
Adarsha Balaji
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2020 – today
- 2020
- [j5]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): 76-86 (2020) - [j4]Adarsha Balaji, Thibaut Marty, Anup Das, Francky Catthoor:
Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware. J. Signal Process. Syst. 92(11): 1293-1302 (2020) - [c5]Adarsha Balaji, Prathyusha Adiraju, Hirak J. 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: 1-10 - [c4]Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy, James A. Shackleford:
Compiling Spiking Neural Networks to Neuromorphic Hardware. LCTES 2020: 38-50 - [i7]Adarsha Balaji, Prathyusha Adiraju, Hirak J. 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
, 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): 149-152 (2019) - [j2]Ragh Kuttappa
, Adarsha Balaji
, Vasil Pano, Baris Taskin
, Hamid Mahmoodi
:
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, Akash Kumar:
Design Methodology for Embedded Approximate Artificial Neural Networks. ACM Great Lakes Symposium on VLSI 2019: 489-494 - [c2]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: 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
, 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): 508-519 (2018)
Coauthor Index

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