Analyzing the Effect of Heterogeneous Cache Hierarchy in Data Center Processors

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Nasri Adnan; FATHY M.; BROUMANDNIA A.

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR Year:2020 | Volume:18 | Issue:1 Page(s): 75-82

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

734

Download:

Cites:

Information Journal Paper

Title

Analyzing the Effect of Heterogeneous Cache Hierarchy in Data Center Processors

Author(s)

Nasri Adnan | FATHY M. | BROUMANDNIA A. | Issue Writer Certificate

Keywords

Cloud data centerQ1

processorQ1

cache hierarchyQ1

nonvolatile memoryQ1

CloudSuite benchmarkQ1

Abstract

This paper focuses on the effect of heterogeneous cache hierarchy in data center processors in the dark silicon era. For extreme-scale high performance computing systems, system-wide power consumption has been identified as one of the key constraints. As energy consumption becomes a key issue for operation and maintenance of Cloud data centers, cloud computing providers are becoming significantly concerned. Emerging non-volatile memory technologies are favorable replacement for conventional memory. Here, we employ a nonvolatile memory called spin-transfer torque random access memory (STT-RAM) as an on-chip L2 cache to obtain lower energy compared to conventional L2 caches, like SRAM. High density, fast read access, near-zero leakage power and non-volatility make STT-RAM a significant technology for on-chip memories. In order to decrease memory energy consumption, it is required to address both the leakage and dynamic energy. Previous studies have mainly studied specific schemes based on common applications and do not provide a thorough analysis of emerging scale-out applications with multiple design options. Here, we discuss different outlooks consisting of performance and energy efficiency in cloud processors by running CloudSuite benchmarks as one of scale-out workloads. Experiment results on the CloudSuite benchmarks show that using STT-RAM memory compare to SRAM memory as last level cache, consumes less energy in L2 cache, around 59% at maximum.

Cites

No record.

References

No record.

Cite

APA: Copy

Nasri, Adnan, FATHY, M., & BROUMANDNIA, A.. (2020). Analyzing the Effect of Heterogeneous Cache Hierarchy in Data Center Processors. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, 18(1 ), 75-82. SID. https://sid.ir/paper/228424/en

Vancouver: Copy

Nasri Adnan, FATHY M., BROUMANDNIA A.. Analyzing the Effect of Heterogeneous Cache Hierarchy in Data Center Processors. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR[Internet]. 2020;18(1 ):75-82. Available from: https://sid.ir/paper/228424/en

IEEE: Copy

Adnan Nasri, M. FATHY, and A. BROUMANDNIA, “Analyzing the Effect of Heterogeneous Cache Hierarchy in Data Center Processors,” NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, vol. 18, no. 1 , pp. 75–82, 2020, [Online]. Available: https://sid.ir/paper/228424/en

Related Journal Papers