ACM Home Page
Please provide us with feedback. Feedback
An approach for adaptive DRAM temperature and power management
Full text PdfPdf (346 KB)
Source
International Conference on Supercomputing archive
Proceedings of the 22nd annual international conference on Supercomputing table of contents
Island of Kos, Greece
SESSION: Architecture 1 table of contents
Pages 63-72  
Year of Publication: 2008
ISBN:978-1-60558-158-3
Authors
Song Liu  Northwestern University, Evanston, IL, USA
Seda Ogrenci Memik  Northwestern University, Evanston, IL, USA
Yu Zhang  Northwestern University, Evanston, IL, USA
Gokhan Memik  Northwestern University, Evanston, IL, USA
Sponsors
ACM: Association for Computing Machinery
SIGARCH: ACM Special Interest Group on Computer Architecture
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 22,   Downloads (12 Months): 161,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1375527.1375540
What is a DOI?

ABSTRACT

With rising capacities and higher accessing frequencies, high-performance DRAMs are providing increasing memory access bandwidth to the processors. However, the increasing DRAM performance comes with the price of higher power consumption and temperature in DRAM chips. Traditional low power approaches for DRAM systems focus on utilizing low power modes, which is not always suitable for high performance systems. Existing DRAM temperature management techniques, on the other hand, utilize generic temperature management methods inherited from those applied on processor cores. These methods reduce DRAM temperature by controlling the number of DRAM accesses, similar to throttling the processor core, which incurs significant performance penalty. In this paper, we propose a customized low power technique for high performance DRAM systems, namely the Page Hit Aware Write Buffer (PHA-WB). The PHA-WB improves DRAM page hit rate by buffering write operations that may incur page misses. This approach reduces DRAM system power consumption and temperature without any performance penalty. Our proposed Throughput-Aware PHA-WB (TAP) dynamically configures the write buffer for different applications and workloads, thus achieves the best trade off between DRAM power reduction and buffer power overhead. Our experiments show that a system with TAP could reduce the total DRAM power consumption by up to 18.36% (8.64% on average). The steady-state temperature can be reduced by as much as 5.10°C and by 1.93°C on average across eight representative workloads.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
 
2
3
 
4
Iyer, J., C.L. Hall, J. Shi, and Y. Huang, System Memory Power and Thermal Management in Platforms Built on Intel® Centrino® Duo Mobile Technology. Intel Technology Journal, 2006.
 
5
JEDEC, FBDIMM Specification: DDR2 SDRAM Fully Buffered DIMM (FBDIMM) Design Specification http://www.jedec.org/download/search/JESD2051.pdf.
 
6
JEDEC, FBDIMM: Advanced Memory Buffer (AMB) http://www.jedec.org/download/search/JESD82-20.pdf.
7
 
8
Lee, K.-B., T.-C. Lin, and C.-W. Jen, An efficient quality-aware memory controller for multimedia platform SoC. IEEE Transactions on Circuits and Systems for Video Technology,, 2005. 15(5).
9
 
10
Lin, J., H. Zheng, Z. Zhu, Z. Zhang, and H. David, DRAM-level prefetching for fully-buffered DIMM: design, performance and power saving, in ISPASS'07. 2007.
 
11
Micron, Calculating Memory System Power for DDR2.
 
12
Micron, DDR2 SDRAM FBDIMM http://download.micron.com/pdf/datasheets/modules/ddr2/HTF18C128_256x72FD.pdf.
 
13
Micron, DDR2 SDRAM http://download.micron.com/pdf/datasheets/dram/ddr2/512MbDDR2.pdf.
 
14
Micron, System Power Calculator, http://www.micron.com/support/designsupport/tools/powercalc/powercalc.aspx.
 
15
Rambus, RDRAM, in www.rambus.com.
 
16
 
17
Shivakumar, P. and N.P. Jouppi, CACTI 3.0: An Integrated Cache Timing, Power, and Area Model WRL Research Report.
 
18
www.spec.org, Standard Performance Evaluation Corporation. SPEC CPU2000 .

Collaborative Colleagues:
Song Liu: colleagues
Seda Ogrenci Memik: colleagues
Yu Zhang: colleagues
Gokhan Memik: colleagues