Aguilera, Marcos K
482  Ergebnisse:
Personensuche X
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1

Limited Access: The Truth Behind Far Memory:

, In: Proceedings of the 4th Workshop on Resource Disaggregation and Serverless,
Yelam, Anil ; Grant, Stewart ; Liu, Enze... - p. 37-43 , 2023
 
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3

Memory disaggregation: why now and what are the challenges:

Aguilera, Marcos K. ; Amaro, Emmanuel ; Amit, Nadav...
ACM SIGOPS Operating Systems Review.  57 (2023)  1 - p. 38-46 , 2023
 
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4

uBFT: Microsecond-Scale BFT using Disaggregated Memory:

, In: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2,
 
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5

Logical Memory Pools : Flexible and Local Disaggregated ..:

, In: Proceedings of the 22nd ACM Workshop on Hot Topics in Networks,
 
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6

Unleashing True Utility Computing with Quicksand:

, In: Proceedings of the 19th Workshop on Hot Topics in Operating Systems,
Ruan, Zhenyuan ; Li, Shihang ; Fan, Kaiyan... - p. 196-205 , 2023
 
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7

DINOMO: An Elastic, Scalable, High-Performance Key-Value St..:

Lee, Sekwon ; Ponnapalli, Soujanya ; Singhal, Sharad...
Proceedings of the VLDB Endowment.  15 (2022)  13 - p. 4023-4037 , 2022
 
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8

2021 Principles of Distributed Computing Doctoral Dissertat..:

, In: Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing,
 
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10

Can far memory improve job throughput?:

, In: Proceedings of the Fifteenth European Conference on Computer Systems,
 
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11

Hillview : a trillion-cell spreadsheet for big data:

Budiu, Mihai ; Gopalan, Parikshit ; Suresh, Lalith...
Proceedings of the VLDB Endowment.  12 (2019)  11 - p. 1442-1457 , 2019
 
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12

Designing Far Memory Data Structures : Think Outside the..:

, In: Proceedings of the Workshop on Hot Topics in Operating Systems,
 
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13

Hillview: a trillion-cell spreadsheet for big data:

Budiu, Mihai ; Gopalan, Parikshit ; Suresh, Lalith...
Proceedings of the VLDB Endowment.  12 (2019)  11 - p. 1442-1457 , 2019
 
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14

The Impact of RDMA on Agreement:

, In: Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing,
 
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