Read mapping is a fundamental step in many genomics applications. It is used to identify
potential matches and differences between fragments (called reads) of a sequenced …

The von Neumann bottleneck is imposed due to the explosion of data transfers and
emerging data-intensive applications in heterogeneous system architectures. The …

Bulk bitwise operations, ie, bitwise operations on large bit vectors, are prevalent in a wide
range of important application domains, including databases, graph processing, genome …

Read mapping is a fundamental, yet computationally-expensive step in many genomics
applications. It is used to identify potential matches and differences between fragments …

Metagenomics, the study of the genome sequences of diverse organisms in a common
environment, has led to significant advances in many fields. Since the species present in a …

Training deep neural network (DNN) models is a resource-intensive, iterative process. For
this reason, nowadays, complex optimizers like Adam are widely adopted as it increases the …

Near-data processing (NDP) architecture is promised to break the bottleneck of data
movement in many scenarios (eg, databases and recommendation systems), which limits …

With the exponential growth of cyber–physical systems (CPSs), security challenges have
emerged; attacks on critical infrastructure could result in catastrophic consequences …

Metagenomics has led to significant advancements in many fields. Metagenomic analysis
commonly involves the key tasks of determining the species present in a sample and their …

Persistent key-value store supports journaling and checkpointing to maintain data
consistency and to prevent data loss. However, conventional data consistency mechanisms …