Towards a Common Software-to-hardware Allocation Framework for the Heterogeneous High Performance Computing

Paper i proceeding, 2014

In the domain of high performance computing, software deployment on heterogeneous distributed processing units has been in practice for many years. However, new hardware technologies, increased complexity of software and significant increase of requirements demand new methods that can manage these concerns in an efficient way. In this paper we propose a new optimization framework that in a systematic way addresses a general allocation model, the software and deployment architectures, and, based on the user preferences, provides a software deployment solution regardless of number of quality attributes used. Additionally, we present the input models to the allocation process capable of describing a number of software and hardware configurations, and a two-step allocation algorithm capable of harnessing these models.