The J-Cell Project: Developing a Scalable and Robust Runtime Environment for Heterogeneous Many-Core Processors

Conference paper

Abstract

J-Cell aims at providing a single system image (SSI) in clusters of heterogeneous many-core processors. The project’s fully decentralized runtime environment is designed to hide the underlying hardware complexity, provide robustness in face of hardware failures, and allow applications to scale across a large number of processor cores.

J-Cell is built around the concept of globally accessible objects (GAOs), which can float freely in the system, and which encapsulate all the application state, including the thread’s execution contexts. A transaction-based consistency mechanism hides the synchronization latencies. The transaction system’s versioning approach also provides the redundancy that guards against failing processor nodes.

First results from simulation studies are encouraging. An actual implementation of the entire system is ongoing work.

Keywords

Object Reference Hardware Failure Runtime System Consensus Protocol Execution Context 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

The J-Cell project is funded by the Bundesministerium für Bildung und Forschung (BmBF) under grant number 01IH08011. I would like to thank all our project partners (Universität Freiburg and BioSolveIT GmbH) and associated partners (IBM Deutschland Research & Development GmbH, Intel Microprocessor & Programming Research Lab, and MicroDoc GmbH) for their support. I am particularly grateful to the project’s PhD students Annette Bieniusa, Benedikt Elser, Bernhard Amann, Björn Saballus, and Stephan-Alexander Posselt.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.Technische Universität MünchenGarchingGermany

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