Publications

• 2023

• 32. Salim Ullah, Siva Satyendra Sahoo, Akash Kumar, "Designing Resource-Efficient Hardware Arithmetic for FPGA-Based Accelerators Leveraging Approximations and Mixed Quantizations", Chapter in Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing, Springer International Publishing, pp. 89–119, Oct 2023. [doi] [Bibtex & Downloads]

  Designing Resource-Efficient Hardware Arithmetic for FPGA-Based Accelerators Leveraging Approximations and Mixed Quantizations

  Reference

  Salim Ullah, Siva Satyendra Sahoo, Akash Kumar, "Designing Resource-Efficient Hardware Arithmetic for FPGA-Based Accelerators Leveraging Approximations and Mixed Quantizations", Chapter in Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing, Springer International Publishing, pp. 89–119, Oct 2023. [doi]

  Bibtex

  @incollection{Ullah_2023,
  doi = {10.1007/978-3-031-19568-6_4},
  url = {https://doi.org/10.1007%2F978-3-031-19568-6_4},
  year = 2023,
  month = {oct},
  publisher = {Springer International Publishing},
  pages = {89--119},
  author = {Salim Ullah and Siva Satyendra Sahoo and Akash Kumar},
  title = {Designing Resource-Efficient Hardware Arithmetic for {FPGA}-Based Accelerators Leveraging Approximations and Mixed Quantizations},
  booktitle = {Embedded Machine Learning for Cyber-Physical, {IoT}, and Edge Computing}
  }

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• 31. Siva Satyendra Sahoo, Salim Ullah, Akash Kumar, "AxOTreeS: A Tree Search Approach to Synthesizing FPGA-Based Approximate Operators", In ACM Trans. Embed. Comput. Syst., Association for Computing Machinery, vol. 22, no. 5s, New York, NY, USA, Sep 2023. [doi] [Bibtex & Downloads]

  AxOTreeS: A Tree Search Approach to Synthesizing FPGA-Based Approximate Operators

  Reference

  Siva Satyendra Sahoo, Salim Ullah, Akash Kumar, "AxOTreeS: A Tree Search Approach to Synthesizing FPGA-Based Approximate Operators", In ACM Trans. Embed. Comput. Syst., Association for Computing Machinery, vol. 22, no. 5s, New York, NY, USA, Sep 2023. [doi]

  Bibtex

  @article{10.1145/3609096,
  author = {Sahoo, Siva Satyendra and Ullah, Salim and Kumar, Akash},
  title = {AxOTreeS: A Tree Search Approach to Synthesizing FPGA-Based Approximate Operators},
  year = {2023},
  issue_date = {October 2023},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  volume = {22},
  number = {5s},
  issn = {1539-9087},
  url = {https://doi.org/10.1145/3609096},
  doi = {10.1145/3609096},
  journal = {ACM Trans. Embed. Comput. Syst.},
  month = sep,
  articleno = {101},
  numpages = {26},
  keywords = {Monte Carlo Tree Search, AI-based exploration, Approximate computing, circuit synthesis, automated hardware design, arithmetic operator design, computer arithmetic}
  }

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  AxOTreeS-cases-esweek-tecs-2023 [PDF]

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• 30. Yuankang Zhao, Salim Ullah, Siva Satyendra Sahoo, Akash Kumar, "NvMISC: Towards an FPGA-Based Emulation Platform for RISC-V and Non-Volatile Memories", In IEEE Embedded Systems Letters, Institute of Electrical and Electronics Engineers (IEEE), pp. 1–1, 2023. [doi] [Bibtex & Downloads]

  NvMISC: Towards an FPGA-Based Emulation Platform for RISC-V and Non-Volatile Memories

  Reference

  Yuankang Zhao, Salim Ullah, Siva Satyendra Sahoo, Akash Kumar, "NvMISC: Towards an FPGA-Based Emulation Platform for RISC-V and Non-Volatile Memories", In IEEE Embedded Systems Letters, Institute of Electrical and Electronics Engineers (IEEE), pp. 1–1, 2023. [doi]

  Bibtex

  @article{Zhao_2023,
  doi = {10.1109/les.2023.3299202},
  url = {https://doi.org/10.1109%2Fles.2023.3299202},
  year = 2023,
  publisher = {Institute of Electrical and Electronics Engineers ({IEEE})},
  pages = {1--1},
  author = {Yuankang Zhao and Salim Ullah and Siva Satyendra Sahoo and Akash Kumar},
  title = {{NvMISC}: Towards an {FPGA}-Based Emulation Platform for {RISC}-V and Non-Volatile Memories},
  journal = {{IEEE} Embedded Systems Letters}
  }

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  NvMISC_Towards_an_FPGA-Based_Emulation_Platform_for_RISC-V_and_Non-Volatile_Memories_ESL [PDF]

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• 29. Salim Ullah, Siva Satyendra Sahoo, Akash Kumar, "CoOAx: Correlation-aware Synthesis of FPGA-based Approximate Operators", Proceedings of the Great Lakes Symposium on VLSI 2023, ACM, Jun 2023. [doi] [Bibtex & Downloads]

  CoOAx: Correlation-aware Synthesis of FPGA-based Approximate Operators

  Reference

  Salim Ullah, Siva Satyendra Sahoo, Akash Kumar, "CoOAx: Correlation-aware Synthesis of FPGA-based Approximate Operators", Proceedings of the Great Lakes Symposium on VLSI 2023, ACM, Jun 2023. [doi]

  Bibtex

  @inproceedings{Ullah_2023,
  doi = {10.1145/3583781.3590222},
  url = {https://doi.org/10.1145%2F3583781.3590222},
  year = 2023,
  month = {jun},
  publisher = ,
  author = {Salim Ullah and Siva Satyendra Sahoo and Akash Kumar},
  title = {{CoOAx}: Correlation-aware Synthesis of {FPGA}-based Approximate Operators},
  booktitle = {Proceedings of the Great Lakes Symposium on {VLSI} 2023}
  }

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  Application_specific_AI_inference_on_FPGAs-5 [PDF]

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• 28. Behnaz Ranjbar, Amit Kumar Singh, Siva Satyendra Sahoo, Piotr Dziurzanski, Akash Kumar, "Power Management of Multicore Systems", Chapter in Handbook of Computer Architecture, Springer Nature Singapore, pp. 1–33, 2023. [doi] [Bibtex & Downloads]

  Power Management of Multicore Systems

  Reference

  Behnaz Ranjbar, Amit Kumar Singh, Siva Satyendra Sahoo, Piotr Dziurzanski, Akash Kumar, "Power Management of Multicore Systems", Chapter in Handbook of Computer Architecture, Springer Nature Singapore, pp. 1–33, 2023. [doi]

  Bibtex

  @incollection{Ranjbar_2023,
  doi = {10.1007/978-981-15-6401-7_55-1},
  url = {https://doi.org/10.1007%2F978-981-15-6401-7_55-1},
  year = 2023,
  publisher = {Springer Nature Singapore},
  pages = {1--33},
  author = {Behnaz Ranjbar and Amit Kumar Singh and Siva Satyendra Sahoo and Piotr Dziurzanski and Akash Kumar},
  title = {Power Management of Multicore Systems},
  booktitle = {Handbook of Computer Architecture}
  }

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• 27. Rohit Ranjan, Salim Ullah, Siva Satyendra Sahoo, Akash Kumar, "SyFAxO-GeN: Synthesizing FPGA-based Approximate Operators with Generative Networks", Proceedings of the 28th Asia and South Pacific Design Automation Conference, ACM, Jan 2023. [doi] [Bibtex & Downloads]

  SyFAxO-GeN: Synthesizing FPGA-based Approximate Operators with Generative Networks

  Reference

  Rohit Ranjan, Salim Ullah, Siva Satyendra Sahoo, Akash Kumar, "SyFAxO-GeN: Synthesizing FPGA-based Approximate Operators with Generative Networks", Proceedings of the 28th Asia and South Pacific Design Automation Conference, ACM, Jan 2023. [doi]

  Bibtex

  @inproceedings{Ranjan_2023,
  doi = {10.1145/3566097.3567891},
  url = {https://doi.org/10.1145%2F3566097.3567891},
  year = 2023,
  month = {jan},
  publisher = ,
  author = {Rohit Ranjan and Salim Ullah and Siva Satyendra Sahoo and Akash Kumar},
  title = {{SyFAxO}-{GeN}: Synthesizing FPGA-based Approximate Operators with Generative Networks},
  booktitle = {Proceedings of the 28th Asia and South Pacific Design Automation Conference}
  }

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• 26. Siva Satyendra Sahoo, Salim Ullah, Akash Kumar, "AxOMaP: Designing FPGA-based Approximate Arithmetic Operators using Mathematical Programming", arXiv, 2023. [doi] [Bibtex & Downloads]

  AxOMaP: Designing FPGA-based Approximate Arithmetic Operators using Mathematical Programming

  Reference

  Siva Satyendra Sahoo, Salim Ullah, Akash Kumar, "AxOMaP: Designing FPGA-based Approximate Arithmetic Operators using Mathematical Programming", arXiv, 2023. [doi]

  Bibtex

  @misc{https://doi.org/10.48550/arxiv.2309.13445,
  doi = {10.48550/ARXIV.2309.13445},
  url = {https://arxiv.org/abs/2309.13445},
  author = {Sahoo, Siva Satyendra and Ullah, Salim and Kumar, Akash},
  keywords = {Hardware Architecture (cs.AR), Artificial Intelligence (cs.AI), Signal Processing (eess.SP), FOS: Computer and information sciences, FOS: Computer and information sciences, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering},
  title = {AxOMaP: Designing FPGA-based Approximate Arithmetic Operators using Mathematical Programming},
  publisher = {arXiv},
  year = {2023},
  copyright = {Creative Commons Attribution Non Commercial No Derivatives 4.0 International}
  }

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• 25. Siva Satyendra Sahoo, Anup Das, Akash Kumar, "Fault Tolerant Architectures", Chapter in Handbook of Computer Architecture, Springer Nature Singapore, pp. 1–44, 2023. [doi] [Bibtex & Downloads]

  Fault Tolerant Architectures

  Reference

  Siva Satyendra Sahoo, Anup Das, Akash Kumar, "Fault Tolerant Architectures", Chapter in Handbook of Computer Architecture, Springer Nature Singapore, pp. 1–44, 2023. [doi]

  Bibtex

  @incollection{Sahoo_2023,
  doi = {10.1007/978-981-15-6401-7_11-1},
  url = {https://doi.org/10.1007%2F978-981-15-6401-7_11-1},
  year = 2023,
  publisher = {Springer Nature Singapore},
  pages = {1--44},
  author = {Siva Satyendra Sahoo and Anup Das and Akash Kumar},
  title = {Fault Tolerant Architectures},
  booktitle = {Handbook of Computer Architecture}
  }

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• 24. Siva Satyendra Sahoo, Salim Ullah, Soumyo Bhattacharjee, Akash Kumar, "AxOCS: Scaling FPGA-based Approximate Operators using Configuration Supersampling", arXiv, 2023. [doi] [Bibtex & Downloads]

  AxOCS: Scaling FPGA-based Approximate Operators using Configuration Supersampling

  Reference

  Siva Satyendra Sahoo, Salim Ullah, Soumyo Bhattacharjee, Akash Kumar, "AxOCS: Scaling FPGA-based Approximate Operators using Configuration Supersampling", arXiv, 2023. [doi]

  Bibtex

  @misc{https://doi.org/10.48550/arxiv.2309.12830,
  doi = {10.48550/ARXIV.2309.12830},
  url = {https://arxiv.org/abs/2309.12830},
  author = {Sahoo, Siva Satyendra and Ullah, Salim and Bhattacharjee, Soumyo and Kumar, Akash},
  keywords = {Hardware Architecture (cs.AR), Artificial Intelligence (cs.AI), Machine Learning (cs.LG), Signal Processing (eess.SP), FOS: Computer and information sciences, FOS: Computer and information sciences, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, B.2.4; J.6; J.7; I.2.1},
  title = {AxOCS: Scaling FPGA-based Approximate Operators using Configuration Supersampling},
  publisher = {arXiv},
  year = {2023},
  copyright = {Creative Commons Attribution Non Commercial No Derivatives 4.0 International}
  }

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• 2022

• 23. Behnaz Ranjbar, Ali Hosseinghorban, Siva Satyendra Sahoo, Alireza Ejlali, Akash Kumar, "BOT-MICS: Bounding Time Using Analytics in Mixed-Criticality Systems", In IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Institute of Electrical and Electronics Engineers (IEEE), vol. 41, no. 10, pp. 3239-3251, October 2022. [doi] [Bibtex & Downloads]

  BOT-MICS: Bounding Time Using Analytics in Mixed-Criticality Systems

  Reference

  Behnaz Ranjbar, Ali Hosseinghorban, Siva Satyendra Sahoo, Alireza Ejlali, Akash Kumar, "BOT-MICS: Bounding Time Using Analytics in Mixed-Criticality Systems", In IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Institute of Electrical and Electronics Engineers (IEEE), vol. 41, no. 10, pp. 3239-3251, October 2022. [doi]

  Bibtex

  @article{Ranjbar_2022_tcad,
  year = 2022,
  publisher = {Institute of Electrical and Electronics Engineers ({IEEE})},
  month ={October},
  author = {Behnaz Ranjbar and Ali Hosseinghorban and Siva Satyendra Sahoo and Alireza Ejlali and Akash Kumar},
  title = {BOT-MICS: Bounding Time Using Analytics in Mixed-Criticality Systems},
  journal = {{IEEE} Transactions on Computer-Aided Design of Integrated Circuits and Systems},
  year={2022},
  volume={41},
  number={10},
  pages={3239-3251},
  doi={10.1109/TCAD.2021.3127867}
  }

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  Behnaz_TCAD_DATE2021_Extension_Camera_ready [PDF]

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• 22. Amritha Immaneni, Salim Ullah, Suresh Nambi, Siva Satyendra Sahoo, Akash Kumar, "PosAx-O: Exploring Operator-level Approximatons for Posit Arithmetic in Embedded AI/ML" (to appear), In Proceeding: Euromicro Conference on Digital System Design (DSD), pp. 1-6, Aug 2022. [Bibtex & Downloads]

  PosAx-O: Exploring Operator-level Approximatons for Posit Arithmetic in Embedded AI/ML

  Reference

  Amritha Immaneni, Salim Ullah, Suresh Nambi, Siva Satyendra Sahoo, Akash Kumar, "PosAx-O: Exploring Operator-level Approximatons for Posit Arithmetic in Embedded AI/ML" (to appear), In Proceeding: Euromicro Conference on Digital System Design (DSD), pp. 1-6, Aug 2022.

  Bibtex

  @InProceedings{posax,
  author = {Amritha Immaneni and Salim Ullah and Suresh Nambi and Siva Satyendra Sahoo and Akash Kumar},
  title = {PosAx-O: Exploring Operator-level Approximatons for Posit Arithmetic in Embedded AI/ML},
  booktitle = {Euromicro Conference on Digital System Design (DSD)},
  year = {2022},
  month = {Aug},
  pages={1-6},
  }

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  PosAx_O [PDF]

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• 21. Salim Ullah, Siva Satyendra Sahoo, Nemath Ahmed, Debabrata Chaudhury, Akash Kumar, "AppAxO: Designing Application-specific Approximate Operators for FPGA-based Embedded Systems", In ACM Transactions on Embedded Computing Systems (TECS), pp. 1–31, January 2022. [Bibtex & Downloads]

  AppAxO: Designing Application-specific Approximate Operators for FPGA-based Embedded Systems

  Reference

  Salim Ullah, Siva Satyendra Sahoo, Nemath Ahmed, Debabrata Chaudhury, Akash Kumar, "AppAxO: Designing Application-specific Approximate Operators for FPGA-based Embedded Systems", In ACM Transactions on Embedded Computing Systems (TECS), pp. 1–31, January 2022.

  Bibtex

  @article{ullah2022appaxo,
  title={AppAxO: Designing Application-specific Approximate Operators for FPGA-based Embedded Systems},
  author={Ullah, Salim and Sahoo, Siva Satyendra and Ahmed, Nemath and Chaudhury, Debabrata and Kumar, Akash},
  journal={ACM Transactions on Embedded Computing Systems (TECS)},
  volume={},
  number={},
  pages={1--31},
  year={2022},
  month={January}
  }

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  AppAxO [PDF]

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• 2021

• 20. Siva Satyendra Sahoo, Akash Kumar, "Using Monte Carlo Tree Search for CAD - A Case-study with Designing Cross-layer Reliability for Heterogeneous Embedded Systems", In Proceeding: 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SOC), Oct 2021. [Bibtex & Downloads]

  Using Monte Carlo Tree Search for CAD - A Case-study with Designing Cross-layer Reliability for Heterogeneous Embedded Systems

  Reference

  Siva Satyendra Sahoo, Akash Kumar, "Using Monte Carlo Tree Search for CAD - A Case-study with Designing Cross-layer Reliability for Heterogeneous Embedded Systems", In Proceeding: 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SOC), Oct 2021.

  Bibtex

  @INPROCEEDINGS{siva-vlsisoc2021-mctsclr,
  author={Siva Satyendra Sahoo and Akash Kumar},
  booktitle={2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SOC)},
  title={Using Monte Carlo Tree Search for CAD - A Case-study with Designing Cross-layer Reliability for Heterogeneous Embedded Systems},
  year={2021},
  month={Oct},
  volume={},
  number={}}

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  MCTS_CLRIntegTMap [PDF]

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• 19. Siva Satyendra Sahoo, Akash Kumar, "CLEO-CoDe: Exploiting Constrained Decoding for Cross-Layer Energy Optimization in Heterogeneous Embedded Systems", In Proceeding: 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SOC), Oct 2021. [Bibtex & Downloads]

  CLEO-CoDe: Exploiting Constrained Decoding for Cross-Layer Energy Optimization in Heterogeneous Embedded Systems

  Reference

  Siva Satyendra Sahoo, Akash Kumar, "CLEO-CoDe: Exploiting Constrained Decoding for Cross-Layer Energy Optimization in Heterogeneous Embedded Systems", In Proceeding: 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SOC), Oct 2021.

  Bibtex

  @INPROCEEDINGS{siva-vlsisoc2021-cleocode,
  author={Siva Satyendra Sahoo and Akash Kumar},
  booktitle={2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SOC)},
  title={CLEO-CoDe: Exploiting Constrained Decoding for Cross-Layer Energy Optimization in Heterogeneous Embedded Systems},
  year={2021},
  month={Oct},
  volume={},
  number={}}

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  CLEOCoDe [PDF]

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• 18. Siva Satyendra Sahoo, Akash Kumar, Martin Decky, Samuel C. B. Wong, Geoff V. Merrett, Yinyuan Zhao, Jiachen Wang, Xiaohang Wang, Amit Kumar Singh, "Emergent design challenges for embedded systems and paths forward: mixed-criticality, energy, reliability and security perspectives", Proceedings of the 2021 International Conference on Hardware/Software Codesign and System Synthesis, ACM, Sep 2021. [doi] [Bibtex & Downloads]

  Emergent design challenges for embedded systems and paths forward: mixed-criticality, energy, reliability and security perspectives

  Reference

  Siva Satyendra Sahoo, Akash Kumar, Martin Decky, Samuel C. B. Wong, Geoff V. Merrett, Yinyuan Zhao, Jiachen Wang, Xiaohang Wang, Amit Kumar Singh, "Emergent design challenges for embedded systems and paths forward: mixed-criticality, energy, reliability and security perspectives", Proceedings of the 2021 International Conference on Hardware/Software Codesign and System Synthesis, ACM, Sep 2021. [doi]

  Abstract

  Modern embedded systems need to cater for several needs depending upon the application domain in which they are deployed. For example, mixed-critically needs to be considered for real-time and safety-critical systems and energy for battery-operated systems. At the same time, many of these systems demand for their reliability and security as well. With electronic systems being used for increasingly varying type of applications, novel challenges have emerged. For example, with the use of embedded systems in increasingly complex applications that execute tasks with varying priorities, mixed-criticality systems present unique challenges to designing reliable systems. The large design space involved in implementing cross-layer reliability in heterogeneous systems, particularly for mixed-critical systems, poses new research problems. Further, malicious security attacks on these systems pose additional extraordinary challenges in the system design. In this paper, we cover both the industry and academia perspectives of the challenges posed by these emergent aspects of system design towards designing high-performance, energy-efficient, reliable and/or secure embedded systems. We also provide our views on paths forward.

  Bibtex

  @inproceedings{Sahoo_2021,
  doi = {10.1145/3478684.3479246},
  url = {https://doi.org/10.1145%2F3478684.3479246},
  year = 2021,
  month = {sep},
  publisher = ,
  author = {Siva Satyendra Sahoo and Akash Kumar and Martin Decky and Samuel C. B. Wong and Geoff V. Merrett and Yinyuan Zhao and Jiachen Wang and Xiaohang Wang and Amit Kumar Singh},
  title = {Emergent design challenges for embedded systems and paths forward: mixed-criticality, energy, reliability and security perspectives},
  booktitle = {Proceedings of the 2021 International Conference on Hardware/Software Codesign and System Synthesis}
  }

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  ESWEEK_2021_SS [PDF]

  Related Paths

  Resilience Path

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• 17. Suresh Nambi, Salim Ullah, Siva Satyendra Sahoo, Aditya Lohana, Farhad Merchant, Akash Kumar, "ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-based Systems", In IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), pp. 1–1, July 2021. [doi] [Bibtex & Downloads]

  ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-based Systems

  Reference

  Suresh Nambi, Salim Ullah, Siva Satyendra Sahoo, Aditya Lohana, Farhad Merchant, Akash Kumar, "ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-based Systems", In IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), pp. 1–1, July 2021. [doi]

  Bibtex

  @article{Nambi_2021,
  doi = {10.1109/access.2021.3098730},
  url = {https://doi.org/10.1109%2Faccess.2021.3098730},
  year = 2021,
  month = {July},
  publisher = {Institute of Electrical and Electronics Engineers ({IEEE})},
  pages = {1--1},
  author = {Suresh Nambi and Salim Ullah and Siva Satyendra Sahoo and Aditya Lohana and Farhad Merchant and Akash Kumar},
  title = {{ExPAN}(N)D: Exploring Posits for Efficient Artificial Neural Network Design in {FPGA}-based Systems},
  journal = {{IEEE} Access}
  }

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  ExPANND_Exploring_Posits_for_Efficient_Artificial_Neural_Network_Design_in_FPGA-based_Systems [PDF]

  Related Paths

  Orchestration Path

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• 16. S. Ullah, S. S. Sahoo, A. Kumar, "CLAppED: A Design Framework for Implementing Cross-Layer Approximation in FPGA-based Embedded Systems", In Proceeding: 2021 58th ACM/IEEE Design Automation Conference (DAC), pp. 1-6, Jul 2021. [Bibtex & Downloads]

  CLAppED: A Design Framework for Implementing Cross-Layer Approximation in FPGA-based Embedded Systems

  Reference

  S. Ullah, S. S. Sahoo, A. Kumar, "CLAppED: A Design Framework for Implementing Cross-Layer Approximation in FPGA-based Embedded Systems", In Proceeding: 2021 58th ACM/IEEE Design Automation Conference (DAC), pp. 1-6, Jul 2021.

  Bibtex

  @INPROCEEDINGS{clapped,
  author={S. {Ullah} and S. S. {Sahoo} and A. {Kumar}},
  booktitle={2021 58th ACM/IEEE Design Automation Conference (DAC)},
  title={CLAppED: A Design Framework for Implementing Cross-Layer Approximation in FPGA-based Embedded Systems},
  year={2021},
  month={jul},
  volume={},
  number={},
  pages={1-6}
  }

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  CLAppED_A_Design_Framework_for_Implementing_Cross-Layer_Approximation_in_FPGA-based_Embedded_Systems [PDF]

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• 15. Siva Satyendra Sahoo, Akhil Raj Baranwal, Salim Ullah, Akash Kumar, "MemOReL: A Memory-Oriented Optimization Approach to Reinforcement Learning on FPGA-Based Embedded Systems", Association for Computing Machinery, pp. 339–346, New York, NY, USA, June 2021. [doi] [Bibtex & Downloads]

  MemOReL: A Memory-Oriented Optimization Approach to Reinforcement Learning on FPGA-Based Embedded Systems

  Reference

  Siva Satyendra Sahoo, Akhil Raj Baranwal, Salim Ullah, Akash Kumar, "MemOReL: A Memory-Oriented Optimization Approach to Reinforcement Learning on FPGA-Based Embedded Systems", Association for Computing Machinery, pp. 339–346, New York, NY, USA, June 2021. [doi]

  Bibtex

  @inproceedings{10.1145/3453688.3461533,
  author = {Sahoo, Siva Satyendra and Baranwal, Akhil Raj and Ullah, Salim and Kumar, Akash},
  title = {MemOReL: A Memory-Oriented Optimization Approach to Reinforcement Learning on FPGA-Based Embedded Systems},
  year = {2021},
  month={June},
  isbn = {9781450383936},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3453688.3461533},
  doi = {10.1145/3453688.3461533},
  pages = {339–346},
  numpages = {8},
  keywords = {memory-centric computing, fpga, energy-efficient computing, high-level synthesis, hardware accelerators},
  location = {Virtual Event, USA},
  series = {GLSVLSI '21}
  }

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• 14. Behnaz Ranjbar, Ali Hosseinghorban, Siva Satyendra Sahoo, Alireza Ejlali, Akash Kumar, "Improving the Timing Behaviour of Mixed-Criticality Systems Using Chebyshev's Theorem", In Proceeding: 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 264-269, Feb. 2021. [doi] [Bibtex & Downloads]

  Improving the Timing Behaviour of Mixed-Criticality Systems Using Chebyshev's Theorem

  Reference

  Behnaz Ranjbar, Ali Hosseinghorban, Siva Satyendra Sahoo, Alireza Ejlali, Akash Kumar, "Improving the Timing Behaviour of Mixed-Criticality Systems Using Chebyshev's Theorem", In Proceeding: 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 264-269, Feb. 2021. [doi]

  Bibtex

  @INPROCEEDINGS{behnaz2021date,
  author={Ranjbar, Behnaz and Hosseinghorban, Ali and Sahoo, Siva Satyendra and Ejlali, Alireza and Kumar, Akash},
  booktitle={2021 Design, Automation \& Test in Europe Conference \& Exhibition (DATE)},
  title={Improving the Timing Behaviour of Mixed-Criticality Systems Using Chebyshev's Theorem},
  year={2021},
  month={Feb.},
  volume={},
  number={},
  pages={264-269},
  organization={IEEE},
  doi={10.23919/DATE51398.2021.9474263}}

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• 13. Siva Satyendra Sahoo, Behnaz Ranjbar, Akash Kumar, "Reliability-Aware Resource Management in Multi-/Many-Core Systems: A Perspective Paper", In Journal of Low Power Electronics and Applications, MDPI AG, vol. 11, no. 1, pp. 7, Jan 2021. [doi] [Bibtex & Downloads]

  Reliability-Aware Resource Management in Multi-/Many-Core Systems: A Perspective Paper

  Reference

  Siva Satyendra Sahoo, Behnaz Ranjbar, Akash Kumar, "Reliability-Aware Resource Management in Multi-/Many-Core Systems: A Perspective Paper", In Journal of Low Power Electronics and Applications, MDPI AG, vol. 11, no. 1, pp. 7, Jan 2021. [doi]

  Bibtex

  @article{Sahoo_2021,
  doi = {10.3390/jlpea11010007},
  url = {https://doi.org/10.3390%2Fjlpea11010007},
  year = 2021,
  month = {jan},
  publisher = {{MDPI} {AG}},
  volume = {11},
  number = {1},
  pages = {7},
  author = {Siva Satyendra Sahoo and Behnaz Ranjbar and Akash Kumar},
  title = {Reliability-Aware Resource Management in Multi-/Many-Core Systems: A Perspective Paper},
  journal = {Journal of Low Power Electronics and Applications}
  }

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• 2020

• 12. Akhil Raj Baranwal, Salim Ullah, Siva Satyendra Sahoo, Akash Kumar, "ReLAccS: A Multi-level Approach to Accelerator Design for Reinforcement Learning on FPGA-based Systems", In IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Institute of Electrical and Electronics Engineers (IEEE), pp. 1–1, 28 October 2020. [doi] [Bibtex & Downloads]

  ReLAccS: A Multi-level Approach to Accelerator Design for Reinforcement Learning on FPGA-based Systems

  Reference

  Akhil Raj Baranwal, Salim Ullah, Siva Satyendra Sahoo, Akash Kumar, "ReLAccS: A Multi-level Approach to Accelerator Design for Reinforcement Learning on FPGA-based Systems", In IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Institute of Electrical and Electronics Engineers (IEEE), pp. 1–1, 28 October 2020. [doi]

  Bibtex

  @article{Baranwal_2020,
  doi = {10.1109/tcad.2020.3028350},
  url = {https://doi.org/10.1109%2Ftcad.2020.3028350},
  year = 2020,
  month={28 October},
  publisher = {Institute of Electrical and Electronics Engineers ({IEEE})},
  pages = {1--1},
  author = {Akhil Raj Baranwal and Salim Ullah and Siva Satyendra Sahoo and Akash Kumar},
  title = {{ReLAccS}: A Multi-level Approach to Accelerator Design for Reinforcement Learning on {FPGA}-based Systems},
  journal = {{IEEE} Transactions on Computer-Aided Design of Integrated Circuits and Systems},
  }

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• 11. Siva Satyendra Sahoo, Bharadwaj Veeravalli, Akash Kumar, "Markov Chain-based Modeling and Analysis of Checkpointing with Rollback Recovery for Efficient DSE in Soft Real-time Systems", In Proceeding: 2020 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, DFT 2020, ESA-ESRIN, Frascati (Rome) Italy, October 19-21, 2020, October 2020. [Bibtex & Downloads]

  Markov Chain-based Modeling and Analysis of Checkpointing with Rollback Recovery for Efficient DSE in Soft Real-time Systems

  Reference

  Siva Satyendra Sahoo, Bharadwaj Veeravalli, Akash Kumar, "Markov Chain-based Modeling and Analysis of Checkpointing with Rollback Recovery for Efficient DSE in Soft Real-time Systems", In Proceeding: 2020 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, DFT 2020, ESA-ESRIN, Frascati (Rome) Italy, October 19-21, 2020, October 2020.

  Bibtex

  @InProceedings{SahooVK020,
  author = {Siva Satyendra Sahoo and Bharadwaj Veeravalli and Akash Kumar},
  title = ,
  booktitle = {2020 {IEEE} {International Symposium on Defect and Fault Tolerance in {VLSI} and Nanotechnology Systems, {DFT} 2020, ESA-ESRIN, Frascati (Rome) Italy, October 19-21, 2020}},
  year = {2020},
  month = {October},
  }

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• 10. S. S. Sahoo, B. Veeravalli, A. Kumar, "CL(R)Early: An Early-stage DSE Methodology for Cross-Layer Reliability-aware Heterogeneous Embedded Systems", In Proceeding: 2020 57th ACM/IEEE Design Automation Conference (DAC), pp. 1-6, 2020. [doi] [Bibtex & Downloads]

  CL(R)Early: An Early-stage DSE Methodology for Cross-Layer Reliability-aware Heterogeneous Embedded Systems

  Reference

  S. S. Sahoo, B. Veeravalli, A. Kumar, "CL(R)Early: An Early-stage DSE Methodology for Cross-Layer Reliability-aware Heterogeneous Embedded Systems", In Proceeding: 2020 57th ACM/IEEE Design Automation Conference (DAC), pp. 1-6, 2020. [doi]

  Bibtex

  @INPROCEEDINGS{9218747,
  author={S. S. {Sahoo} and B. {Veeravalli} and A. {Kumar}},
  booktitle={2020 57th ACM/IEEE Design Automation Conference (DAC)},
  title={CL(R)Early: An Early-stage DSE Methodology for Cross-Layer Reliability-aware Heterogeneous Embedded Systems},
  year={2020},
  volume={},
  number={},
  pages={1-6},
  doi={10.1109/DAC18072.2020.9218747}}

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• 9. S. Ullah, H. Schmidl, S. S. Sahoo, S. Rehman, A. Kumar, "Area-optimized Accurate and Approximate Softcore Signed Multiplier Architectures", In IEEE Transactions on Computers, April 2020. [Bibtex & Downloads]

  Area-optimized Accurate and Approximate Softcore Signed Multiplier Architectures

  Reference

  S. Ullah, H. Schmidl, S. S. Sahoo, S. Rehman, A. Kumar, "Area-optimized Accurate and Approximate Softcore Signed Multiplier Architectures", In IEEE Transactions on Computers, April 2020.

  Bibtex

  @ARTICLE{9072581,
  author={S. {Ullah} and H. {Schmidl} and S. S. {Sahoo} and S. {Rehman} and A. {Kumar}},
  journal={IEEE Transactions on Computers},
  title={Area-optimized Accurate and Approximate Softcore Signed Multiplier Architectures},
  year={2020},
  month={April},}

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• 8. Shubham Rai, Michael Raitza, Siva Satyendra Sahoo, Akash Kumar, "DiSCERN: Distilling Standard-Cells for Emerging Reconfigurable Nanotechnologies", In Proceeding: 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), IEEE, Mar 2020. [doi] [Bibtex & Downloads]

  DiSCERN: Distilling Standard-Cells for Emerging Reconfigurable Nanotechnologies

  Reference

  Shubham Rai, Michael Raitza, Siva Satyendra Sahoo, Akash Kumar, "DiSCERN: Distilling Standard-Cells for Emerging Reconfigurable Nanotechnologies", In Proceeding: 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), IEEE, Mar 2020. [doi]

  Bibtex

  @inproceedings{Rai_2020,
  doi = {10.23919/date48585.2020.9116216},
  url = {https://doi.org/10.23919%2Fdate48585.2020.9116216},
  year = 2020,
  month = {mar},
  publisher = ,
  author = {Shubham Rai and Michael Raitza and Siva Satyendra Sahoo and Akash Kumar},
  title = {{DiSCERN}: Distilling Standard-Cells for Emerging Reconfigurable Nanotechnologies},
  booktitle = {2020 Design, Automation {\&} Test in Europe Conference {\&} Exhibition ({DATE})}
  }

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• 2019

• 7. S. S. Sahoo, B. Veeravalli, A. Kumar, "A Hybrid Agent-based Design Methodology for Dynamic Cross-layer Reliability in Heterogeneous Embedded Systems", Proceedings of the 56th Annual Design Automation Conference, ACM, New York, NY, USA, June 2019. [doi] [Bibtex & Downloads]

  A Hybrid Agent-based Design Methodology for Dynamic Cross-layer Reliability in Heterogeneous Embedded Systems

  Reference

  S. S. Sahoo, B. Veeravalli, A. Kumar, "A Hybrid Agent-based Design Methodology for Dynamic Cross-layer Reliability in Heterogeneous Embedded Systems", Proceedings of the 56th Annual Design Automation Conference, ACM, New York, NY, USA, June 2019. [doi]

  Bibtex

  @inproceedings{SahooVK019_1,
  author = {S. S. Sahoo and B. Veeravalli and A. Kumar},
  title = ,
  booktitle = ,
  series = {DAC '19},
  year = {2019},
  month={june},
  isbn = {978-1-4503-6725-7/19/06},
  location = {Las Vegas, NV, USA},
  numpages = {6},
  url = {http://doi.acm.org/10.1145/3316781.3317746},
  doi = {10.1145/3316781.3317746},
  acmid = {3317746},
  publisher = {ACM},
  address = {New York, NY, USA},
  keywords = {Cross-layer Reliability, Run-time Resource Management, Embedded Systems, Reinforcement Learning},
  }

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  a38-Sahoo [PDF]

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• 2018

• 6. S. S. Sahoo, T. D. A. Nguyen, B. Veeravalli, A. Kumar, "QoS-Aware Cross-Layer Reliability-Integrated FPGA-Based Dynamic Partially Reconfigurable System Partitioning", In Proceeding: 2018 International Conference on Field-Programmable Technology (FPT), pp. 230-233, Dec 2018. [doi] [Bibtex & Downloads]

  QoS-Aware Cross-Layer Reliability-Integrated FPGA-Based Dynamic Partially Reconfigurable System Partitioning

  Reference

  S. S. Sahoo, T. D. A. Nguyen, B. Veeravalli, A. Kumar, "QoS-Aware Cross-Layer Reliability-Integrated FPGA-Based Dynamic Partially Reconfigurable System Partitioning", In Proceeding: 2018 International Conference on Field-Programmable Technology (FPT), pp. 230-233, Dec 2018. [doi]

  Bibtex

  @INPROCEEDINGS{8742320,
  author={S. S. {Sahoo} and T. D. A. {Nguyen} and B. {Veeravalli} and A. {Kumar}},
  booktitle={2018 International Conference on Field-Programmable Technology (FPT)},
  title={QoS-Aware Cross-Layer Reliability-Integrated FPGA-Based Dynamic Partially Reconfigurable System Partitioning},
  year={2018},
  volume={},
  number={},
  pages={230-233},
  keywords={circuit optimisation;field programmable gate arrays;integrated circuit design;integrated circuit reliability;logic design;quality of service;Dynamic Partial Reconfiguration;QoS-aware cross-layer reliability-integrated design methodology;FPGA-based DPR systems;FPGA-based dynamic partially reconfigurable system;partially reconfigurable modules;quality of service;fault-mitigation;Conferences;Cross-layer Reliability;Dynamic Partial Reconfiguration;Field Programmable Gate Array;Embedded Systems},
  doi={10.1109/FPT.2018.00041},
  ISSN={},
  month={Dec},}

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  08742320 [PDF]

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• 5. S.S. Sahoo, T.D.A. Nguyen, B. Veeravalli, A. Kumar, "Multi-objective design space exploration for system partitioning of FPGA-based Dynamic Partially Reconfigurable Systems", In Integration, November 2018. [doi] [Bibtex & Downloads]

  Multi-objective design space exploration for system partitioning of FPGA-based Dynamic Partially Reconfigurable Systems

  Reference

  S.S. Sahoo, T.D.A. Nguyen, B. Veeravalli, A. Kumar, "Multi-objective design space exploration for system partitioning of FPGA-based Dynamic Partially Reconfigurable Systems", In Integration, November 2018. [doi]

  Abstract

  Dynamic Partial Reconfiguration (DPR) enables resource sharing in FPGA-based systems. It can also be used for the mitigation of aging-related permanent faults by increasing the number of redundant Partially Reconfigurable Regions (PRRs). Normally, these PRRs are able to host any of the Partially Reconfigurable Modules (PRMs), or tasks, at one particular instance. This kind of system is called homogeneous. However, the FPGA resource constraints limit the amount of homogeneous redundancy that can be used and hence affect the lifetime of the system. This issue can be addressed by utilizing the heterogeneous approach where each PRR now only hosts a subset of the tasks. Further, the deadlines of the applications must also be taken care of in the design phase to decide the mapping and scheduling of tasks to PRRs. To this end, we propose an application-specific multi-objective system-level design methodology to determine the appropriate number of PRRs and the mapping and scheduling of tasks to the PRRs. Specifically, we propose a lifetime-aware scheduling method that maximizes the system's mean time to failure (MTTF) with different tolerances in the makespan specification of an application. We use the scheduler along with an automated floorplanner for design space exploration at design-time to generate a feasible heterogeneous PRR-based system. Our experiments show that the heterogeneous systems can offer more than 2x lifetime improvement over homogeneous ones. It also offers better scaling with increased tolerance in makespan specification.

  Bibtex

  @article{SAHOO2018,
  title = "Multi-objective design space exploration for system partitioning of FPGA-based Dynamic Partially Reconfigurable Systems",
  journal = "Integration",
  year = "2018",
  month={November},
  issn = "0167-9260",
  doi = "https://doi.org/10.1016/j.vlsi.2018.10.006",
  url = "http://www.sciencedirect.com/science/article/pii/S0167926018302608",
  author = "S.S. Sahoo and T.D.A. Nguyen and B. Veeravalli and A. Kumar",
  keywords = "Dynamic partial reconfiguration, Field programmable gate arrays, Lifetime-aware scheduling, Task-graphs, Reliability, Heterogeneous systems, Real-time systems",
  abstract = "Dynamic Partial Reconfiguration (DPR) enables resource sharing in FPGA-based systems. It can also be used for the mitigation of aging-related permanent faults by increasing the number of redundant Partially Reconfigurable Regions (PRRs). Normally, these PRRs are able to host any of the Partially Reconfigurable Modules (PRMs), or tasks, at one particular instance. This kind of system is called homogeneous. However, the FPGA resource constraints limit the amount of homogeneous redundancy that can be used and hence affect the lifetime of the system. This issue can be addressed by utilizing the heterogeneous approach where each PRR now only hosts a subset of the tasks. Further, the deadlines of the applications must also be taken care of in the design phase to decide the mapping and scheduling of tasks to PRRs. To this end, we propose an application-specific multi-objective system-level design methodology to determine the appropriate number of PRRs and the mapping and scheduling of tasks to the PRRs. Specifically, we propose a lifetime-aware scheduling method that maximizes the system's mean time to failure (MTTF) with different tolerances in the makespan specification of an application. We use the scheduler along with an automated floorplanner for design space exploration at design-time to generate a feasible heterogeneous PRR-based system. Our experiments show that the heterogeneous systems can offer more than 2x lifetime improvement over homogeneous ones. It also offers better scaling with increased tolerance in makespan specification."
  }

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• 4. Siva Satyendra Sahoo, Tuan Duy Anh Nguyen, B. Veeravalli, Akash Kumar, "Lifetime-aware Design Methodology for Dynamic Partially Reconfigurable Systems", In Proceeding: 2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), pp. 1-6, Jan 2018. [Bibtex & Downloads]

  Lifetime-aware Design Methodology for Dynamic Partially Reconfigurable Systems

  Reference

  Siva Satyendra Sahoo, Tuan Duy Anh Nguyen, B. Veeravalli, Akash Kumar, "Lifetime-aware Design Methodology for Dynamic Partially Reconfigurable Systems", In Proceeding: 2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), pp. 1-6, Jan 2018.

  Bibtex

  @INPROCEEDINGS{dprLifeASPDAC,
  author={Siva Satyendra Sahoo and Tuan Duy Anh Nguyen and B. Veeravalli and Akash Kumar},
  booktitle={2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC)},
  title={Lifetime-aware Design Methodology for Dynamic Partially Reconfigurable Systems },
  year={2018},
  volume={},
  number={},
  pages={1-6},
  keywords={Reconfigurable Computing, Dynamic Partial Reconfiguration, Integer Linear Programming, Network-on-Chip, FPGA Floorplanning},
  month={Jan},}

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  ASPDAC-2018-siva [PDF]

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• 3. Siva Satyendra Sahoo, Bharadwaj Veeravalli, Akash Kumar, "CLRFrame: An Analysis Framework for Designing Cross-Layer Reliability in Embedded Systems", In Proceeding: 2018 31st International Conference on VLSI Design and 2018 17th International Conference on Embedded Systems (VLSID), pp. 1-6, Jan 2018. [Bibtex & Downloads]

  CLRFrame: An Analysis Framework for Designing Cross-Layer Reliability in Embedded Systems

  Reference

  Siva Satyendra Sahoo, Bharadwaj Veeravalli, Akash Kumar, "CLRFrame: An Analysis Framework for Designing Cross-Layer Reliability in Embedded Systems", In Proceeding: 2018 31st International Conference on VLSI Design and 2018 17th International Conference on Embedded Systems (VLSID), pp. 1-6, Jan 2018.

  Bibtex

  @INPROCEEDINGS{VLSID2018-siva,
  author={Siva Satyendra Sahoo and Bharadwaj Veeravalli and Akash Kumar},
  booktitle={2018 31st International Conference on VLSI Design and 2018 17th International Conference on Embedded Systems (VLSID)},
  title={CLRFrame: An Analysis Framework for Designing Cross-Layer Reliability in Embedded Systems },
  year={2018},
  volume={},
  number={},
  pages={1-6},
  keywords={Cross-layer Resilience, Real-time systems, FaultTolerance },
  doi={},
  ISSN={},
  month={Jan},}

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  VLSID-2018-siva [PDF]

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• 2016

• 2. Siva Satyendra Sahoo, Bharadwaj Veeravalli, Akash Kumar, "Cross-layer fault-tolerant design of real-time systems", In Proceeding: International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFTS), pp. 1–6, Sept 2016. [Bibtex & Downloads]

  Cross-layer fault-tolerant design of real-time systems

  Reference

  Siva Satyendra Sahoo, Bharadwaj Veeravalli, Akash Kumar, "Cross-layer fault-tolerant design of real-time systems", In Proceeding: International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFTS), pp. 1–6, Sept 2016.

  Bibtex

  @INPROCEEDINGS{sssahooDFT16,
  author={Siva Satyendra Sahoo and Bharadwaj Veeravalli and Akash Kumar},
  booktitle={International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFTS)},
  title={Cross-layer fault-tolerant design of real-time systems},
  year={2016},
  pages={1--6},
  month={Sept}}

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  DFT_cam_ready_Certified [PDF]

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• 1. Siva Satyendra Sahoo, Akash Kumar, Bharadwaj Veeravalli, "Design and Evaluation of Reliability-oriented Task Re-Mapping in MPSoCs usingTime-Series Analysis of Intermittent faults", In Proceeding: Design, Automation and Test in Europe Conference and Exhibition (DATE), Mar 2016. [Bibtex & Downloads]

  Design and Evaluation of Reliability-oriented Task Re-Mapping in MPSoCs usingTime-Series Analysis of Intermittent faults

  Reference

  Siva Satyendra Sahoo, Akash Kumar, Bharadwaj Veeravalli, "Design and Evaluation of Reliability-oriented Task Re-Mapping in MPSoCs usingTime-Series Analysis of Intermittent faults", In Proceeding: Design, Automation and Test in Europe Conference and Exhibition (DATE), Mar 2016.

  Bibtex

  @inproceedings{siva2016date,
  title={Design and Evaluation of Reliability-oriented Task Re-Mapping in MPSoCs usingTime-Series Analysis of Intermittent faults},
  author={Siva Satyendra Sahoo and Akash Kumar and Bharadwaj Veeravalli},
  booktitle={Design, Automation and Test in Europe Conference and Exhibition (DATE)},
  year={2016},
  month={mar},
  organization={IEEE}
  }

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  date-2016-385-camera ready [PDF]

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