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    Multi-Core and Real-Time Programming Training

    Embedded Software Engineer Series
    This course provides a deep understanding of programming real-time and multi-core systems on Linux while avoiding common pitfalls. Participants will master concurrency, real-time constraints, and debugging techniques, learning to effectively leverage the primitives offered by modern operating systems.

    Through a mix of theoretical lessons and hands-on exercises, trainees will gain practical experience in multi-tasking, synchronization, scheduling, and kernel-level programming in real-time environments.

    Multi-Core and Real-Time Programming Training Objectives

    • By the end of this course
    • participants will:
    • Understand real-time multitasking concepts and constraints
    • Gain expertise in multi-core processor architectures and hyperthreading
    • Master concurrent programming
    • On single-core systems
    • On multi-core systems
    • Learn real-time system constraints such as determinism
    • preemption
    • and interruptions
    • Explore processor architecture features affecting real-time programming
    • Cache management
    • pipeline optimizations
    • and I/O strategies
    • Multi-core synchronization and hyperthreading considerations
    • Develop skills to debug real-time applications
    • Understand the structure of a real-time kernel
    • Solve classic concurrency problems (e.g.
    • producer-consumer
    • dining philosophers)

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    Key Point of Training Programs

    We have different work process to go step by step for complete our working process in effective way.
    • Multi-Core and Real-Time Programming Prerequisites

      Strong knowledge of embedded C programming

      Basic understanding of processor architecture

      Target Audience

      Embedded systems engineers and technicians with the above prerequisites

    • Multi-Core and Real-Time Programming Training Format

      In-Person

      Online

    • Multi-Core and Real-Time Programming Outline

      Day 1: Introduction to Real-Time & Multi-Core Programming
      Fundamentals of Real-Time Systems

      Real-time concepts and constraints

      Multi-tasking and preemptive scheduling

      Multi-core architectures and hyperthreading

      Development Environment Setup (Exercise)

      Install and configure the development and execution environments

      Create a basic context switch routine

      Thread-Safe Data Structures

      Linked lists (single/double)

      Circular lists, FIFOs, stacks

      Data integrity verification (assertions, pre/post-conditions)

      Exercise: Implement a thread-safe doubly linked list

      Memory Management Strategies

      Allocation algorithms: Buddy system, best-fit, first-fit, pool management

      Exercise: Implement a simple thread-safe buddy system memory manager

      Debugging memory errors (leaks, unallocated access)

      Exercise: Enhance memory management to detect errors

      Day 2: Real-Time System Components & Multi-Core Interactions
      Real-Time Task Management

      Task descriptors, lists, and context switching

      Scheduling models (fixed priority, RMA, EDF, adaptive scheduling)

      Exercise: Implement a basic fixed-priority scheduler

      Interrupt Handling in Real-Time Systems

      Time and device interrupts

      Edge vs. level interrupts, vectoring, hardware/software acknowledgment

      Exercise: Implement a basic interrupt manager

      Multi-Core System Interactions

      Cache coherence mechanisms (snooping, MOESI protocol)

      Memory ordering, barriers, and DMA coherency

      Exercise: Implement a spinlock for multi-core synchronization

      Day 3: Multi-Core Scheduling & Synchronization Primitives
      Multi-Core Scheduling

      Assigning interrupts to processors

      Optimizing cache usage (avoiding false sharing, cache spilling)

      Exercise: Study a multi-core scheduler

      Synchronization Mechanisms

      Semaphores and mutexes (Exercise: Implement a mutex system)

      Recursive and non-recursive mutexes (Exercise: Validate proper nesting)

      Priority Inversion Problem

      Solutions: Priority Inheritance vs. Priority Ceiling

      Exercise: Implement priority ceiling for mutexes

      Condition Variables & Mailboxes (Exercise: Add condition variable support to mutexes)

      Day 4: Avoiding Sequencing Issues & POSIX Threads
      Common Concurrency Problems & Solutions

      Producer-consumer, deadlocks, livelocks, starvation

      Exercise: Solve the dining philosophers problem

      POSIX Thread Programming (Pthreads)

      Thread management, mutexes, condition variables

      Exercise: Solve the readers-writers problem using POSIX threads

      Thread-local storage (Exercise: Implement per-thread static data storage)

      POSIX semaphores, scheduling policies (real-time vs. traditional)

      Day 5: Multi-Tasking in the Linux Kernel & Asymmetric Processing
      Kernel-Level Multi-Tasking

      Memory management (buddy/slab allocators)

      Task handling (thread creation, termination)

      Kernel Synchronization Primitives

      Atomic operations, spinlocks, read/write locks, semaphores, sequential locks

      Exercise: Implement a kernel-mode execution barrier

      Kernel Timing Mechanisms

      Hardware clocks, software timers, high-resolution timers

      Exercise: Implement a kernel event synchronization object

      Asymmetric Multiprocessing (AMP)

      Architecture, shared memory challenges vs. SMP

      Inter-Processor Communication (IPC)

      OpenAMP framework, RemoteProc, rpmsg

      Exercise: Implement message passing between AMP cores