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Musings on Neural Networking

by dave on July 13, 2015


Given my last post was in November of 2013 (trust me, I’ve been busy), I figured I’d start out with a heady topic like “Neural

Networking” in an age where Deep Machine Learning and perhaps its lesser cousin, assisted Machine Learning (I’ll define in a bit), seem to be all the rage.  However, before we begin, I want to make a few things clear:

  • I’m no expert in these fields.
  • I’m musing out loud here.  You’re my audience and what you determine to be salient and what you deem junk is, well, your problem, not mine.
  • DML/AML, Neural Networking, and a whole host of other terms, acronyms, mindf**k level events, etc. are here. Deal with it.

So with such an illustrious preface, I suppose we should let the party begin.

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General Purpose GPUs for Network Analytics

by dave on November 24, 2013


So, a big deal was made about a paper from some university researchers somewhere (source here) noting the efficacy of using GPGPUs for Network Analysis (obstensibly as a

correlation sieve for all the streams of information being presented).  While this is a GREAT paper, it neglects a few critical points that someone who’s a bit more familiar with the platforms might pick up.

  1. the rise of APUs.
  2. Power consumption and Thermals
  3. Form factor

Let’s tackle these individually (and yes, in a cursory manner):

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Video: Cisco C200 M1 Overview

by dave on January 22, 2010


Cisco Systems, lnc.
Image via Wikipedia

I finally received some new servers in the Atmos lab and…well, I thought I’d share with you!!!  These are Cisco C200 M1 servers and they’re loaded out in the following config:

ProcessorsIntel Xeon 5520 (2.27Ghz quad cores w/Hyperthreading)

Memory: 4Gb DDR3 ECC/Registered x 12 for a total of 48Gb memory

NICs: Dual ServerEngines Gigabit Ethernet NICS + dedicated IPMIKVM-over-IP NIC

Enjoy the video!!!!

UPDATE:  YouTube does SD (standard definition) processing first and HD processing second.  if it looks terrible now, just wait and it’ll look better.

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Cloud Optimized Storage Solutions: Neural Networks and Heuristics

January 19, 2009

In previous Cloud Optimized Storage Solution articles, I’ve discussed the content being stored, the method of storage, as well as principles derived from data tiering.  Today, I want to jump ahead a bit and discuss how neural networks and heuristics can impact the processing of object and file data for the cloud.
One of the more […]

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Future Storage Systems: Part 6: GPU accelerated storage

November 3, 2008

In developing the Future Storage System series, I have been trying to take a part of my excitement for storage technologies and overlay them with systems/platform technology.  Typically, the storage industry lags on the platform development side of the house (mostly out of necessity).  So, part of looking at the Future Storage System was to […]

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