Volume 24 | Issue 12

Includes all major aspects of the design and implementation of VLSI/ULSI and microelectronic systems. Topics of special interest include: systems specifications, design and partitioning, high performance computing and communication systems, neural networks, wafer-scale integration and multichip module systems and their applications.

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Professor Krishnendu Chakrabarty
Dept. of Elect. Eng.
Duke University
Durham, NC 27708


Presents the table of contents for this issue of the periodical.

Provides a listing of current staff, committee members and society officers.

Von Neumann bottleneck, which refers to the limited throughput between the CPU and memory, has already become a major factor hindering the technical advances of computing systems. In recent years, neuromorphic systems have started to gain the increasing attentions as compact and energy-efficient computing platforms. As one of the most crucial components in the neuromorphic computing systems,... Read more on IEEE Xplore

Today’s computer architectures suffer from many challenges, such as the near end of CMOS downscaling, the memory/communication bottleneck, the power wall, and the programming complexity. As a consequence, these architectures become inefficient in solving big data problems or general data intensive applications. Computation-in-memory (CIM) is a novel architecture that tries to solve/... Read more on IEEE Xplore

Deep convolutional neural networks (DCNNs) have been successfully used in many computer vision tasks. Previous works on DCNN acceleration usually use a fixed computation pattern for diverse DCNN models, leading to imbalance between power efficiency and performance. We solve this problem by designing a DCNN acceleration architecture called deep neural architecture (DNA), with reconfigurable... Read more on IEEE Xplore