IEEE Design&Test Vol. 37, Issue 1
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Speaker:
Embedded Intelligence in the Internet-of-Things
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- Date: January/February
Magazine
Volume 37, Issue 1 (January/February)
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Highlights
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January/February 2020 Content
From the EIC
| • | Embedded Intelligence in the Internet-of-Things |
| View full article (PDF). |
Special Issue on Embedded Intelligence in the Internet-of-Things
| • | Guest Editors’ Introduction: Embedded Intelligence in the Internet-of-Things |
| View full article (PDF). |
| • | Embedded Intelligence in the Internet-of-Things |
| With widespread use of IoT devices in our daily life, it is imperative to incorporate analysis and decision-making capabilities in these devices. This article describes the application and technology trends leading to embedded intelligence in the IoT. View full article (PDF). |
| • | Efficient Associative Search in Brain-Inspired Hyperdimensional Computing |
| This article describes a method for efficient hypervector operations using a grouping strategy for reduced computations. Quantization is used for reducing the number of multiplications, whereas caching of magnitude is used for eliminating redundant computations.read more. View full article (PDF). |
| • | Fune: An FPGA Tuning Framework for CNN Acceleration |
| This work has the goal of minimizing digital neural network computation energy consumption with little loss in accuracy. The authors describe a Dynamic Network Surgery based approach to network pruning, after which weights are incrementally selected for approximate multiplication. read more. View full article (PDF). |
| • | Survey of Automotive Controller Area Network Intrusion Detection Systems |
| This article describes methodologies and tools for the customization of convolutional neural networks (CNNs) using fine-grained reconfiguration of FPGAs. Tuning uses dynamic programming to identify reconfiguration opportunities as well as a search algorithm for configurations. read more View full article (PDF). |
| • | Tanji: a General-purpose Neural Network Accelerator with Unified Crossbar Architecture |
| The authors describe a neural network accelerator based on crossbar interconnect. The crossbar provides a uniform architectural mechanism to handle different communication patterns for convolutional, fully connected, and recurrent layers as well as off-chip communication. read more View full article (PDF). |
Keynote Paper
| • | Energy Efficiency in 5G Cellular Network Systems |
| Fifth-generation (5G) cellular network will significantly enhance the amount of mobile data traffic. This article presents various resource allocation and power management problems in 5G cellular networks. It highlights multiple techniques that maximize the energy efficiency while meeting performance and QoS requirements. read more View full article (PDF). |
General Interest Paper
| • | The Impact of Ferroelectric FETs on Digital and Analog Circuits and Architectures |
| Semiconductor industry is steadily on the quest for emerging devices and device technologies that lead to higher performance and higher efficiency of computing over CMOS technology. This tutorial introduces the potential of emerging devices that integrate ferroelectric material into digital as well as analog circuits. With a focus on FeFET technology, the authors first present device characteristics, and advantages in comparison to CMOS but also other emerging technologies such as RRAM. The article comprehensivelydemonstrates the use of FeFET technology in circuits, architectures, and applications. |
Departments
| • | ESWEEK 2019 Conference Report |
| View full article (PDF). |
| • | The Last Byte: Big Data, Big Faults |
| View full article (PDF). |
