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Fast Data Delivery for Many-Core Processors.

Authors :
Bakhshalipour, Mohammad
Lotfi-Kamran, Pejman
Mazloumi, Abbas
Samandi, Farid
Naderan-Tahan, Mahmood
Modarressi, Mehdi
Sarbazi-Azad, Hamid
Source :
IEEE Transactions on Computers. Oct2018, Vol. 67 Issue 10, p1416-1429. 14p.
Publication Year :
2018

Abstract

Server workloads operate on large volumes of data. As a result, processors executing these workloads encounter frequent L1-D misses. In a many-core processor, an L1-D miss causes a request packet to be sent to an LLC slice and a response packet to be sent back to the L1-D, which results in high overhead. While prior work targeted response packets, this work focuses on accelerating the request packets. Unlike aggressive OoO cores, simpler cores used in many-core processors cannot hide the latency of L1-D request packets. We observe that LLC slices that serve L1-D misses are strongly temporally correlated. Taking advantage of this observation, we design a simple and accurate predictor. Upon the occurrence of an L1-D miss, the predictor identifies the LLC slice that will serve the next L1-D miss and a circuit will be set up for the upcoming miss request to accelerate its transmission. When the upcoming miss occurs, the resulting request can use the already established circuit for transmission to the LLC slice. We show that our proposal outperforms data prefetching mechanisms in a many-core processor due to (1) higher prediction accuracy and (2) not wasting valuable off-chip bandwidth, while requiring significantly less overhead. Using full-system simulation, we show that our proposal accelerates serving data misses by 22 percent and leads to 10 percent performance improvement over the state-of-the-art network-on-chip. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189340
Volume :
67
Issue :
10
Database :
Academic Search Index
Journal :
IEEE Transactions on Computers
Publication Type :
Academic Journal
Accession number :
131635137
Full Text :
https://doi.org/10.1109/TC.2018.2821144