14-15-16 December 2015

 University of Porto, Portugal

Porto Winter School on Graph Analytics and Application

14 -15 -16 of December 2015

Scope: Big Data has become ubiquitous, and applications from all fields are rapidly scaling up in the size of both the available data and the underlying models. To extract insights from vast amount of data efficiently, parallel programming is essential, and several new programming models and implementations have been proposed. This school is a research training event geared precisely towards large scale data analytics and it offers a set of lectures and tutorials given by leading experts from both the academia and the private sector. With complex networks being pervasive and omnipresent in many social, biological and communication systems, there will be a focus on scalable graph algorithms and on the associated high performance software platforms. The attendees are expected to gain insight into some of the state-of-the-art solutions and to improve their vision on the associated research challenges.

"By mapping relationships among high volumes of highly connected data, graph analytics unlocks more insightful questions and produces more accurate outcomes"

Mike Hoskins

Speakers

Deepak Ajwani

  Bell Labs
 Homepage
  Bio

Alessandra Sala

  Bell Labs
 Homepage
  Bio

Bin Shao

  Microsoft
 Homepage
  Bio

Toyotaro Suzumura

  IBM T.J. Watson Research Center
 Homepage
  Bio

Bruno Gonçalves

  New York University & Aix-Marseille Université
 Homepage
  Bio

Keshav Pingali

  UT Austin
 Homepage
  Bio

Donald Nguyen

  UT Austin
 Homepage
  Bio

Pedro Ribeiro

  University of Porto
 Homepage
  Bio

João Gama

  University of Porto
 Homepage
  Bio

José Mendes

  University of Aveiro
 Homepage
  Bio

Francisco C. Santos

  IST - University of Lisbon
 Homepage
  Bio

Schedule

Registration

Registrations are free and are open until the 10th of December. They include attendance of all sessions and the coffee breaks (lunch is not included, but we will provide suggestions on near restaurants).

Registrations are now closed. We have accepted 85 registration requests. We are waiting for you at Porto!

REGISTRATION IS FREE

Organizing Commitee and Advisory Board

Fernando Silva
Fernando Silva
DCC / FCUP
 Homepage
Pedro Ribeiro
Pedro Ribeiro
DCC / FCUP
 Homepage
Keshav Pingalli
Keshav Pingalli
UT Austin
 Homepage

Partners / Sponsors

Venue

Department of Computer Science, Faculty of Sciences, University of Porto

Rua Campo Alegre 1021/1055
4169-007 Porto, Portugal
+351 220 402 900

How to get to the venue with public transportation

  • By subway: the nearest subway station is "Casa da Musica" (lines A, B, C and E) at a walking distance of about 15m. For more information see the official page: "Metro do Porto" (system map in PDF)
  • By bus: the nearest bus stop is "Casa das Artes", served by four different regular lines: 200, 204, 207 and 504. This stop is right in front of the venue. For more information see the official page: STCP - Porto Public Bus (lines map)
  • By train: Porto's main train stations are "S. Bento" and "Campanha". Both are served by subway stations. Line 207 also passes trough both train stations and the bus stop at the venue.

Contacts

Fernando Silva
fds@dcc.fc.up.pt
Pedro Ribeiro
pribeiro@dcc.fc.up.pt
Keshav Pingalli
pingali@cs.utexas.edu

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