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Design and Tool Solutions for Monolithic Three-Dimensional Integrated Circuits
This chapter is to identify the benefits and challenges of monolithic three-dimensional integrated circuits and to introduce physical design and tool...
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Posit for DNN Architectures
This chapter discusses the Posit number system, which is proposed as an alternative to the floating point representation. The chapter explains how...
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RNS for DNN Architectures
Modern Deep Learning models keep growing in depth and number of parameters and require a huge amount of elementary arithmetic operations, the...
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Conventional Number Systems for DNN Architectures
The two conventional number systems, namely the floating point and fixed point, are commonly used in almost all general-purpose DNN engines. While...
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SAHF-LightPoseResNet: Spatially-Aware Attention-Based Hierarchical Features Enabled Lightweight PoseResNet for 2D Human Pose Estimation
In recent years, 2D human pose estimation (HPE) has become increasingly important in complex computer vision tasks, including understanding human...
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A Fuzzy Logical RAT Selection Scheme in SDN-Enabled 5G HetNets
Mobile communication systems are witnessing an ongoing-increase in connected devices and new types of services. This considerable increase has led to...
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Research on Psychological Testing Methods of Criminal Suspects Based on Multi-features of EEG
P300 is a commonly used indicator for testing the psychology of criminal suspects, but it has problems such as weak signal and large amount of...
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Using MPIs Non-Blocking Allreduce for Health Checks in Dynamic Simulations
Large-scale simulations often require frequent checks on global conditions that are not directly needed for the computation itself. While such health...
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Parallelizable Loop Detection using Pre-trained Transformer Models for Code Understanding
Parallel programming is essential to utilize multi-core processors but remains challenging because it requires extensive knowledge of both software...
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Design of Query Based Gallery Selector and Mask-Aware Loss for Person Search
Person search is a challenging computer vision task that aims to simultaneously locate and identify a query person from panoramic images. To address...
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A Data-Centric Approach for Efficient and Scalable CFD Implementation on Multi-GPUs Clusters
Scalability is a crucial factor determining the performance of massive heterogeneous parallel CFD applications on the multi-GPUs platforms,...
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List-Based Workflow Scheduling Utilizing Deep Reinforcement Learning
Workflow scheduling is a well-known NP-complete research problem with wide applications and increasing importance. Traditionally, heuristic and...
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ε-Maximum Critic Deep Deterministic Policy Gradient for Multi-agent Reinforcement Learning
In Multi-Agent Reinforcement Learning, the agents are vulnerable to the other agents and the training environment, which can lead to agents’ policy...
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Chemistry of Conductive Solutions
This second chapter starts by introducing the chemical scenario where bio/CMOS interfaces usually work. In fact, it discusses the chemistry of...
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Nanotechnology for Checking Surface Immobilization
This chapter is the first of several chapters that address nanotechnology. In the context of this book, the use of nanotech is proposed to both...
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Co-design of a Full Bio/CMOS Interface
While this book closes with the appendixes, this chapter closes the aim of the book by giving the opportunity to see how co-design a full...
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Target/Probe Interactions
This chapter is about interactions between molecules. The main aim here is to show how biological macromolecules interact with each other or with...
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Nanotechnology to Enhance Charge Transfer
This chapter is the third chapter of this book that deals with nanotechnology. Similar to the previous chapter, nanotechnology is again proposed here...
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In-Memory Computing Using FLASH Memory
FLASH is a type of electrically erasable read-only memory (EEPROM), where the program code is usually stored. It requires high programming voltages...
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MRAM-Based In-Memory Computing
Magneto-resistive RAM (MRAM) is an emerging non-volatile memory technology with a very wide range of potential applications. In particular,...