Hashemi, Milad
14  Ergebnisse:
Personensuche X
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1

Limoncello: Prefetchers for Scale:

, In: Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3,
Jain, Akanksha ; Lin, Hannah ; Villavieja, Carlos... - p. 577-590 , 2024
 
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2

CUF: Continuous Upsampling Filters:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
 
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3

Two Sides of the Same Coin: Heterophily and Oversmoothing i..:

, In: 2022 IEEE International Conference on Data Mining (ICDM),
Yan, Yujun ; Hashemi, Milad ; Swersky, Kevin.. - p. 1287-1292 , 2022
 
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4

A hierarchical neural model of data prefetching:

, In: Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems,
Shi, Zhan ; Jain, Akanksha ; Swersky, Kevin... - p. 861-873 , 2021
 
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5

Accelerating dependent cache misses with an enhanced memory..:

, In: Proceedings of the 43rd International Symposium on Computer Architecture,
Hashemi, Milad ; Khubaib ; Ebrahimi, Eiman.. - p. 444-455 , 2016
 
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6

Continuous runahead : transparent hardware acceleration ..:

, In: The 49th Annual IEEE/ACM International Symposium on Microarchitecture,
 
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7

Filtered runahead execution with a runahead buffer:

, In: Proceedings of the 48th International Symposium on Microarchitecture,
Hashemi, Milad ; Patt, Yale N. - p. 358-369 , 2015
 
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8

MorphCore : An Energy-Efficient Microarchitecture for Hi..:

, In: Proceedings of the 2012 45th Annual IEEE/ACM International Symposium on Microarchitecture,
Khubaib ; Suleman, M. Aater ; Hashemi, Milad.. - p. 305-316 , 2012
 
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10

List of contributors:

, In: Cartilage Tissue and Knee Joint Biomechanics,
 
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11

A review of deciphering the successes and learning from the..:

, In: Environmental and Health Management of Novel Coronavirus Disease (COVID-19 ),
 
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12

Management of environmental health to prevent an outbreak o..:

, In: Environmental and Health Management of Novel Coronavirus Disease (COVID-19 ),
 
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13

Contributors:

, In: Environmental and Health Management of Novel Coronavirus Disease (COVID-19 ),
 
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14

CS-TGN: Community Search via Temporal Graph Neural Networks:

, In: Companion Proceedings of the ACM Web Conference 2023,
 
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