Adarsha Balaji

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 35

Top Topics

Biologically Inspired

Energy Management

Processing Elements

Top Venues

ACM Trans. Embed. Comput. Syst.

ACM Great Lakes Symposium on VLSI

IEEE Trans. Circuits Syst. I Regul. Pap.

Publications

Adarsha Balaji, Ramyad Hadidi, Gregory Kollmer, Mohammed E. Fouda, Prasanna Balaprakash
Network architecture search of X-ray based scientific applications. CoRR (2024)
Adarsha Balaji, Prasanna Balaprakash
Application - Hardware Co-Optimization of Crossbar-Based Neuromorphic Systems. ICMLA (2023)
Adarsha Balaji, Phu Khanh Huynh, Francky Catthoor, Nikil D. Dutt, Jeffrey L. Krichmar, Anup Das
NeuSB: A Scalable Interconnect Architecture for Spiking Neuromorphic Hardware. IEEE Trans. Emerg. Top. Comput. 11 (2) (2023)
Shihao Song, Harry Chong, Adarsha Balaji, Anup Das, James A. Shackleford, Nagarajan Kandasamy
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware. ACM Trans. Embed. Comput. Syst. 21 (3) (2022)
Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy
Design-Technology Co-Optimization for NVM-Based Neuromorphic Processing Elements. ACM Trans. Embed. Comput. Syst. 21 (6) (2022)
Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy
Design-Technology Co-Optimization for NVM-based Neuromorphic Processing Elements. CoRR (2022)
M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi, Anup Das, Jan Stuijt, Francky Catthoor
Design of Many-Core Big Little µBrains for Energy-Efficient Embedded Neuromorphic Computing. DATE (2022)
Phu Khanh Huynh, M. Lakshmi Varshika, Ankita Paul, Murat Isik, Adarsha Balaji, Anup Das
Implementing Spiking Neural Networks on Neuromorphic Architectures: A Review. CoRR (2022)
Twisha Titirsha, Shihao Song, Adarsha Balaji, Anup Das
On the role of system software in energy management of neuromorphic computing. CF (2021)
Shihao Song, Harry Chong, Adarsha Balaji, Anup Das, James A. Shackleford, Nagarajan Kandasamy
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware. CoRR (2021)
Adarsha Balaji, Shihao Song, Twisha Titirsha, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks. ICONS (2021)
Adarsha Balaji, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition. IEEE Embed. Syst. Lett. 13 (3) (2021)
Twisha Titirsha, Shihao Song, Adarsha Balaji, Anup Das
On the Role of System Software in Energy Management of Neuromorphic Computing. CoRR (2021)
Adarsha Balaji, Shihao Song, Twisha Titirsha, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks. CoRR (2021)
M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi, Anup Das, Jan Stuijt, Francky Catthoor
Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing. CoRR (2021)
Shihao Song, Jui Hanamshet, Adarsha Balaji, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor
Dynamic Reliability Management in Neuromorphic Computing. CoRR (2021)
Shihao Song, Jui Hanamshet, Adarsha Balaji, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Nagarajan Kandasamy, Francky Catthoor
Dynamic Reliability Management in Neuromorphic Computing. ACM J. Emerg. Technol. Comput. Syst. 17 (4) (2021)
Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy, James A. Shackleford
Compiling Spiking Neural Networks to Neuromorphic Hardware. CoRR (2020)
Adarsha Balaji, Thibaut Marty, Anup Das, Francky Catthoor
Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware. CoRR (2020)
Adarsha Balaji, Shihao Song, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, James A. Shackleford, Nagarajan Kandasamy, Francky Catthoor
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition. CoRR (2020)
Adarsha Balaji, Thibaut Marty, Anup Das, Francky Catthoor
Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware. J. Signal Process. Syst. 92 (11) (2020)
Adarsha Balaji, Prathyusha Adiraju, Hirak Jyoti Kashyap, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Francky Catthoor
PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network. CoRR (2020)
Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy, James A. Shackleford
Compiling Spiking Neural Networks to Neuromorphic Hardware. LCTES (2020)
Adarsha Balaji, Francky Catthoor, Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Giacomo Indiveri, Jeffrey L. Krichmar, Nikil D. Dutt, Siebren Schaafsma
Mapping Spiking Neural Networks to Neuromorphic Hardware. IEEE Trans. Very Large Scale Integr. Syst. 28 (1) (2020)
Adarsha Balaji, Prathyusha Adiraju, Hirak Jyoti Kashyap, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Francky Catthoor
PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network. IJCNN (2020)
Adarsha Balaji, Anup Das
Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints. CoRR (2020)
Adarsha Balaji, Anup Das
Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints. IGSC (Workshops) (2020)
Adarsha Balaji, Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell'Anna, Giacomo Indiveri, Jeffrey L. Krichmar, Nikil D. Dutt, Siebren Schaafsma, Francky Catthoor
Mapping Spiking Neural Networks to Neuromorphic Hardware. CoRR (2019)
Adarsha Balaji, Yuefeng Wu, Anup Das, Francky Catthoor, Siebren Schaafsma
Exploration of Segmented Bus As Scalable Global Interconnect for Neuromorphic Computing. ACM Great Lakes Symposium on VLSI (2019)
Adarsha Balaji, Salim Ullah, Anup Das, Akash Kumar
Design Methodology for Embedded Approximate Artificial Neural Networks. ACM Great Lakes Symposium on VLSI (2019)
Adarsha Balaji, Anup Das
A Framework for the Analysis of Throughput-Constraints of SNNs on Neuromorphic Hardware. ISVLSI (2019)
Adarsha Balaji, Shihao Song, Anup Das, Nikil D. Dutt, Jeff Krichmar, Nagarajan Kandasamy, Francky Catthoor
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing. IEEE Comput. Archit. Lett. 18 (2) (2019)
Ragh Kuttappa, Adarsha Balaji, Vasil Pano, Baris Taskin, Hamid Mahmoodi
RotaSYN: Rotary Traveling Wave Oscillator SYNthesizer. IEEE Trans. Circuits Syst. I Regul. Pap. (7) (2019)
Adarsha Balaji, Shihao Song, Anup Das, Nikil D. Dutt, Jeffrey L. Krichmar, Nagarajan Kandasamy, Francky Catthoor
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing. CoRR (2019)
Adarsha Balaji, Federico Corradi, Anup Das, Sandeep Pande, Siebren Schaafsma, Francky Catthoor
Power-Accuracy Trade-Offs for Heartbeat Classification on Neural Networks Hardware. J. Low Power Electron. 14 (4) (2018)