Dibakar Gope

37 papers A* 5A 1B 1C 1Journal 19Unranked 10
YearRankTypeTitle / Venue / Authors
2025 A* conf
Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales.
CVPR
Shuokai Pan, Gerti Tuzi, Sudarshan Sreeram, Dibakar Gope
2025 J jnl
Highly Optimized Kernels and Fine-Grained Codebooks for LLM Inference on Arm CPUs.
CoRR
Dibakar Gope, David Mansell, Danny Loh, Ian Bratt
2024 J jnl
Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales.
CoRR
Shuokai Pan, Gerti Tuzi, Sudarshan Sreeram, Dibakar Gope
2023 A* conf
Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers.
ICCV
Natalia Frumkin, Dibakar Gope, Diana Marculescu
2023 J jnl
Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers.
CoRR
Natalia Frumkin, Dibakar Gope, Diana Marculescu
2023 J jnl
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices.
CoRR
Yuji Chai, Devashree Tripathy, Chuteng Zhou, Dibakar Gope, Igor Fedorov, Ramon Matas Navarro, David Brooks, Gu-Yeon Wei, Paul N. Whatmough
2022 J jnl
CPT-V: A Contrastive Approach to Post-Training Quantization of Vision Transformers.
CoRR
Natalia Frumkin, Dibakar Gope, Diana Marculescu
2022 — conf
Collapsible Linear Blocks for Super-Efficient Super Resolution.
MLSys
Kartikeya Bhardwaj, Milos Milosavljevic, Liam O'Neil, Dibakar Gope, Ramon Matas Navarro, Alex Chalfin, Naveen Suda, Lingchuan Meng, Danny Loh
2022 J jnl
Restructurable Activation Networks.
CoRR
Kartikeya Bhardwaj, James Ward, Caleb Tung, Dibakar Gope, Lingchuan Meng, Igor Fedorov, Alex Chalfin, Paul N. Whatmough, Danny Loh
2022 A conf
Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge.
DATE
Kartikeya Bhardwaj, Dibakar Gope, James Ward, Paul N. Whatmough, Danny Loh
2021 J jnl
Collapsible Linear Blocks for Super-Efficient Super Resolution.
CoRR
Kartikeya Bhardwaj, Milos Milosavljevic, Alex Chalfin, Naveen Suda, Liam O'Neil, Dibakar Gope, Lingchuan Meng, Ramon Matas Navarro, Danny Loh
2021 J jnl
Compressing RNNs to Kilobyte Budget for IoT Devices Using Kronecker Products.
ACM J. Emerg. Technol. Comput. Syst.
Urmish Thakker, Igor Fedorov, Chu Zhou, Dibakar Gope, Matthew Mattina, Ganesh Dasika, Jesse G. Beu
2021 — conf
MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers.
MLSys
Colby R. Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakker, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough
2021 J jnl
Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge.
CoRR
Kartikeya Bhardwaj, Dibakar Gope, James Ward, Paul N. Whatmough, Danny Loh
2020 J jnl
High Throughput Matrix-Matrix Multiplication between Asymmetric Bit-Width Operands.
CoRR
Dibakar Gope, Jesse G. Beu, Matthew Mattina
2020 J jnl
MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers.
CoRR
Colby R. Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakker, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough
2020 — conf
Pushing the Envelope of Dynamic Spatial Gating technologies.
AIChallengeIoT@SenSys
Xueqin Huang, Urmish Thakker, Dibakar Gope, Jesse G. Beu
2020 — conf
Rank and run-time aware compression of NLP Applications.
SustaiNLP@EMNLP
Urmish Thakker, Jesse G. Beu, Dibakar Gope, Ganesh Dasika, Matthew Mattina
2020 J jnl
Rank and run-time aware compression of NLP Applications.
CoRR
Urmish Thakker, Jesse G. Beu, Dibakar Gope, Ganesh Dasika, Matthew Mattina
2020 — conf
Ternary MobileNets via Per-Layer Hybrid Filter Banks.
CVPR Workshops
Dibakar Gope, Jesse G. Beu, Urmish Thakker, Matthew Mattina
2020 J jnl
The gem5 Simulator: Version 20.0+.
CoRR
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
2020 — conf
Understanding the Impact of Dynamic Channel Pruning on Conditionally Parameterized Convolutions.
AIChallengeIoT@SenSys
Ravi Raju, Dibakar Gope, Urmish Thakker, Jesse G. Beu
2019 J jnl
Compressing RNNs for IoT devices by 15-38x using Kronecker Products.
CoRR
Urmish Thakker, Jesse G. Beu, Dibakar Gope, Chu Zhou, Igor Fedorov, Ganesh Dasika, Matthew Mattina
2019 — conf
Pushing the limits of RNN Compression.
EMC2@NeurIPS
Urmish Thakker, Igor Fedorov, Jesse G. Beu, Dibakar Gope, Chu Zhou, Ganesh Dasika, Matthew Mattina
2019 J jnl
Pushing the limits of RNN Compression.
CoRR
Urmish Thakker, Igor Fedorov, Jesse G. Beu, Dibakar Gope, Chu Zhou, Ganesh Dasika, Matthew Mattina
2019 — conf
Run-Time Efficient RNN Compression for Inference on Edge Devices.
EMC2@HPCA/CVPR/ISCA
Urmish Thakker, Jesse G. Beu, Dibakar Gope, Ganesh Dasika, Matthew Mattina
2019 J jnl
Run-Time Efficient RNN Compression for Inference on Edge Devices.
CoRR
Urmish Thakker, Jesse G. Beu, Dibakar Gope, Ganesh Dasika, Matthew Mattina
2019 — conf
Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT Applications.
SysML
Dibakar Gope, Ganesh Dasika, Matthew Mattina
2019 J jnl
Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT Applications.
CoRR
Dibakar Gope, Ganesh Dasika, Matthew Mattina
2019 J jnl
Ternary MobileNets via Per-Layer Hybrid Filter Banks.
CoRR
Dibakar Gope, Jesse G. Beu, Urmish Thakker, Matthew Mattina
2018 — conf
A Case for Scoped Persist Barriers in GPUs.
GPGPU@PPoPP
Dibakar Gope, Arkaprava Basu, Sooraj Puthoor, Mitesh Meswani
2017 A* conf
Architectural Support for Server-Side PHP Processing.
ISCA
Dibakar Gope, David J. Schlais, Mikko H. Lipasti
2017 J jnl
The CURE: Cluster Communication Using Registers.
ACM Trans. Embed. Comput. Syst.
Vignyan Reddy Kothinti Naresh, Dibakar Gope, Mikko H. Lipasti
2016 B conf
Hash Map Inlining.
PACT
Dibakar Gope, Mikko H. Lipasti
2014 A* conf
Atomic SC for simple in-order processors.
HPCA
Dibakar Gope, Mikko H. Lipasti
2014 A* conf
Bias-Free Branch Predictor.
MICRO
Dibakar Gope, Mikko H. Lipasti
2012 C conf
Maximizing crosstalk-induced slowdown during path delay test.
ICCD
Dibakar Gope, D. M. H. Walker