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Hardware Acceleration of Deep Neural Network Model on FPGA
  • Anu P Bhushan
  • June 9, 2021

Hardware Acceleration of Deep Neural Network Models on FPGA ( Part 1 of 2)

Artificial Intelligence has become all-pervasive, by finding applications in areas which seemed impossible earlier. Deep Learning, which is a subfield of Machine Learning, has become a state-of-the-art solution to all AI problems due to its high accuracy and efficiency. It helps in making real time decisions in applications like Advanced Driver Assistance Systems (ADAS), Robots, Autonomous Vehicles, Industrial Automation, Aerospace and Défense.  For accurate decisions and real time behaviour, a massive amount of data needs to be processed.  Deep Neural Network (DNN) models achieve this by using a large number of neural network layers.

Deep Neural Network

Want to know how Deep Learning works? Here's a quick guide for everyone.

Source: freecodecamp.org

Deep Neural Networks is the state-of-art solution for a variety of applications like computer vision, speech recognition and natural language processing etc.  Artificial Neural Networks is a mathematical construct that tie together a large number of simple elements, called neurons, each of which can make simple mathematical decisions. A shallow neural network has only three layers: input layer, one hidden layer and output layer. A neural network becomes a Deep Neural Network (DNN) as the number of hidden layers increases. So, Deep Learning can be considered as a class of Artificial Neural Networks that is composed of many processing layers. They are more accurate and keep improving in accuracy as more neuron layers are added. Some important Deep Neural Network models are Feed-Forward Neural Network, Recurrent Neural Network (RNN) and Convolutional Neural Network (CNN).

Hardware Accelerators for Deep Neural Networks

Hardware acceleration is defined as a process in which an application will offload a high computational task into specialised hardware for achieving high efficiency when compared to software implementation in CPU alone. To achieve accurate results in real-time, better models operating on a larger dataset are required. Also, time taken for decision making is an important factor. As new Deep Learning models evolve, the model structure becomes more complex. Thus, a huge number of operations and parameters, as well as more computing resources are needed. Three options for Hardware Accelerators are GPU’s, ASICs and FPGAs.

Source: https://ysu.edu/news/ysu-hosts-national-gpu-computing-workshop

GPUs are designed for processing images through massive parallelism, but nowadays they are used in big data analytics, acceleration of a portion of an application that requires high throughput and memory bandwidth. GPUs are excellent in parallel processing. They can provide acceleration where the same operations are required many times in rapid succession.  But GPUs consume a huge amount of power which throws a challenge to DNN applications that need to be enabled on edge devices, especially battery-operated devices. GPUs achieve throughput with their ability to process input batches of large size, but typically the latency will be high. So, they are not suitable for latency-critical applications.

Source: https://www.eebinc.org/post/the-global-semiconductor-crunch

ASICs are integrated circuits specially designed for a particular purpose or application. They are highly optimized in terms of power and performance for one particular application. They have less I/O bandwidth, limited memory and other computing resources.  Although they can attain moderate performance at low power, the downside is that the development time and costs to realize them are high.

What Is FPGA and FPGA Applications - Latest open tech from seeed studio

Source: https://www.renesas.com/

FPGAs can be used to accelerate a portion of an algorithm by assigning the high computational tasks to the programmable logic. They can attain high performance through extensive parallelism and at the same time, are energy efficient when compared to GPUs, and have less time to market and costs compared to ASICs. Another important feature of FPGAs is their; reconfigurability which is not possible with GPU and ASIC. As deep learning structures are advancing day by day, reconfigurability is an added advantage.

The following section lists out the reasons for considering FPGAs as hardware accelerators.

FPGAs as Hardware Accelerators:

When compared to GPU; ASIC and FPGA have less I/O bandwidth, limited memory and other computing resources but they can attain moderate performance at low power. ASIC is optimized for power and performance, but cost and development time is more. Also, they are not flexible. As an alternative to GPU and ASIC, FPGA based accelerators are currently used due to the following advantages:

  • FPGA offers high performance per watt when compared to GPU, making it a strong candidate for DNN computations and inference. 
  • Architecture is customizable and flexible so that the required resources can be used.
  • Provide high throughput with massive parallelism at low latency. 
  • FPGA has block RAM which allows faster data transfer compared to off-chip memory.
  • FPGAs are reconfigurable according to application. This enables a reduction in time to market. As the new machine learning algorithm evolves, less development time and reconfigurability make them a better option when compared to ASIC. 
  • Apart from power efficiency and throughput, the speed of a DNN deployed on an FPGA can be further increased when the inferred algorithm uses low numeric precision in the calculation. For example, the quantization process converts a 32-bit or 64-bit floating-point network models to a fixed point which reduces computations by maintaining reasonable accuracy. 

On the other hand, one of the main reasons for engineers not adopting FPGA is the difficulty in programming. FPGA is programmed by describing functionalities using Hardware Description Language (HDL) coding like VHDL or Verilog. This is different from regular programming like C or C++. 

To reduce complexity, tools like High-Level Synthesis (HLS) that synthesize high level languages to HDL codes exist. There are different hardware frameworks developed by FPGA vendors and other third-party companies to implement inference on FPGA. Xilinx and Intel have their own frameworks to improve the performance over others.  Some of the hardware frameworks are OpenCL, Intel’s OpenVino, Xilinx DNNDK and Xilinx Vitis AI which we will cover in part 2 of our blog. 

Read Part 2 here…

510 thoughts on “Hardware Acceleration of Deep Neural Network Models on FPGA ( Part 1 of 2)”

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      Ramesh holds an M-Tech in Computer Science from IIT-Kanpur.

      ​Manoj Thandassery

      VP – Sales & Business Development

      Manoj Thandassery is responsible for the India business at Ignitarium. He has over 20 years of leadership and business experience in various industries including the IT and Product Engineering industry. He has held various responsibilities including Geo head at Sasken China, Portfolio head at Wipro USA, and India & APAC Director of Sales at Emeritus. He has led large multi-country teams of up to 350 employees. Manoj was also an entrepreneur and has successfully launched and scaled, via multiple VC-led investment rounds, an Edtech business in the K12 space that was subsequently sold to a global Edtech giant.
      An XLRI alumnus, Manoj divides his time between Pune and Bangalore.

       

      MALAVIKA GARIMELLA​

      General Manager - Marketing

      A professional with a 14-year track record in technology marketing, Malavika heads marketing in Ignitarium. Responsible for all branding, positioning and promotional initiatives in the company, she has collaborated with technical and business teams to further strengthen Ignitarium's positioning as a key E R&D services player in the ecosystem.

      Prior to Ignitarium, Malavika has worked in with multiple global tech startups and IT consulting companies as a marketing consultant. Earlier, she headed marketing for the Semiconductor & Systems BU at Wipro Technologies and worked at IBM in their application software division.

      Malavika completed her MBA in Marketing from SCMHRD, Pune, and holds a B.E. degree in Telecommunications from RVCE, Bengaluru.

       

      PRADEEP KUMAR LAKSHMANAN

      VP - Operations

      Pradeep comes with an overall experience of 26 years across IT services and Academia. In his previous role at Virtusa, he played the role of Delivery Leader for the Middle East geography. He has handled complex delivery projects including the transition of large engagements, account management, and setting up new delivery centers.

      Pradeep graduated in Industrial Engineering and Management, went on to secure an MBA from CUSAT, and cleared UGN Net in Management. He also had teaching stints at his alma mater, CUSAT, and other management institutes like DCSMAT. A certified P3O (Portfolio, Program & Project Management) from the Office of Government Commerce, UK, Pradeep has been recognized for key contributions in the Management domain, at his previous organizations, Wipro & Virtusa.

      In his role as the Head of Operations at Ignitarium, Pradeep leads and manages operational functions such as Resource Management, Procurement, Facilities, IT Infrastructure, and Program Management office.

       

      SONA MATHEW Director – Human Resources

      SONA MATHEW

      VP – Human Resources

      Sona heads Human Resource functions - Employee Engagement, HR Operations and Learning & Development – at Ignitarium. Her expertise include deep and broad experience in strategic people initiatives, performance management, talent transformation, talent acquisition, people engagement & compliance in the Information Technology & Services industry.

       

      Prior to Ignitarium, Sona has had held diverse HR responsibilities at Litmus7, Cognizant and Wipro.

       

      Sona graduated in Commerce from St. Xaviers College and did her MBA in HR from PSG College of Technology.

       

      ASHWIN RAMACHANDRAN

      Vice President - Sales

      As VP of Sales, Ashwin is responsible for Ignitarium’s go-to-market strategy, business, client relationships, and customer success in the Americas. He brings in over a couple of decades of experience, mainly in the product engineering space with customers from a wide spectrum of industries, especially in the Hi-Tech/semiconductor and telecom verticals.

       

      Ashwin has worked with the likes of Wipro, GlobalLogic, and Mastek, wherein unconventional and creative business models were used to bring in non-linear revenue. He has strategically diversified, de-risked, and grown his portfolios during his sales career.

       

      Ashwin strongly believes in the customer-first approach and works to add value and enhance the experiences of our customers.

       

      AZIF SALY Director – Sales

      AZIF SALY

      Vice President – Sales & Business Development

      Azif is responsible for go-to-market strategy, business development and sales at Ignitarium. Azif has over 14 years of cross-functional experience in the semiconductor product & service spaces and has held senior positions in global client management, strategic account management and business development. An IIM-K alumnus, he has been associated with Wipro, Nokia and Sankalp in the past.

       

      Azif handled key accounts and sales process initiatives at Sankalp Semiconductors. Azif has pursued entrepreneurial interests in the past and was associated with multiple start-ups in various executive roles. His start-up was successful in raising seed funds from Nokia, India. During his tenure at Nokia, he played a key role in driving product evangelism and customer success functions for the multimedia division.

       

      At Wipro, he was involved in customer engagement with global customers in APAC and US.

       

      RAJU KUNNATH Vice President – Enterprise & Mobility

      RAJU KUNNATH

      Distinguished Engineer – Digital

      At Ignitarium, Raju's charter is to architect world class Digital solutions at the confluence of Edge, Cloud and Analytics. Raju has over 25 years of experience in the field of Telecom, Mobility and Cloud. Prior to Ignitarium, he worked at Nokia India Pvt. Ltd. and Sasken Communication Technologies in various leadership positions and was responsible for the delivery of various developer platforms and products.

       

      Raju graduated in Electronics Engineering from Model Engineering College, Cochin and has an Executive Post Graduate Program (EPGP) in Strategy and Finance from IIM Kozhikode.

       

      PRADEEP SUKUMARAN Vice President – Business Strategy & Marketing

      PRADEEP SUKUMARAN

      Senior Vice President - Software Engineering

      Pradeep heads the Software Engineering division, with a charter to build and grow a world-beating delivery team. He is responsible for all the software functions, which includes embedded & automotive software, multimedia, and AI & Digital services

      At Ignitarium, he was previously part of the sales and marketing team with a special focus on generating a sales pipeline for Vision Intelligence products and services, working with worldwide field sales & partner ecosystems in the U.S  Europe, and APAC.

      Prior to joining Ignitarium in 2017, Pradeep was Senior Solutions Architect at Open-Silicon, an ASIC design house. At Open-Silicon, where he spent a good five years, Pradeep was responsible for Front-end, FPGA, and embedded SW business development, marketing & technical sales and also drove the IoT R&D roadmap. Pradeep started his professional career in 2000 at Sasken, where he worked for 11 years, primarily as an embedded multimedia expert, and then went on to lead the Multimedia software IP team.

      Pradeep is a graduate in Electronics & Communication from RVCE, Bangalore.

       

      SUJEET SREENIVASAN Vice President – Embedded

      SUJEET SREENIVASAN

      Senior Vice President – Automotive Technology

       

      Sujeet is responsible for driving innovation in Automotive software, identifying Automotive technology trends and advancements, evaluating their potential impact, and development of solutions to meet the needs of our Automotive customers.

      At Ignitarium, he was previously responsible for the growth and P&L of the Embedded Business unit focusing on Multimedia, Automotive, and Platform software.

      Prior to joining Ignitarium in 2016, Sujeet has had a career spanning more than 16 years at Wipro. During this stint, he has played diverse roles from Solution Architect to Presales Lead covering various domains. His technical expertise lies in the areas of Telecom, Embedded Systems, Wireless, Networking, SoC modeling, and Automotive. He has been honored as a Distinguished Member of the Technical Staff at Wipro and has multiple patents granted in the areas of Networking and IoT Security.

      Sujeet holds a degree in Computer Science from Government Engineering College, Thrissur.

       

      RAJIN RAVIMONY Distinguished Engineer

      RAJIN RAVIMONY

      Distinguished Engineer

       

      At Ignitarium, Rajin plays the role of Distinguished Engineer for complex SoCs and systems. He's an expert in ARM-based designs having architected more than a dozen SoCs and played hands-on design roles in several tens more. His core areas of specialization include security and functional safety architecture (IEC61508 and ISO26262) of automotive systems, RTL implementation of math intensive signal processing blocks as well as design of video processing and related multimedia blocks.

       

      Prior to Ignitarium, Rajin worked at Wipro Technologies for 14 years where he held roles of architect and consultant for several VLSI designs in the automotive and consumer domains.

       

      Rajin holds an MS in Micro-electronics from BITS Pilani.

       

      SIBY ABRAHAM Executive Vice President, Strategy

      SIBY ABRAHAM

      Executive Vice President, Strategy

       

      As EVP, of Strategy at Ignitarium, Siby anchors multiple functions spanning investor community relations, business growth, technology initiatives as well and operational excellence.

       

      Siby has over 31 years of experience in the semiconductor industry. In his last role at Wipro Technologies, he headed the Semiconductor Industry Practice Group where he was responsible for business growth and engineering delivery for all of Wipro’s semiconductor customers. Prior to that, he held a vast array of crucial roles at Wipro including Chief Technologist & Vice President, CTO Office, Global Delivery Head for Product Engineering Services, Business Head of Semiconductor & Consumer Electronics, and Head of Unified Competency Framework. He was instrumental in growing Wipro’s semiconductor business to over $100 million within 5 years and turning around its Consumer Electronics business in less than 2 years. In addition, he was the Engineering Manager for Enthink Inc., a semiconductor IP-focused subsidiary of Wipro. Prior to that, Siby was the Technical Lead for several of the most prestigious system engineering projects executed by Wipro R&D.

       

      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

       

      SUDIP NANDY

      Board Member

       

      An accomplished leader with over 40 years of experience, Sudip has helped build and grow companies in India, the US and the UK.

      He has held the post of Independent Director and Board Member for several organizations like Redington Limited, Excelra, Artison Agrotech, GeBBS Healthcare Solutions, Liquid Hub Inc. and ResultsCX.

      Most recently, Sudip was a Senior Advisor at ChrysCapital, a private equity firm where he has also been the Managing Director and Operating Partner for IT for the past 5 years. During his tenure, he has been Executive Chairman of California-headquartered Infogain Corporation and the non-Exec Chair on the board of a pioneering electric-2-wheeler company Ampere Vehicles, which is now a brand of Greaves Cotton Ltd.

      Earlier on in his career, Sudip has been the CEO and then Chairman India for Aricent. Prior to that, he had spent 25+ years in Wipro where he has been the Head of US business, Engineering R&D Services, and later the Head of EU Operations.

      Sudip is an active investor in several interesting startups in India and overseas, which mostly use technology for the social good, encompassing hyperlocal, healthcare, rural development, farmer support and e2W ecosystem. He also spends time as a coach and mentor for several CEOs in this role.

       

      SUJEETH JOSEPH Chief Product Officer

      SUJEETH JOSEPH

      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.

       

      SUJITH MATHEW IYPE Co-founder & CTO

      SUJITH MATHEW IYPE

      Co-founder & COO

       

      As Ignitarium's Co-founder and COO, Sujith is responsible for driving the operational efficiency and streamlining process across the organization. He is also responsible for the growth and P&L of the Semiconductor Business Unit.

       

      Apart from establishing a compelling story in VLSI, Sujith was responsible for Ignitarium's foray into nascent technology areas like AI, ML, Computer Vision, and IoT, nurturing them in our R&D Lab - "The Crucible".

       

      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.

       

      RAMESH SHANMUGHAM Co-founder & COO

      RAMESH SHANMUGHAM

      Co-founder & CRO

      As Co-founder and Chief Revenue Officer of Ignitarium, Ramesh has been responsible for global business and marketing as well as building trusted customer relationships upholding the company's core values.

      Ramesh has over 25 years of experience in the Semiconductor Industry covering all aspects of IC design. Prior to Ignitarium, Ramesh was a key member of the senior management team of the semiconductor division at Wipro Technologies. Ramesh has played key roles in Semiconductor Delivery and Pre-sales at a global level.

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