MPSoC Course Online: Practical Training

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.

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.

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

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

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

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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

David M.
Embedded System course graduate

Embedded System engineer

Didn’t realy know what I wanted to focus on when applied but my career advisor laid the options down so we could see what’s a good fit for me professionally. I got into the embedded system program and feel good with this path.

Dima Solomianik
Real Time Embedded course graduate

RT Embedded Engineer, HP

After completing the course I moved onto the job interview preparation process in which I got valuable insights about what employers search for when seeking a talent to take on the role confident in the skills and experience I gained as a student. I got 3 high tech companies getting back to me to proceed to the next level

Alex K.
Real Time Embedded course graduate

Linux Kernel Developer

The Embedded systems course was very detailed and relevant as I got to work on actual client projects that show industry challenges. I now work as an embedded engineer and the skills I gained are directly applicable to my daily work.

David F.
Embedded System course graduate

Device Driver Developer

The real-time embedded program got deep into relevant industry challenges, and I got to apply new strategies I learned to streamline our development processes.

Liam S.
Real-Time Embedded course graduate

RTOS Specialist

I came into the real-time embedded course with limited coding experience, but the structured learning path and personalized mentorship made the transition seamless.