The integration of graphics processing units (GPUs) on high-end compute nodes has
established a new accelerator-based heterogeneous computing model, which now …

High-quality video streaming, either in form of Video-On-Demand (VOD) or live streaming,
usually requires converting (ie, transcoding) video streams to match the characteristics of …

The objective of this article is to present a framework that couples cloud and high-
performance computing for the parallel map projection of vector-based big spatial data. The …

Modern computing paradigms, such as cloud computing, are increasingly adopting GPUs to
boost their computing capabilities primarily due to the heterogeneous nature of AI/ML/deep …

Video streams, either in form of on-demand streaming or live streaming, usually have to be
converted (ie, transcoded) based on the characteristics (eg, spatial resolution) of clients' …

Fast and scalable software modules for image segmentation are needed for modern high-
throughput screening platforms in Computational Biology. Indeed, accurate segmentation is …

Vertical data structure is very important for closed frequent itemset mining. All closed
frequent itemsets can be found by simply using the operations of AND/OR. However, it …

Recent developments in the field of virtualization technologies have led to renewed interest
in performance evaluation of these systems. Nowadays, maturity of virtualization technology …

The presence of many-core units as accelerators has been increasing due to their ability to
improve the performance of highly parallel workloads. General Purpose GPU (GPGPU) …

We discuss the use of cloud computing in technical (scientific) applications and identify
characteristics such as loosely-coupled and data-intensive that lead to good performance …