Anish Krishnakumar

According to our database, Anish Krishnakumar authored at least 20 papers between 2019 and 2025.

Collaborative distances:

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

2025

Tutorial: A Novel Runtime Environment for Accelerator-Rich Heterogeneous Architectures.

Joshua Mack, Anish Krishnakumar, Ümit Y. Ogras, Ali Akoglu

ACM Trans. Embed. Comput. Syst., January, 2025

2024

PED: Probabilistic Energy-efficient Deadline-aware scheduler for heterogeneous SoCs.

Xing Chen, Anish Krishnakumar, Ümit Y. Ogras, Chaitali Chakrabarti

J. Syst. Archit., February, 2024

FALCON: An FPGA Emulation Platform for Domain-Specific SoCs (DSSoCs).

Anish Krishnakumar, Hanguang Yu, Tutu Ajayi, A. Alper Goksoy, Vishrut Pandey, Joshua Mack, Md Sahil Hassan, Kuan-Yu Chen, Chaitali Chakrabarti, Daniel W. Bliss, Ali Akoglu, Hun-Seok Kim, Ronald G. Dreslinski, David T. Blaauw, Ümit Y. Ogras

IEEE Des. Test, February, 2024

2023

DTRL: Decision Tree-based Multi-Objective Reinforcement Learning for Runtime Task Scheduling in Domain-Specific System-on-Chips.

Toygun Basaklar, A. Alper Goksoy, Anish Krishnakumar, Suat Gumussoy, Ümit Y. Ogras

ACM Trans. Embed. Comput. Syst., October, 2023

Domain-Specific Architectures: Research Problems and Promising Approaches.

Anish Krishnakumar, Ümit Y. Ogras, Radu Marculescu, Michael Kishinevsky, Trevor N. Mudge

ACM Trans. Embed. Comput. Syst., March, 2023

MQL: ML-Assisted Queuing Latency Analysis for Data Center Networks.

Shruti Yadav Narayana, Jie Tong, Anish Krishnakumar, Nuriye Yildirim, Emily Shriver, Mahesh Ketkar, Ümit Y. Ogras

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

2022

DAS: Dynamic Adaptive Scheduling for Energy-Efficient Heterogeneous SoCs.

A. Alper Goksoy, Anish Krishnakumar, Md Sahil Hassan, Allen-Jasmin Farcas, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras

IEEE Embed. Syst. Lett., 2022

A Domain-Specific System-On-Chip Design for Energy Efficient Wearable Edge AI Applications.

Yigit Tuncel, Anish Krishnakumar, Aishwarya Lekshmi Chithra, Younghyun Kim, Ümit Y. Ogras

Proceedings of the ISLPED '22: ACM/IEEE International Symposium on Low Power Electronics and Design, Boston, MA, USA, August 1, 2022

Enabling Software-Defined RF Convergence with a Novel Coarse-Scale Heterogeneous Processor.

Daniel W. Bliss, Tutu Ajayi, Ali Akoglu, Ilkin Aliyev, Toygun Basaklar, Leul Belayneh, David T. Blaauw, John S. Brunhaver, Chaitali Chakrabarti, Liangliang Chang, Kuan-Yu Chen, Ming-Hung Chen, Xing Chen, Alex R. Chiriyath, Alhad Daftardar, Ronald G. Dreslinski, Arindam Dutta, Allen-Jasmin Farcas, Y. Fu, A. Alper Goksoy, X. He, Md Sahil Hassan, Andrew Herschfelt, Jacob Holtom, Hun-Seok Kim, A. N. Krishnakumar, Yang Li, Owen Ma, Joshua Mack, Saurav Mallik, Sumit K. Mandal, Radu Marculescu, Brittany M. McCall, Trevor N. Mudge, Ümit Y. Ogras, Vishrut Pandey, Saquib Ahmad Siddiqui, Yu-Hsiu Sun, Adarsh A. Venkataramani, Xiangdong Wei, B. R. Willis, Hanguang Yu, Yufan Yue

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

INDENT: Incremental Online Decision Tree Training for Domain-Specific Systems-on-Chip.

Anish Krishnakumar, Radu Marculescu, Ümit Y. Ogras

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

2021

Performance analysis and optimization of decision tree classifiers on embedded devices: work-in-progress.

Anish Krishnakumar, Ümit Y. Ogras

Proceedings of the EMSOFT '21: Proceedings of the 2021 International Conference on Embedded Software, Virtual Event, October 8, 2021

2020

Runtime Task Scheduling Using Imitation Learning for Heterogeneous Many-Core Systems.

Anish Krishnakumar, Samet E. Arda, A. Alper Goksoy, Sumit K. Mandal, Ümit Y. Ogras, Anderson L. Sartor, Radu Marculescu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

DS3: A System-Level Domain-Specific System-on-Chip Simulation Framework.

Samet E. Arda, Anish Krishnakumar, A. Alper Goksoy, Nirmal Kumbhare, Joshua Mack, Anderson L. Sartor, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras

IEEE Trans. Computers, 2020

Energy per Operation Optimization for Energy-Harvesting Wearable IoT Devices.

Jaehyun Park, Ganapati Bhat, Anish Krishnakumar, Cemil S. Geyik, Ümit Y. Ogras, Hyung Gyu Lee

Sensors, 2020

HiLITE: Hierarchical and Lightweight Imitation Learning for Power Management of Embedded SoCs.

Anderson L. Sartor, Anish Krishnakumar, Samet E. Arda, Ümit Y. Ogras, Radu Marculescu

IEEE Comput. Archit. Lett., 2020

User-Space Emulation Framework for Domain-Specific SoC Design.

Joshua Mack, Nirmal Kumbhare, Anish Krishnakumar, Ümit Y. Ogras, Ali Akoglu

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

Performance Analysis of Priority-Aware NoCs with Deflection Routing under Traffic Congestion.

Sumit K. Mandal, Anish Krishnakumar, Raid Ayoub, Michael Kishinevsky, Ümit Y. Ogras

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

2019

Work-in-Progress: A Simulation Framework for Domain-Specific System-on-Chips.

Samet E. Arda, Anish Krishnakumar, A. Alper Goksoy, Joshua Mack, Nirmal Kumbhare, Anderson L. Sartor, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras

CoRR, 2019

Sensor-Classifier Co-Optimization for Wearable Human Activity Recognition Applications.

Anish Krishnakumar, Ganapati Bhat, Jaehyun Park, Hyung Gyu Lee, Ümit Y. Ogras

Proceedings of the 15th IEEE International Conference on Embedded Software and Systems, 2019

A simulation framework for domain-specific system-on-chips: work-in-progress.

Samet E. Arda, Anish Krishnakumar, A. Alper Goksoy, Joshua Mack, Nirmal Kumbhare, Anderson L. Sartor, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion, 2019