MPSoC

MPSoC Course

Start Date:
TBD
90
academic hours
Final Project
MPSoC

MPSoC Course

The MPSoC (Multiprocessor System-on-Chip) course is designed to equip you with the knowledge and skills to design, develop, and optimize complex multiprocessor systems on a single chip. MPSoCs are at the forefront of high-performance embedded systems, powering applications in areas such as automotive, aerospace, telecommunications, and artificial intelligence.

Key aspects of MPSoC and our course include:
  • MPSoC Architecture: Understand the fundamental architectures of multiprocessor systems-on-chip.
  • Heterogeneous Computing: Learn to design systems with multiple, diverse processing elements.
  • Inter-Processor Communication: Master techniques for efficient communication between processors.
  • Memory Hierarchy: Explore complex memory systems and cache coherence protocols.
  • Hardware-Software Co-design: Develop skills in parallel software design for MPSoCs.
  • System Integration: Implement complete MPSoC-based systems for real-world applications.
In this course, you'll learn to:
  • Design MPSoC architectures for specific application requirements
  • Implement and optimize inter-processor communication mechanisms
  • Develop parallel software for heterogeneous MPSoC platforms
  • Manage complex memory hierarchies and ensure cache coherence
  • Utilize hardware accelerators and specialized processing units
  • Optimize power consumption in MPSoC designs
  • Debug and profile MPSoC-based systems

By completing this MPSoC course, you'll be well-prepared to develop cutting-edge embedded systems that leverage the power of multiple processors on a single chip.

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Why Learn MPSoC

  • Performance Demands: MPSoCs meet the increasing performance requirements of modern applications.
  • Energy Efficiency: Learn to design high-performance systems with optimized power consumption.
  • Versatility: MPSoCs are used in a wide range of applications from mobile devices to automotive systems.
  • Industry Trend: Growing adoption of MPSoCs in various sectors of the tech industry.
  • Career Opportunities: High demand for engineers skilled in complex SoC and parallel computing designs.
  • Innovation: Be at the forefront of embedded system design and heterogeneous computing.
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What You Learn in Our MPSoC course

  • Introduction to MPSoC architectures and design principles
  • Processor architectures in MPSoCs (CPU, GPU, DSP, FPGA)
  • On-chip interconnect technologies and Network-on-Chip (NoC)
  • Memory systems and cache coherence protocols
  • Hardware accelerators and specialized processing units
  • Inter-processor communication and synchronization techniques
  • Operating systems and runtime management for MPSoCs
  • Parallel programming models for heterogeneous systems
  • Power management and optimization in MPSoCs
  • Design tools and methodologies for MPSoC development
  • Performance analysis and debugging of MPSoC systems
  • Case studies: MPSoCs in automotive, mobile, and AI applications
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Who Should Attend

  • Embedded systems engineers
  • SoC designers
  • Computer architecture professionals
  • Software engineers working on parallel and distributed systems
  • FPGA designers transitioning to complex SoC designs
  • Research scientists in high-performance computing
  • Graduate students in computer engineering or related fields
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Prerequisites

  • Strong background in computer architecture
  • Proficiency in C/C++ programming
  • Understanding of basic digital design concepts
  • Familiarity with operating systems principles
  • Experience with embedded systems development is beneficial
  • Basic knowledge of parallel programming concepts is helpful

Skills & Techniques

  • Designing complex MPSoC architectures
  • Implementing efficient inter-processor communication mechanisms
  • Developing parallel software for heterogeneous platforms
  • Managing and optimizing memory hierarchies
  • Integrating and utilizing hardware accelerators
  • Applying power optimization techniques
  • Using MPSoC design and simulation tools
  • Debugging and profiling complex multiprocessor systems

Course Structure

Ch. 1

General overview of the architecture of Zynq 7000 and Zynq Ultrascale+

Ch. 2

General overview of the VIVADO Design Suite

Ch. 3

General overview of SDSoC (VITIS)

Ch. 4

Basic/Introductory programming with Zynq Ultrascale+

Ch. 5

Building a sub-system processing using VIVADO SDK and Petalinux

Ch. 6

Petalinux development in the Zynq environment

Ch. 7

FreeRTOS development in the MPSoC environment

Ch. 8

Machine learning in the MPSoC environment

Ch. 9

Implementation of a Deep Learning Processing Unit (DPU) on the ZCU104 board

Head of the department
teacher-image-Benny-Cohen

Meet your instructor

Benny Cohen

Embedded Academy Founder and CEO

As a long-time veteran in the technology industry, Benny Cohen combines a deep passion for technology with extensive field experience. With a B.Sc. in Electronics Engineering and an M.Sc. in Communication Engineering, he has spent over 20 years developing software and hardware systems, including the last few years focusing on the cybersecurity industry. In addition to his role as the company founder & CEO, Benny also operates as a hands-on practitioner who specializes in penetration testing and has conducted significant security assessments for leading enterprises and security companies worldwide. His approachable teaching style and real-world expertise make learning both engaging and relevant.

What our graduates say

FAQs

Is this course suitable for beginners in SoC design?

This is an advanced course. We recommend having a strong foundation in computer architecture and embedded systems before enrolling.

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Does this course focus on any specific MPSoC platform?

While we use examples from popular MPSoC platforms, the course covers general principles applicable across different architectures.

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How does this course address the complexity of MPSoC design?

We break down complex concepts into manageable modules and provide extensive hands-on practice with real-world design scenarios.

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Does this course cover AI and machine learning applications in MPSoCs?

We introduce concepts related to AI acceleration in MPSoCs. For a deeper dive, consider our specialized AI Hardware Acceleration course.

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