Embedded reconfigurable computing: The ERA approach
Paper i proceeding, 2013

The growing complexity and diversity of embedded systems-combined with continuing demands for higher performance and lower power consumption-places increasing pressure on embedded platforms designers. The target of the ERA project is to offer a holistic, multi-dimensional methodology to address these problems in a unified framework exploiting the inter-and intra-synergism between the reconfigurable hardware (core, memory, and network resources), the reconfigurable software (compiler and tools), and the run-time system. Starting from the hardware level, we design our platform via a structured approach that allows integration of reconfigurable computing elements, network fabrics, and memory hierarchy components. These hardware elements can adapt their composition, organization, and even instruction-set architectures to exploit tradeoffs in performance and power. Appropriate hardware resources can be selected both statically at design time and dynamically at run time. Hardware details are exposed to our custom operating system, our custom runtime system, and our adaptive compiler, and are even visible all the way up to the application level. The design philosophy followed in the ERA project proved efficient enough not only to enable a better choice of power/performance trade-offs but also to support fast platform prototyping of high-efficiency embedded system designs. In this paper, we present a brief overview of the design approach, the major outcomes, and the lessons learned in the ERA project.

Adaptive embedded platform

Hardware-software codesign

Reconfigurable computing.


G. Keramidas

Industrial Systems Institute

S. Wong

Technische Universiteit Delft

F. Anjam

Technische Universiteit Delft

Anthony Brandon

Technische Universiteit Delft

R. Seedorf

Technische Universiteit Delft

Claudio Scordino

L. Carro

Universidade Federal do Rio Grande do Sul (UFRGS)

Debora Matos

Universidade Federal do Rio Grande do Sul (UFRGS)

R. Giorgi

Università degli Studi di Siena

Stamatis Kavvadias

Università degli Studi di Siena

Sally A McKee

Chalmers, Data- och informationsteknik, Datorteknik

Bhavishya Goel

Chalmers, Data- och informationsteknik, Datorteknik

Vasileios Spiliopoulos

Uppsala universitet

2013 11th IEEE International Conference on Industrial Informatics, INDIN 2013; Bochum; Germany; 29 July 2013 through 31 July 2013

1935-4576 (ISSN)



Data- och informationsvetenskap