GRAP: Group-level Resource Allocation Policy for Reconfigurable Dragonfly Network in HPC
Guangnan Feng, Dezun Dong, Shizhen Zhao, Yutong Lu
Abstract
Dragonfly is a highly scalable, low-diameter, and cost-efficient network topology, which has been adopted in new exascale High Performance Computing (HPC) systems. However, Dragonfly topology suffers from the limited direct links between groups. The reconfigurable network can solve this problem by reconfiguring topology to adjust the number of direct links between groups. While the performance improvement of a single job on reconfigurable HPC network has been evaluated in previous works, the performance of HPC workloads has not been studied because of the lack of an appropriate resource allocation policy.
Topics & Concepts
ScalabilityComputer scienceNetwork topologySupercomputerTopology (electrical circuits)Resource allocationDistributed computingDragonflyBenchmark (surveying)Resource (disambiguation)Parallel computingComputer architectureComputer networkEngineeringOperating systemOdonataBiologyGeodesyElectrical engineeringGeographyPaleontologyParallel Computing and Optimization TechniquesDistributed and Parallel Computing SystemsInterconnection Networks and Systems