Computing with Memory for Energy-Efficient Robust Systems by Somnath Paul

By Somnath Paul

This ebook analyzes strength and reliability as significant demanding situations confronted by means of designers of computing frameworks within the nanometer know-how regime. The authors describe the prevailing strategies to handle those demanding situations after which display a brand new reconfigurable computing platform, which leverages high-density nanoscale reminiscence for either information garage and computation to maximise the energy-efficiency and reliability. The power and reliability merits of this new paradigm are illustrated and the layout demanding situations are mentioned. a variety of and software program points of this intriguing computing paradigm are defined, rather with admire to hardware-software co-designed frameworks, the place the unit could be reconfigured to imitate different software habit. eventually, the energy-efficiency of the paradigm defined is in comparison with different, famous reconfigurable computing platforms.

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L. Gustafson, “Reevaluating Amdahl’s Law”. ACM Comm. 31(5), 532–533 (1988) 2. [Online], “Future processing : Extreme scale”. pdf 3. pdf 34 3 Motivation for a Memory-Based Computing Hardware 4. H. Singh, M. Lee, G. J. Kurdahi, N. M. Chaves Filho, “MorphoSys: an integrated reconfigurable system for data-parallel and computation-intensive applications”. IEEE Trans. Comput. 49(5), 465–481 (2000) 5. C. Goldstein, H. Schmit, M. Moe, M. Budiu, S. R. Taylor, R. Laufer, “PipeRench: A Coprocessor for Streaming Multimedia Acceleration”, in Intl.

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