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ORCIDNicholas Meisburger
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2020 – today
- 2023
[c4]Nicholas Meisburger, Vihan Lakshman
, Benito Geordie, Joshua Engels, David Torres Ramos, Pratik Pranav, Benjamin Coleman, Benjamin Meisburger, Shubh Gupta, Yashwanth Adunukota, Siddharth Jain, Tharun Medini, Anshumali Shrivastava:
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware. CIKM 2023: 4738-4744- [c3]Anshumali Shrivastava, Vihan Lakshman, Tharun Medini, Nicholas Meisburger, Joshua Engels, David Torres Ramos, Benito Geordie, Pratik Pranav, Shubh Gupta, Yashwanth Adunukota, Siddharth Jain:
From Research to Production: Towards Scalable and Sustainable Neural Recommendation Models on Commodity CPU Hardware. RecSys 2023: 1071-1074 - [i4]Nicholas Meisburger, Vihan Lakshman, Benito Geordie, Joshua Engels, David Torres Ramos, Pratik Pranav, Benjamin Coleman, Benjamin Meisburger, Shubh Gupta, Yashwanth Adunukota, Tharun Medini, Anshumali Shrivastava:
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Neural Networks on Commodity CPU Hardware. CoRR abs/2303.17727 (2023) - 2022
- [i3]Minghao Yan, Nicholas Meisburger, Tharun Medini, Anshumali Shrivastava:
Distributed SLIDE: Enabling Training Large Neural Networks on Low Bandwidth and Simple CPU-Clusters via Model Parallelism and Sparsity. CoRR abs/2201.12667 (2022) - 2021
- [c2]Shabnam Daghaghi, Tharun Medini, Nicholas Meisburger, Beidi Chen, Mengnan Zhao, Anshumali Shrivastava:
A Tale of Two Efficient and Informative Negative Sampling Distributions. ICML 2021: 2319-2329 - [c1]Shabnam Daghaghi, Nicholas Meisburger, Mengnan Zhao, Anshumali Shrivastava:
Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More. MLSys 2021 - [i2]Shabnam Daghaghi, Nicholas Meisburger, Mengnan Zhao, Yong Wu, Sameh Gobriel, Charlie Tai, Anshumali Shrivastava:
Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More. CoRR abs/2103.10891 (2021) - 2020
- [i1]Nicholas Meisburger, Anshumali Shrivastava:
Distributed Tera-Scale Similarity Search with MPI: Provably Efficient Similarity Search over billions without a Single Distance Computation. CoRR abs/2008.03260 (2020)
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