In recent years, the limits of the multicore approach emerged in the so-called “dark silicon”
issue and diminishing returns of an ever-increasing core count. Hardware manufacturers …

Genome sequence analysis has enabled significant advancements in medical and scientific
areas such as personalized medicine, outbreak tracing, and the understanding of evolution …

In-memory computing seeks to minimize data movement and alleviate the memory wall by
computing in-situ, in the same place that the data is located. One of the key emerging …

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 …

Motivation Sequence alignment is a memory bound computation whose performance in
modern systems is limited by the memory bandwidth bottleneck. Processing-in-memory …

Pattern searches, a key operation in many data analytic applications, often deal with data
represented by multiple states per dimension. However, hash tables, a common software …

We propose a novel dynamic storage-based approximate search content addressable
memory (DASH-CAM) for computational genomics applications, particularly for identification …

Sequence alignment is a core component of many biological applications. As the
advancement in sequencing technologies produces a tremendous amount of data on 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 …

In the last years, advances in genome sequencing technologies have enabled the
proliferation of genomic applications that guide personalized medicine. These applications …