Adarsha Balaji

According to our database, Adarsha Balaji authored at least 22 papers between 2018 and 2023.

Collaborative distances:

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

2023

NeuSB: A Scalable Interconnect Architecture for Spiking Neuromorphic Hardware.

Adarsha Balaji, Phu Khanh Huynh, Francky Catthoor, Nikil D. Dutt, Jeffrey L. Krichmar, Anup Das

IEEE Trans. Emerg. Top. Comput., 2023

Application - Hardware Co-Optimization of Crossbar-Based Neuromorphic Systems.

Adarsha Balaji, Prasanna Balaprakash

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Design-Technology Co-Optimization for NVM-Based Neuromorphic Processing Elements.

Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy

ACM Trans. Embed. Comput. Syst., November, 2022

DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware.

Shihao Song, Harry Chong, Adarsha Balaji, Anup Das, James A. Shackleford, Nagarajan Kandasamy

ACM Trans. Embed. Comput. Syst., 2022

Implementing Spiking Neural Networks on Neuromorphic Architectures: A Review.

Phu Khanh Huynh, M. Lakshmi Varshika, Ankita Paul, Murat Isik, Adarsha Balaji, Anup Das

CoRR, 2022

Design of Many-Core Big Little µBrains for Energy-Efficient Embedded Neuromorphic Computing.

M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi, Anup Das, Jan Stuijt, Francky Catthoor

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

Dynamic Reliability Management in Neuromorphic Computing.

Shihao Song, Jui Hanamshet, Adarsha Balaji, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor

ACM J. Emerg. Technol. Comput. Syst., 2021

Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition.

Adarsha Balaji, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor

IEEE Embed. Syst. Lett., 2021

Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing.

M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi, Anup Das, Jan Stuijt, Francky Catthoor

CoRR, 2021

NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks.

Adarsha Balaji, Shihao Song, Twisha Titirsha, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

On the role of system software in energy management of neuromorphic computing.

Twisha Titirsha, Shihao Song, Adarsha Balaji, Anup Das

Proceedings of the CF '21: Computing Frontiers Conference, 2021

2020

Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware.

Adarsha Balaji, Thibaut Marty, Anup Das, Francky Catthoor

J. Signal Process. Syst., 2020

Mapping Spiking Neural Networks to Neuromorphic Hardware.

Adarsha Balaji, Francky Catthoor, Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Giacomo Indiveri, Jeffrey L. Krichmar, Nikil D. Dutt, Siebren Schaafsma

IEEE Trans. Very Large Scale Integr. Syst., 2020

Compiling Spiking Neural Networks to Neuromorphic Hardware.

Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy, James A. Shackleford

Proceedings of the 21st ACM SIGPLAN/SIGBED International Conference on Languages, 2020

PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network.

Adarsha Balaji, Prathyusha Adiraju, Hirak Jyoti Kashyap, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Francky Catthoor

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints.

Adarsha Balaji, Anup Das

Proceedings of the 11th International Green and Sustainable Computing Workshops, 2020

2019

RotaSYN: Rotary Traveling Wave Oscillator SYNthesizer.

Ragh Kuttappa, Adarsha Balaji, Vasil Pano, Baris Taskin, Hamid Mahmoodi

IEEE Trans. Circuits Syst. I Regul. Pap., 2019

A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing.

Adarsha Balaji, Shihao Song, Anup Das, Nikil D. Dutt, Jeff Krichmar, Nagarajan Kandasamy, Francky Catthoor

IEEE Comput. Archit. Lett., 2019

A Framework for the Analysis of Throughput-Constraints of SNNs on Neuromorphic Hardware.

Adarsha Balaji, Anup Das

Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019

Exploration of Segmented Bus As Scalable Global Interconnect for Neuromorphic Computing.

Adarsha Balaji, Yuefeng Wu, Anup Das, Francky Catthoor, Siebren Schaafsma

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

Design Methodology for Embedded Approximate Artificial Neural Networks.

Adarsha Balaji, Salim Ullah, Anup Das, Akash Kumar

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

2018

Power-Accuracy Trade-Offs for Heartbeat Classification on Neural Networks Hardware.

Adarsha Balaji, Federico Corradi, Anup Das, Sandeep Pande, Siebren Schaafsma, Francky Catthoor

J. Low Power Electron., 2018