The significant decline in the cost of genome sequencing has dramatically changed the
typical bioinformatics pipeline for analysing sequencing data. Where traditionally, the …

The growing popularity of convolutional neural networks (CNNs) along with their complexity
has led to the search for efficient computational platforms suitable for them. Resistive …

Genome analysis benefits precise medical care, wildlife conservation, pandemic treatment
(eg, COVID-19), and so on. Unfortunately, in genome analysis, the speed of data processing …

Rowhammer is a security vulnerability that arises due to the undesirable electrical
interaction between physically adjacent rows in DRAMs. Bit flips caused by Rowhammer …

This book provides a structured introduction of the key concepts and techniques that enable
in-/near-memory computing. For decades, processing-in-memory or near-memory …

With the ability to help wildlife conservation, precise medical care, and disease
understanding, genomics analysis is becoming more and moe important. Recently, with the …

This work seeks to leverage Processing-with-storage-technology (PWST) to accelerate a key
bioinformatics kernel called k-mer counting, which involves processing large files of …

Three-dimensional (3D) integration has frequently been described as a means to overcome
scaling bottlenecks, and advance both “More Moore” and “More Than Moore” through the …

The COVID-19 pandemic brought Bioinformatics into the spotlight, revealing that several
existing methods, algorithms, and tools were not well prepared to handle large amounts of …

High-performance heterogeneous computing systems are suitable for big-data applications.
However, the use of off-chip interconnects (eg, PCIe in discrete CPU and GPU based …