Parallel Computing Summer School 2019

About the Summer School

Multicore processor architecture has became dominant in todays computing environment. Multicore processors are used in different computing environments starting from personal mobile devices to large scale servers. These architectures facilitate to parallelize different applications. The underlying computing capacity can be utilized by writing code with parallel programming constructs.

This summer school focuses on different aspects of Parallel Computing. Parallelism exists in software as well as hardware. The summer school aims to share different parallel programming environments like Threading, OpenMP, MPI, CUDA and its usage in different High Performance Computing areas. The thirst research areas like Deep Learning GPU Architectures, usage of HPC Clusters in AI and related tools are the topics of discussion.

This Summer School is being conducted in association with National Supercomputing Mission(NSM)


Objectives of the Summer School

  • To explore different Parallel Programming paradigms.
  • To explore Graphics Processing Unit (GPU) Architecture and CUDA Programming
  • To understand role of GPU in Deep Learning & AI
  • To motivate the research community for exploiting the associated potential areas of research