With the rapid development of next-generation sequencing technology, ever-increasing
quantities of genomic data pose a tremendous challenge to data processing. Therefore …

High-throughput experiments enable researchers to explore complex multifactorial diseases
through large-scale analysis of omics data. Challenges for such high-dimensional data sets …

Motivation: As the quantity of data per sequencing experiment increases, the challenges of
fragment assembly are becoming increasingly computational. The de Bruijn graph is a …

In the past decade, next-generation sequencing (NGS) enabled the generation of genomic
data in a cost-effective, high-throughput manner. The most recent third-generation …

De novo whole genome assembly reconstructs genomic sequences from short, overlapping,
and potentially erroneous DNA segments and is one of the most important computations in …

A ball detection and tracking approach in real soccer game is proposed in this paper. In view
of difficulties of direct detection, an indirect strategy based on non-ball elimination is applied …

Metagenome assembly is the process of transforming a set of short, overlapping, and
potentially erroneous DNA segments from environmental samples into the accurate …

Hybrid MPI+ Threads programming has emerged as an alternative model to the “MPI
everywhere” model to better handle the increasing core density in cluster nodes. While the …

From the Foreword:" The authors of the chapters in this book are the pioneers who will
explore the exascale frontier. The path forward will not be easy... These authors, along with …

As the core density of future processors keeps increasing, MPI+ Threads is becoming a
promising programming model for large scale SMP clusters. Generally speaking, hybrid …