Ganesh Dasika

22 papers A 1Misc 1Journal 13Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Eliminating Multi-GPU Performance Taxes: A Systems Approach to Efficient Distributed LLMs.
CoRR
Octavian Alexandru Trifan, Karthik Sangaiah, Muhammad Awad, Muhammad Osama, Sumanth Gudaparthi, Alexandru Nicolau, Alexander V. Veidenbaum, Ganesh Dasika
2025 J jnl
Optimizing Attention on GPUs by Exploiting GPU Architectural NUMA Effects.
CoRR
Mansi Choudhary, Karthik Sangaiah, Sonali Singh, Muhammad Osama, Lisa Wu Wills, Ganesh Dasika
2025 J jnl
SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization.
CoRR
Arya Tschand, Muhammad A. Awad, Ryan Swann, Kesavan Ramakrishnan, Jeffrey Jian Ma, Keith Lowery, Ganesh Dasika, Vijay Janapa Reddi
2025 J jnl
tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection.
CoRR
Ryan Swann, Muhammad Osama, Xiaohu Guo, Bryant Nelson, Lixun Zhang, Alex Brown, Yen Ong, Ali Yazdani, Sean Siddens, Ganesh Dasika, Alex Underwood
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
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
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
Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs.
EMC2@HPCA/CVPR/ISCA
Partha Maji, Andrew Mundy, Ganesh Dasika, Jesse G. Beu, Matthew Mattina, Robert Mullins
2019 J jnl
Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs.
CoRR
Partha Maji, Andrew Mundy, Ganesh Dasika, Jesse G. Beu, Matthew Mattina, Robert Mullins
2019 J jnl
Measuring scheduling efficiency of RNNs for NLP applications.
CoRR
Urmish Thakker, Ganesh Dasika, Jesse G. Beu, 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
Skipping RNN State Updates without Retraining the Original Model.
SenSys-ML
Jin Tao, Urmish Thakker, Ganesh Dasika, Jesse G. Beu
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
2018 J jnl
Guest Editors' Introduction: Frontiers of Hardware and Algorithms for On-chip Learning.
ACM J. Emerg. Technol. Comput. Syst.
Yu Cao, Xin Li, Jae-sun Seo, Ganesh Dasika
2017 — conf
BONSEYES: Platform for Open Development of Systems of Artificial Intelligence: Invited paper.
Conf. Computing Frontiers
Tim Llewellynn, Maria del Milagro Fernández-Carrobles, Oscar Déniz, Samuel Fricker, Amos J. Storkey, Nuria Pazos, Gordana Velikic, Kirsten Leufgen, Rozenn Dahyot, Sebastian Koller, Georgios I. Goumas, Peter Leitner, Ganesh Dasika, Lei Wang, Kurt Tutschku
2016 Misc conf
Predicting room occupancy with a single passive infrared (PIR) sensor through behavior extraction.
UbiComp
Yordan P. Raykov, Emre Ozer, Ganesh Dasika, Alexis Boukouvalas, Max A. Little
2016 A conf
Throughput-Optimized OpenCL-based FPGA Accelerator for Large-Scale Convolutional Neural Networks.
FPGA
Naveen Suda, Vikas Chandra, Ganesh Dasika, Abinash Mohanty, Yufei Ma, Sarma B. K. Vrudhula, Jae-sun Seo, Yu Cao