In embedded systems, modeling the performance of off-the-shelf processors is very important to
enable the designer to estimate the capability of each candidate processor against the target
application. Considering the large number of available embedded processors, the need has increased
for building an infrastructure by which it is possible to estimate the performance of a given
application on a certain processor with a minimum of time and resources. This paper presents
the use a Xilinx MicroBlaze softcore processor as a reference model augmented by FPGA-based
profiling mechanism to extract the functional statistics that characterize the target application.
Linear regression analysis is implemented for mapping the application functional behavior on the
reference model (MicroBlaze) to the performance of the candidate processors.
China’s Moon Rover Lands Safe and Sound, Starts Snapping Pics
Daily Tech, Dec 16, 2013
In order to coax the moon probe into a gentle landing, the Chinese lander was equipped with
state-of-the-art mini rockets, which allowed it to gently hover above the lunar surface.
This allowed it to avoid small boulders and large rocks that littered parts of its Sinus
Iridum (Bay of Rainbows) landing site.
How will big data evolve in 2014? The future is anyone's guess, of course, but we thought we'd
compile a tasty holiday assortment of prognostications from executives working in the big data
trenches. So without further delay, here they are -- six big data predictions for next year:
The Department of Defense purchases nearly 7 million types of products and does business with 2.7 million
supplier companies, according to government records. Knowing what products and parts are stocked in DoD
warehouses worldwide is not only a challenge for military logistics personnel, but also for suppliers who
need information on products the DoD keeps in stock.
Predictions for 2014: Big Data, Cloud and Hadoop to Transform Business
Yves de Montcheuil
Insights, Jan 2, 2014
Big Data was arguably one of the most hyped concepts of 2013 -- and for good reasons.
The second half of 2013 saw more and more big data projects move from the sandbox/proof-of-concept
to production. Cloud computing is in a very different phase: we are now far past the initial hype
and entering a new era of hybrid deployments, where the cloud extends transparently to the data center.
In 2014, we can expect the following developments in both of these areas:
In 2014, for the first time we’ll see marketers begin using big data to optimize their digital advertising
in ways that integrate seamlessly with people’s busy lives generating highly relevant, meaningful
interactions. RadiumOne predicts marketers’ data-centric demands will power three major ad tech
industry evolutions in the coming year: