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
- Intro on Parallel Programming
- From GPU to GPGPU
- CUDA Architecture and Programming overvie
- CUDA Libraries
Module 2
- Tools for Profiling and Debugging CUDA Codes
- OpenACC – Quick Porting on GPUs using Directives
- Recent CUDA updates
For all your Product/Training/Services,
Please Contact:hpc@gte-india.com / training@gte-india.com