In order to handle data efficiently, as required in a web tele-training application, for each type of information maintained, different strategies must be deployed according to their behaviour and structure.
We present high performance in-core and out-of-core shared-memory algorithms for GWAS: by taking advantage of domain-specific knowledge, exploiting multi-core parallelism, and handling data efficiently, our algorithms attain unequalled performance.
Since then, phone logs have been studied in order to infer relationships between the volume of communication and other parameters (see e.g. [9]), but the apparition of mobile phone data in massive quantities, and of computers and methods that are able to handle those data efficiently, has definitely made a breakthrough in that domain.
Existing mobile standards are neither designed to handle small-sized data efficiently nor to support simultaneous access of thousands of devices.
It is important to handle these huge data efficiently and scientifically to understand the cell as a system and to develop new applications in biotechnology and biomedical fields.
Three-dimensional chips can handle data more efficiently because data has to travel less distance to reach a different component.
Early versions of OneNote have been criticized by some users for not handling large collections of data efficiently.
The growth of Next Generation Sequencing technologies presents significant research challenges, specifically to design bioinformatics tools that handle massive amount of data efficiently.
Essentially, big data refers to the concept that data is nowadays available in an abundance that was never known before, that data-processing technology is capable of handling huge amounts of data efficiently, and that therefore there are large and primarily economic opportunities for exploiting this data.
Providing bioinformatics training to empower life scientists to handle and analyse their data efficiently, and progress their research, is a challenge across the globe.
Visualization approaches are today called upon to handle huge amounts of data, efficiently analyze them and deliver the knowledge to the user in a visual way that is concise, coherent and easy to comprehend and interpret.
