Institutional Repository [SANDBOX]
Technical University of Crete
EN  |  EL

Search

Browse

My Space

HEAP: A highly efficient adaptive multi-processor framework

Papaefstathiou Ioannis, Brokalakis Andreas, Lavagno L. , Lazarescu M., Walters J., Kienhuis B., Schaefer F.

Full record


URI: http://purl.tuc.gr/dl/dias/1AED0DF7-D408-45D3-B747-16E246E7AC52
Year 2012
Type of Item Conference Full Paper
License
Details
Bibliographic Citation L. Lavagno, M. Lazarescu, J. Walters, B. Kienhuis, I. Papaefstathiou, A. Brokalakis, F. Schaefer, "HEAP: A highly efficient adaptive multi-processor framework," in 15th Euromicro Conference on Digital System Design (DSD), 2012, pp. 509 - 516. doi: 10.1109/DSD.2012.71 https://doi.org/10.1109/DSD.2012.71
Appears in Collections

Summary

Writing parallel code is difficult, especially when starting from a sequential reference implementation. Our research efforts, as demonstrated in this paper, face this challenge directly by providing an innovative toolset that helps software developers profile and parallelize an existing sequential implementation, by exploiting top-level pipeline-style parallelism. The innovation of our approach is based on the facts that a) we use both automatic and profiling-driven estimates of the available parallelism, b) we refine those estimates using metric-driven verification techniques, and c) we support dynamic recovery of excessively optimistic parallelization. The proposed toolset has been utilized to find an efficient parallel code organization for a number of real-world representative applications, and a version of the toolset is provided in an open-source manner.

Services

Statistics