Exascale systems of the future are predicted to have mean time between node failures (MTBF) of less than one hour. At such low MTBF, the number of processors available for execution of a long running application can widely ...

In the last decade, a lot of machine learning and data mining based approaches have been used in the areas of intrusion detection, malware detection and classification and also traffic analysis. In the area of malware ...

CMOS technology scaling is bringing new challenges to the designers in the form of new failure modes. The challenges include long term reliability failures and particle strike induced random failures. Studies have shown ...

The effective use of GPUs for accelerating applications depends on a number of factors including effective asynchronous use of heterogeneous resources, reducing data transfer between CPU and GPU, increasing occupancy of ...

Real world systems like biological, social, technological, infrastructural and many others can be modeled as networks. The field of network science aims to study these complex networks and understand their structure and ...

The information flow through the regulatory networks in biological systems has been a rapidly growing field of research. Translation, being a very important regulatory check point, presents itself as a legitimate process ...

There has been a tremendous growth in the use of Graphics Processing Units (GPU) for the acceleration of general purpose applications. The growth is primarily due to the huge computing power offered by the GPUs and the ...