Meena Arunachalam

According to our database, Meena Arunachalam authored at least 13 papers between 2015 and 2024.

Collaborative distances:

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

2024

PIFS-Rec: Process-In-Fabric-Switch for Large-Scale Recommendation System Inferences.

Pingyi Huo, Anusha Devulapally, Hasan Al Maruf, Minseo Park, Krishnakumar Nair, Meena Arunachalam, Gulsum Gudukbay Akbulut, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan

CoRR, 2024

Early prediction of onset of sepsis in Clinical Setting.

Fahim Mohammad, Lakshmi Arunachalam, Samanway Sadhu, Boudewijn Aasman, Shweta Garg, Adil Ahmed, Silvie Colman, Meena Arunachalam, Sudhir Kulkarni, Parsa Mirhaji

CoRR, 2024

2023

Optimizing CPU Performance for Recommendation Systems At-Scale.

Rishabh Jain, Scott Cheng, Vishwas Kalagi, Vrushabh Sanghavi, Samvit Kaul, Meena Arunachalam, Kiwan Maeng, Adwait Jog, Anand Sivasubramaniam, Mahmut Taylan Kandemir, Chita R. Das

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

Quantization for Bayesian Deep Learning: Low-Precision Characterization and Robustness.

Jun-Liang Lin, Ranganath Krishnan, Keyur Ruganathbhai Ranipa, Mahesh Subedar, Vrushabh Sanghavi, Meena Arunachalam, Omesh Tickoo, Ravishankar Iyer, Mahmut Taylan Kandemir

Proceedings of the IEEE International Symposium on Workload Characterization, 2023

2022

End-to-End Industrial IoT: Software Optimization and Acceleration.

Meena Arunachalam, Vrushabh Sanghavi, Samudyatha Kaira, Nilesh A. Ahuja

IEEE Internet Things Mag., 2022

Strategies for Optimizing End-to-End Artificial Intelligence Pipelines on Intel Xeon Processors.

Meena Arunachalam, Vrushabh Sanghavi, Yi A. Yao, Yi A Zhou, Lifeng A. Wang, Zongru Wen, Niroop Ammbashankar, Ning W. Wang, Fahim Mohammad

CoRR, 2022

2019

Multiobjective evaluation and optimization of CMT-bone on multiple CPU/GPU systems.

Mohamed Gadou, Tania Banerjee, Meena Arunachalam, Sanjay Ranka

Sustain. Comput. Informatics Syst., 2019

Architecture-Centric Bottleneck Analysis for Deep Neural Network Applications.

Jihyun Ryoo, Mengran Fan, Xulong Tang, Huaipan Jiang, Meena Arunachalam, Sharada Naveen, Mahmut T. Kandemir

Proceedings of the 26th IEEE International Conference on High Performance Computing, 2019

2018

A Learning-Guided Hierarchical Approach for Biomedical Image Segmentation.

Huaipan Jiang, Anup Sarma, Jihyun Ryoo, Jagadish B. Kotra, Meena Arunachalam, Chita R. Das, Mahmut T. Kandemir

Proceedings of the 31st IEEE International System-on-Chip Conference, 2018

Efficient K nearest neighbor algorithm implementations for throughput-oriented architectures.

Jihyun Ryoo, Meena Arunachalam, Rahul Khanna, Mahmut T. Kandemir

Proceedings of the 19th International Symposium on Quality Electronic Design, 2018

Multiobjective Evaluation and Optimization of CMT-bone on Intel Knights Landing.

Mohamed Gadou, Tania Banerjee, Meena Arunachalam, Galen M. Shipman, Sanjay Ranka

Proceedings of the Ninth International Green and Sustainable Computing Conference, 2018

2015

Machine learning techniques for improved data prefetching.

Diana R. Guttman, Mahmut Taylan Kandemir, Meena Arunachalam, Rahul Khanna

Proceedings of the 5th International Conference on Energy Aware Computing Systems & Applications, 2015

Optimizing Non-contiguous Memory Access on Intel Xeon Phi Coprocessors.

Mingfei Ma, Jinlong Hou, Jason Ye, Meena Arunachalam, Rafael Gutierrez

Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015