Analog Circuits and Analog Computing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Circuit and Signal Processing".
Deadline for manuscript submissions: 15 December 2024 | Viewed by 484
Special Issue Editor
Special Issue Information
Dear Colleagues,
Recently, we have witnessed a resurgence of analog computing, which is motivated by the strong demand for developing high-throughput and energy-efficient computers for accelerating data-intensive applications in the post-Moore era. It is also the result of the continuous interest in exploring unconventional computing paradigms, which is fueled by today’s advanced CMOS technology and emerging resistive memory concepts. Analog circuits inherently demonstrate immense computing parallelism, which endows analog computing with fast speed and low computational complexity. There have been widespread investments into analog computing, by using conventional or novel hardware technologies that concern computational acceleration or fusing memory and computing, in order to seek for computer performance breakthroughs in applications such as scientific computing and artificial intelligence. It is highly promising that analog computing in modern times will be substantially different from its past versions, and its development should make a key contribution to the sustainable development of the computer industry.
In this framework, the aim of this Special Issue is to attract reviews and original research outcomes related to the design of analog circuits and their applications to analog computing.
The topics of interest for this Special Issue include but are not limited to:
- CMOS analog circuits for solving differential equations or linear algebraic problems;
- CMOS analog circuits for neuromorphic computing and engineering;
- Analog computing with emerging resistive memory for implementing logic gates, performing matrix operations, or emulating synapse/neuron functions;
- In-memory computing using analog physical laws, with SRAM, DRAM, or nonvolatile resistive memory devices;
- Addressing noise and accuracy issues of analog computing;
- Analog–digital hybrid architectures for high-precision analog computing.
Prof. Dr. Zhong Sun
Guest Editor
Manuscript Submission Information
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Keywords
- analog computing
- analog CMOS
- resistive memory
- neuromorphic
- in-memory computing
