In order to facilitate flexible network service virtualization and migration, network functions
(NFs) are increasingly executed by software modules as so-called “softwarized NFs” on …

Content-addressable memory (CAM) has been part of the memory market for more than five
decades. CAM can carry out a single clock cycle lookup based on the content rather than an …

We propose a novel edit distance-tolerant content addressable memory (EDAM) for energy-
efficient approximate search applications. Unlike state-of-the-art approximate search …

This paper proposes a novel Hamming distance tolerant content-addressable memory (HD-
CAM) for energy-efficient in-memory approximate matching applications. HD-CAM exploits …

We propose finite-alphabet equalization, a new paradigm that restricts the entries of the
spatial equalization matrix to low-resolution numbers, enabling high-throughput, low-power …

The growing need for approximate matching in data-intensive applications, such as data
analytics, machine learning, deep learning, and computational genomics has driven the …

All-digital millimeter-wave (mmWave) massive multi-user multiple-input multiple-output (MU-
MIMO) receivers enable extreme data rates but require high power consumption. In order to …

All-digital basestation (BS) architectures enable superior spectral efficiency compared to
hybrid solutions in massive multi-user MIMO systems. However, supporting large …

A 10-nm compute-near-memory (CNM) accelerator augments SRAM with multiply
accumulate (MAC) units to reduce interconnect energy and achieve 2.9 8b-TOPS/W for …

Power consumption of multi-user (MU) precoding is a major concern in all-digital massive
MU multiple-input multiple-output (MIMO) base-stations with hundreds of antenna elements …