Chakraborttii, Chandranil Nil
11  Ergebnisse:
Personensuche X
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1

Enabling Multi-tenancy on SSDs with Accurate IO Interferenc..:

, In: Proceedings of the 2023 ACM Symposium on Cloud Computing,
 
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2

Towards Generating Surprising Content in 2D Platform Games:

, In: Proceedings of the 19th International Conference on the Foundations of Digital Games,
 
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3

Towards data generation to alleviate privacy concerns for c..:

, In: 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC),
Ganji, Dhiraj ; Chakraborttii, Chandranil - p. 1447-1452 , 2023
 
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4

Leveraging Temporality of Data to Improve Failure Predictio..:

, In: 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC),
Chakraborttii, Chandranil ; Boettner, Jonas - p. 1272-1278 , 2023
 
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6

A Deep-Learning Approach to Marble-Burying Quantification: ..:

, In: 2023 IEEE/SICE International Symposium on System Integration (SII),
 
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7

Learning I/O Access Patterns to Improve Prefetching in SSDs:

, In: Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track; Lecture Notes in Computer Science,
Chakraborttii, Chandranil ; Litz, Heiner - p. 427-443 , 2021
 
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8

Reducing write amplification in flash by death-time predict..:

, In: Proceedings of the 14th ACM International Conference on Systems and Storage,
 
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9

Improving the accuracy, adaptability, and interpretability ..:

, In: Proceedings of the 11th ACM Symposium on Cloud Computing,
Chakraborttii, Chandranil ; Litz, Heiner - p. 120-133 , 2020
 
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10

SSD QoS Improvements through Machine Learning:

, In: Proceedings of the ACM Symposium on Cloud Computing,
 
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11

Towards generative emotions in games based on cognitive mod..:

, In: Proceedings of the 12th International Conference on the Foundations of Digital Games,
 
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