MASSIVE 2014 - Workshop on Massive Data Algorithmics

Tremendous advances in our ability to acquire, store and process data, as well as the pervasive use of computers in general, have resulted in a spectacular increase in the amount of data being collected. This availability of high-quality data has led to major advances in both science and industry. In general, society is becoming increasingly data driven, and this trend is likely to continue in the coming years.
The increasing number of applications processing massive data means that in general focus on algorithm efficiency is increasing. However, the large size of the data, and/or the small size of many modern computing devices, also means that issues such as memory hierarchy architecture often play a crucial role in algorithm efficiency. Thus the availability of massive data also means many new challenges for algorithm designers.
The aim of the workshop on massive data algorithmcs is to provide a forum for researchers from both academia and industry interested in algorithms for massive dataset problems. The scope of the workshop includes both fundamental algorithmic problems involving massive data, as well as algorithms for more specialized problems in, e.g., graphics, databases, statistics and bioinformatics. Topics of interest include, but are not limited to:
- I/O-efficient algorithms
- Cache-oblivious algorithms
- Memory hierarchy efficient algorithms
- Streaming algorithms
- Sublinear algorithms
- Parallel algorithms for massive data problem
- Engineering massive data algorithms