Titlebook: Computing with Memory for Energy-Efficient Robust Systems; Somnath Paul,Swarup Bhunia Book 2014 Springer Science+Business Media New York 2

閑逛

Key Features of Memory-Based Computingously proposed in-memory computing architectures. We describe the application scenarios for which MBC is likely to offer benefit over conventional hardware and software programmable frameworks. Lastly we summarize the key features of the proposed MBC model.

成份

Etymology

Application of Memory-Based ComputingRAM, DRAM etc.) or permanently (for example by non-volatile memories such as Flash, magnetic disks etc.). In this chapter we first draw the outline how the embedded memory may be used for computing as well in a time-multiplexed hardware reconfigurable system. In particular, this chapter makes the following key contributions:

躲債

變化無常

Modicum

patriarch

https://doi.org/10.1007/978-0-387-71056-3RAM, DRAM etc.) or permanently (for example by non-volatile memories such as Flash, magnetic disks etc.). In this chapter we first draw the outline how the embedded memory may be used for computing as well in a time-multiplexed hardware reconfigurable system. In particular, this chapter makes the following key contributions:

感情脆弱

Timing Properties of Synchronous Systems,RAM, DRAM etc.) or permanently (for example by non-volatile memories such as Flash, magnetic disks etc.). In this chapter we first draw the outline how the embedded memory may be used for computing as well in a time-multiplexed hardware reconfigurable system. In particular, this chapter makes the following key contributions:

Lament

d for information storage as well as computation.Merges spatThis 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 reco

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