Abstract
A major problem considering parallel computing is maintaining memory consistency and coherency, and ensuring ownership and access rights. These problems mainly arise from the fact that memory in parallel and distributed systems is still managed locally, e.g. using a combination of shared-bus- and directory-based approaches. As a result, such setups do not scale well with system size and are especially unsuitable for systems where such centralized management instances cannot or must not be employed. As a potential solution to this problem we present SaM, the Self-aware Memory architecture. By using self-awareness, our approach provides a novel memory architecture concept targeting multi-master systems with special focus on autonomic, self-managing systems. Unlike previous attempts, the approach delivers a holistic, yet scalable and cost-friendly solution to several memory-related problems including maintaining coherency, consistency, and access rights.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Fraguela, B., et al.: Programming the FlexRAM parallel intelligent memory system. In: Proceedeings of the 2003 ACM SIGPLAN Symposium on Principles of Parallel Programming (PPoPP 2003), pp. 49–60 (June 2003)
Becker, J., et al.: Digital On-Demand Computing Organism for Real-Time Systems. In: Karl, W., et al. (eds.) Workshop Proceedings of the 19th International Conference on Architecture of Computing Systems (ARCS 2006), GI-Edition Lecture Notes in Informatics (LNI), vol. P81, pp. 230–245 (March 2006)
Brinkschulte, U., Pacher, M., Renteln, A.: Towards an Artificial Hormone System for Self-Organizing Real-Time Task Allocation. In: Obermaisser, R., et al. (eds.) SEUS 2007. LNCS, vol. 4761, Springer, Heidelberg (2007)
Buchty, R., Karl, W.: A Monitoring Infrastructure for the Digital on-demand Computing Organism (DodOrg). In: de Meer, H., Sterbenz, J.P.G. (eds.) IWSOS 2006. LNCS, vol. 4124, p. 258. Springer, Heidelberg (2006)
European Network of Excellence on High-Performance Embedded Architecture and Compilation (HiPEAC). UNISIM: UNIted SIMulation Environment
Fraguela, B.B., et al.: Programming the flexRAM parallel intelligent memory system. In: Programming the flexRAM parallel intelligent memory system, pp. 49–60. ACM Press, New York (2003)
Greis, W.: Die IBM-Mainframe-Architektur. Open Source Press (2005)
Horn, P.: Autonomic computing manifesto - ibm’s perspective on the state of information technology. IBM Research (October 2001)
Intel Corp. Intel Tera-scale Computing. (2007), http://techresearch.intel.com/articles/Tera-Scale/1421.htm
Kang, Y., et al.: FlexRAM: Toward an advanced intelligent memory system. In: International Conference on Computer Design (ICCD 1999), pp. 192–201. IEEE Computer Society Press, Washington (1999)
Kumaran, S.I.: JINI technology. Prentice-Hall, Englewood Cliffs (2002)
Oskin, M., Chong, F., Sherwood, T.: Active pages: A computation model for intelligent memory. In: Proceedings of the 25th Annual International Symposium on Computer Architecture (ISCA 1998). New York, June 27–July 1. ACM Computer Architecture News, vol. 26,3, pp. 192–203. ACM Press, New York (1998)
Patterson, D., et al.: A case for intelligent RAM. IEEE Micro 17(2), 34–44 (1997)
Raften, D.: System-managed cf structure duplexing. IBM e-server zSeries (June 2004)
Rangan, K., Abu-Ghazaleh, N., Wilsey, P.: A distributed multiple-SIMD processor in memory. In: 2001 International Conference on Parallel Processing (ICPP 2001), pp. 507–516. IEEE Computer Society Press, Washington (2001)
Schuck, C., Lamparth, S., Becker, J.: artNoC - A novel multi-functional router architecture for Organic Computing. In: 17th International Conference On Field Programmable Logic and Applications (August 2007)
Sterling, T., Brockman, J., Upchurch, E.: Analysis and modeling of advanced PIM architecture design tradeoffs. In: SC 2004 Conference CD, Pittsburgh, PA. IEEE/ACM SIGARCH (November 2004)
Inc Sun Microsystems. Jini architectural overview. Technical White Paper (1999)
Tanenbaum, A.S.: Modern Operating Systems, 2nd edn. Prentice-Hall, Englewood Cliffs (2001)
Taylor, M.B., et al.: The Raw Microprocessor: A Computational Fabric for Software Circuits and General Purpose Programs. In: IEEE Micro (March/April 2002)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Buchty, R., Mattes, O., Karl, W. (2008). Self-aware Memory: Managing Distributed Memory in an Autonomous Multi-master Environment. In: Brinkschulte, U., Ungerer, T., Hochberger, C., Spallek, R.G. (eds) Architecture of Computing Systems – ARCS 2008. ARCS 2008. Lecture Notes in Computer Science, vol 4934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78153-0_9
Download citation
DOI: https://doi.org/10.1007/978-3-540-78153-0_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78152-3
Online ISBN: 978-3-540-78153-0
eBook Packages: Computer ScienceComputer Science (R0)