GPU is a very powerful parallel processor with thousands of cores. It is 100 to 1000 times faster than CPU.

GPU is widely used in:
Machine Learning
Data Mining
Big Data

Signal Processing
Scientific Simulations
Robotics
Cryptography

GPU is already available in many Laptop and PC computers and can easily be used for parallel processing.

CUDA is an extension of the C language. It is developed by Nvidia and is very popular for programming GPUs.

Theory + Practice: This workshop includes theory and programming class as well as extensive hands-on exercises and problem solving session.

Official degree is issued by Sharif University of Technology upon successful completion of the programming exercises.

Day 1

8:00-12:00:

Introduction to parallel processing with GPU

GPU programming with CUDA language

12:00-1:00:

Break

1:00-6:00:

Optimization techniques

Example parallel programs on GPU

Day 2

8:00-13:00:

Extensive hands-on programming exercises on powerful GPU server

Pre-requisits: C programming.
You need to bring a laptop.

Non-Students: 585 T

Students: 385 T

Registration Deadline: 97/9/6
Workshop Date: 97/9/8-9

Registration includes: Official degree from Sharif University of Technology, 9 hours of class, 5 hours of programming exercises and problem solving session, workshop notes with all CUDA codes discussed in class, installed software and access to powerfull GPU server.