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DTSTAMP:20220706T015256Z
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DTSTART;TZID=Canada/Pacific:20200311T121500
DTEND;TZID=Canada/Pacific:20200312T134500
DESCRIPTION:The IEEE SFU Student Branch\, Young Professionals\, and Circuit
 s and Systems Society will be hosting a Matlab Workshop at SFU Big Data Hu
 b: "Accelerating and Optimizing MATLAB Code"\n\nIn this session\, we will 
 demonstrate simple ways to improve and optimize your code that can boost e
 xecution speed by orders of magnitude. We will also address common pitfall
 s in writing MATLAB code\, explore the use of the MATLAB Profiler to find 
 bottlenecks\, and introduce the use of Parallel Computing Toolbox to solve
  computationally and data-intensive problems.\n\nSome of the highlights in
 clude:\n\n• Understanding vectorization and best coding practices in MAT
 LAB\n\n• Addressing bottlenecks in your programs\n\n• Incorporating co
 mpiled languages\, such as C\, into your MATLAB applications\n\n• Utiliz
 ing parallel computing with multicore processors and GPUs\n\nCo-sponsored 
 by: IEEE Young Professionals\, IEEE SFU Student Branch\n\nAgenda: \n- Regi
 stration - 12:15 PM\n- Workshop - 12:30 PM to 1:30 PM\n- Network 1:30 PM t
 o 1:45 PM\n\nRoom: ASB 10908\, Bldg: Applied Science Building\, 8888 Unive
 rsity Drive\, Burnaby\, British Columbia\, Canada\, V5A 1S6
LOCATION:Room: ASB 10908\, Bldg: Applied Science Building\, 8888 University
  Drive\, Burnaby\, British Columbia\, Canada\, V5A 1S6
ORGANIZER:ljilja@cs.sfu.ca
SEQUENCE:3
SUMMARY:Matlab Workshop at SFU Burnaby
URL;VALUE=URI:https://events.vtools.ieee.org/m/226294
X-ALT-DESC:Description: <br /><p>The IEEE SFU Student Branch\, Young Profes
 sionals\, and Circuits and Systems Society will be hosting a Matlab Worksh
 op at SFU Big Data Hub: "<strong>Accelerating and Optimizing MATLAB Code</
 strong>"<strong>&nbsp\;</strong>&nbsp\;</p>\n<p>In this session\, we will 
 demonstrate simple ways to improve and optimize your code that can boost e
 xecution speed by orders of magnitude.&nbsp\; We will also address common 
 pitfalls in writing MATLAB code\, explore the use of the MATLAB Profiler t
 o find bottlenecks\, and introduce the use of Parallel Computing Toolbox t
 o solve computationally and data-intensive problems.&nbsp\;&nbsp\;</p>\n<p
 >Some of the highlights include:&nbsp\;</p>\n<p>&bull\; Understanding vect
 orization and best coding practices in MATLAB&nbsp\;</p>\n<p>&bull\; Addre
 ssing bottlenecks in your programs&nbsp\;</p>\n<p>&bull\; Incorporating co
 mpiled languages\, such as C\, into your MATLAB applications&nbsp\;</p>\n<
 p>&bull\; Utilizing parallel computing with multicore processors and GPUs&
 nbsp\;</p><br /><br />Agenda: <br /><ol>\n<ol>\n<li>Registration - 12:15 P
 M</li>\n<li>Workshop - 12:30 PM to 1:30 PM</li>\n<li>Network 1:30 PM to 1:
 45 PM</li>\n</ol>\n</ol>
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