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Data Processing on the Google Cloud Platform: from MapReduce to Dremel

The next lecture in the SHARCNET @ Conestoga seminar series is entitled “Data Processing on the Google Cloud Platform” and features Oleg Golubitsky, a Software Engineer at Google. The lecture is scheduled for Tuesday, February 24, from 17:00 to 18:00 in Room 2A301 at the Doon campus. Abstract This seminar will cover two data processing

 
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Why Would I Use Graphics Processing Units?

Please join other IT faculty and students for the next invited SHARCNET lecture, entitled “Why Would I Use Graphics Processing Units?” to be presented by Pawel Pomorski, High Performance Computing Programming Specialist, SHARCNET and Compute Canada. Date: Tuesday, January 27, 17:00 to 18:00 Location: Conestoga College Doon campus, room DMB-2A301 Abstract: Graphics Processing Units (GPUs)

 
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Conestoga to host Compute Ontario Research Day 2015

Conestoga College will host Compute Ontario Research Day on May 21, 2015 at the Cambridge Campus. Compute Ontario, formerly named the SHARCNET Research Day, is a premier annual conference where Ontario researchers meet to learn about each other’s high performance computing projects. This conference is a collaborative event between Conestoga College, SHARCNET, University of Toronto’s

 
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SQL Anywhere achieves world-best TPC-C benchmark

My former colleagues at Sybase/SAP have recently published a remarkable TPC-C benchmark result for a 750Gb SQL Anywhere 16 database on a Dell PowerEdge T620 server with 128GB of RAM using Microsoft Windows 2012, simulating 90,000 users. The benchmark is noteworthy because it sets an all-time record for price/performance with the TPC-C benchmark: 112,890 tpmC

 
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An Introduction to SHARCNET

On Monday, November 24 we are pleased to welcome Pawel Pomorski of SHARCNET and Compute Canada as he gives an introductory talk on SHARCNET, the Shared Hierarchical Academic Research Computing Network. SHARCNET is a consortium of 18 Canadian academic institutions, including Conestoga College, who share a network of high performance computers. With this infrastructure the

 
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