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Document type:
Masterarbeit 
Author(s):
Mohak Chadha 
Title:
Adaptive Resource-Aware Batch Scheduling for HPC systems 
Translated title:
Adaptive Ressourcen-bewusste Stapelplanung für HPC-Systeme 
Abstract:
Distributed memory modern HPC systems consist of millions of compute nodes interconnected via a high-performance network. These systems are shared among thousands of users for submitting and executing their applications. The main software component responsible for scheduling and allocating resources to the user’s jobs is the middleware called Resource and Job Management System (RJMS). The main element of RJMS responsible for resource management and scheduling is the Batch Scheduler. The applic...    »
 
Translated abstract:
Distributed memory modern HPC systems consist of millions of compute nodes interconnected via a high-performance network. These systems are shared among thousands of users for submitting and executing their applications. The main software component responsible for scheduling and allocating resources to the user’s jobs is the middleware called Resource and Job Management System (RJMS). The main element of RJMS responsible for resource management and scheduling is the Batch Scheduler. The applic...    »
 
Keywords:
Dynamic resource management, malleable HPC applications, batch scheduling, SLURM 
Subject:
DAT Datenverarbeitung, Informatik 
DDC:
000 Informatik, Wissen, Systeme 
Advisor:
Gerndt, Michael (Prof. Dr.) 
Referee:
John,Jophin 
Year:
2020 
Language:
en 
Language from translation:
de 
University:
Technische Universität München 
Faculty:
Fakultät für Informatik