Parallel Computing with GPU

LEVEL : INTERMEDIATE    HRDF : CLAIMABLE

TRAINER: Associate Professor Dr Fawnizu Azmadi Hussin 

 

WHEN

15 - 16 DECEMBER 2021

 

WHERE

MS TEAMS

(Online)

 

TIME

9.00AM - 5.00PM

 

FEE

RM 1,240 FOR PROFESSIONALS


COURSE SUMMARY

INTRODUCTION

Parallel Computing with GPU is a course offered by Universiti Teknologi PETRONAS’ Centre for Advanced and Professional Education (CAPE) either in online mode or face-to-face classroom. In this class you will learn the fundamentals of parallel computing using the CUDA parallel computing platform and programming model. This intermediate class is for developers, scientists, engineers, researchers, and students who want to learn about GPU programming, algorithms, and optimization techniques. Join this class to learn new skills, enhance your career opportunities, and most importantly have fun.

COURSE CONTENT

  • GPU programming model for modern computing.
  • GPU hardware and parallel communication architecture.
  • Fundamental parallel algorithms and parallelism.
  • Parallel computing patterns.
  • The future of GPU computing.


WHO SHOULD JOIN US TO :

  • This intermediate class is for developers, scientists, engineers, researchers, and students who want to learn about GPU programming, algorithms, and optimization techniques.


OBJECTIVES

Upon completion of this course, participants will be able to:

  • To understand the GPU programming model and how it can be leveraged for software parallelism.
  • To utilize common parallel computing patterns that can be used to enhance data intensive software.
  • To apply these parallel computing techniques on generic data analytics algorithms running on computers and laptops with NVidia GPU.





OUR TRAINERS



1. Associate Professor Dr Fawnizu Azmadi Hussin 

Associate Professor Dr Fawnizu is with the Electrical & Electronic Engineering at Universiti Teknologi Petronas for 21 years. He has held various leadership roles such as Deputy Head of E&E department (2013-2014) and Director of Strategic Alliance Office (2014-2018). Dr Fawnizu was also a Visiting Professor at Intel Microelectronics (Malaysia) in 2012-2013 and Malaysia-Japan International Institute of Technology (MJIIT-UTM) in 2020.

He has published more than 120 research papers and currently actively researching on digital circuit architectures, fault tolerant systems and new devices. He has taught courses on distributed and parallel computing, digital electronics, digital systems design, VLSI system design and co-authored a book titled CPU-based Application Transformation to CUDA, which was published in 2012.

Dr Fawnizu graduated from University of Minnesota (USA) in 1999, University of New South Wales (MSc-2001) and Nara Institute of Science and Technology (PhD-2008). He is currently the Chair of IEEE Malaysia Section (2019 & 2020). He has been an active volunteer with IEEE Malaysia since 2009. Between 2009 and 2014, he was in the executive committee of IEEE Circuits & Systems holding various portfolios until he was elected chair in 2013. Since 2015, he has been in IEEE Malaysia executive committee until he was elected chair in 2019. As a recognition from the IEEE leadership, he was awarded the 2018 Region 10 (Asia Pacific) Outstanding Volunteer Award.


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REGISTRATION FEE


MYR1,240

*fee quoted does not include SST, GST/VAT or withholding tax (if applicable).

OUR LOCATION

Centre for Advanced & Professional Education (CAPE)

 Level 16, Menara 2, Menara Kembar Bank Rakyat, 50470, Jalan Travers, Kuala Lumpur.

CALL US

+605 - 368 7558 /

+605 - 368 8485

DROP US AN EMAIL

cape@utp.edu.my