Impact of modern memory subsystems on cache optimizations for stencil computations

Proceedings of the 2005 workshop on Memory system performance - MSP '05 ◽

10.1145/1111583.1111589 ◽

2005 ◽

Cited By ~ 43

Author(s):

Shoaib Kamil ◽

Parry Husbands ◽

Leonid Oliker ◽

John Shalf ◽

Katherine Yelick

Keyword(s):

Stencil Computations ◽

Memory Subsystems

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Working Memory Subsystems and Receptive Vocabulary in Children with Specific Language Impairment

Journal of speech-language & hearing disorders ◽

10.15724/jslhd.2014.23.2.004 ◽

2014 ◽

Vol 23 (2) ◽

pp. 35-44 ◽

Cited By ~ 5

Author(s):

홍현주 ◽

임동선

Keyword(s):

Working Memory ◽

Language Impairment ◽

Specific Language Impairment ◽

Receptive Vocabulary ◽

Specific Language ◽

Memory Subsystems

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Ultraviolet Measurement of Optical Memory Subsystems

10.21236/ada374307 ◽

2000 ◽

Author(s):

Joseph Osman ◽

Rebecca Bussjager ◽

David Grucza

Keyword(s):

Optical Memory ◽

Memory Subsystems

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Implications of NVM Based Storage on Memory Subsystem Management

Applied Sciences ◽

10.3390/app10030999 ◽

2020 ◽

Vol 10 (3) ◽

pp. 999

Author(s):

Hyokyung Bahn ◽

Kyungwoon Cho

Keyword(s):

Random Access ◽

Disk Drive ◽

Main Memory ◽

Memory Storage ◽

Storage Device ◽

Storage Devices ◽

Large Memory ◽

Memory Subsystems ◽

Non Volatile Memory ◽

Management Techniques

Recently, non-volatile memory (NVM) has advanced as a fast storage medium, and legacy memory subsystems optimized for DRAM (dynamic random access memory) and HDD (hard disk drive) hierarchies need to be revisited. In this article, we explore the memory subsystems that use NVM as an underlying storage device and discuss the challenges and implications of such systems. As storage performance becomes close to DRAM performance, existing memory configurations and I/O (input/output) mechanisms should be reassessed. This article explores the performance of systems with NVM based storage emulated by the RAMDisk under various configurations. Through our measurement study, we make the following findings. (1) We can decrease the main memory size without performance penalties when NVM storage is adopted instead of HDD. (2) For buffer caching to be effective, judicious management techniques like admission control are necessary. (3) Prefetching is not effective in NVM storage. (4) The effect of synchronous I/O and direct I/O in NVM storage is less significant than that in HDD storage. (5) Performance degradation due to the contention of multi-threads is less severe in NVM based storage than in HDD. Based on these observations, we discuss a new PC configuration consisting of small memory and fast storage in comparison with a traditional PC consisting of large memory and slow storage. We show that this new memory-storage configuration can be an alternative solution for ever-growing memory demands and the limited density of DRAM memory. We anticipate that our results will provide directions in system software development in the presence of ever-faster storage devices.

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