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Gandhi, Anshul
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1

GAMMA: Graph Neural Network-Based Multi-Bottleneck Localiza..:

, In: Proceedings of the ACM on Web Conference 2024,
Somashekar, Gagan ; Dutt, Anurag ; Adak, Mainak.. - p. 3085-3095 , 2024
Link: https://dl.acm.org/doi/1..
 
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2

BBR vs. BBRv2: A Performance Evaluation:

, In: 2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS),
Drucker, Rebecca ; Baraskar, Gauri ; Balasubramanian, Aruna. - p. 379-387 , 2024
Link: https://doi.org/10.1109/..
 
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3

Empirical Evaluation of ML Models for Per-Job Power Predict..:

, In: Companion of the 15th ACM/SPEC International Conference on Performance Engineering,
Halder, Debajyoti ; Acharya, Manas ; Malsane, Aniket.. - p. 181-188 , 2024
Link: https://dl.acm.org/doi/1..
 
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4

Big Mart Sales Prediction Using Machine Learning:

, In: Artificial Intelligence: Theory and Applications; Lecture Notes in Networks and Systems,
Kumar, Vimal ; Garg, Hardik ; Gandhi, Anshul. - p. 431-443 , 2024
Link: https://doi.org/10.1007/..
 
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5

Verifiable Sustainability in Data Centers:

Hussain, Syed Rafiul ; McDaniel, Patrick ; Gandhi, Anshul...
IEEE Security & Privacy.  , 2024
Link: https://doi.org/10.1109/..
 
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6

Accelerating multi-tier storage cache simulations using kne..:

Estro, Tyler ; Antunes, Mário ; Bhandari, Pranav...
Performance Evaluation.  164 (2024)  - p. 102410 , 2024
Link: https://doi.org/10.1016/..
 
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7

Design and Evaluation of Demand- and Topology Reconfigurati..:

Zerwas, Johannes Peter Donato , 2023
Link: http://nbn-resolving.de/..
 
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8

Guiding Simulations of Multi-Tier Storage Caches Using Knee..:

, In: 2023 31st International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS),
Estro, Tyler ; Antunes, Mario ; Bhandari, Pranav... - p. 1-8 , 2023
Link: https://doi.org/10.1109/..
 
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9

Persistent Memory Research in the Post-Optane Era:

, In: Proceedings of the 1st Workshop on Disruptive Memory Systems,
Desnoyers, Peter ; Adams, Ian ; Estro, Tyler... - p. 23-30 , 2023
Link: https://dl.acm.org/doi/1..
 
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10

Evaluating the energy impact of device parameters for DNN i..:

, In: Proceedings of the 14th International Green and Sustainable Computing Conference,
Dutt, Anurag ; Rachuri, Sri Pramodh ; Lobo, Ashley... - p. 52-55 , 2023
Link: https://dl.acm.org/doi/1..
 
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11

Efficient and accurate Lyapunov function-based truncation t..:

Somashekar, Gagan ; Delasay, Mohammad ; Gandhi, Anshul
Performance Evaluation.  162 (2023)  - p. 102356 , 2023
Link: https://doi.org/10.1016/..
 
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12

User-Centric Interference-Aware Load Balancing for Cloud-De..:

Javadi, Seyyed Ahmad ; Gandhi, Anshul
IEEE Transactions on Cloud Computing.  10 (2022)  1 - p. 736-748 , 2022
Link: https://doi.org/10.1109/..
 
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13

Optimizing Near-Data Processing for Spark:

, In: 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS),
Rachuri, Sri Pramodh ; Gantasala, Arun ; Emanuel, Prajeeth... - p. 636-646 , 2022
Link: https://doi.org/10.1109/..
 
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14

Truncating Multi-Dimensional Markov Chains With Accuracy Gu..:

, In: 2022 30th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS),
Somashekar, Gagan ; Delasay, Mohammad ; Gandhi, Anshul - p. 121-128 , 2022
Link: https://doi.org/10.1109/..
 
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15

Are mobiles ready for BBR?:

, In: Proceedings of the 22nd ACM Internet Measurement Conference,
Vargas, Santiago ; Gunapati, Gautham ; Gandhi, Anshul. - p. 551-559 , 2022
Link: https://dl.acm.org/doi/1..
 
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