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Computing with Memory for Energy-Efficient Robust Systems (Paperback, Softcover reprint of the original 1st ed. 2014): Somnath... Computing with Memory for Energy-Efficient Robust Systems (Paperback, Softcover reprint of the original 1st ed. 2014)
Somnath Paul, Swarup Bhunia
R3,216 Discovery Miles 32 160 Ships in 10 - 15 working days

This book analyzes energy and reliability as major challenges faced by designers of computing frameworks in the nanometer technology regime. The authors describe the existing solutions to address these challenges and then reveal a new reconfigurable computing platform, which leverages high-density nanoscale memory for both data storage and computation to maximize the energy-efficiency and reliability. The energy and reliability benefits of this new paradigm are illustrated and the design challenges are discussed. Various hardware and software aspects of this exciting computing paradigm are described, particularly with respect to hardware-software co-designed frameworks, where the hardware unit can be reconfigured to mimic diverse application behavior. Finally, the energy-efficiency of the paradigm described is compared with other, well-known reconfigurable computing platforms.

Computing with Memory for Energy-Efficient Robust Systems (Hardcover, 2014 ed.): Somnath Paul, Swarup Bhunia Computing with Memory for Energy-Efficient Robust Systems (Hardcover, 2014 ed.)
Somnath Paul, Swarup Bhunia
R4,181 Discovery Miles 41 810 Ships in 10 - 15 working days

This book analyzes energy and reliability as major challenges faced by designers of computing frameworks in the nanometer technology regime. The authors describe the existing solutions to address these challenges and then reveal a new reconfigurable computing platform, which leverages high-density nanoscale memory for both data storage and computation to maximize the energy-efficiency and reliability. The energy and reliability benefits of this new paradigm are illustrated and the design challenges are discussed. Various hardware and software aspects of this exciting computing paradigm are described, particularly with respect to hardware-software co-designed frameworks, where the hardware unit can be reconfigured to mimic diverse application behavior. Finally, the energy-efficiency of the paradigm described is compared with other, well-known reconfigurable computing platforms.

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