OpenGrok
Home
Sort by relevance
Sort by last modified time
Full Search
Definition
Symbol
File Path
History
|
|
Help
Searched
refs:scalable
(Results
1 - 11
of
11
) sorted by null
/external/tensorflow/tensorflow/c/
generate-pc.sh
63
Description: Library for computation using data flow graphs for
scalable
machine learning
/prebuilts/go/darwin-x86/src/sync/atomic/
value_test.go
172
// The following example shows how to maintain a
scalable
frequently read,
/prebuilts/go/linux-x86/src/sync/atomic/
value_test.go
172
// The following example shows how to maintain a
scalable
frequently read,
/external/tensorflow/tensorflow/contrib/verbs/
README.md
55
The tensor transfer process is initiated when the receiver requests a tensor. In code it is done by calling **Rendezvous::Recv()** or **Rendezvous::RecvAsync()**. The TensorFlow base implementation handles the case where the requested tensor is located on the same node. The more interesting case where the requested tensor is located on a remote node (receiver != sender) is to be handled in a derivation of the pure virtual **BaseRemoteRendezvous::RecvFromRemoteAsync()**. TensorFlow provides a default GRPC based implementation which comes in the vanilla version but suffers in scalability when running large models. Our RDMA based implementation presumes to be more
scalable
. HKUST's contrib GDR implementation is more
scalable
than GRPC, and less
scalable
than ours, only because we did our evolution based on it.
/prebuilts/go/darwin-x86/src/runtime/
netpoll_solaris.go
11
// Solaris uses event ports for
scalable
network I/O. Event
/prebuilts/go/linux-x86/src/runtime/
netpoll_solaris.go
11
// Solaris uses event ports for
scalable
network I/O. Event
/external/doclava/res/assets/templates-sdk/assets/js/
docs.js
[
all
...]
/external/libffi/
texinfo.tex
[
all
...]
/external/libmicrohttpd/doc/
texinfo.tex
[
all
...]
/external/python/cpython2/Modules/_ctypes/libffi/
texinfo.tex
[
all
...]
/external/python/cpython3/Modules/_ctypes/libffi/
texinfo.tex
[
all
...]
Completed in 195 milliseconds