SUITABLE FOR Software Development Managers, Software Engineers, Developers, Requirements Engineers, Requirements Analysts Test Managers, Test Engineers, Testers. INTRODUCTION GPGPUs have recently been utilized in various domains, including high performance computing and computational finance targeted for numerous end applications. They can be regarded as massively parallel processors with multiple-time faster computation and higher memory bandwidth compared to CPU. The speed up and lower cost from this system means that business critical computation can be performed in real-time and not rely on overnight computation jobs for data analysis. This course will cover in-depth topics of both GPU architecture and CUDA Programming models. It also includes basic and advance techniques of CUDA programming for NVIDIA GPGPU cards with profiling methods discussed. This will lead to using CUDA and integrate it with your system to achieve the best performance by utilizing the ultra-speed big data processing. LEARNING OUTCOMES Upon completion, participants should be able to demonstrate each of the following: i. Understand the technique of utilizing GPGPU architecture in your own system ii. Ability to program CUDA and understand parallel programming.

1. (wholly-owned by Universiti Sains Malaysia)
(Co. No. 473883-H)
Dates : 7 & 8 April 2014 (Monday & Tuesday).
Time : 9:00 a.m. – 5:00 p.m.
Venue : School of Computer Science, Universiti Sains Malaysia, Penang.
HRDF Claimable*
*Subject to HRDF Approval
COURSE FEE
(Covers course materials, refreshment including lunches and
Certificate of Attendance)
MYR 1,400.00 per participant
GROUP: MYR 1,250.00 per participant
(Minimum 3 participants from the same company /
organisation)
STUDENT: MYR 1,000.00 per participant
(Proof of I.D. is compulsory)
(Not entitled for group discount)
in collaboration with:in collaboration with:in collaboration with:in collaboration with:
SUITABLE FOR
Software Development Managers, Software Engineers, Developers, Requirements Engineers,
Requirements Analysts Test Managers, Test Engineers, Testers.
PRE-REQUISITE
No prior knowledge on GPGPU programming or CUDA is not required, but participants should have
working knowledge on C/C++ programming language.
*IMPORTANT: All participants are recommended to bring along laptop/notebook for hands-on session,
preferably with GPU card and installed with at least CUDA4.2 SDK.
PUSAT PENGAJIAN SAINS KOMPUTER
SCHOOL OF COMPUTER SCIENCES

2. INTRODUCTION
GPGPUs have recently been utilized in various
domains, including high performance computing and
computational finance targeted for numerous end
applications. They can be regarded as massively
parallel processors with multiple-time faster
computation and higher memory bandwidth compared
to CPU. The speed up and lower cost from this system
means that business critical computation can be
performed in real-time and not rely on overnight
computation jobs for data analysis.
This course will cover in-depth topics of both GPU
architecture and CUDA Programming models. It also
includes basic and advance techniques of CUDA
programming for NVIDIA GPGPU cards with profiling
methods discussed. This will lead to using CUDA and
integrate it with your system to achieve the best
performance by utilizing the ultra-speed big data
processing.
LEARNING OUTCOMES
Upon completion, participants should be able to
demonstrate each of the following:
i. Understand the technique of utilizing GPGPU
architecture in your own system
ii. Ability to program CUDA and understand parallel
programming.
COURSE METHODOLOGY
This Course will utilize a combination of lecture,
discussions, role-playing, and practice/ hands-on
session and group discussion.
SYSTEM REQUIREMENT
1. CUDA-CAPABLE GPU
Refer to https://developer.nvidia.com/cuda-gpus
2. OPERATING SYSTEM:
Microsoft Windows XP, Vista, 7, or 8 or Windows
Server 2003 or 2008
Linux (Fedora 16, RHEL 5.x/6.x, Ubuntu
11.10/10.04, OpenSuse Server SP1/SP2
MAC OS X
3. NVIDIA CUDA TOOLKIT (available at no cost from):
https://developer.nvidia.com/cuda-downloads
4. MICROSOFT VISUAL STUDIO 2008 or 2010, or a
corresponding version of Microsoft Visual C++
Express.
ENQUIRIES
Technical :
Dr. Nurul Hashimah Ahamed Hassain Malim
School of Computer Sciences
Universiti Sains Malaysia, Penang.
(T) : +604–653 4645
(M) : +6019–313 1449
(E) : nurulhashimah@cs.usm.my
Registration and others:
Khairol Anuar Hazir Mohammed
USAINS Holding Sdn. Bhd.
(DL) : +604–653 4372
(M) : +6012–286 9048
(E) : khairol@usainsgroup.com /
khairol_usains@yahoo.com
INSTRUCTOR PROFILE
DR. ETTIKAN KK
Dr. Ettikan KK, holds a Ph.D (in the area of Distributed
Computing), MSc. and BSc. (in Computer Science) is currently
attached to MIMOS Bhd, Accelerative Technologies Laboratory
of ICT Division as the Principal Researcher.
With more than 18 years of industrial experiences with leading
MNC companies, encompasses different Lead capacity roles in
the areas of organization, division level Research Definition &
Management, Team Leadership in Software Architecture,
Design Architecture, Solution Architecture, direct technical and
research experiences (in embedded software engineering) that
produces world marketable R&D products with rapid results into
commercialisation.
His current research activities are in the area of Network
Protocols, GP/GPU, FPGA, Many/Multicores, Distributed
Computing, P2P, AV, QoS, BI (Business Intelligence in Data
Processing, BigData Analytics, Algorithm Design/Optimization
and System Performance Acceleration). During this period he
was instrumental and lead in establishing a “GPU R&D and
Compute Solution Centre” (http://gpu.mimos.my) jointly funded
and governed by Nvidia, HP and MIMOS, serving as the centre
of GPGPU related R&D activities by collaborating with
international companies, universities and industry partners.
KK YONG
KK Yong joins MIMOS Berhad as a staff engineer in the parallel
computing research and development team. He is responsible
for the applied research and the application development to the
real world large data processing issues, analyse the existing
algorithms and identify the possible parallelization by
implementing and optimising algorithms through GPU CUDA a
programming.
He has a spent of over 15 years in software development,
started developing a system from the scratch, performing tests,
and deploying to the customers. Those client and server based
applications communicating with both thick client, embedded
system and worked for various commercial projects, including
active and passive RFID solution, Biometric Devices, Set-top
Box, Switch, Router, Door Access System, Time Attendance
System, Asset Tracking System and Guard Tour System.
He has the strong knowledge on .Net (PC based software) agile
development and C/C++ in embedded Linux. In addition, he
uses Microsoft SQL and SQLite for the database
implementation. Also, he was a certified process-based
approach for project management. He has wide project/people
management experience from the above mentioned projects.
He holds a Master Degree in Interactive Multimedia, with a
Bachelor of Science (Hons) degree in Information Technology
and Business Information System. His research area is NLP
(Natural Language Processing), Software Engineering, Parallel
Processing and has published and present papers in
International conferences.

3. INTRODUCTION TO GPGPU AND PARALLEL COMPUTING
(GPU Architecture and CUDA Programming Models)
Course Contents and Tentative Schedule
DAY 1 - INTRODUCTION TO CUDA PROGRAMMING
TIME TOPIC
9:30 – 10:30 a.m. 1. Notion of parallel Computing with GPUs, From GPUs to
GPGPUs
2. Introduction to CUDA Architecture
10:30 – 11.00 a.m. Break
11.00 a.m. – 12:30 p.m. 3. Getting your system ready with CUDA
4. Hands-on: Compiling and Executing Hello World First Kernel
12:30 – 2.00 p.m. Lunch
2:00 – 3:30 p.m. 5. CUDA Programming Model
6. Hands-on: Working on CUDA Kernels
3:30 – 4:00 p.m. Break
4:00 – 5:00 p.m. 7. CUDA Memory Model
8. Hands-on: CUDA Thread Operation
DAY 2 - SHARED MEMORY AND DEBUGGING TOOLS
9:30 – 10:30 a.m. 9. Shared Memory with Asynchronous operation
10:30 – 11.00 a.m. Break
11.00 a.m. – 12:30 p.m. 10. Hands–on: Matrix Multiplication & Reversed Array
11. CUDA API and Debugging
12:30 – 2.00 p.m. Lunch
2:00 – 3:30 p.m. 12. Knowing about Tools: Visual Profiler, Parallel Nsight, cuda-gdb
13. CUDA enabled Libraries – Thrust
3:30 – 4:00 p.m. Break
4:00 – 5:00 p.m. 14. Hands-on: Thrust Exercises
Disclaimer
The Organizer reserves the right to reschedule or cancel any part of its published programme or venue due to unforeseen
circumstances and will not accept liability for costs incurred by participants or their organizations for the cancellation of travel
arrangements and/or accommodation reservations because of the course being cancelled or postponed. Advance notice will be
given if there is such a change or cancellation.

4. INTRODUCTION TO GPGPU AND PARALLEL COMPUTING
(GPU Architecture and CUDA Programming Models)
Send registration form to : Khairol Anuar, USAINS Holding Sdn. Bhd., Ground Floor, Kompleks
ЄUREKA, Universiti Sains Malaysia, 11800 USM PENANG.
Fax : 04-657 2210
OR
Email to : khairol@usainsgroup.com / khairol_usains@yahoo.com / usains.holding@hotmail.com
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Cheque / Bank Draft / Money Order / LO / PO must be made payable to ‘USAINS HOLDING SDN. BHD.’.
1. Bank Transfer [Please fax your Bank-in Slip (Print your name & details on the slip)].
Payee Name : USAINS Holding Sdn. Bhd.
Details : INTRODUCTION TO GPGPU AND PARALLEL COMPUTING
Name of Bank : CIMB Bank Berhad (USM Branch), Universiti Sains Malaysia, 11800 USM Penang.
Account Number : 0709-0006708-05-7
2. A Local Order (LO) or Purchase Order (PO) must be presented before the event.
The Organizer reserves the right to refrain a registered participant from taking part in the event if no proof of
payment can be presented. This only applies to registered participants who have NOT paid the registration fee
PRIOR to the event date.
3. Cancellation / Substitution
A refund less administration fee of MYR400.00 will be given for cancellations received at least 10 working days
before the start date of the course. No refund will be made after this period. However, substitute participants are
welcome at no extra charge if a written notice of at least 5 working days before the event is given to the Organizer.
REGISTRATION FORM