Aayush Ankit
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
8
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ISPASS | COMET: A Framework for Modeling Compound Operation Dataflows with Explicit Collectives. | Shubham Negi, Manik Singhal, Aayush Ankit, Sudeep Bhoja, Kaushik Roy |
| 2022 | DAC | NAX: neural architecture and memristive xbar based accelerator co-design. | Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy |
| 2022 | DATE | HyperX: A Hybrid RRAM-SRAM partitioned system for error recovery in memristive Xbars. | Adarsh Kosta, Efstathia Soufleri, Indranil Chakraborty, Amogh Agrawal, Aayush Ankit, Kaushik Roy |
| 2022 | ISLPED | Identifying Efficient Dataflows for Spiking Neural Networks. | Deepika Sharma, Aayush Ankit, Kaushik Roy |
| 2021 | ASPDAC | Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators. | Sitao Huang, Aayush Ankit, Plnio Silveira, Rodrigo Antunes, Sai Rahul Chalamalasetti, Izzat El Hajj, Dong Eun Kim, Glaucimar Aguiar, Pedro Bruel, Sergey Serebryakov, Cong Xu, Can Li, Paolo Faraboschi, John Paul Strachan, Deming Chen, Kaushik Roy, Wen-Mei W. Hwu, Dejan S. Milojicic |
| 2020 | DAC | In-Memory Computing in Emerging Memory Technologies for Machine Learning: An Overview. | Kaushik Roy, Indranil Chakraborty, Mustafa Fayez Ali, Aayush Ankit, Amogh Agrawal |
| 2020 | DAC | GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks. | Indranil Chakraborty, Mustafa Fayez Ali, Dong Eun Kim, Aayush Ankit, Kaushik Roy |
| 2019 | ASPLOS | PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference. | Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Geoffrey Ndu, Martin Foltin, R. Stanley Williams, Paolo Faraboschi, Wen-mei W. Hwu, John Paul Strachan, Kaushik Roy, Dejan S. Milojicic |
| 2019 | ICCAD | PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design. | Maryam Parsa, Aayush Ankit, Amirkoushyar Ziabari, Kaushik Roy |
| 2017 | DAC | RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks. | Aayush Ankit, Abhronil Sengupta, Priyadarshini Panda, Kaushik Roy |
| 2017 | ICCAD | TraNNsformer: Neural network transformation for memristive crossbar based neuromorphic system design. | Aayush Ankit, Abhronil Sengupta, Kaushik Roy |
| 2017 | IJCNN | Performance analysis and benchmarking of all-spin spiking neural networks (Special session paper). | Abhronil Sengupta, Aayush Ankit, Kaushik Roy |