How to Build an 8-Core Hyper-threaded Computer on a Budget
Presented by IEEE Foothill Section Computer Society
It can be difficult to find a computer exactly the way that one wants or needs just sitting on the shelf in a store. Some companies offer custom made ones but with a price to match. Additionally, no one source has all of the things that one would want. Quality becomes another issue as most people shop with price as a major controlling factor so companies are parsimonious in procuring the components.
Dr Morantz has combined his Electrical Engineering, Computer Science, Mathematics, and good common sense to build an 8-core hyperthreaded monster computer with strong performance and reliability while working with a financial budget to fits his own needs and desires.
This presentation covers this project from design phase to completion. This whole project took several months and has been very rewarding, both in having the computer that he needs and wanted, and in being a learning process. Much knowledge and experience was gained in the process. Dr Morantz will go through the steps explaining what he did and why.
Date and Time
Location
Hosts
Registration
- Date: 12 May 2021
- Time: 06:00 PM to 07:00 PM
- All times are (GMT-08:00) US/Pacific
-
Add Event to Calendar
- Starts 30 March 2021 02:40 PM
- Ends 12 May 2021 02:00 PM
- All times are (GMT-08:00) US/Pacific
- No Admission Charge
Speakers
Dr Moranz of Cognitive Decisions
Biography:
Dr Morantz has a BS in CIS and EE, a MS and PhD in Decision Science, a mixture of mathematical science, psychology, and computer science, with a minor in Computer Science. He has post doctoral studies in Computational BioScience, Statistical Design Methodology, and Design Analysis Simulation Experiments (DASE) as well as 150 hours from Raytheon Learning Institute.
Dr Morantz has published and presented on neural networks, multiprocessing mathematics, biologically inspired computing architecture, and data-mining. He has worked many years in defense research and consumer and automotive electronics. His current research is in autonomous intelligent systems, also called machine-cognition. His Website www.machine-cognition.com has various presentations, papers, and references.
He is currently tech fellow at Cognitive Decisions. In the IEEE, Dr Morantz is a Life Senior member, the Vice-Chair of the Phoenix Computer Society, and member of both the Computational Intelligence Society and the Information Theory Society.
Agenda
Welcome and Introduction
Technical Presentation
Q & A
Announcements