As the limits of transistor technology are approached, feature size in integrated circuit
transistors has been reduced very near to the minimum physically-realizable channel length …

Sparse-Matrix Dense-Matrix multiplication (SpMM) is the key operator for a wide range of
applications including scientific computing, graph processing, and deep learning …

Generating the hash values of short subsequences, called seeds, enables quickly
identifying similarities between genomic sequences by matching seeds with a single lookup …

High-throughput sequencing (HTS) technologies have revolutionized the field of genomics,
enabling rapid and cost-effective genome analysis for various applications. However, the …

Sequence alignment remains a fundamental problem in computer science with practical
applications ranging from pattern matching to computational biology. The ever-increasing …

Nanopore sequencing is a widely-used high-throughput genome sequencing technology
that can sequence long fragments of a genome into raw electrical signals at low cost …

We propose a novel resistive edit distance-tolerant content addressable memory for
computational genomics applications, particularly for detection and identification of …

This article proposes a novel magnetoelectric (ME) effect-based ternary content addressable
memory (TCAM). The potential array-level write and search performances of the proposed …

DNA short read alignment task has become a major sequential bottleneck to humongous
amounts of data generated by next-generation sequencing platforms. In this paper, an …

Nanopore sequencers generate electrical raw signals in real-time while sequencing long
genomic strands. These raw signals can be analyzed as they are generated, providing an …