This module introduces secondary storage systems, explaining their role in data persistence. Students will learn about different types of storage devices and their characteristics.
This module introduces the fundamental concepts of programs and data, focusing on how data is organized and manipulated within software. Understanding data types, structures, and storage is crucial for any programmer.
This module covers data representation in computing. It delves into how computers store and interpret data, including binary representation, character encoding, and integer formats.
This module focuses on registers and memory, exploring how data is stored and accessed in a computer. Students will learn about memory hierarchy and the role of registers in execution.
This module examines instructions and addressing modes, discussing how different instructions operate and how data is accessed in memory. Understanding these concepts is vital for efficient software development.
This module introduces a RISC instruction set, detailing its design principles and operational characteristics. Students will explore how RISC architecture influences performance and efficiency in computing.
This module continues the discussion on RISC instruction sets, focusing on more advanced topics and variations. Students will deepen their understanding of how these sets optimize program execution.
This module covers function calls and returns, explaining how subroutines operate in programming. Students will learn about stack management and how these concepts apply to program execution.
This module continues the focus on function calls and returns, emphasizing practical applications and common issues encountered during execution. Students will build a comprehensive understanding.
This module discusses instruction execution, detailing how instructions are processed within a CPU. Students will learn about the instruction cycle and how it affects program performance.
This module continues the exploration of instruction execution, elaborating on complexities and optimizations. Students will learn about pipelining and its effects on performance and throughput.
This module presents software organization, focusing on structuring programs effectively. Students will understand modular programming, which enhances maintainability and readability.
This module covers system calls, explaining how programs interact with operating systems. Students will explore the types of system calls and their significance in program execution.
This module continues the discussion on virtual memory, delving into page replacement algorithms and strategies for optimizing memory usage during program execution.
This module further explores virtual memory, discussing advanced topics including segmentation and its role in enhancing memory management strategies.
This module focuses on processes, explaining how programs execute in a multitasking environment. Students will learn about process states, transitions, and management techniques.
This module discusses process scheduling, focusing on algorithms and strategies for managing process execution in an efficient manner. Students will explore various scheduling techniques and their impacts.
This module covers process lifetime, detailing the various stages a process undergoes from creation to termination. Understanding this lifecycle is crucial for effective program development.
This module focuses on interprocess communication (IPC), discussing mechanisms that allow processes to communicate and synchronize effectively. Students will explore various IPC techniques and their applications.
This module discusses concurrent programming, highlighting techniques for writing programs that execute concurrently. Students will learn about synchronization issues and how to manage them effectively.
This module focuses on pipelining, explaining how this technique enhances instruction execution efficiency. Students will learn about different types of pipelining and its practical applications.
This module discusses pipeline hazards, exploring the challenges that can arise in pipelined instruction execution. Students will learn about various types of hazards and strategies to mitigate them.
This module continues the discussion on pipeline hazards, focusing on specific examples and solutions that programmers can implement to improve performance in pipelined systems.
This module further explores pipeline hazards, discussing advanced solutions and techniques that can be employed to ensure smooth instruction execution in high-performance environments.
This module covers cache memory, explaining its role in speeding up data access and improving program performance. Students will explore cache types and their significance.
This module discusses memory hierarchy, exploring how different levels of memory storage affect program execution. Understanding this hierarchy is crucial for optimizing performance in high-performance computing.
This module focuses on cache operation, detailing how cache memory functions and its impact on data retrieval speeds. Students will learn about cache hits, misses, and replacement strategies.
This module continues the exploration of cache operation, focusing on practical aspects and techniques for effectively utilizing cache memory in program development.
This module discusses cache-aware programming, emphasizing techniques to optimize software for cache performance. Students will learn how to write code that takes advantage of cache memory features.
This module continues the focus on cache-aware programming, providing practical examples and strategies for developers to enhance performance through effective cache usage.
This module discusses advanced topics related to cache memory, including optimization techniques and common pitfalls to avoid when developing high-performance applications.
This module focuses on measuring time in computing, emphasizing the importance of benchmarks and profiling techniques for assessing program performance.
This module discusses program profiling, exploring tools and techniques for analyzing program performance. Students will learn how to identify bottlenecks and optimize their code.
This module introduces secondary storage systems, explaining their role in data persistence. Students will learn about different types of storage devices and their characteristics.
This module discusses files and disks, covering how data is organized and managed on secondary storage devices. Students will understand file systems and their significance.
This module focuses on directories, explaining their role in organizing files and data on storage devices. Students will learn about directory structures and navigation techniques.
This module discusses protection and performance, exploring strategies for securing data while maintaining efficient system performance. Students will examine trade-offs and best practices.
This module introduces parallel architecture, discussing the principles behind designing systems that can perform multiple operations simultaneously. Students will learn about different parallel processing models.
This module covers cache coherence in parallel systems, explaining the challenges that arise in maintaining consistency across multiple caches. Students will learn about coherence protocols and solutions.
This module focuses on MPI programming, introducing the Message Passing Interface as a standard for parallel programming. Students will learn how to implement MPI for efficient communication.
This module continues the discussion on MPI programming, providing advanced techniques and best practices for optimizing performance in parallel applications using MPI.