Lecture 1 - Introduction to Operating System Lecture 2 - Linux Kernel Explained Lecture 3 - Mastering Linux Directory and File Management Lecture 4 - Understanding File Permissions and Ownership in Linux Lecture 5 - Mastering Linux Text Processing and File Management Lecture 6 - Linux Memory and Networking Commands Lecture 7 - Understanding Shell Scripting: Parent-Child Processes and User Input Handling Lecture 8 - Shell Scripting Tutorial for Beginners Lecture 9 - Introduction to High-Performance Computing (HPC) and Its Key Components Lecture 10 - Exploring Computing Platform Architecture and CPU Optimization Techniques Lecture 11 - Hierarchical Memory Systems and Scalable Architectures in Large-Scale Computing Lecture 12 - Concurrency and Synchronization in Parallel Programming:Techniques and Frameworks Lecture 13 - Need for Parallel Computing Lecture 14 - Role of Numerical Models in Solving complex problems on Computers Lecture 15 - Common Challenges with Memory in Computer Architecture Lecture 16 - Organization of hardware in Large HPC systems Lecture 17 - Architecture of Nvidias Grace Hopper Superchip Lecture 18 - Introduction to Shared Memory Programming using OpenMP Lecture 19 - Distribution of work using multiple OpenMP Threads Lecture 20 - Synchronization and Parallel Loops in OpenMP Lecture 21 - Storage attributes of different variables in OpenMP Lecture 22 - OpenMP Memory Model, Irregular Parallelism, and Tasks Lecture 23 - Parallelization of example codes using OpenMP - Part 1 Lecture 24 - Parallelization of example codes using OpenMP - Part 2 Lecture 25 - Introduction to Message Passing Interface (MPI) Lecture 26 - Sending and Receiving the messages using MPI Lecture 27 - Collective Communication in MPI Lecture 28 - Domain Decomposition Lecture 29 - Parallelization of example code using MPI Lecture 30 - Performance Analysis Frameworks for Parallel Programming Lecture 31 - Examples of Collective Communication in MPI - Part 1 Lecture 32 - Examples of Collective Communication in MPI - Part 2 Lecture 33 - Introduction to GPU Computing Lecture 34 - A Dive into Software Stack and Nvidia Architecture Lecture 35 - Comparative Analysis of NVIDIA and Intel GPU Architectures Lecture 36 - Understanding FLOPS and Memory Bandwidth Calculations for NVIDIA GPUs Lecture 37 - SIMD vs. SIMT: Thread Mapping, Scheduling, and Pipelining in NVIDIA GPUs Lecture 38 - Understanding 1D, 2D, and 3D Grid Arrangements - Part 1 Lecture 39 - Understanding 1D, 2D, and 3D Grid Arrangements - Part 2 Lecture 40 - Thread Block Mapping and Warp Scheduling in GPU Lecture 41 - Exploring Warp Scheduling and Latency Management in NVIDIA GPUs Lecture 42 - An Introduction to GPU Programming: Tools, Techniques, and CUDA - Part 1 Lecture 43 - An Introduction to GPU Programming: Tools, Techniques, and CUDA - Part 2 Lecture 44 - Understanding NVIDIA GPU Memory Types and Efficient Memory Management - Part 1 Lecture 45 - Understanding NVIDIA GPU Memory Types and Efficient Memory Management - Part 2 Lecture 46 - Understanding Third Divergence in Parallel Computing and Its Impact on GPU Performance Lecture 47 - Memory Layouts and Their Role in Optimizing Computing Performance Lecture 48 - CUDA Program Compilation and Execution: A Step-by-Step Guide - Part 1 Lecture 49 - CUDA Program Compilation and Execution: A Step-by-Step Guide - Part 2 Lecture 50 - Introduction to OpenACC Lecture 51 - Parallelization of loops using OpenACC Lecture 52 - OpenACC Data Management Lecture 53 - OpenACC Loop Optimizations Lecture 54 - Implementing Asynchronous behavior in OpenACC Lecture 55 - Programming for multiple-device architecture using OpenACC Lecture 56 - Profiling and Parallelizing the serial code using OpenACC Lecture 57 - Programming for multiple-device architecture using MPI and CUDA Lecture 58 - Programming for multiple-device architecture using MPI and OpenACC Lecture 59 - Profiling Serial codes using GNU gprof Lecture 60 - Profiling and Debugging of the codes using Valgrind Lecture 61 - Code Debugging using GDB Lecture 62 - Performance Analysis of MPI codes Lecture 63 - Parallel Debugging of MPI Programs using Open Source Tools Lecture 64 - Role of Numerical Methods in High Performance Scientific Computing Lecture 65 - Libraries used in High Performance Scientific Computing Lecture 66 - Introduction to HPC Schedulers using SLURM and PBS Lecture 67 - Scientific Visualization Lecture 68 - Revision and challenges in the future Lecture 69 - OpenMP Revision Lecture 70 - CUDA Revision Lecture 71 - MPI Revision Lecture 72 - OpenACC Revision Lecture 73 - Heterogeneous Computing Lecture 74 - Trends in Microprocessor Architectures