“Surinder is one of the very hard working and meticulous person to have in your team. He is always full of suggestions and comes up with various alternate approach to solve problems. Always keeps his cool in difficult situations and lightens the atmosphere with his fun filled nature. I wish him success in all his future endeavours.”
Activity
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Apparel Group brand R&B recently hosted a spectacular Women’s Day celebration at its Law Garden store in Ahmedabad, welcoming over 1,000 women for an…
Apparel Group brand R&B recently hosted a spectacular Women’s Day celebration at its Law Garden store in Ahmedabad, welcoming over 1,000 women for an…
Liked by Surinder Sood
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https://lnkd.in/gtpkFbhw " In this paper we show how boolean decision procedures, like Stalmarck’s Method or the Davis & Putnam Procedure , can…
https://lnkd.in/gtpkFbhw " In this paper we show how boolean decision procedures, like Stalmarck’s Method or the Davis & Putnam Procedure , can…
Liked by Surinder Sood
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Another important milestone in shifting left software development. We announced today Virtualizer Native Execution. Earlier, faster and more…
Another important milestone in shifting left software development. We announced today Virtualizer Native Execution. Earlier, faster and more…
Liked by Surinder Sood
Experience
Education
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The University of Auckland
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I focussed on model based design, verification and validation of hybrid systems. I developed co-simulation and formal techniques that could co-simulate and validate hardware and software hybrid system models. The most recent technique, which uses formal verification, is used not only to verify cyber-physical system models but digital systems as well.
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Volunteer Experience
Publications
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Robust hardware-software Co-simulation framework for design and validation of Hybrid Systems
MEMOCODE'22
Model based design of embedded controllers is prevalent across different industries. The final step in model based design is synthesis of hardware (or software) controller and then testing the synthesized controller in closed-loop with the plant model - this is termed as co-simulation. Standard cosimulation approaches use asynchronous communication fabric. However, they are known to suffer from race conditions, jitter, etc, making real-time property validation difficult. Current approaches to…
Model based design of embedded controllers is prevalent across different industries. The final step in model based design is synthesis of hardware (or software) controller and then testing the synthesized controller in closed-loop with the plant model - this is termed as co-simulation. Standard cosimulation approaches use asynchronous communication fabric. However, they are known to suffer from race conditions, jitter, etc, making real-time property validation difficult. Current approaches to co-simulation problems either require complex middle-ware or require synthesis of the controller and plant for synchronous execution. However, these approaches are unsuited for hybrid system control design and validation, as they require the plant model to execute at an arbitrarily small simulation step, while the synthesized controller executes at its own rate if any. The small simulation step slows down the simulation and such a setup does not guarantee level crossing detection. In this paper, we propose a novel Metric Interval Temporal Logic (MITL) based validation and Hardware in Loop (HIL) co-simulation framework, which synchronizes and integrates the controller synthesized in hardware and the plant executing in software. A discrete controller handles a level crossing generated by the plant, which evolves on variable step size. The traces generated from the closed-loop operation of the overall system are used to validate MITL properties. Finally, the controller hardware and the plant model are adjoined via a communication architecture, whose sample time is dependent upon the robustness estimates of the MITL properties, which is necessary to guarantee validation correctness.
Other authorsSee publication -
Formal verification of Deep Neural Networks in Hardware
IEEE WintechCon'22
Deep neural network (DNN) verification is an emerging field. The problem is more pronounced when they are modelled as hardware logic. Existing formal verification solutions for such hardware designs are fraught with issues like scalability and compute intensive resources. We solve this problem by creating a lightweight verification infrastructure and verifying the DNN logic by way of equivalence check. The light weight formal verification model is created by applying neural network…
Deep neural network (DNN) verification is an emerging field. The problem is more pronounced when they are modelled as hardware logic. Existing formal verification solutions for such hardware designs are fraught with issues like scalability and compute intensive resources. We solve this problem by creating a lightweight verification infrastructure and verifying the DNN logic by way of equivalence check. The light weight formal verification model is created by applying neural network simplification approaches discussed in the paper. The DNN formal model as a consequence is made simpler by removing the unwanted nodes, as a result it is capable of verifying intricate deep neural network designs effectively as compared with simulation based conventional strategies. The approach is applied on a design which is a car collision avoidance system (CARCAS) which is a logic deployed in autonomous car driving paradigm.
Other authorsSee publication -
Novel AI based pre-silicon Performance estimation and validation of complex System-on Chip
IEEE CSDE 2021,AsiaPacific conference,Brisbane,Australia
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Novel end to end Non-coherent access mechanism on X86 SOC
Design Automation Conference- Sanfracisco
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CPU and/or GPU: Revisiting the GPU Vs. CPU Myth
Cornell University Library,USA, 2013
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Formal verification contract based micro architectural analysis of Server SoC's
DAC 2022,San Francisco, USA
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https://lnkd.in/ezHnAeV6 Are AI chips harder to verify? That’s the question DVCon U.S. panel is pondering now at San Jose Thanks Veriest for…
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Glad to share that i have successfully completed the online 6 months course on "Post Graduate Program in AI for Leaders" from University of Texas…
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Inspiration for women in Tech: "𝐵𝑒 𝑙𝑒𝑠𝑠 𝑐𝑢𝑟𝑖𝑜𝑢𝑠 𝑎𝑏𝑜𝑢𝑡 𝑝𝑒𝑜𝑝𝑙𝑒 𝑎𝑛𝑑 𝑚𝑜𝑟𝑒 𝑐𝑢𝑟𝑖𝑜𝑢𝑠 𝑎𝑏𝑜𝑢𝑡 𝑖𝑑𝑒𝑎𝑠," Marie…
Inspiration for women in Tech: "𝐵𝑒 𝑙𝑒𝑠𝑠 𝑐𝑢𝑟𝑖𝑜𝑢𝑠 𝑎𝑏𝑜𝑢𝑡 𝑝𝑒𝑜𝑝𝑙𝑒 𝑎𝑛𝑑 𝑚𝑜𝑟𝑒 𝑐𝑢𝑟𝑖𝑜𝑢𝑠 𝑎𝑏𝑜𝑢𝑡 𝑖𝑑𝑒𝑎𝑠," Marie…
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Who is a woman who has inspired your career? #IWD25 Ajeetha Kumari (AsFigo) Maggie Larragy - my very first manager/lead/mentor (Philips…
Who is a woman who has inspired your career? #IWD25 Ajeetha Kumari (AsFigo) Maggie Larragy - my very first manager/lead/mentor (Philips…
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OPPORTUNITY FOR FORMAL VERIFICATION SOLVER EXPERT IN SYNOPSYS R&D USA At the heart of Synopsys’s world leading formal verification software…
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Early morning DVCon U.S. is up to a rocking start, as predicted #AI/ML session is overflowing with audience lining up even outside Wish we got a…
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