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ORCIDShvetank Prakash
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Journal Articles
- 2024
[j2]Emre Ozer
, Jedrzej Kufel, Shvetank Prakash, Alireza Raisiardali, Olof Kindgren, Ronald Wong, Nelson Ng, Damien Jausseran, Feras Alkhalil, David Kong, Gage Hills, Richard Price, Vijay Janapa Reddi:
Bendable non-silicon RISC-V microprocessor. Nat. 634(8033): 341-346 (2024)- 2023
- [j1]Shvetank Prakash, Matthew Stewart, Colby R. Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi:
Is TinyML Sustainable? Commun. ACM 66(11): 68-77 (2023)
Conference and Workshop Papers
- 2023
- [c4]Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi:
CFU Playground: Want a faster ML processor? Do it yourself! DATE 2023: 1-2 - [c3]Srivatsan Krishnan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour, Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins, Devashree Tripathy, Aleksandra Faust, Vijay Janapa Reddi:
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design. ISCA 2023: 14:1-14:16 - [c2]Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi:
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (TinyML) Acceleration on FPGAs. ISPASS 2023: 157-167 - 2022
- [c1]Sabrina M. Neuman, Brian Plancher, Bardienus Pieter Duisterhof, Srivatsan Krishnan, Colby R. Banbury, Mark Mazumder, Shvetank Prakash, Jason Jabbour, Aleksandra Faust, Guido C. H. E. de Croon, Vijay Janapa Reddi:
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. AICAS 2022: 296-299
Informal and Other Publications
- 2023
- [i7]Shvetank Prakash, Matthew Stewart, Colby R. Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi:
Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers. CoRR abs/2301.11899 (2023) - [i6]Matthew Stewart, Pete Warden, Yasmine Omri, Shvetank Prakash, Joao Santos, Shawn Hymel, Benjamin Brown, Jim MacArthur, Nat Jeffries, Brian Plancher, Vijay Janapa Reddi:
Datasheets for Machine Learning Sensors. CoRR abs/2306.08848 (2023) - [i5]Srivatsan Krishnan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour, Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins, Devashree Tripathy, Aleksandra Faust, Vijay Janapa Reddi:
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design. CoRR abs/2306.08888 (2023) - 2022
- [i4]Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi:
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs. CoRR abs/2201.01863 (2022) - [i3]Sabrina M. Neuman, Brian Plancher, Bardienus Pieter Duisterhof, Srivatsan Krishnan, Colby R. Banbury, Mark Mazumder, Shvetank Prakash, Jason Jabbour, Aleksandra Faust, Guido C. H. E. de Croon, Vijay Janapa Reddi:
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. CoRR abs/2205.05748 (2022) - [i2]Pete Warden, Matthew Stewart, Brian Plancher, Colby R. Banbury, Shvetank Prakash, Emma Chen, Zain Asgar, Sachin Katti, Vijay Janapa Reddi:
Machine Learning Sensors. CoRR abs/2206.03266 (2022) - [i1]Javier M. Duarte, Nhan Tran, Benjamin Hawks, Christian Herwig, Jules Muhizi, Shvetank Prakash, Vijay Janapa Reddi:
FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning. CoRR abs/2207.07958 (2022)
Coauthor Index
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