Titlebook: Design and Applications of Emerging Computer Systems; Weiqiang Liu,Jie Han,Fabrizio Lombardi Book 2024 The Editor(s) (if applicable) and T

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An Active Storage System for Intelligent Data Analysis and Managementr-data processing technique from the two perspectives of data intelligence analysis and management. This system is built based on the hardware and software co-design and can realize intelligent in-storage data analysis, caching, and placement.

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Characterizing Stochastic Number Generators for Accurate Stochastic Computinge accuracy of a stochastic computing system is largely affected by the stochastic number generators (SNGs), which converts binary numbers into their stochastic representation. This paper reviews recent developments in SNGs and their implementations. The accuracy of the computation results produced by these SNGs is evaluated and compared.

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Automatic Approximation of Computer Systems Through Multi-objective Optimizationication-independent design of generic combinational logic circuits, based on non-trivial local rewriting of and-inverter graphs (AIGs). Finally, to push forward the approximation limits, we showcase the design of approximate hardware accelerators for image processing and for common machine-learning-based classification models.

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Anna Stramaglia,Jeroen J. A. Keirenrresponding variety of benefits and drawbacks. This chapter presents a survey of the use of emerging technologies as a viable and low-cost solution to implement memory-centric architectures and applications.

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Automated Verification of Nested DFSeuromorphic accelerators; the SNN aims to replicate the highly energy-efficient process at work in our brains. In this chapter, we explore the current work and the limitations of neuromorphic computing in AI systems and our future together with this technology.

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Lecture Notes in Computer Scienceen discussed; furthermore, reliable learning in multi-branch NN systems under different types of hardware errors are analyzed and evaluated. Finally, the latest error-tolerant techniques utilized for these networks are reviewed.

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The 2020 Expert Survey on Formal Methods processing time, at a cost of occupied footprint. In addition, deterministic approaches, including relatively prime stream length, rotation, and clock division, are applied to stochastic multipliers to realize completely exact computing results, with double computing time.

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Scott F. Smith,Carolyn L. Talcottformances are affected by the usage of approximate arithmetic units. In addition to this pure functional analysis, for the convolutional neural networks, the impact on the silicon area, delay, and power dissipation is also discussed.

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Emerging Technologies for Memory-Centric Computingrresponding variety of benefits and drawbacks. This chapter presents a survey of the use of emerging technologies as a viable and low-cost solution to implement memory-centric architectures and applications.