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Reducing DRAM Accesses through Pseudo-Channel Mode

Autor(en):
Salehiminapour, Farzaneh [DBLP] ;
Lucas, Jan [DBLP] ;
Goebel, Matthias [DBLP] ;
Juurlink, Ben [DBLP]
Zusammenfassung
Applications once exclusive to high-performance computing are now common in systems ranging from mobile devices to clusters. They typically require large amounts of memory bandwidth. The graphic DRAM interface standards GDDR5X and GDDR6 are new DRAM technologies that promise to almost doubled data rates compared to GDDR5. However, these higher data rates require a longer burst length of 16 words. This would typically increase the memory access granularity. However, GDDR5X and GDDR6 support a feature called pseudo-channel mode. In pseudo-channel mode, the memory is split into two 16-bit pseudo channels. This split keeps the memory access granularity constant compared to GDDR5. However, the pseudo channels are not fully independent channels. Two accesses can be performed at the same time but access type, bank, and page must match, while column address can be selected separately for each pseudo channel. With this restriction, we arguethat GDDR5X can best be seen as a GDDR5 memory that allows performing an additional request to the same page without extra cost. Therefore, we propose a DRAM buffer scheduling algorithm to make effective use of the pseudo-channel mode and the additional memory bandwidth offered by GDDR5X. Compared to the GDDR5X regular mode, our proposed algorithm achieves 12.5% to 18% memory access reduction on average in pseudo-channel mode.
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Salehiminapour, F., Lucas, J., Goebel, M. & Juurlink, B., (2020). Reducing DRAM Accesses through Pseudo-Channel Mode.   PARS-Mitteilungen: Vol. 35, Nr. 1. Berlin: Gesellschaft für Informatik e.V., Fachgruppe PARS. (S. 27-38).
@article{mci/Salehiminapour2020,
author = {Salehiminapour, Farzaneh AND Lucas, Jan AND Goebel, Matthias AND Juurlink, Ben},
title = {Reducing DRAM Accesses through Pseudo-Channel Mode},
journal = {PARS-Mitteilungen},
volume = {35},
number = {1},
year = {2020},
,
pages = { 27-38 }
}
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ISSN: 0177-0454
Datum: 2020
Sprache: en (en)
Typ: Text/Journal Article
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  • PARS-Mitteilungen 2020 [12]

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Über uns | FAQ | Hilfe | Impressum | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.