BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Accelerating Data Science 
DTSTART:20160428T103000
DTEND:20160428T113000
DTSTAMP:20260428T063132Z
UID:508df8a34b3ff7112f0c70954a409d4a93021265be1e1ec1c22682b3
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Gustavo Alonso\, Systems Group\, Department of Computer 
 Science\, ETHZ\nData science or big data\, whatever one wants to call it\,
  raises important challenges in terms efficient processing. On the one han
 d\, 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 littl
 e stability in terms of architectures and lacking an overall direction. In
  this talk I will discuss the problem\, arguing that there is an opportuni
 ty 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 redesigni
 ng the entire system stack to better support data science.
LOCATION:INR 219 http://plan.epfl.ch/?zoom=20&recenter_y=5863811.95815&rec
 enter_x=730517.55838&layerNodes=fonds\,batiments\,labels\,information\,par
 kings_publics\,arrets_metro\,transports_publics&floor=2&q=INR_219
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR