of Silicon Valley Presents:
Speaker: Lakshmi Mandyam, Director of Server Systems and Ecosystem, ARM
Featuring a Special Introduction by IEEE Computer Society President, David Alan Grier- President Grier will also be available to meet before and after the presentation.
Time: 6:30 PM (PT) Networking/Refreshments, 7:00 PM Presentation
Location: Cadence / Bldg 10, 2655 Seely Ave, San Jose, CA (map)
The recent growth of data-intensive mobile devices and rise of cloud companies like Facebook, Google, and Amazon has driven a major shift in the types of workloads run in large cloud data centers. Now much of the emphasis is on many light computing tasks with lots of parallelism and frequent use of large amounts of data. Furthermore, the energy efficiency of each processor is rapidly growing more important. These trends have led to ARM chip adoption in the datacenter. Last year ARM announced 64-bit designs for servers, so in the next year when ARM licensees start producing the processors, big things should happen in the data center.
This presentation will detail the latest in ARM server design, share some of the initial comparison data between ARM and incumbent server platforms, discuss the shifting ecosystem supporting the changing market trends, and preview the changes coming to ARM v8.
Sponsored by: ARM Ltd
Lakshmi Mandyam is the Director of Server Systems and Ecosystems at ARM where she leads ARM’s initiatives on Servers. She has been at ARM for more than 4 years where she led ARM’s market initiatives for Enterprise Networking and Wireless Infrastructure, Set-top-Boxes and Storage. Prior to ARM she worked in a variety of engineering, marketing and management roles at various companies including Freescale semiconductor and ColdWatt, building technology for enterprise applications. She has a BSEE from the University of Texas at Austin. At ARM she is delighted to be able to change peoples’ perceptions about being able to deliver high performance enterprise solutions in a energy efficient mobile power profile.
Web site: http://sites.ieee.org/scv-cs
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