Optimizing Non-contiguous Memory Access on Intel Xeon Phi Coprocessors. - Mingfei Ma; Jinlong Hou; Jason Ye; Meena Arunachalam; Rafael Gutierrez (HPCC/CSS/ICESS, 2015)

Machine learning techniques for improved data prefetching. - Diana R. Guttman; Mahmut Taylan Kandemir; Meena Arunachalam; Rahul Khanna (ICEAC, 2015)

Multiobjective Evaluation and Optimization of CMT-bone on Intel Knights Landing. - Mohamed Gadou; Tania Banerjee; Meena Arunachalam; Galen M. Shipman; Sanjay Ranka (IGSC, 2018)

Efficient K nearest neighbor algorithm implementations for throughput-oriented architectures. - Jihyun Ryoo; Meena Arunachalam; Rahul Khanna; Mahmut T. Kandemir (ISQED, 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 (SoCC, 2018)

Architecture-Centric Bottleneck Analysis for Deep Neural Network Applications. - Jihyun Ryoo; Mengran Fan; Xulong Tang; Huaipan Jiang; Meena Arunachalam; Sharada Naveen; Mahmut T. Kandemir (HiPC, 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)

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)

End-to-End Industrial IoT: Software Optimization and Acceleration. - Meena Arunachalam; Vrushabh Sanghavi; Samudyatha Kaira; Nilesh A. Ahuja (IEEE Internet Things Mag., 2022)

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 001; Mahmut Taylan Kandemir (IISWC, 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 (ISCA, 2023)

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 (MICRO, 2024)

Early prediction of onset of sepsis in Clinical Setting. - Fahim Mohammad; Lakshmi Arunachalam; Samanway Sadhu; Boudewijn Aasman; Shweta Garg 005; Adil Ahmed; Silvie Colman; Meena Arunachalam; Sudhir Kulkarni; Parsa Mirhaji (CoRR, 2024)

Parallelization Strategies for DLRM Embedding Bag Operator on AMD CPUs. - Krishnakumar Nair; Avinash-Chandra Pandey; Siddappa Karabannavar; Meena Arunachalam; John Kalamatianos; Varun Agrawal; Saurabh Gupta 002; Ashish Sirasao; Elliott Delaye; Steven K. Reinhardt; Rajesh Vivekanandham; Ralph Wittig; et al. (IEEE Micro, 2024)

TPNM: A CXL Based General Purpose Tiered Process Near Memory Framework. - Pingyi Huo; Anusha Devulapally; Hasan Al Maruf; Meena Arunachalam; Mahmut Taylan Kandemir; Vijaykrishnan Narayanan (ISPASS, 2025)