Secure computation on private data has been an active area of research for many years and
has received a renewed interest with the emergence of cloud computing. In recent years …

Heterogeneous computing involves the combined use of processing elements with different
architectures and is widely considered a prerequisite in the quest for higher performance …

In this work we present a microbenchmark methodology for assessing the overheads
associated with nested parallelism in OpenMP. Our techniques are based on extensions to …

In recent years hardware accelerators have become a full part of the HPC domain as their
peak performance has increased steadily. Although their programmability has greatly …

It is attractive to use the OpenMP as a parallel programming model on a multiprocessor
system-on-chip (MPSoC) because it is easy to write a parallel program in the OpenMP and …

The conventional clustering algorithms in data mining like k-means algorithm have
difficulties in handling the challenges posed by the collection of natural data which is often …

Implicit feedback such as video watch time is commonly seen in many internet products.
Though recommender systems with explicit feedback have been abundantly researched …

In this contribution, the potential of parallelized software that implements algorithms of digital
signal processing on a multicore processor platform is analyzed. For this purpose various …

As the proliferation of ubiquitous computing environments becomes a reality, the need for
high speed data processing and intelligent system management increases rapidly. In …

This paper presents a new version of the OMPi OpenMP C compiler, enhanced by
lightweight runtime support based on user-level multithreading. A large number of threads …