NOC:High Performance Computing for Scientists and Engineers

Lecture 1 - Introduction to High Performance Computing

Lecture 2 - Architecture for Parallel Computing

Lecture 3 - Architecture for Parallel Computing (Continued...)

Lecture 4 - Architecture for Parallel Computing (Continued...)

Lecture 5 - Shared Memory and Distributed Memory in Parallel Computing

Lecture 6 - Shared Memory and Distributed Memory in Parallel Computing (Continued...)

Lecture 7 - Parallel Algorithms

Lecture 8 - Parallel Algorithms (Continued...)

Lecture 9 - Parallel Algorithms (Continued...)

Lecture 10 - Performance Metrics of Parallel Systems

Lecture 11 - Performance Metrics of Parallel Systems (Continued...)

Lecture 12 - Introduction to OpenMP

Lecture 13 - Introduction to OpenMP (Continued...)

Lecture 14 - Introduction to OpenMP (Continued...)

Lecture 15 - Essentials of OpenMP Programming

Lecture 16 - Essentials of OpenMP Programming (Continued...)

Lecture 17 - Data sharing and synchronization

Lecture 18 - Efficient OpenMP programming for matrix computing

Lecture 19 - Introduction to MPI and Distributed Memory Parallel Programming

Lecture 20 - Introduction to MPI and Distributed Memory Parallel Programming (Continued...)

Lecture 21 - Communication using MPI

Lecture 22 - Communication using MPI (Continued...)

Lecture 23 - Communication using MPI (Continued...)

Lecture 24 - Matrix Representation of Physical Systems - Matrix Solvers

Lecture 25 - Domain Decomposition Technique

Lecture 26 - Domain decomposition based parallelization of matrix solvers

Lecture 27 - Domain decomposition based parallelization of matrix solvers (Continued...)

Lecture 28 - Domain decomposition based parallelization of matrix solvers (Continued...)

Lecture 29 - MPI routines for parallel matrix solvers

Lecture 30 - Introduction to GPGPU and CUDA

Lecture 31 - Introduction to GPGPU and CUDA (Continued...)

Lecture 32 - Introduction to GPGPU and CUDA (Continued...)

Lecture 33 - Introduction to GPGPU and CUDA (Continued...)

Lecture 34 - Introduction to CUDA programming

Lecture 35 - Introduction to CUDA programming (Continued...)

Lecture 36 - Thread execution in CUDA program - scheduling and memory access

Lecture 37 - Thread execution in CUDA program (Continued...)

Lecture 38 - Matrix multiplications in CUDA

Lecture 39 - OpenACC programming for GPU-s

Lecture 40 - Hybrid parallelization and exascale computing