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10/6/2016 3:45 PM




Analytics Across the Campus

Author: Event Admin
Date of Event: October 6, 2016
Where: See us at MABUG on the Mountain (Mid-Atlantic Banner Users Group)

Time: 3:45PM

TIG will discuss who is responsible for predictive analytics on campuses, what their jobs look like, what they are working on, how it impacts their institutions and most importantly -  how they make it all happen!

Liberty University is excited to host the MABUG 2016 conference, MABUG on the Mountain, which is scheduled to take place October 6-8, 2016 in Lynchburg, Virginia.  The Mid-Atlantic Banner Users Group (MABUG) is an association of colleges and universities in Delaware, Maryland, the District of Columbia, Virginia, North Carolina, South Carolina, New Jersey, Tennessee, and West Virginia.

Number of views (1986)

9/21/2016 4:00 PM - 7:00 PM




TIG Technology Fair

Author: Event Admin
Date of Event: September 21, 2016
Where: TIG Corporate Office
10240 Flanders Ct. San Diego, CA 92121

Time: 4:00PM - 7:00PM

Access a broad range of industry leading vendors in one location dedicated to showcasing the best technology on the market today!  Get empowered by a host of knowledgeable experts on-site, down-to-business exhibits, hands -on demos, solution sessions, and face-to-face meetings.  

Number of views (2633)

7/21/2016 6:00 PM - 9:00 PM




Star Trek Movie Premiere - ALB

Author: Event Admin
Date of Event: July 21, 2016
Where: Regal Winrock, 2100 Louisiana Boulevard NE, Albuquerque, NM 87110

Time: 6:00PM - 9:00PM

Join TIG for a private movie premiere of Star Trek Beyond and learn how the Dell XC Web-Scale appliance with Nutanix delivers invisible infrastructure for next-generation performance and scalability. Don't miss this unique opportunity to see the crew of the Enterprise battle it out before anyone else!

Number of views (2750)

7/12/2016 10:00 AM - 11:00 AM




Harness the Power of Analytics Webinar

Author: Event Admin

Date of Event: July 12, 2016
Where: Web / Online
Time: 10:00 AM - 11:00 AM, Check-In: 9:30 AM (Pacific)

Harness the Power of Analytics to Thwart Security Threats
TIG’s Business Analytics Practice would like to share how to gain a new level of insight into your Security posture and IT operations through the data you collect.

This webinar will demonstrate how to turn machine data into actionable insights, and learn the “what” and “how” needed to defend against modern threats. We will highlight security solutions with Splunk.

Number of views (2469)

6/14/2016 6:00 PM - 8:00 PM




Case Study: Predicting Compute Memory Needed for a Computer Job

Author: Event Admin
Date of Event: June 14, 2016
Where: TIG Corporate Headquarters 

        10240 Flanders Court, San Diego, CA
Time: 6:00PM

Case Study: Predicting Compute Memory Needed for a Computer Job, Tuesday, June 14, 2016
6:00 PM – Networking
6:30pm -- Recap of Hackathorn, Gina Escobar
7:15pm -- Qualcomm Case Study
8:00pm -- close

Recommender System for a Compute Memory Request for a Computer Job by 

Taraneh Taghavi, Qualcomm and Maria Lupetini, Qualcomm

Billions of computer jobs are run on Qualcomm compute clusters in a year to design and test semiconductor chips.  There is a need to use all compute resources optimally, i.e. processors, storage and memory.

Currently, the engineers estimate the compute memory needed to run a job.  When compared to what is actually needed for execution, their estimates overall are too high.  This results in too much compute memory being allocated to these computer runs, and thereby reducing the ability to run other jobs on the same multi-processor server.  This reduction in throughput delays precious design and testing time.  In addition, this behavior drives compute memory purchase costs higher than necessary.

This presentation will highlight the data exploration, development, and deployment of a recommender system that predicts the amount of memory a compute job will need.  We will discuss the array of statistical and machine learning techniques we explored, and how we selected the final model.

Number of views (3813)
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