Ganesh Venkatesh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
14
Active years
2006–2023
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | WACV | Temporally Consistent Online Depth Estimation in Dynamic Scenes. | Zhaoshuo Li, Wei Ye, Dilin Wang, Francis X. Creighton, Russell H. Taylor, Ganesh Venkatesh, Mathias Unberath |
| 2022 | ICASSP | Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet. | Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra |
| 2021 | CVPR | Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation. | Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak |
| 2021 | ICASSP | Memory-Efficient Speech Recognition on Smart Devices. | Ganesh Venkatesh, Alagappan Valliappan, Jay Mahadeokar, Yuan Shangguan, Christian Fuegen, Michael L. Seltzer, Vikas Chandra |
| 2021 | Interspeech | Collaborative Training of Acoustic Encoders for Speech Recognition. | Varun Nagaraja, Yangyang Shi, Ganesh Venkatesh, Ozlem Kalinli, Michael L. Seltzer, Vikas Chandra |
| 2018 | ICLR | Mixed Precision Training. | Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David Garca, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu |
| 2017 | ASPDAC | Fine-grained accelerators for sparse machine learning workloads. | Asit K. Mishra, Eriko Nurvitadhi, Ganesh Venkatesh, Jonathan Pearce, Debbie Marr |
| 2017 | FPGA | Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks? | 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 |
| 2017 | ICASSP | Accelerating Deep Convolutional Networks using low-precision and sparsity. | Ganesh Venkatesh, Eriko Nurvitadhi, Debbie Marr |
| 2016 | DATE | Hardware accelerator for analytics of sparse data. | Eriko Nurvitadhi, Asit K. Mishra, Yu Wang, Ganesh Venkatesh, Debbie Marr |
| 2013 | HPCA | Runnemede: An architecture for Ubiquitous High-Performance Computing. | 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, Benot Meister, Asit K. Mishra, Wilfred R. Pinfold, Justin Teller, Josep Torrellas, Nicolas Vasilache, Ganesh Venkatesh, Jianping Xu |
| 2013 | PLDI | APE: accelerator processor extensions to optimize data-compute co-location. | Ganesh Venkatesh |
| 2011 | FCCM | Reducing the Energy Cost of Irregular Code Bases in Soft Processor Systems. | Manish Arora, Jack Sampson, Nathan Goulding-Hotta, Jonathan Babb, Ganesh Venkatesh, Michael Bedford Taylor, Steven Swanson |
| 2011 | FPL | An Evaluation of Selective Depipelining for FPGA-Based Energy-Reducing Irregular Code Coprocessors. | Jack Sampson, Manish Arora, Nathan Goulding-Hotta, Ganesh Venkatesh, Jonathan Babb, Vikram Bhatt, Steven Swanson, Michael Bedford Taylor |
| 2011 | HPCA | Efficient complex operators for irregular codes. | Jack Sampson, Ganesh Venkatesh, Nathan Goulding-Hotta, Saturnino Garcia, Steven Swanson, Michael Bedford Taylor |
| 2011 | MICRO | QsCores: trading dark silicon for scalable energy efficiency with quasi-specific cores. | Ganesh Venkatesh, Jack Sampson, Nathan Goulding-Hotta, Sravanthi Kota Venkata, Michael Bedford Taylor, Steven Swanson |
| 2010 | ASPLOS | Conservation cores: reducing the energy of mature computations. | Ganesh Venkatesh, Jack Sampson, Nathan Goulding, Saturnino Garcia, Vladyslav Bryksin, Jose Lugo-Martinez, Steven Swanson, Michael Bedford Taylor |
| 2006 | ASPLOS | Unbounded page-based transactional memory. | Weihaw Chuang, Satish Narayanasamy, Ganesh Venkatesh, Jack Sampson, Michael Van Biesbrouck, Gilles Pokam, Brad Calder, Osvaldo Colavin |