Topologies in distributed machine learning: Comprehensive survey, recommendations and future directions
With the widespread use of distributed machine learning (DML), many IT companies have
established networks dedicated to DML. Different communication architectures of DML have …
established networks dedicated to DML. Different communication architectures of DML have …
PSNet: Reconfigurable network topology design for accelerating parameter server architecture based distributed machine learning
Abstract The bottleneck of Distributed Machine Learning (DML) has shifted from computation
to communication. Lots of works have focused on speeding up communication phase from …
to communication. Lots of works have focused on speeding up communication phase from …
Hardware-Software Co-design for Optimizing MPI Programs in Data Center Network
A Rahbar - 2021 - search.proquest.com
Abstract High Performance Computing (HPC) systems are critical. A single server/processor
cannot handle the heavy computation needs of today's applications. HPC systems are built …
cannot handle the heavy computation needs of today's applications. HPC systems are built …