Towards Application-Specific Address Mapping for Emerging Memory Devices

Author:

Adavally Shashank1,Kavi Krishna1

Affiliation:

1. University of North Texas, United States

Funder

NSF

Publisher

ACM

Reference21 articles.

1. [n.d.]. Hynix GDDR5 SGRAM Part H5GQ1H24AFR. http://www.hytic.net/upload/files/2014/05/HYNIX-H5GQ1H24AFR.pdf. [n.d.]. Hynix GDDR5 SGRAM Part H5GQ1H24AFR. http://www.hytic.net/upload/files/2014/05/HYNIX-H5GQ1H24AFR.pdf.

2. [n.d.]. Linux pagemap. https://www.kernel.org/doc/Documentation/vm/pagemap.txt. [n.d.]. Linux pagemap. https://www.kernel.org/doc/Documentation/vm/pagemap.txt.

3. 2019. High Performance Conjugate Gradient. https://github.com/hpcg-benchmark/hpcg. 2019. High Performance Conjugate Gradient. https://github.com/hpcg-benchmark/hpcg.

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1. NeuroTAP: Thermal and Memory Access Pattern-Aware Data Mapping on 3D DRAM for Maximizing DNN Performance;ACM Transactions on Embedded Computing Systems;2024-09-11

2. Flatfish: A Reinforcement Learning Approach for Application-Aware Address Mapping;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2022-11

3. Dynamically Reconfigurable Memory Address Mapping for General-Purpose Graphics Processing Unit;2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA);2022-10-28

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