H2M: Towards Heuristics for Heterogeneous Memory
Proceedings, pp. 498–499
Abstract
For the past years, scientific applications and simulations show increasing demand for both memory speed and capacity. The performance gap between compute units and the memory subsystem continues to spread which led to redesigns and the emergence of new technologies. Recent architectures already comprise, next to classical DRAM, portions of High Bandwidth Memory (HBM) that has less capacity than DRAM and is solving only one of the requirements. The newly introduced Non- Volatile Memory (NVM) shows performance closer to DRAM, while providing terabytes of capacity, consuming less power and having a better price per byte ratio.
Authors 6
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Institut national de recherche en sciences et technologies du numérique · Université de Bordeaux · Laboratoire Bordelais de Recherche en Informatique
Affiliation as printed
Univ. Bordeaux, LaBRI,Inria,Talence,France
Inria, Univ. Bordeaux, LaBRI, Talence, France
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Institut national de recherche en sciences et technologies du numérique · Université de Bordeaux · Laboratoire Bordelais de Recherche en Informatique
Affiliation as printed
Univ. Bordeaux, LaBRI,Inria,Talence,France
Inria, Univ. Bordeaux, LaBRI, Talence, France
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Institut national de recherche en sciences et technologies du numérique · Université de Bordeaux · Laboratoire Bordelais de Recherche en Informatique
Affiliation as printed
Univ. Bordeaux, LaBRI,Inria,Talence,France
Inria, Univ. Bordeaux, LaBRI, Talence, France
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Jannis Klinkenberg Aachen
Affiliation as printed
RWTH Aachen University,Aachen,Germany
RWTH Aachen University, Aachen, Germany
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Anara Kozhokanova Aachen
Affiliation as printed
RWTH Aachen University,Aachen,Germany
RWTH Aachen University, Aachen, Germany
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Christian Terboven Aachen
Affiliation as printed
RWTH Aachen University,Aachen,Germany
RWTH Aachen University, Aachen, Germany
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