Seminar Announcement
Venerdì 15 Dicembre 2017, ore 16,30-18,00, nell'Aula P1.6, il dottore di
ricerca Matteo Interlandi, terrà il Seminario:
“Quick Develoment Big Data
Analytics Tools"
Abstract: Implementing data processing logic in Data-Intensive Scalable
Computing (DISC) systems is a difficult and time consuming effort. Today’s
DISC systems offer many special purpose programming models and Domain
Specific Languages, but very little tooling for debugging and profiling
programs. As a result, programmers spend countless hours in stitching
together subprograms written using different APIs, and performing trial and
error debugging using log traces as evidences. To aid this effort, in the
last years I have help in building a set of tools allowing developers to
reduce the overall time to market for their Big Data Analytics. In
particular, in this talk I will describe how relational, graphs and machine
learning applications can be efficiently run at scale using the tooling I
contributed to develop."
Bio: Matteo Interlandi is a Research Scientist in the Cloud and Information
Services Lab (CISL) at Microsoft, working on scalable Machine Learning
Systems. Before Microsoft, he was a Postdoctoral Scholar in the CS
Department at the University of California, Los Angeles. Prior to joining
UCLA, he was Research Associate at the Qatar Computing Research Institute
and at the Institute for Human and Machine Cognition. He obtained his PhD in
Computer Science at the University of Modena and Reggio Emilia under the
supervision of Sonia Bergamaschi.
Each seminar allows to acquire a CFD
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