eBOOK IMPROVE ELECTRIC DRIVE CONTROL & EFFICIENCY WITH ADAPTIVE COMPUTING

Electric motors are integral components behind modern technology, driving elevators, electric vehicles, robots and more. These motors account for 70% of the industrial sector's global electric consumption. Even a 1% increase in efficiency can yield substantial gains.

The AMD Kria system-on-modules (SOMs) are changing the game in electric motor control. In this eBook, we'll explore the evolution of electric motors, the science of motor control and their impact on efficiency. Download the eBook to discover how this cutting-edge technology is revolutionizing motor control across various applications.

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ON-DEMAND WEBINAR

Offload Multiple Signal Classification (MUSIC) to AMD Versal™ AI Engines

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ON DEMAND WEBINAR: INTRODUCTION TO BLUETOOTH LE AUDIO

Electrification, the process of replacing technologies that use fossil fuels (coal, oil and natural gas) with technologies that use electricity as a source of energy, has become highly relevant in our daily lives, because it helps to reduce greenhouse gas emissions; improves energy efficiency and helps to improve public health.

At the one hand we see international and national governmental sustainability ambitions driving electrification initiatives, for example with subsidies, at the other hand we see developments driving electrification, like the decreasing battery costs or the increase in fossil fuel costs.

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Webinar Details

In this webinar, learn how high-performance DSP algorithms can be accelerated using AMD Versal™ AI Engine technology.


We will be implementing a MUSIC (Multiple Signal Classification) algorithm, adopted across many applications, including radar and wireless systems, to demonstrate the capabilities of Versal adaptive SoCs with AI Engines. MUSIC algorithms are deployed in support of applications requiring direction of arrival estimation, frequency & spectral estimation, modal analysis, and blind source separation. Due to the significant computational demand of MUSIC algorithms, they are a strong candidate to be accelerated using Versal AI Engine technology.


This design, Designing with Versal Adaptive SoC and AI Engine Technology, was completed in collaboration between AMD and FIDUS, the AMD 2023 Adaptive Computing Partner of the Year. Fidus delivers industry-leading design services, helping customers accelerate development, optimize performance, and bring innovative solutions to market with confidence.

Speaker Information

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Bachir Berkane System and Algorithm Architect, Fidus Systems

Bachir is a senior system and algorithm architect with over 32 years of experience in ASIC design, digital signal processing, and system modeling. He has led complex projects in high-performance computing, radar, and telecommunications, specializing in hardware acceleration, AI-driven edge inference, and protocol-based system architectures. Throughout his career at Fidus Systems, IDT, and PMC-Sierra, he has developed advanced algorithms, optimized DSP implementations, and contributed to cutting-edge FPGA and SoC designs.

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Peifang Zhou  Senior Embedded Software Designer, Fidus Systems

Peifang Zhou is an embedded software expert with extensive experience in AMD SoC FPGAs, C/C++, MCUs, and RTOS. Throughout his career, Peifang has consistently demonstrated a deep understanding of embedded software design principles, focusing on creating efficient, maintainable, and scalable solutions. His extensive experience and innovative approach have made him a sought-after speaker and thought leader in the field of embedded systems. Peifang holds B.Sc., M.Sc., M.A.Sc., and Ph.D. degrees in Electrical and Computer Engineering.

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Mark Rollins, Ph.D Senior Technical Marketing, AMD

Mark provides technical leadership in the definition & development of world-class products employing DSP technology in software or silicon. This has involved the conception, modeling & optimization of DSP algorithms for wide-ranging applications. For over 30 years, Mark has architected & implemented these algorithms using a broad range of technologies from software to silicon, including CPU, FPGA, Adaptive SoC, AI Engine, and ASIC using C/C++, HLS, Verilog, VLIW DSP, and assembly languages.


Speakers

  • Firstname Lastname

    Job Title

    Company Name

  • Firstname Lastname

    Job Title

    Company Name

Speakers

  • Darragh Mulligan

    Technical Marketing Manager

    AMD

  • Ajit
    Narwal

    Director
    Marketing

    AnDAPT

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Learn more about AMD Versal™ AI Engines here