Confluences among Big Data, Finite Element Analysis and High Performance Computing
نویسندگان
چکیده
منابع مشابه
Big Data in High Performance Scientific Computing
Computation in science and engineering can be regarded as a focal point around which "revolves" the need to have knowledge of computer architecture, operating system, network technology, programming language, numerical algorithms, mathematical model, physical phenomena and theory of computation, respectively. If we discuss about the cluster or the computing center, and not about the supercomput...
متن کاملHigh Performance Computing and Big Data Analytics – Paradigms and Challenges
The advent of technology has led to rise in data being captured, stored and analyzed. The requirement of improving the computational models along with managing the voluminous data is a primary concern. The transition of the High Performance Computing from catering to traditional problems to the newer domains like finance, healthcare etc. necessitates the joint analytical model to include Big Da...
متن کاملHigh-Performance Computing and Big Data in Omics-Based Medicine
1Bioinformatics Research Unit, Institute for Biomedical Technologies, National Research Council of Italy, Segrate (MI), Italy 2Bioinformatics and High Performance Computing Research Group, Computer Science Department, Universidad Católica San Antonio de Murcia (UCAM), 30107 Murcia, Spain 3Department of Computer Science and Engineering, Center for Research Computing, University of Notre Dame, In...
متن کاملUCHPC – UnConventional High Performance Computing for Finite Element Simulations
Processor technology is still dramatically advancing and promises enormous improvements in processing data for the next decade. These improvements are driven by parallelisation and specialisation of resources, and ‘unconventional hardware’ like GPUs or the Cell processor can be seen as forerunners of this development. At the same time, much smaller advances are expected in moving data; this mea...
متن کاملBringing High Performance Computing to Big Data Algorithms
Many ideas of High Performance Computing are applicable to Big Data problems. The more so now, that hybrid, GPU computing gains traction in mainstream computing applications. This work discusses the differences between the High Performance Computing software stack and the Big Data software stack and then focuses on two popular computing workloads, the Alternating Least Squares algorithm and the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: American Journal of Engineering and Applied Sciences
سال: 2015
ISSN: 1941-7020
DOI: 10.3844/ajeassp.2015.767.774