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Adarsha Balaji
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2020 – today
- 2024
- [i15]Adarsha Balaji, Ramyad Hadidi, Gregory Kollmer, Mohammed E. Fouda, Prasanna Balaprakash:
Network architecture search of X-ray based scientific applications. CoRR abs/2404.10689 (2024) - 2023
- [j10]Adarsha Balaji
, Phu Khanh Huynh, Francky Catthoor
NeuSB: A Scalable Interconnect Architecture for Spiking Neuromorphic Hardware. IEEE Trans. Emerg. Top. Comput. 11(2): 373-387 (2023) - [c10]Adarsha Balaji, Prasanna Balaprakash:
Application - Hardware Co-Optimization of Crossbar-Based Neuromorphic Systems. ICMLA 2023: 1253-1260 - 2022
- [j9]Shihao Song, Harry Chong, Adarsha Balaji, Anup Das
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware. ACM Trans. Embed. Comput. Syst. 21(3): 27:1-27:35 (2022) - [j8]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): 77:1-77:27 (2022) - [c9]M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi
Design of Many-Core Big Little µBrains for Energy-Efficient Embedded Neuromorphic Computing. DATE 2022: 1011-1016 - [i14]Phu Khanh Huynh, M. Lakshmi Varshika, Ankita Paul, Murat Isik, Adarsha Balaji, Anup Das:
Implementing Spiking Neural Networks on Neuromorphic Architectures: A Review. CoRR abs/2202.08897 (2022) - [i13]Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy:
Design-Technology Co-Optimization for NVM-based Neuromorphic Processing Elements. CoRR abs/2203.05311 (2022) - 2021
- [j7]Adarsha Balaji, Shihao Song, Anup Das
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition. IEEE Embed. Syst. Lett. 13(3): 142-145 (2021) - [j6]Shihao Song, Jui Hanamshet, Adarsha Balaji, Anup Das
Dynamic Reliability Management in Neuromorphic Computing. ACM J. Emerg. Technol. Comput. Syst. 17(4): 63:1-63:27 (2021) - [c8]Twisha Titirsha, Shihao Song, Adarsha Balaji, Anup Das
On the role of system software in energy management of neuromorphic computing. CF 2021: 124-132 - [c7]Adarsha Balaji, Shihao Song, Twisha Titirsha, Anup Das
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks. ICONS 2021: 10:1-10:9 - [i12]Twisha Titirsha, Shihao Song, Adarsha Balaji, Anup Das:
On the Role of System Software in Energy Management of Neuromorphic Computing. CoRR abs/2103.12231 (2021) - [i11]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 abs/2105.01795 (2021) - [i10]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 abs/2105.02038 (2021) - [i9]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 abs/2108.02023 (2021) - [i8]M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi
Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing. CoRR abs/2111.11838 (2021) - 2020
- [j5]Adarsha Balaji
Mapping Spiking Neural Networks to Neuromorphic Hardware. IEEE Trans. Very Large Scale Integr. Syst. 28(1): 76-86 (2020) - [j4]Adarsha Balaji, Thibaut Marty, Anup Das
Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware. J. Signal Process. Syst. 92(11): 1293-1302 (2020) - [c6]Adarsha Balaji, Anup Das
Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints. IGSC (Workshops) 2020: 1-3 - [c5]Adarsha Balaji, Prathyusha Adiraju, Hirak Jyoti Kashyap, Anup Das
PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network. IJCNN 2020: 1-10 - [c4]Shihao Song, Adarsha Balaji, Anup Das
Compiling Spiking Neural Networks to Neuromorphic Hardware. LCTES 2020: 38-50 - [i7]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 abs/2003.09696 (2020) - [i6]Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy, James A. Shackleford:
Compiling Spiking Neural Networks to Neuromorphic Hardware. CoRR abs/2004.03717 (2020) - [i5]Adarsha Balaji, Thibaut Marty, Anup Das, Francky Catthoor:
Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware. CoRR abs/2006.06777 (2020) - [i4]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 abs/2009.09298 (2020) - [i3]Adarsha Balaji, Anup Das:
Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints. CoRR abs/2011.13965 (2020)
2010 – 2019
- 2019
- [j3]Adarsha Balaji
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing. IEEE Comput. Archit. Lett. 18(2): 149-152 (2019) - [j2]Ragh Kuttappa
RotaSYN: Rotary Traveling Wave Oscillator SYNthesizer. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(7): 2685-2698 (2019) - [c3]Adarsha Balaji, Salim Ullah, Anup Das
Design Methodology for Embedded Approximate Artificial Neural Networks. ACM Great Lakes Symposium on VLSI 2019: 489-494 - [c2]Adarsha Balaji, Yuefeng Wu, Anup Das
Exploration of Segmented Bus As Scalable Global Interconnect for Neuromorphic Computing. ACM Great Lakes Symposium on VLSI 2019: 495-499 - [c1]Adarsha Balaji, Anup Das
A Framework for the Analysis of Throughput-Constraints of SNNs on Neuromorphic Hardware. ISVLSI 2019: 193-196 - [i2]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 abs/1909.01843 (2019) - [i1]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 abs/1911.00548 (2019) - 2018
- [j1]Adarsha Balaji, Federico Corradi
Power-Accuracy Trade-Offs for Heartbeat Classification on Neural Networks Hardware. J. Low Power Electron. 14(4): 508-519 (2018)
Coauthor Index
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