Exploiting a Computation Reuse Cache to Reduce Energy in Network Processors. - Bengu Li; Ganesh Venkatesh; Brad Calder; Rajiv Gupta 001 (HiPEAC, 2005)

Unbounded page-based transactional memory. - Weihaw Chuang; Satish Narayanasamy; Ganesh Venkatesh; Jack Sampson; Michael Van Biesbrouck; Gilles Pokam; Brad Calder; Osvaldo Colavin (ASPLOS, 2006)

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 (ASPLOS, 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 (Hot Chips Symposium, 2010)

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 (FCCM, 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 (FPL, 2011)

Efficient complex operators for irregular codes. - Jack Sampson; Ganesh Venkatesh; Nathan Goulding-Hotta; Saturnino Garcia; Steven Swanson; Michael Bedford Taylor (HPCA, 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 (MICRO, 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)

Configurable energy-efficient co-processors to scale the utilization wall. - Ganesh Venkatesh (2011)

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; et al. (HPCA, 2013)

APE: accelerator processor extensions to optimize data-compute co-location. - Ganesh Venkatesh (MSPC@PLDI, 2013)

Hardware accelerator for analytics of sparse data. - Eriko Nurvitadhi; Asit K. Mishra; Yu Wang 110; Ganesh Venkatesh; Debbie Marr (DATE, 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 (FPT, 2016)

Fine-grained accelerators for sparse machine learning workloads. - Asit K. Mishra; Eriko Nurvitadhi; Ganesh Venkatesh; Jonathan Pearce; Debbie Marr (ASP-DAC, 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 (FPGA, 2017)

Accelerating Deep Convolutional Networks using low-precision and sparsity. - Ganesh Venkatesh; Eriko Nurvitadhi; Debbie Marr (ICASSP, 2017)

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 (ICLR (Poster), 2018)

TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss. - Hyojin Park 001; Ganesh Venkatesh; Nojun Kwak (CoRR, 2020)

Can Temporal Information Help with Contrastive Self-Supervised Learning? - Yutong Bai; Haoqi Fan 001; Ishan Misra; Ganesh Venkatesh; Yongyi Lu; Yuyin Zhou; Qihang Yu; Vikas Chandra; Alan L. Yuille (CoRR, 2020)

Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation. - Hyojin Park 001; Jayeon Yoo; Seohyeong Jeong; Ganesh Venkatesh; Nojun Kwak (CVPR, 2021)

Memory-Efficient Speech Recognition on Smart Devices. - Ganesh Venkatesh; Alagappan Valliappan; Jay Mahadeokar; Yuan Shangguan; Christian Fuegen; Michael L. Seltzer; Vikas Chandra (ICASSP, 2021)

Collaborative Training of Acoustic Encoders for Speech Recognition. - Varun Nagaraja; Yangyang Shi; Ganesh Venkatesh; Ozlem Kalinli; Michael L. Seltzer; Vikas Chandra (Interspeech, 2021)

Adaptive Template and Transition Map for Real-Time Video Object Segmentation. - Hyojin Park 001; Jayeon Yoo; Ganesh Venkatesh; Nojun Kwak (IEEE Access, 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)

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)

Noisy Training Improves E2E ASR for the Edge. - Dilin Wang; Yuan Shangguan; Haichuan Yang; Pierce Chuang; Jiatong Zhou; Meng Li 004; Ganesh Venkatesh; Ozlem Kalinli; Vikas Chandra (CoRR, 2021)

Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet. - Haichuan Yang; Yuan Shangguan; Dilin Wang; Meng Li 004; Pierce Chuang; Xiaohui Zhang 007; Ganesh Venkatesh; Ozlem Kalinli; Vikas Chandra (ICASSP, 2022)

Temporally Consistent Online Depth Estimation in Dynamic Scenes. - Zhaoshuo Li; Wei Ye; Dilin Wang; Francis X. Creighton; Russell H. Taylor; Ganesh Venkatesh; Mathias Unberath (WACV, 2023)

Self-Data Distillation for Recovering Quality in Pruned Large Language Models. - Vithursan Thangarasa; Ganesh Venkatesh; Nish Sinnadurai; Sean Lie (CoRR, 2024)

Looking Beyond Language Priors: Enhancing Visual Comprehension and Attention in Multimodal Models. - Aarti Ghatkesar; Uddeshya Upadhyay; Ganesh Venkatesh (CoRR, 2025)

Read Quietly, Think Aloud: Decoupling Comprehension and Reasoning in LLMs. - Yuanxin Wang; Ganesh Venkatesh (CoRR, 2025)