標題: Titlebook: Design and Applications of Emerging Computer Systems; Weiqiang Liu,Jie Han,Fabrizio Lombardi Book 2024 The Editor(s) (if applicable) and T [打印本頁] 作者: 技巧 時間: 2025-3-21 19:25
書目名稱Design and Applications of Emerging Computer Systems影響因子(影響力)
書目名稱Design and Applications of Emerging Computer Systems影響因子(影響力)學科排名
書目名稱Design and Applications of Emerging Computer Systems網絡公開度
書目名稱Design and Applications of Emerging Computer Systems網絡公開度學科排名
書目名稱Design and Applications of Emerging Computer Systems被引頻次
書目名稱Design and Applications of Emerging Computer Systems被引頻次學科排名
書目名稱Design and Applications of Emerging Computer Systems年度引用
書目名稱Design and Applications of Emerging Computer Systems年度引用學科排名
書目名稱Design and Applications of Emerging Computer Systems讀者反饋
書目名稱Design and Applications of Emerging Computer Systems讀者反饋學科排名
作者: CHURL 時間: 2025-3-21 22:25
Stochastic Computing Applications to Artificial Neural Networksfor creating MNNs. This chapter discusses how SC design methodologies are ideal for developing different ANN designs, and how the results are highly competitive in terms of energy efficiency and overall speed when compared with other extreme hardware-AI solutions such as binary neural networks.作者: ECG769 時間: 2025-3-22 01:04
Error-Tolerant Techniques for Classifiers Beyond Neural Networks for Dependable Machine Learning作者: 捕鯨魚叉 時間: 2025-3-22 07:36 作者: BRIBE 時間: 2025-3-22 10:24
Applications of Ising Models Based on Stochastic Computing作者: 合乎習俗 時間: 2025-3-22 14:13 作者: 合乎習俗 時間: 2025-3-22 17:24
Design and Applications of Emerging Computer Systems978-3-031-42478-6作者: 反饋 時間: 2025-3-22 22:19 作者: 生銹 時間: 2025-3-23 03:34 作者: 口訣 時間: 2025-3-23 07:49
ire stack, i.e., from circuit, architecture, up to system level. This book includes tutorials, reviews and surveys of current theoretical/experimental results, design methodologies and a range of applications..978-3-031-42480-9978-3-031-42478-6作者: 間接 時間: 2025-3-23 11:27
Book 2024s and developments at various hardware levels of new systems that compute under novel operational paradigms such as stochastic, probabilistic/inexact, neuromorphic, spintronic, bio-inspired and in-memory computing. Coverage includes the entire stack, i.e., from circuit, architecture, up to system le作者: TOXIN 時間: 2025-3-23 17:41
An Overview of Computation-in-Memory (CIM) Architectures and cons but also unifies the terminology that uniquely identifies these architectures. The chapter also discusses the steps in CIM design flow from the application level all the way down to the device technology and show the importance of system level to device technology level co-optimization.作者: 民間傳說 時間: 2025-3-23 19:21 作者: 和平 時間: 2025-3-24 00:55 作者: 不規(guī)則的跳動 時間: 2025-3-24 03:30 作者: Cursory 時間: 2025-3-24 10:17 作者: 碎石頭 時間: 2025-3-24 10:48
Scott F. Smith,Carolyn L. Talcottication-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.作者: 緩解 時間: 2025-3-24 17:35 作者: Counteract 時間: 2025-3-24 21:39 作者: 陰險 時間: 2025-3-25 02:26 作者: 心痛 時間: 2025-3-25 04:24
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.作者: OREX 時間: 2025-3-25 10:51
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.作者: Inculcate 時間: 2025-3-25 13:36
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.作者: Melatonin 時間: 2025-3-25 16:35
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.作者: padding 時間: 2025-3-25 21:17
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.作者: HARD 時間: 2025-3-26 03:57
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.作者: stress-test 時間: 2025-3-26 06:11
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.作者: 不能逃避 時間: 2025-3-26 12:02 作者: rectocele 時間: 2025-3-26 16:19
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.作者: 智力高 時間: 2025-3-26 19:01
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.作者: 輕推 時間: 2025-3-26 23:32 作者: 勤勉 時間: 2025-3-27 04:21
Emerging Machine Learning Using Siamese and Triplet Neural Networksen 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.作者: coltish 時間: 2025-3-27 07:12 作者: Sputum 時間: 2025-3-27 11:23 作者: Stricture 時間: 2025-3-27 14:18 作者: PANEL 時間: 2025-3-27 19:00
Weiqiang Liu,Jie Han,Fabrizio LombardiServes as a single-source reference to state-of-the-art of emerging computing paradigms;.Covers the entire system stack, i.e., from circuit, architecture, up to system level;.Includes contributions by作者: 蘑菇 時間: 2025-3-27 23:32 作者: 不成比例 時間: 2025-3-28 02:18 作者: 不可磨滅 時間: 2025-3-28 07:35
Chemical Case Studies in?KeYmaera X level of parallelism, and used memory technology. This classification does not only provide an overview of existing CIM architectures with their pros and cons but also unifies the terminology that uniquely identifies these architectures. The chapter also discusses the steps in CIM design flow from 作者: Diuretic 時間: 2025-3-28 11:47 作者: hauteur 時間: 2025-3-28 17:24 作者: 忙碌 時間: 2025-3-28 20:56 作者: 發(fā)展 時間: 2025-3-29 00:06
Automated Verification of Nested DFSge, intelligent analysis, and automated management. However, traditional computing-centric storage system design suffers from performance issues caused by data movement and fails to satisfy the demand for intelligent data storage systems. Thereby, we propose an active storage system based on the nea作者: 前面 時間: 2025-3-29 06:03 作者: placebo-effect 時間: 2025-3-29 09:17
The 2020 Expert Survey on Formal Methodstation of deep learning applications has gained a vast popularity for its high speed which derives from its parallel computations. Although hardware implementation of deep learning applications has higher performance and speed compared to their software counterparts, it is highly power- and area-con作者: 打火石 時間: 2025-3-29 13:14
Yanni Kouskoulas,T. J. Machado,Daniel Genintic computing, the different layers in a convolutional neural network can be highly compressed. This allows for a high degree of parallelism, enabling the implementation of medium-complexity networks on a single chip without relying on the interaction with memory that could degrade system efficiency作者: 健談 時間: 2025-3-29 16:02
https://doi.org/10.1007/978-0-387-35520-7bit streams are used to convey information, adopts encoding method that is different from the conventional multi-bit binary radix representation. This encoding method enables low arithmetic hardware cost, reduced energy consumption, and improved reliability. Despite the aforementioned advantages, th作者: convulsion 時間: 2025-3-29 23:34 作者: 喃喃訴苦 時間: 2025-3-30 03:38 作者: phase-2-enzyme 時間: 2025-3-30 06:39
Scott F. Smith,Carolyn L. Talcott acceptability and resilience of such an inexact solution is very dependent on the application field. In this chapter, a set of well-known approximate adders (TrA, SOA, LOA, GeAr) and multipliers (UDM, BAM, AMB, LM) are presented, and their impact is evaluated in the context of two application examp作者: 先鋒派 時間: 2025-3-30 11:13 作者: MOTIF 時間: 2025-3-30 13:04
978-3-031-42480-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: meditation 時間: 2025-3-30 17:11
Emerging Technologies for Memory-Centric Computingmory-centric paradigm appears to be a good candidate to break the memory and power walls by bringing computation closer to, or even completely inside, the memory. While current approaches are based on conventional volatile memory technologies, further performance improvements can be achieved through作者: BUCK 時間: 2025-3-30 22:53
An Overview of Computation-in-Memory (CIM) Architectures level of parallelism, and used memory technology. This classification does not only provide an overview of existing CIM architectures with their pros and cons but also unifies the terminology that uniquely identifies these architectures. The chapter also discusses the steps in CIM design flow from 作者: Arresting 時間: 2025-3-31 03:18
Toward Spintronics Non-volatile Computing-in-Memory Architectures using spin devices, including in-memory logic computing and in-memory neural network computing architectures. In this chapter, the focus is mainly on the implementation of in-memory logical/numerical computation using spintronics memory technology and the realization of spintronics neural network 作者: backdrop 時間: 2025-3-31 07:08
Is Neuromorphic Computing the Key to Power-Efficient Neural Networks: A Surveymodern industry theoretically allows unlimited growth; however, in reality, the dreaded power-wall problem in the parallel computing paradigm limits us from exploiting the true potential of AI. Modern neuromorphic accelerators present a lucrative alternative to the traditional artificial neural netw作者: Dissonance 時間: 2025-3-31 11:31 作者: Electrolysis 時間: 2025-3-31 16:23
An Active Storage System for Intelligent Data Analysis and Managementge, intelligent analysis, and automated management. However, traditional computing-centric storage system design suffers from performance issues caused by data movement and fails to satisfy the demand for intelligent data storage systems. Thereby, we propose an active storage system based on the nea
