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2020 – today
- 2023
[c17]Natalia Frumkin, Dibakar Gope, Diana Marculescu
:
Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers. ICCV 2023: 16932-16942- [i15]Yuji Chai, Devashree Tripathy, Chuteng Zhou, Dibakar Gope, Igor Fedorov, Ramon Matas Navarro, David Brooks, Gu-Yeon Wei, Paul N. Whatmough:
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices. CoRR abs/2301.10999 (2023) - [i14]Natalia Frumkin, Dibakar Gope, Diana Marculescu:
Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers. CoRR abs/2308.10814 (2023) - 2022
- [c16]Kartikeya Bhardwaj, Dibakar Gope, James Ward, Paul N. Whatmough, Danny Loh:
Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge. DATE 2022: 418-423 - [c15]Kartikeya Bhardwaj, Milos Milosavljevic, Liam O'Neil, Dibakar Gope, Ramon Matas Navarro, Alex Chalfin, Naveen Suda, Lingchuan Meng, Danny Loh:
Collapsible Linear Blocks for Super-Efficient Super Resolution. MLSys 2022 - [i13]Kartikeya Bhardwaj, James Ward, Caleb Tung, Dibakar Gope, Lingchuan Meng, Igor Fedorov, Alex Chalfin, Paul N. Whatmough, Danny Loh:
Restructurable Activation Networks. CoRR abs/2208.08562 (2022) - [i12]Natalia Frumkin, Dibakar Gope, Diana Marculescu:
CPT-V: A Contrastive Approach to Post-Training Quantization of Vision Transformers. CoRR abs/2211.09643 (2022) - 2021
- [j2]Urmish Thakker, Igor Fedorov, Chu Zhou, Dibakar Gope, Matthew Mattina, Ganesh Dasika, Jesse G. Beu:
Compressing RNNs to Kilobyte Budget for IoT Devices Using Kronecker Products. ACM J. Emerg. Technol. Comput. Syst. 17(4): 46:1-46:18 (2021) - [c14]Colby R. Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakker, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough:
MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers. MLSys 2021 - [i11]Kartikeya Bhardwaj, Milos Milosavljevic, Alex Chalfin, Naveen Suda, Liam O'Neil, Dibakar Gope, Lingchuan Meng, Ramon Matas Navarro, Danny Loh:
Collapsible Linear Blocks for Super-Efficient Super Resolution. CoRR abs/2103.09404 (2021) - [i10]Kartikeya Bhardwaj, Dibakar Gope, James Ward, Paul N. Whatmough, Danny Loh:
Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge. CoRR abs/2112.14340 (2021) - 2020
- [c13]Dibakar Gope, Jesse G. Beu, Urmish Thakker, Matthew Mattina:
Ternary MobileNets via Per-Layer Hybrid Filter Banks. CVPR Workshops 2020: 3036-3046 - [c12]Urmish Thakker, Jesse G. Beu, Dibakar Gope, Ganesh Dasika, Matthew Mattina:
Rank and run-time aware compression of NLP Applications. SustaiNLP@EMNLP 2020: 8-18 - [c11]Xueqin Huang, Urmish Thakker, Dibakar Gope, Jesse G. Beu:
Pushing the Envelope of Dynamic Spatial Gating technologies. AIChallengeIoT@SenSys 2020: 21-26 - [c10]Ravi Raju, Dibakar Gope, Urmish Thakker, Jesse G. Beu:
Understanding the Impact of Dynamic Channel Pruning on Conditionally Parameterized Convolutions. AIChallengeIoT@SenSys 2020: 27-33 - [i9]Jason Lowe-Power, Abdul Mutaal Ahmad, Ayaz Akram, Mohammad Alian, Rico Amslinger, Matteo Andreozzi, Adrià Armejach, Nils Asmussen, Srikant Bharadwaj, Gabe Black, Gedare Bloom, Bobby R. Bruce, Daniel Rodrigues Carvalho, Jerónimo Castrillón, Lizhong Chen, Nicolas Derumigny, Stephan Diestelhorst, Wendy Elsasser, Marjan Fariborz, Amin Farmahini Farahani, Pouya Fotouhi, Ryan Gambord, Jayneel Gandhi, Dibakar Gope, Thomas Grass, Bagus Hanindhito, Andreas Hansson, Swapnil Haria, Austin Harris, Timothy Hayes, Adrian Herrera, Matthew Horsnell, Syed Ali Raza Jafri, Radhika Jagtap, Hanhwi Jang, Reiley Jeyapaul, Timothy M. Jones, Matthias Jung, Subash Kannoth, Hamidreza Khaleghzadeh, Yuetsu Kodama, Tushar Krishna, Tommaso Marinelli, Christian Menard, Andrea Mondelli, Tiago Mück, Omar Naji, Krishnendra Nathella, Hoa Nguyen, Nikos Nikoleris, Lena E. Olson, Marc S. Orr, Binh Pham, Pablo Prieto, Trivikram Reddy, Alec Roelke, Mahyar Samani, Andreas Sandberg, Javier Setoain, Boris Shingarov, Matthew D. Sinclair, Tuan Ta, Rahul Thakur, Giacomo Travaglini, Michael Upton, Nilay Vaish, Ilias Vougioukas, Zhengrong Wang, Norbert Wehn, Christian Weis, David A. Wood, Hongil Yoon, Éder F. Zulian:
The gem5 Simulator: Version 20.0+. CoRR abs/2007.03152 (2020) - [i8]Dibakar Gope, Jesse G. Beu, Matthew Mattina:
High Throughput Matrix-Matrix Multiplication between Asymmetric Bit-Width Operands. CoRR abs/2008.00638 (2020) - [i7]Urmish Thakker, Jesse G. Beu, Dibakar Gope, Ganesh Dasika, Matthew Mattina:
Rank and run-time aware compression of NLP Applications. CoRR abs/2010.03193 (2020) - [i6]Colby R. Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakker, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough:
MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers. CoRR abs/2010.11267 (2020)
2010 – 2019
- 2019
- [c9]Urmish Thakker, Jesse G. Beu, Dibakar Gope, Ganesh Dasika, Matthew Mattina:
Run-Time Efficient RNN Compression for Inference on Edge Devices. EMC2@HPCA/CVPR/ISCA 2019: 26-30 - [c8]Dibakar Gope, Ganesh Dasika, Matthew Mattina:
Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT Applications. SysML 2019 - [c7]Urmish Thakker, Igor Fedorov, Jesse G. Beu, Dibakar Gope, Chu Zhou, Ganesh Dasika, Matthew Mattina:
Pushing the limits of RNN Compression. EMC2@NeurIPS 2019: 18-21 - [i5]Dibakar Gope, Ganesh Dasika, Matthew Mattina:
Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT Applications. CoRR abs/1903.01531 (2019) - [i4]Urmish Thakker, Jesse G. Beu, Dibakar Gope, Chu Zhou, Igor Fedorov, Ganesh Dasika, Matthew Mattina:
Compressing RNNs for IoT devices by 15-38x using Kronecker Products. CoRR abs/1906.02876 (2019) - [i3]Urmish Thakker, Jesse G. Beu, Dibakar Gope, Ganesh Dasika, Matthew Mattina:
Run-Time Efficient RNN Compression for Inference on Edge Devices. CoRR abs/1906.04886 (2019) - [i2]Urmish Thakker, Igor Fedorov, Jesse G. Beu, Dibakar Gope, Chu Zhou, Ganesh Dasika, Matthew Mattina:
Pushing the limits of RNN Compression. CoRR abs/1910.02558 (2019) - [i1]Dibakar Gope, Jesse G. Beu, Urmish Thakker, Matthew Mattina:
Ternary MobileNets via Per-Layer Hybrid Filter Banks. CoRR abs/1911.01028 (2019) - 2018
- [c6]Dibakar Gope, Arkaprava Basu, Sooraj Puthoor, Mitesh Meswani:
A Case for Scoped Persist Barriers in GPUs. GPGPU@PPoPP 2018: 2-12 - 2017
- [j1]Vignyan Reddy Kothinti Naresh, Dibakar Gope, Mikko H. Lipasti:
The CURE: Cluster Communication Using Registers. ACM Trans. Embed. Comput. Syst. 16(5s): 124:1-124:19 (2017) - [c5]Dibakar Gope, David J. Schlais, Mikko H. Lipasti:
Architectural Support for Server-Side PHP Processing. ISCA 2017: 507-520 - 2016
- [c4]Dibakar Gope, Mikko H. Lipasti:
Hash Map Inlining. PACT 2016: 235-246 - 2014
- [c3]Dibakar Gope, Mikko H. Lipasti:
Atomic SC for simple in-order processors. HPCA 2014: 404-415 - [c2]Dibakar Gope, Mikko H. Lipasti:
Bias-Free Branch Predictor. MICRO 2014: 521-532 - 2012
- [c1]Dibakar Gope, D. M. H. Walker:
Maximizing crosstalk-induced slowdown during path delay test. ICCD 2012: 159-166
Coauthor Index
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