ptr for NCCL

* Fix timeline_ptr for NCCL

* Put dst_weights information into TensorTableEntry

* First Version of neighbor_allreduce dst_weight, existing problem: Fusion Not Implemented, CUDA data_weight problem

* Add some delay after data_weight as a temporary solution

* CPU Fusion for dst_weighted added

* Add ReadyEvent for dst_weight for single entry neighbor_allreduce

* Remove const identifier for tensor dtype as it is meaningless

* Add cuda source for scalebuffer

* Scale buffer to modify itself

* Add .o file to .gitignore

* dst_weight using CUDA for fused entry & compile flow in Python setup.py

* make clean *.o files generated by nvcc

* Add fix for NCCL single entry

* Make setup.py more robust

* Add timeout and cuda check

* Move test example

* Fix NCCL side dst_weight fusion bug

* Add agg to make matplotlib more stable

* Address comments for setup.py

* Simpler logic for dst_weighting_enabled and weighted_average_computation

* Better consideration for weight buffer size

* Make src_weights as std::map, and simplify logic for PerformNeighborAllreduceCallback

* Add TODO #80 and #81, and simplify the logic for dst_weight

* Wrap CheckNeighborSendRecvPattern again

* Add two more TODOs

* Address review comments

* Add condition variable to control the loop (#88)

* Add condition variable to control the loop

* Minor update on topology_setting in global_state

* Add missing <condition_variable> header

* Change cv.wait to cv.wait_for 10 seconds

* Address comment and remove adjusting resetVersionWinMem in ibfrun

Co-authored-by: ybc <[email protected]>
BichengYing added a commit that referenced this issue May 6, 2021
* Fixed the self_weight under emtpy receiving case

* Enable empty send neighbors and fix HalfTensor for recv_size==0

* Fixed the self_weight under emtpy receiving case

* Enable empty send neighbors and fix HalfTensor for recv_size==0

* Rename neighbor_weights to src_weights, and send_neighbors to dst_weights for neighbor_allreduce

* A script to test existing examples

* Accept dst_weights as Dict, and reorganize DoNeighborAllreduce

* Reorganize CheckNeighborSendRecvPattern

* Fix timeline_ptr for NCCL

* Fix timeline_ptr for NCCL

* Put dst_weights information into TensorTableEntry

* First Version of neighbor_allreduce dst_weight, existing problem: Fusion Not Implemented, CUDA data_weight problem

* Add some delay after data_weight as a temporary solution

* CPU Fusion for dst_weighted added

* Add ReadyEvent for dst_weight for single entry neighbor_allreduce

* Remove const identifier for tensor dtype as it is meaningless

* Add cuda source for scalebuffer

* Scale buffer to modify itself

* Add .o file to .gitignore

* dst_weight using CUDA for fused entry & compile flow in Python setup.py

* make clean *.o files generated by nvcc

* Add fix for NCCL single entry

* Make setup.py more robust

* Add timeout and cuda check

* Move test example

* Fix NCCL side dst_weight fusion bug

* Add agg to make matplotlib more stable

* Address comments for setup.py

* Simpler logic for dst_weighting_enabled and weighted_average_computation

* Better consideration for weight buffer size

* Make src_weights as std::map, and simplify logic for PerformNeighborAllreduceCallback

* Add TODO #80 and #81, and simplify the logic for dst_weight

* Wrap CheckNeighborSendRecvPattern again

* Add two more TODOs

* Address review comments

* Add condition variable to control the loop

* Minor update on topology_setting in global_state

* Add missing <condition_variable> header

* Change cv.wait to cv.wait_for 10 seconds

* Address comment and remove adjusting resetVersionWinMem in ibfrun

* Add lock to protect loop_cv notify_one

Co-authored-by: Hanbin Hu <[email protected]>
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