A1 Journal article – refereed
On-Chip Dynamic Resource Management

List of Authors: Antonio Miele, Anil Kanduri, Kasra Moazzemi, Dávid Juhász, Amir R. Rahmani, Nikil Dutt, Pasi Liljeberg, Axel Jantsch
Publication year: 2019
Volume number: 13
Issue number: 1-2
Number of pages: 144
ISSN: 1551-3939


The need for dynamic resource management has shadowed the exponential growth of on-chip transistor capacity, and the challenge is accentuated by the heterogeneity of resources, and the bewildering variety of constraints and requirements of applications, platforms and users. The field has started with a few research papers in the early 1990s but has grown today to over hundred yearly publications, leading to an accumulated body of literature presumable far above 1000 papers.

We focus on the dynamic (run-time) management of on-chip resources and mostly ignore design-time techniques and off-chip resources of larger electronic systems. Moreover, we do not attempt a complete review of all published work on the topic. Rather, this survey provides a structured review and discussion of the state of the art and is divided along the primary objectives of resource management techniques: performance, power, reliability and quality of service, each of which has its dedicated chapter. We observe that many works describe dedicated techniques for point problems, like minimizing power or maximizing lifetime. In recent years more and more methods have started to appear that address two, three or more different goals of resource management, but work with a holistic scope that attempts to address and balance all relevant objectives is still rare. An exception is the area of reliability and life-time management. There we see that a large majority of approaches may be considered as holistic.

Observing current limitations and recent trends we assume that global and holistic approaches will make the most valuable contributions to this field in the years to come and therefore we expect that the focus of research will gradually shift to systematic methods combining point techniques in order to pursue and balance all relevant system goals of highly dynamic, adaptive systems.

Last updated on 2019-04-09 at 09:18