Accelerating Data Science
Event details
| Date | 28.04.2016 |
| Hour | 10:30 › 11:30 |
| Speaker | Prof. Gustavo Alonso, Systems Group, Department of Computer Science, ETHZ |
| Location | |
| Category | Conferences - Seminars |
Data science or big data, whatever one wants to call it, raises important challenges in terms efficient processing. On the one hand, the application demands are becoming more stringent (more data, more complex analysis, faster results, larger workloads, etc.). On the other hand, hardware and computing platforms are in a complex phase with little stability in terms of architectures and lacking an overall direction. In this talk I will discuss the problem, arguing that there is an opportunity for specialized designs departing from general purpose systems. I will illustrate the point with examples from our research and then show how we are exploiting reconfigurable hardware (FPGAs) to explore a wide range of architectural designs, new algorithms for data processing, and redesigning the entire system stack to better support data science.
Practical information
- General public
- Free
Organizer
- Prof. Anastasia Ailamaki
Contact
- Dimitra Tsaoussis-Melissargos