We are happy to announce exclusive Training on CUDA & OpenACC Program

Learn how to develop and optimize high performance applications for graphics processors (GPU) using CUDA.

At the end of this course you will be able to understand & write Parallel Programming using CUDA C/C++.

GT Enterprises (GTE) has been established during 1995. Since Inception we are Focused on innovative Technology . GTE has been instrumental in introducing today's world class products to Indian market to name a few VMware, VEEAM, Citrix, Red Hat, SuSe, Qt , Mathematica, Portland Group Compliers, ScaleMP , and many more products in the area of FOSS, Virtualization, Cloud , Storage, DR & Back up , Data Center Tools , IDEs & Scientific Tools , RDBMS, HPC & Virtualized HPC domain.

GTE is also focused on training and is Authorised Training Partner for VMware, Citrix, EMC, Digia Qt, RedHat, Wolfram – Mathematica, NVIDIA (CUDA) & EnterpriseDB.

NVIDIA GPU’s line of architecture is. CUDA is a parallel computing platform & programming model invented by NVIDIA. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU). With millions of CUDA-enabled GPUs sold to date, software developers, scientists and researchers are finding broad-ranging uses for GPU computing with CUDA.

Who Should Attend

• Students, Faculty and Researchers

• Researchers from Govt. Research Organizations

• Engineers/ Researchers from Industry

Prerequisite

Knowledge of C programming language.
Basic parallel programming knowledge (thread, mutex, ...)

Course Outline

Module 1

  • 1. Intro on Parallel Programming
  • 2. From GPU to GPGPU
  • 3. CUDA Architecture and Programming overview
  • 4. CUDA Libraries

Module 2

  • 1. Tools for Profiling and Debugging CUDA Codes
  • 2. OpenACC – Quick Porting on GPUs using Directives
  • 3. Recent CUDA updates

For all your Product/Training/Services, Please Contact :       hpc@gte-india.com / training@gte-india.com