Workshop Introduction

The availability of various parallel computers has created a number of challenges to solve large-scale scientific, engineering and commercial applications. For example: How should parallel computers be programmed? How can the quality of parallel algorithms be analyzed? How can the tools and libraries be used to extract performance? etc. Use New Optimized Tools for Better Performance, Powerful Data AnalysisGet the answers you need today. Crunch more data, faster than ever, with the Intel® Data Analytics Acceleration Library (Intel® DAAL).

  • Increase developer productivity with an easy to incorporate analytics acceleration library.
  • Analyze big data faster to shorten the time between research and results.
  • Create software that harnesses the power of the fastest Intel® processors.

Now, 2017 version of Intel Parallel Studio XE is supported with Python* programming language. It is an open source programming language with increasing adoption by developers across many application domains with a large ecosystem of available free packages. Intel® Distribution for Python* delivers performance optimizations of these packages accelerated with the Intel® Math Kernel Library (Intel® MKL) on Intel® architecture, with an easy, out-of-the-box installation experience.


To understand the Intel multicore, many core architecture concepts and Intel software development tools to write an effective high performance computing applications.

Who should attend

Pre-final and Final Year Under Graduate students, Post Graduate Students of IIITDM Jabalpur Having some programming skills.


Registration fee: Rs 200(*Refundable)
For Registration: Click Here...!

Venue and Time

OCT 7-8, 2017, Computer Center IIITDM Jabalpur


Kiran Kannappan(Intel India)

After obtaining his Masters from Indian Institute of Science, Kiran has been working with VLSI Industry for over 15years. He has contributed and lead teams successfully in various fortune 500 companies like Intel, AMD, Cadence, Philips etc. as well as successful
startups like SeaMicro. He has wide experience in areas related to Silicon system and chip; architecture, design and verification. Strong knowledge of system hard-ware soft-ware interaction coupled with performance considerations, at various geographic cultures and association at various levels of engineering.
In recent times, he has taken a keen interest in High Performance Computing. With his strong background in Processor Architectures and SW development, he has been very successful in Code Modernization work involving CFD, Multi phase field model in metallurgical studies etc.
He has delivered over 40 Lectures on HPC at prestigious institutions like IISc, IIT, IISCER, NICER, Astrophysics etc. which have been received very well. 

Rakesh A.H.(Intel India)

Rakesh A.H. is the Senior Engineer at Embedded Systems Solutions, Bangalore. Rakesh has a Masters in Computer Networks from VTU, Belgaum. At ESS, he is technical lead for supporting and training customers on Intel Parallel Studio and other HPC Software tools. He has delivered training to customers on compiler optimization, vectorization, performance analysis and profiling using Intel tools.
He also has good knowledge of Bluetooth protocol and other high-speed serial protocols. His domain expertise also extends to USB, PCIe, SATA, SAS, FC, NVMe protocol being used in the HPC Storage.