Ganesh Venkatesh

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 24

Top Venues

CoRR

ICASSP

FPT

ASP-DAC

University of California, San Diego, USA (PHD)

Education History

University of California, San Diego, USA

PHD

Publications

Zhaoshuo Li, Wei Ye, Dilin Wang, Francis X. Creighton, Russell H. Taylor, Ganesh Venkatesh, Mathias Unberath
Temporally Consistent Online Depth Estimation in Dynamic Scenes. WACV (2023)
Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra
Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet. ICASSP (2022)
Varun Nagaraja, Yangyang Shi, Ganesh Venkatesh, Ozlem Kalinli, Michael L. Seltzer, Vikas Chandra
Collaborative Training of Acoustic Encoders for Speech Recognition. CoRR (2021)
Varun Nagaraja, Yangyang Shi, Ganesh Venkatesh, Ozlem Kalinli, Michael L. Seltzer, Vikas Chandra
Collaborative Training of Acoustic Encoders for Speech Recognition. Interspeech (2021)
Ganesh Venkatesh, Alagappan Valliappan, Jay Mahadeokar, Yuan Shangguan, Christian Fuegen, Michael L. Seltzer, Vikas Chandra
Memory-efficient Speech Recognition on Smart Devices. CoRR (2021)
Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra
Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR via Supernet. CoRR (2021)
Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak
Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation. CVPR (2021)
Hyojin Park, Jayeon Yoo, Ganesh Venkatesh, Nojun Kwak
Adaptive Template and Transition Map for Real-Time Video Object Segmentation. IEEE Access 9 (2021)
Dilin Wang, Yuan Shangguan, Haichuan Yang, Pierce Chuang, Jiatong Zhou, Meng Li, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra
Noisy Training Improves E2E ASR for the Edge. CoRR (2021)
David Eriksson, Pierce I-Jen Chuang, Samuel Daulton, Peng Xia, Akshat Shrivastava, Arun Babu, Shicong Zhao, Ahmed Aly, Ganesh Venkatesh, Maximilian Balandat
Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization. CoRR (2021)
Ganesh Venkatesh, Alagappan Valliappan, Jay Mahadeokar, Yuan Shangguan, Christian Fuegen, Michael L. Seltzer, Vikas Chandra
Memory-Efficient Speech Recognition on Smart Devices. ICASSP (2021)
Zhaoshuo Li, Wei Ye, Dilin Wang, Francis X. Creighton, Russell H. Taylor, Ganesh Venkatesh, Mathias Unberath
Temporally Consistent Online Depth Estimation in Dynamic Scenes. CoRR (2021)
Asit K. Mishra, Jorge Albericio Latorre, Jeff Pool, Darko Stosic, Dusan Stosic, Ganesh Venkatesh, Chong Yu, Paulius Micikevicius
Accelerating Sparse Deep Neural Networks. CoRR (2021)
Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation. CoRR (2020)
Yutong Bai, Haoqi Fan, Ishan Misra, Ganesh Venkatesh, Yongyi Lu, Yuyin Zhou, Qihang Yu, Vikas Chandra, Alan L. Yuille
Can Temporal Information Help with Contrastive Self-Supervised Learning? CoRR (2020)
Hyojin Park, Ganesh Venkatesh, Nojun Kwak
TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss. CoRR (2020)
Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu
Mixed Precision Training. ICLR (Poster) (2018)
Asit K. Mishra, Eriko Nurvitadhi, Ganesh Venkatesh, Jonathan Pearce, Debbie Marr
Fine-grained accelerators for sparse machine learning workloads. ASP-DAC (2017)
Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu
Mixed Precision Training. CoRR (2017)
Ganesh Venkatesh, Eriko Nurvitadhi, Debbie Marr
Accelerating Deep Convolutional Networks using low-precision and sparsity. ICASSP (2017)
Eriko Nurvitadhi, Ganesh Venkatesh, Jaewoong Sim, Debbie Marr, Randy Huang, Jason Ong Gee Hock, Yeong Tat Liew, Krishnan Srivatsan, Duncan J. M. Moss, Suchit Subhaschandra, Guy Boudoukh
Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks? FPGA (2017)
Eriko Nurvitadhi, David Sheffield, Jaewoong Sim, Asit K. Mishra, Ganesh Venkatesh, Debbie Marr
Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC. FPT (2016)
Ganesh Venkatesh, Eriko Nurvitadhi, Debbie Marr
Accelerating Deep Convolutional Networks using low-precision and sparsity. CoRR (2016)
Eriko Nurvitadhi, Asit K. Mishra, Yu Wang, Ganesh Venkatesh, Debbie Marr
Hardware accelerator for analytics of sparse data. DATE (2016)
Ganesh Venkatesh
APE: accelerator processor extensions to optimize data-compute co-location. MSPC@PLDI (2013)
Nicholas P. Carter, Aditya Agrawal, Shekhar Borkar, Romain Cledat, Howard David, Dave Dunning, Joshua B. Fryman, Ivan Ganev, Roger A. Golliver, Rob C. Knauerhase, Richard Lethin, Benoît Meister, Asit K. Mishra, Wilfred R. Pinfold, Justin Teller, Josep Torrellas, Nicolas Vasilache, Ganesh Venkatesh, Jianping Xu
Runnemede: An architecture for Ubiquitous High-Performance Computing. HPCA (2013)
Ganesh Venkatesh, Jack Sampson, Nathan Goulding-Hotta, Sravanthi Kota Venkata, Michael Bedford Taylor, Steven Swanson
QsCores: trading dark silicon for scalable energy efficiency with quasi-specific cores. MICRO (2011)
Nathan Goulding-Hotta, Jack Sampson, Ganesh Venkatesh, Saturnino Garcia, Joe Auricchio, Po-Chao Huang, Manish Arora, Siddhartha Nath, Vikram Bhatt, Jonathan Babb, Steven Swanson, Michael B. Taylor
The GreenDroid Mobile Application Processor: An Architecture for Silicon's Dark Future. IEEE Micro 31 (2) (2011)
Jack Sampson, Ganesh Venkatesh, Nathan Goulding-Hotta, Saturnino Garcia, Steven Swanson, Michael Bedford Taylor
Efficient complex operators for irregular codes. HPCA (2011)
Jack Sampson, Manish Arora, Nathan Goulding-Hotta, Ganesh Venkatesh, Jonathan Babb, Vikram Bhatt, Steven Swanson, Michael Bedford Taylor
An Evaluation of Selective Depipelining for FPGA-Based Energy-Reducing Irregular Code Coprocessors. FPL (2011)
Manish Arora, Jack Sampson, Nathan Goulding-Hotta, Jonathan Babb, Ganesh Venkatesh, Michael Bedford Taylor, Steven Swanson
Reducing the Energy Cost of Irregular Code Bases in Soft Processor Systems. FCCM (2011)
Nathan Goulding, Jack Sampson, Ganesh Venkatesh, Saturnino Garcia, Joe Auricchio, Jonathan Babb, Michael B. Taylor, Steven Swanson
GreenDroid: A mobile application processor for a future of dark silicon. Hot Chips Symposium (2010)
Ganesh Venkatesh, Jack Sampson, Nathan Goulding, Saturnino Garcia, Vladyslav Bryksin, Jose Lugo-Martinez, Steven Swanson, Michael Bedford Taylor
Conservation cores: reducing the energy of mature computations. ASPLOS (2010)
Weihaw Chuang, Satish Narayanasamy, Ganesh Venkatesh, Jack Sampson, Michael Van Biesbrouck, Gilles Pokam, Brad Calder, Osvaldo Colavin
Unbounded page-based transactional memory. ASPLOS (2006)
Bengu Li, Ganesh Venkatesh, Brad Calder, Rajiv Gupta
Exploiting a Computation Reuse Cache to Reduce Energy in Network Processors. HiPEAC (2005)

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Publication Activity (10 Years)

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Ganesh Venkatesh