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We are in an era where Artificial Intelligence (AI) makes real-time decisions in applications like Advanced Driver Assistance Systems (ADAS), robots, autonomous vehicles, industrial automation, aerospace, and defense. These applications utilize deep learning neural networks (DNNs) for accurate predictions.
  • Team Marketing
  • October 3, 2024

FPGA Based Acceleration of a Custom Deep Neural Network Model Inference | Technical Paper

We are in an era where Artificial Intelligence (AI) makes real-time decisions in applications like Advanced Driver Assistance Systems (ADAS), robots, autonomous vehicles, industrial automation, aerospace, and defense. These applications utilize deep learning neural networks (DNNs) for accurate predictions.
 
When the neural network structure becomes deeper, the demand for computational power also increases. So, there is a need for a hardware accelerator to replace a general-purpose processor to achieve better performance. Recently, Field Programmable Gate Array (FPGA) has become a promising device as a hardware accelerator over Graphic Processing Units (GPUs) and Application Specific Integrated Circuits (ASICs) due to their power efficiency and reconfigurability.
 
Earlier, one of the difficulties in adopting FPGA was the requirement of specialized programming skills for the developer. Today, FPGA vendors provide acceleration frameworks that directly support popular neural network frameworks. The availability of these tools considerably reduces the development effort and time to market for the deep learning model implementations in FPGA.
 
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Human Pose Detection & Classification

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    Prior to founding Ignitarium in 2012, Sanjay spent the initial 22 years of his career with the VLSI and Systems Business unit at Wipro Technologies. In his formative years, Sanjay worked in diverse engineering roles in Electronic hardware design, ASIC design, and custom library development. Sanjay later handled a flagship – multi-million dollar, 600-engineer strong – Semiconductor & Embedded account owning complete Delivery and Business responsibility.

     

    Sanjay graduated in Electronics and Communication Engineering from College of Engineering, Trivandrum, and has a Postgraduate degree in Microelectronics from BITS Pilani.

     

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      Ramesh was the Founder and CEO of Insta Health Solutions, a software products company focused on providing complete hospital and clinic management solutions for hospitals and clinics in India, the Middle East, Southeast Asia, and Africa. He raised Series A funds from Inventus Capital and then subsequently sold the company to Practo Technologies, India. Post-sale, he held the role of SVP and Head of the Insta BU for 4 years. He has now retired from full-time employment and is working as a consultant and board member.

       

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      Siby has held a host of deeply impactful positions, which included representing Wipro in various World Economic Forum working groups on Industrial IOT and as a member of IEEE’s IOT Steering Committee.

       

      He completed his MTech. in Electrical Engineering (Information and Control) from IIT, Kanpur and his BTech. from NIT, Calicut

       

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      Chief Technology Officer

       

      As CTO, Sujeeth is responsible for defining the technology roadmap, driving IP & solution development, and transitioning these technology components into practically deployable product engineering use cases.

       

      With a career spanning over 30+ years, Sujeeth Joseph is a semiconductor industry veteran in the SoC, System and Product architecture space. At SanDisk India, he was Director of Architecture for the USD $2B Removable Products Group. Simultaneously, he also headed the SanDisk India Patenting function, the Retail Competitive Analysis Group and drove academic research programs with premier Indian academic Institutes. Prior to SanDisk, he was Chief Architect of the Semiconductor & Systems BU (SnS) of Wipro Technologies. Over a 19-year career at Wipro, he has played hands-on and leadership roles across all phases of the ASIC and System design flow.

       

      He graduated in Electronics Engineering from Bombay University in 1991.

       

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      Prior to founding Ignitarium, Sujith played the role of a VLSI architect at Wipro Technologies for 13 years. In true hands-on mode, he has built ASICs and FPGAs for the Multimedia, Telecommunication, and Healthcare domains and has provided technical leadership for many flagship projects executed by Wipro.

       

      Sujith graduated from NIT - Calicut in the year 2000 in Electronics and Communications Engineering and thereafter he has successfully completed a one-year executive program in Business Management from IIM Calcutta.

       

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      Ramesh graduated in Electronics Engineering from Model Engineering College, Cochin, and has a Postgraduate degree in Microelectronics from BITS Pilani.