Early results from ERA embedded reconfigurable architectures
Paper in proceedings, 2011

The growing complexity and diversity of embedded systems combined with continuing demands for higher performance and lower power consumption place increasing pressure on embedded platforms designers. To address these problems, the Embedded Reconfigurable Architectures project (ERA), investigates innovations in both hardware and tools to create next-generation embedded systems. Leveraging adaptive hardware enables maximum performance for given power budgets. We design our platform via a structured approach that allows integration of reconfigurable computing elements, network fabrics, and memory hierarchy components. Commercially available, off-the-shelf processors are combined with other proprietary and application-specific, dedicated cores. These computing and network elements can adapt their composition, organization, and even instruction-set architectures in an effort to provide the best possible trade-offs in performance and power for the given application(s). Likewise, network elements and topologies and memory hierarchy organization can be selected both statically at design time and dynamically at run-time. Hardware details are exposed to the operating system, run-time system, compiler, and applications. This combination supports fast platform prototyping of high-efficient embedded system designs. Our design philosophy supports the freedom to flexibly tune all these hardware elements, enabling a better choice of power/performance trade-offs than that afforded by the current state of the art.

adaptive embedded platform

VEX VLIW processor

benchmarking

Author

S. Wong

Delft University of Technology

Anthony Brandon

Delft University of Technology

F. Anjam

Delft University of Technology

R. Seedorf

Delft University of Technology

R. Giorgi

University of Siena

Z. Yu

University of Siena

N. Puzovic

University of Siena

Sally A McKee

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Magnus Själander

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

L. Carro

Universidade Federal do Rio Grande do Sul (UFRGS)

G. Keramidas

Industrial Systems Institute

9th IEEE International Conference on Industrial Informatics, INDIN 2011, Lisbon, 26-29 July 2011

1935-4576 (ISSN)

816-822

Subject Categories

Computer and Information Science

DOI

10.1109/INDIN.2011.6034998

ISBN

978-145770434-5

More information

Latest update

5/29/2018