Healthcare provides many services such as diagnosing, treatment, prevention of diseases,
illnesses, injuries, and other physical and mental disorders. Large-scale distributed data …

Background and objective In the medical field, data volume is increasingly growing, and
traditional methods cannot manage it efficiently. In biomedical computation, the continuous …

Elucidating the biological and biochemical roles of proteins, and subsequently determining
their interacting partners, can be difficult and time consuming using in vitro and/or in vivo …

We provide a future perspective of the virtual screening field. A number of challenges will be
highlighted that virtual screening will likely face when compound data will further grow at or …

Cyber-physical systems (CPS) are physical systems with a computing and communication
center that monitors, coordinates and integrate the operations of said system. CPS enables …

In this paper we present Mimir, a new implementation of MapReduce over MPI. Mimir
inherits the core principles of existing MapReduce frameworks, such as MR-MPI, while …

The paper reviews the use of the Hadoop platform in structural bioinformatics applications.
For structural bioinformatics, Hadoop provides a new framework to analyse large fractions of …

The transition toward exascale computing will be accompanied by a performance
dichotomy. Computational peak performance will rapidly increase; I/O performance will …

Digitization era is altering several industries which include the way in which the data is
analyzed and it is inferred that about 2.7 Zettabytes of data exist in the digital world today. By …

Motivation: Predictive tools that model protein–ligand binding on demand are needed to
promote ligand research in an innovative drug-design environment. However, it takes …