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Yoon, Doe Hyun
58  Ergebnisse:
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1

The Design Process for Google's Training Chips: TPUv2 and T..:

Norrie, Thomas ; Patil, Nishant ; Yoon, Doe Hyun...
IEEE Micro.  41 (2021)  2 - p. 56-63 , 2021
Link: https://doi.org/10.1109/..
 
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2

Ten lessons from three generations shaped Google's TPUv4i:

, In: Proceedings of the 48th Annual International Symposium on Computer Architecture,
Jouppi, Norman P. ; Yoon, Doe Hyun ; Ashcraft, Matthew... - p. 1-14 , 2021
Link: https://dl.acm.org/doi/1..
 
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3

A domain-specific supercomputer for training deep neural ne..:

Jouppi, Norman P. ; Yoon, Doe Hyun ; Kurian, George...
Communications of the ACM.  63 (2020)  7 - p. 67-78 , 2020
Link: https://dl.acm.org/doi/1..
 
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4

Google's Training Chips Revealed: TPUv2 and TPUv3:

, In: 2020 IEEE Hot Chips 32 Symposium (HCS),
Norrie, Thomas ; Patil, Nishant ; Yoon, Doe Hyun... - p. 1-70 , 2020
Link: https://doi.org/10.1109/..
 
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5

A domain-specific supercomputer for training deep neural ne..:

Jouppi, Norman P. ; Yoon, Doe Hyun ; Kurian, George...
Communications of the ACM.  63 (2020)  7 - p. 67-78 , 2020
Link: https://doi.org/10.1145/..
 
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6

In-Datacenter Performance Analysis of a Tensor Processing U..:

, In: Proceedings of the 44th Annual International Symposium on Computer Architecture,
Jouppi, Norman P. ; Young, Cliff ; Patil, Nishant... - p. 1-12 , 2017
Link: https://dl.acm.org/doi/1..
 
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7

Kiln : closing the performance gap between systems with ..:

, In: Proceedings of the 46th Annual IEEE/ACM International Symposium on Microarchitecture,
Zhao, Jishen ; Li, Sheng ; Yoon, Doe Hyun.. - p. 421-432 , 2013
Link: https://dl.acm.org/doi/1..
 
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8

Practical nonvolatile multilevel-cell phase change memory:

, In: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis,
Yoon, Doe Hyun ; Chang, Jichuan ; Schreiber, Robert S.. - p. 1-12 , 2013
Link: https://dl.acm.org/doi/1..
 
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9

Containment Domains: A Scalable, Efficient and Flexible Res..:

Chung, Jinsuk ; Lee, Ikhwan ; Sullivan, Michael...
Scientific Programming.  21 (2013)  3-4 - p. 197-212 , 2013
Link: https://doi.org/10.1155/..
 
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10

BOOM : enabling mobile memory based low-power server DIM..:

, In: Proceedings of the 39th Annual International Symposium on Computer Architecture,
Yoon, Doe Hyun ; Chang, Jichuan ; Muralimanohar, Naveen. - p. 25-36 , 2012
Link: https://dl.acm.org/doi/1..
 
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11

Exploring latency-power tradeoffs in deep nonvolatile memor..:

, In: Proceedings of the 9th conference on Computing Frontiers,
Yoon, Doe Hyun ; Gonzalez, Tobin ; Ranganathan, Parthasarathy. - p. 95-102 , 2012
Link: https://dl.acm.org/doi/1..
 
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12

MAGE : adaptive granularity and ECC for resilient and po..:

, In: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis,
Li, Sheng ; Yoon, Doe Hyun ; Chen, Ke... - p. 1-11 , 2012
Link: https://dl.acm.org/doi/1..
 
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13

The dynamic granularity memory system:

, In: Proceedings of the 39th Annual International Symposium on Computer Architecture,
Yoon, Doe Hyun ; Jeong, Min Kyu ; Sullivan, Michael. - p. 548-559 , 2012
Link: https://dl.acm.org/doi/1..
 
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14

The dynamic granularity memory system:

Yoon, Doe Hyun ; Jeong, Min Kyu ; Sullivan, Michael.
ACM SIGARCH Computer Architecture News.  40 (2012)  3 - p. 548-559 , 2012
Link: https://doi.org/10.1145/..
 
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15

BOOM: enabling mobile memory based low-power server DIMMs:

Yoon, Doe Hyun ; Chang, Jichuan ; Muralimanohar, Naveen.
ACM SIGARCH Computer Architecture News.  40 (2012)  3 - p. 25-36 , 2012
Link: https://doi.org/10.1145/..
 
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