More than likely, given the advances in machine learning (sometimes also referred to as artificial intelligence or AI) as well as the move toward mass parallelization
of on-demand encoding using cloud-based transcoding infrastructures, 2019 will be the year that context-aware encoding reaches critical mass.
CSTA and ISTE(International Society for Technology in Education) presented Data Collection, Data Analysis, Data Representation, Problem Decomposition, Abstraction, Algorithms & Procedures, Automation, Simulation, Parallelization
as a key element of Computational Thinking based on the results of David Barr, John Harrison, & Leslie Conery (2011) [4, 5, 6].
In conjunction with the partnership, the system transferred into VAN comprises eight of the microfluidic mixers plumbed in a parallel configuration to enable up to 25L batches with higher volumes possible though additional parallelization
. The companies will support customers in the formulation, scale up and GMP manufacturing of nanomedicines.
Nevertheless, most of embedded software is still written as sequential and transparent support for this practice demands the parallelization
of these sequential programs.
Numerous papers  confirm that the Monte Carlo prices of LIBOR-based swaptions could not be calculated in a reasonable time without high level of parallelization
. Currently Intel processors are evolving from multicore (Intel Core) toward manycore (Intel Xeon Phi) architectures, offering massive parallelization
capabilities even on single CPU.
In this regard, the frameworks like JOMP and JaMP, were proposed to facilitate Java programmers for parallelization
technology using highly parallel dedicated computational units
note of their process parallelizing the new Non-Hydrostatic Icosahedral Model (NIM): "Scientists wrote the code, computer scientists were responsible for the directive-based parallelization
and optimization, and software engineers maintained the software infrastructure capable of supporting development, testing, and running the model on diverse supercomputer systems."
Firmiana is housed in the cloud to take advantage of parallelization
and distributed computing, as well as to facilitate data sharing.
This was achieved with full parallelization
of the fluid-solid coupled solver using spatial decomposition and high performance computers.