1. Big Data Meets Big Science.
- Author
-
Wright, Alex
- Subjects
- *
PARALLEL computers , *SCIENTIFIC apparatus & instruments , *SCIENCE databases , *BIG data , *CLOUD computing , *QUANTUM computing , *ALGORITHMS , *MOORE'S law - Abstract
The article focuses on the limitations of massively parallel computing in the analysis of data from next-generation scientific instruments. It states that powerful large-scale scientific instruments, such as the Large Synoptic Survey Telescope which is scheduled to go live in 2020, produce more data than the most powerful massively parallel supercomputers can handle. It mentions that scientists are examining new methods of reducing datasets to a manageable size, including cloud-based computing and emerging frameworks like quantum computing, and talks about algorithmic and economic constraints facing large scale data analysis. Massachusetts Institute of Technology professor Scott Aaronson suggests that Moore's Law has effectively broken down.
- Published
- 2014
- Full Text
- View/download PDF