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From "ASF subversion and git services (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SINGA-175) Add memory management APIs and implement a subclass using CNMeM
Date Fri, 24 Jun 2016 06:52:16 GMT

    [ https://issues.apache.org/jira/browse/SINGA-175?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15347865#comment-15347865
] 

ASF subversion and git services commented on SINGA-175:
-------------------------------------------------------

Commit 077d13e8052aa92679909b619966481a383a651f in incubator-singa's branch refs/heads/dev
from [~liyuchenmike@gmail.com]
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=077d13e ]

SINGA-175 Add memory management APIs and implement a subclass using CNMeM

Add base memory pool class.
Implement two subclasses, CnMemPool and CudaMemPool.
Add test for the memory pools.

TODO replace Device* to std::shared_ptr<Device> to avoid memory error because
the order of destructing device and tensor are dynamic (device may be freed
before tensors)


> Add memory management APIs and implement a subclass using CNMeM
> ---------------------------------------------------------------
>
>                 Key: SINGA-175
>                 URL: https://issues.apache.org/jira/browse/SINGA-175
>             Project: Singa
>          Issue Type: New Feature
>            Reporter: wangwei
>
> We have associated each Tensor associated with a reference counter for garbage collection.
Tensor is then can be used without worrying about memory leak.
> To avoid frequently malloc/free gpu or cpu memory due to Tensor creation and deletion,
we need a memory pool. This ticket is going to create a memory manager that manages a memory
pool for each device.
> Particularly, we will implement a specific memory manager using the https://github.com/NVIDIA/cnmem
for CudaGPU devices.



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