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Meena Arunachalam
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2020 – today
- 2024
- [c9]Pingyi Huo, Anusha Devulapally, Hasan Al Maruf, Minseo Park, Krishnakumar Nair, Meena Arunachalam, Gulsum Gudukbay Akbulut, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan:
PIFS-Rec: Process-In-Fabric-Switch for Large-Scale Recommendation System Inferences. MICRO 2024: 612-626 - [i3]Fahim Mohammad, Lakshmi Arunachalam, Samanway Sadhu, Boudewijn Aasman, Shweta Garg, Adil Ahmed, Silvie Colman, Meena Arunachalam, Sudhir Kulkarni, Parsa Mirhaji:
Early prediction of onset of sepsis in Clinical Setting. CoRR abs/2402.03486 (2024) - [i2]Pingyi Huo, Anusha Devulapally, Hasan Al Maruf, Minseo Park, Krishnakumar Nair, Meena Arunachalam, Gulsum Gudukbay Akbulut, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan:
PIFS-Rec: Process-In-Fabric-Switch for Large-Scale Recommendation System Inferences. CoRR abs/2409.16633 (2024) - 2023
- [c8]Jun-Liang Lin, Ranganath Krishnan, Keyur Ruganathbhai Ranipa, Mahesh Subedar, Vrushabh Sanghavi, Meena Arunachalam, Omesh Tickoo, Ravishankar Iyer, Mahmut Taylan Kandemir:
Quantization for Bayesian Deep Learning: Low-Precision Characterization and Robustness. IISWC 2023: 180-192 - [c7]Rishabh Jain, Scott Cheng, Vishwas Kalagi, Vrushabh Sanghavi, Samvit Kaul, Meena Arunachalam, Kiwan Maeng, Adwait Jog, Anand Sivasubramaniam, Mahmut Taylan Kandemir, Chita R. Das:
Optimizing CPU Performance for Recommendation Systems At-Scale. ISCA 2023: 77:1-77:15 - 2022
- [j2]Meena Arunachalam, Vrushabh Sanghavi, Samudyatha Kaira, Nilesh A. Ahuja:
End-to-End Industrial IoT: Software Optimization and Acceleration. IEEE Internet Things Mag. 5(1): 48-53 (2022) - [i1]Meena Arunachalam, Vrushabh Sanghavi, Yi A. Yao, Yi A Zhou, Lifeng A. Wang, Zongru Wen, Niroop Ammbashankar, Ning W. Wang, Fahim Mohammad:
Strategies for Optimizing End-to-End Artificial Intelligence Pipelines on Intel Xeon Processors. CoRR abs/2211.00286 (2022)
2010 – 2019
- 2019
- [j1]Mohamed Gadou, Tania Banerjee, Meena Arunachalam, Sanjay Ranka:
Multiobjective evaluation and optimization of CMT-bone on multiple CPU/GPU systems. Sustain. Comput. Informatics Syst. 22: 259-271 (2019) - [c6]Jihyun Ryoo, Mengran Fan, Xulong Tang, Huaipan Jiang, Meena Arunachalam, Sharada Naveen, Mahmut T. Kandemir:
Architecture-Centric Bottleneck Analysis for Deep Neural Network Applications. HiPC 2019: 205-214 - 2018
- [c5]Mohamed Gadou, Tania Banerjee, Meena Arunachalam, Galen M. Shipman, Sanjay Ranka:
Multiobjective Evaluation and Optimization of CMT-bone on Intel Knights Landing. IGSC 2018: 1-6 - [c4]Jihyun Ryoo, Meena Arunachalam, Rahul Khanna, Mahmut T. Kandemir:
Efficient K nearest neighbor algorithm implementations for throughput-oriented architectures. ISQED 2018: 144-150 - [c3]Huaipan Jiang, Anup Sarma, Jihyun Ryoo, Jagadish B. Kotra, Meena Arunachalam, Chita R. Das, Mahmut T. Kandemir:
A Learning-Guided Hierarchical Approach for Biomedical Image Segmentation. SoCC 2018: 227-232 - 2015
- [c2]Mingfei Ma, Jinlong Hou, Jason Ye, Meena Arunachalam, Rafael Gutierrez:
Optimizing Non-contiguous Memory Access on Intel Xeon Phi Coprocessors. HPCC/CSS/ICESS 2015: 1615-1620 - [c1]Diana R. Guttman, Mahmut Taylan Kandemir, Meena Arunachalam, Rahul Khanna:
Machine learning techniques for improved data prefetching. ICEAC 2015: 1-4
Coauthor Index
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last updated on 2024-12-11 21:41 CET by the dblp team
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