Ganesh Venkatesh

According to our database, Ganesh Venkatesh authored at least 30 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Self-Data Distillation for Recovering Quality in Pruned Large Language Models.

Vithursan Thangarasa, Ganesh Venkatesh, Nish Sinnadurai, Sean Lie

CoRR, 2024

2023

Temporally Consistent Online Depth Estimation in Dynamic Scenes.

Zhaoshuo Li, Wei Ye, Dilin Wang, Francis X. Creighton, Russell H. Taylor, Ganesh Venkatesh, Mathias Unberath

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

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

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Noisy Training Improves E2E ASR for the Edge.

Dilin Wang, Yuan Shangguan, Haichuan Yang, Pierce Chuang, Jiatong Zhou, Meng Li, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra

CoRR, 2021

Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization.

David Eriksson, Pierce I-Jen Chuang, Samuel Daulton, Peng Xia, Akshat Shrivastava, Arun Babu, Shicong Zhao, Ahmed Aly, Ganesh Venkatesh, Maximilian Balandat

CoRR, 2021

Accelerating Sparse Deep Neural Networks.

Asit K. Mishra, Jorge Albericio Latorre, Jeff Pool, Darko Stosic, Dusan Stosic, Ganesh Venkatesh, Chong Yu, Paulius Micikevicius

CoRR, 2021

Adaptive Template and Transition Map for Real-Time Video Object Segmentation.

Hyojin Park, Jayeon Yoo, Ganesh Venkatesh, Nojun Kwak

IEEE Access, 2021

Collaborative Training of Acoustic Encoders for Speech Recognition.

Varun Nagaraja, Yangyang Shi, Ganesh Venkatesh, Ozlem Kalinli, Michael L. Seltzer, Vikas Chandra

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Memory-Efficient Speech Recognition on Smart Devices.

Ganesh Venkatesh, Alagappan Valliappan, Jay Mahadeokar, Yuan Shangguan, Christian Fuegen, Michael L. Seltzer, Vikas Chandra

Proceedings of the IEEE International Conference on Acoustics, 2021

Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation.

Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Can Temporal Information Help with Contrastive Self-Supervised Learning?

Yutong Bai, Haoqi Fan, Ishan Misra, Ganesh Venkatesh, Yongyi Lu, Yuyin Zhou, Qihang Yu, Vikas Chandra, Alan L. Yuille

CoRR, 2020

TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss.

Hyojin Park, Ganesh Venkatesh, Nojun Kwak

CoRR, 2020

2018

Mixed Precision Training.

Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Accelerating Deep Convolutional Networks using low-precision and sparsity.

Ganesh Venkatesh, Eriko Nurvitadhi, Debbie Marr

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

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

Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2017

Fine-grained accelerators for sparse machine learning workloads.

Asit K. Mishra, Eriko Nurvitadhi, Ganesh Venkatesh, Jonathan Pearce, Debbie Marr

Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

2016

Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC.

Eriko Nurvitadhi, David Sheffield, Jaewoong Sim, Asit K. Mishra, Ganesh Venkatesh, Debbie Marr

Proceedings of the 2016 International Conference on Field-Programmable Technology, 2016

Hardware accelerator for analytics of sparse data.

Eriko Nurvitadhi, Asit K. Mishra, Yu Wang, Ganesh Venkatesh, Debbie Marr

Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

2013

APE: accelerator processor extensions to optimize data-compute co-location.

Ganesh Venkatesh

Proceedings of the ACM SIGPLAN Workshop on Memory Systems Performance and Correctness, 2013

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, Benoît Meister, Asit K. Mishra, Wilfred R. Pinfold, Justin Teller, Josep Torrellas, Nicolas Vasilache, Ganesh Venkatesh, Jianping Xu

Proceedings of the 19th IEEE International Symposium on High Performance Computer Architecture, 2013

2011

Configurable energy-efficient co-processors to scale the utilization wall.

Ganesh Venkatesh

PhD thesis, 2011

The GreenDroid Mobile Application Processor: An Architecture for Silicon's Dark Future.

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

IEEE Micro, 2011

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

Proceedings of the 44rd Annual IEEE/ACM International Symposium on Microarchitecture, 2011

Efficient complex operators for irregular codes.

Jack Sampson, Ganesh Venkatesh, Nathan Goulding-Hotta, Saturnino Garcia, Steven Swanson, Michael Bedford Taylor

Proceedings of the 17th International Conference on High-Performance Computer Architecture (HPCA-17 2011), 2011

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

Proceedings of the International Conference on Field Programmable Logic and Applications, 2011

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

Proceedings of the IEEE 19th Annual International Symposium on Field-Programmable Custom Computing Machines, 2011

2010

GreenDroid: A mobile application processor for a future of dark silicon.

Nathan Goulding, Jack Sampson, Ganesh Venkatesh, Saturnino Garcia, Joe Auricchio, Jonathan Babb, Michael B. Taylor, Steven Swanson

Proceedings of the 2010 IEEE Hot Chips 22 Symposium, Stanford, CA, USA, August 22-24, 2010, 2010

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

Proceedings of the 15th International Conference on Architectural Support for Programming Languages and Operating Systems, 2010

2006

Unbounded page-based transactional memory.

Weihaw Chuang, Satish Narayanasamy, Ganesh Venkatesh, Jack Sampson, Michael Van Biesbrouck, Gilles Pokam, Brad Calder, Osvaldo Colavin

Proceedings of the 12th International Conference on Architectural Support for Programming Languages and Operating Systems, 2006

2005

Exploiting a Computation Reuse Cache to Reduce Energy in Network Processors.

Bengu Li, Ganesh Venkatesh, Brad Calder, Rajiv Gupta

Proceedings of the High Performance Embedded Architectures and Compilers, 2005