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ORCIDKanishkan Vadivel
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2020 – today
- 2025
[c14]Rajendra Bishnoi, Mohammad Amin Yaldagard
, Said Hamdioui, Kanishkan Vadivel, Manolis Sifalakis, Nicolas Daniel Rodriguez, Pedro Julián, Lothar Ratschbacher, Maen Mallah, Yogesh Ramesh Patil, Rashid Ali, Fabian Chersi:
Multi-Partner Project: A Deep Learning Platform Targeting Embedded Hardware for Edge-AI Applications (NEUROKIT2E). DATE 2025: 1-7- [c13]Prithvish Nembhani, Oliver Rhodes, Guangzhi Tang, Alexandra F. Dobrita, Yingfu Xu, Kanishkan Vadivel, Kevin Shidqi, Paul Detterer, Mario Konijnenburg, Gert-Jan van Schaik, Manolis Sifalakis, Zaid Al-Ars, Amirreza Yousefzadeh:
SENMap: Multi-objective dataflow mapping & synthesis for hybrid scalable neuromorphic systems. IJCNN 2025: 1-8 - [i5]Roy Meijer, Paul Detterer, Amirreza Yousefzadeh, Alberto Patiño-Saucedo, Guangzhi Tang, Kanishkan Vadivel, Yinfu Xu, Manil Dev Gomony, Federico Corradi, Bernabé Linares-Barranco, Manolis Sifalakis:
Efficient Synaptic Delay Implementation in Digital Event-Driven AI Accelerators. CoRR abs/2501.13610 (2025) - [i4]Prithvish Nembhani, Oliver Rhodes, Guangzhi Tang, Alexandra F. Dobrita, Yingfu Xu, Kanishkan Vadivel, Kevin Shidqi, Paul Detterer, Mario Konijnenburg, Gert-Jan van Schaik, Manolis Sifalakis, Zaid Al-Ars, Amirreza Yousefzadeh:
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems. CoRR abs/2506.03450 (2025) - 2024
- [j2]Alexandra F. Dobrita, Amirreza Yousefzadeh, Simon Thorpe, Kanishkan Vadivel, Paul Detterer, Guangzhi Tang, Gert-Jan van Schaik, Mario Konijnenburg, Anteneh Gebregiorgis, Said Hamdioui, Manolis Sifalakis:
EON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction. IEEE Trans. Circuits Syst. Artif. Intell. 1(2): 128-140 (2024) - [j1]Barry de Bruin, Kanishkan Vadivel, Mark Wijtvliet, Pekka Jääskeläinen, Henk Corporaal:
R-Blocks: an Energy-Efficient, Flexible, and Programmable CGRA. ACM Trans. Reconfigurable Technol. Syst. 17(2): 34:1-34:34 (2024) - [c12]Junren Chen, Kanishkan Vadivel, Dawit Burusie Abdi, Priya Venugopal, Refik Bilgic, Giacomo Indiveri, Fernando García-Redondo, Dwaipayan Biswas:
Scaling NVMs in Event-Driven Architectures for Edge Inference. APCCAS 2024: 654-658 - [c11]Cina Arjmand, Yingfu Xu, Kevin Shidqi, Alexandra F. Dobrita, Kanishkan Vadivel, Paul Detterer, Manolis Sifalakis, Amirreza Yousefzadeh, Guangzhi Tang:
TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-Based Vision. ICONS 2024: 94-101 - [c10]Prithvish Nembhani, Kanishkan Vadivel, Guangzhi Tang, Mohammad Tahghighi, Gert-Jan van Schaik, Manolis Sifalakis, Zaid Al-Ars, Amirreza Yousefzadeh:
SENSIM: An Event-driven Parallel Simulator for Multi-core Neuromorphic Systems. IJCNN 2024: 1-6 - [i3]Alexandra F. Dobrita, Amirreza Yousefzadeh, Simon Thorpe, Kanishkan Vadivel, Paul Detterer, Guangzhi Tang, Gert-Jan van Schaik, Mario Konijnenburg, Anteneh Gebregiorgis, Said Hamdioui, Manolis Sifalakis:
EON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction. CoRR abs/2406.17285 (2024) - [i2]Cina Arjmand, Yingfu Xu, Kevin Shidqi, Alexandra F. Dobrita, Kanishkan Vadivel, Paul Detterer, Manolis Sifalakis, Amirreza Yousefzadeh, Guangzhi Tang:
TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-based Vision. CoRR abs/2406.17483 (2024) - 2022
- [c9]Fernando García-Redondo, Ali BanaGozar, Kanishkan Vadivel, Henk Corporaal, Shidhartha Das:
SACA: System-level Analog CIM Accelerators Simulation Framework: Accurate Simulation of Non-Ideal Components. DCIS 2022: 1-6 - [c8]Kanishkan Vadivel, Fernando García-Redondo, Ali BanaGozar, Henk Corporaal, Shidhartha Das:
SACA: System-level Analog CIM Accelerators Simulation Framework: Architecture and Cycle-accurate System-to-device Simulator. DCIS 2022: 1-6 - [c7]Kanishkan Vadivel, Barry de Bruin, Roel Jordans, Henk Corporaal, Pekka Jääskeläinen:
Prebypass: Software Register File Bypassing for Reduced Interconnection Architectures. DSD 2022: 157-164 - 2020
- [c6]Kanishkan Vadivel, Lorenzo Chelini, Ali BanaGozar, Gagandeep Singh, Stefano Corda, Roel Jordans, Henk Corporaal:
TDO-CIM: Transparent Detection and Offloading for Computation In-memory. DATE 2020: 1602-1605 - [c5]Konrad Komisarczyk, Lorenzo Chelini, Kanishkan Vadivel, Roel Jordans, Henk Corporaal:
PET-to-MLIR: A polyhedral front-end for MLIR. DSD 2020: 551-556 - [c4]Ali BanaGozar, Kanishkan Vadivel, Joonas Multanen, Pekka Jääskeläinen, Sander Stuijk, Henk Corporaal:
System Simulation of Memristor Based Computation in Memory Platforms. SAMOS 2020: 152-168 - [i1]Kanishkan Vadivel, Lorenzo Chelini, Ali BanaGozar, Gagandeep Singh, Stefano Corda, Roel Jordans, Henk Corporaal:
TDO-CIM: Transparent Detection and Offloading for Computation In-memory. CoRR abs/2007.00060 (2020)
2010 – 2019
- 2019
- [c3]Ali BanaGozar, Kanishkan Vadivel, Sander Stuijk, Henk Corporaal, Stephan Wong, Muath Abu Lebdeh, Jintao Yu, Said Hamdioui:
CIM-SIM: Computation In Memory SIMuIator. SCOPES 2019: 1-4 - [c2]Kanishkan Vadivel, Roel Jordans, Sander Stuijk, Henk Corporaal, Pekka Jääskeläinen, Heikki Kultala:
Towards Efficient Code Generation for Exposed Datapath Architectures. SCOPES 2019: 86-89 - 2017
- [c1]Kanishkan Vadivel, Mark Wijtvliet, Roel Jordans, Henk Corporaal:
Loop Overhead Reduction Techniques for Coarse Grained Reconfigurable Architectures. DSD 2017: 14-21
Coauthor Index
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