Learn · CERN

Talk1 h

Next generation hyper-scale software and hardware systems for big data analytics

Rich Friedrich · CERN

Watch At CERN

About

Building on foundational technologies such as many-core systems, non-volatile memories and photonic interconnects, we describe some current technologies and future research to create real-time, big data analytics, IT infrastructure. We will also briefly describe some of our biologically-inspired software and hardware architecture for creating radically new hyper-scale cognitive computing systems.

About the speaker

Rich Friedrich is the director of Strategic Innovation and Research Services (SIRS) at HP Labs. In this strategic role, he is responsible for research investments in nano-technology, exascale computing, cyber security, information management, cloud computing, immersive interaction, sustainability, social computing and commercial digital printing.

Rich's philosophy is to fuse strategy and inspiration to create compelling capabilities for next generation information devices, systems and services. Using essential insights gained from the metaphysics of innnovation, he effectively leads multi-disciplinary, globally distributed teams that have created several industry leading information technology products and services.

Specialties: big data analytics, cognitive systems, cloud computing, open innovation, technical leadership, internet services, technology evangelist

More at his HP Labs profile and LinkedIn .

0:00:00 Slide 1

0:05:03 Slide 2

0:05:12 Slide 3

0:23:38 Slide 4

0:24:17 Slide 5

0:26:25 Slide 6

The talk

  1. Next generation hyper-scale software and hardware systems for big data analytics 2013-09-19 · 1 h · CERN's player

Credits and licence

Institution
CERN
Department
Computing Seminar
Speaker
Rich Friedrich
Year
2013
Language
English
Subjects
Computer science
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
Who can watch
CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed