Shvetank Prakash

According to our database, Shvetank Prakash authored at least 15 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Lifetime-Aware Design for Item-Level Intelligence at the Extreme Edge.

Shvetank Prakash, Andrew Cheng, Olof Kindgren, Ashiq Ahamed, Graham Knight, Jedrzej Kufel, Francisco Rodriguez, Arya Tschand, David Kong, Mariam Elgamal, Jerry Huang, Emma Chen, Gage Hills, Richard Price, Emre Ozer, Vijay Janapa Reddi

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

QuArch: A Benchmark for Evaluating LLM Reasoning in Computer Architecture.

Shvetank Prakash, Andrew Cheng, Arya Tschand, Mark Mazumder, Varun Gohil, Jeffrey Jian Ma, Jason Yik, Zishen Wan, Jessica Quaye, Elisavet Lydia Alvanaki, Avinash Kumar, Chandrashis Mazumdar, Tuhin Khare, Alexander Ingare, Ikechukwu Uchendu, Radhika Ghosal, Abhishek Tyagi, Chenyu Wang, Andrea Mattia Garavagno, Sarah Gu, Alice Guo, Grace Hur, Luca P. Carloni, Tushar Krishna, Ankita Nayak, Amir Yazdanbakhsh, Vijay Janapa Reddi

CoRR, October, 2025

Lifetime-Aware Design of Item-Level Intelligence.

Shvetank Prakash, Andrew Cheng, Olof Kindgren, Ashiq Ahamed, Graham Knight, Jedrzej Kufel, Francisco Rodriguez, Arya Tschand, David Kong, Mariam Elgamal, Jerry Huang, Emma Chen, Gage Hills, Richard Price, Emre Ozer, Vijay Janapa Reddi

CoRR, September, 2025

QuArch: A Question-Answering Dataset for AI Agents in Computer Architecture.

Shvetank Prakash, Andrew Cheng, Jason Yik, Arya Tschand, Radhika Ghosal, Ikechukwu Uchendu, Jessica Quaye, Jeffrey Jian Ma, Shreyas Grampurohit, Sofia Giannuzzi, Arnav Balyan, Fin Amin, Aadya Pipersenia, Yash Choudhary, Ankita Nayak, Amir Yazdanbakhsh, Vijay Janapa Reddi

IEEE Comput. Archit. Lett., 2025

333-eDRAM - 3T Embedded DRAM Leveraging Monolithic 3D Integration of 3 Transistor Types: IGZO, Carbon Nanotube and Silicon FETs.

David Kong, Shvetank Prakash, Jedrzej Kufel, Georgios Kyriazidis, Yasmine Omri, David Verity, Emre Ozer, Vijay Janapa Reddi, Gage Hills

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024

Bendable non-silicon RISC-V microprocessor.

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

Nat., October, 2024

2023

Is TinyML Sustainable?

Shvetank Prakash, Matthew Stewart, Colby R. Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi

Commun. ACM, November, 2023

Datasheets for Machine Learning Sensors.

Matthew Stewart, Pete Warden, Yasmine Omri, Shvetank Prakash, Joao Santos, Shawn Hymel, Benjamin Brown, Jim MacArthur, Nat Jeffries, Brian Plancher, Vijay Janapa Reddi

CoRR, 2023

Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers.

Shvetank Prakash, Matthew Stewart, Colby R. Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi

CoRR, 2023

CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (TinyML) Acceleration on FPGAs.

Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2023

ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design.

Srivatsan Krishnan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour, Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins, Devashree Tripathy, Aleksandra Faust, Vijay Janapa Reddi

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

CFU Playground: Want a faster ML processor? Do it yourself!

Shvetank Prakash, Tim Callahan, Joseph Bushagour, Colby R. Banbury, Alan V. Green, Pete Warden, Tim Ansell, Vijay Janapa Reddi

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning.

Javier M. Duarte, Nhan Tran, Benjamin Hawks, Christian Herwig, Jules Muhizi, Shvetank Prakash, Vijay Janapa Reddi

CoRR, 2022

Machine Learning Sensors.

Pete Warden, Matthew Stewart, Brian Plancher, Colby R. Banbury, Shvetank Prakash, Emma Chen, Zain Asgar, Sachin Katti, Vijay Janapa Reddi

CoRR, 2022

Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots.

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

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022