nach oben

The Journal of Supercomputing

Erschienen in:

02.01.2021

GPU-oriented dynamic low-power data transmission method

verfasst von: Bin Xu, Tiefei Zhang

Erschienen in: The Journal of Supercomputing | Ausgabe 7/2021

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

The model highly parallel graphics processor systems rely on high-bandwidth DRAM I/O interfaces for large volume of data access at the cost of a lot of energy consumption. In order to reduce the energy consumption of data transmission, modern DRAM uses an asymmetric pseudo-drain I/O interface, which increases the ratio of the termination energy to the transmission energy of logic value 1 in data transactions. This paper proposes the X + B Dynamic Bus Encoding Mechanism, which dynamically selects the encoding mechanism to reduce the number of logical values 1 within different data elements, thereby reducing the data transmission energy consumption of the modern DRAM data bus. The simulation evaluation shows the X + B Dynamic Bus Encoding Mechanism reduces the number of logical values 1 by 38.6%, which saves 31.4% of transmission energy consumption compared to the current bus coding technology.

Vorheriger Artikel Trend analysis using agglomerative hierarchical clustering approach for time series big data

Nächster Artikel A scalable array storage for efficient maintenance of future data

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Mittal S, Nag S (2019) A survey of encoding techniques for reducing data-movement energy. J Syst Archit 97:373–396CrossRef

Ayoub R, Orailoglu A (2005) A unified transformational approach for reductions in fault vulnerability, power, and crosstalk noise and delay on processor buses. In: Proceedings of the 2005 Asia and South Pacific Design Automation Conference. 729–734

Sundstrom LL (1996) Adjustable voltage level shifter: U.S. Patent 5,528,172[P]. 6–18

Standard J. POD18—1.8 V Pseudo open drain I/O; JESD8-19 Datasheet (2006) JEDEC Solid State Technology Association

Gunning B et al (1992) A CMOS low-voltage-swing transmission-line transceiver. In: IEEE International Solid-State Circuits Conference Digest of Technical Papers

Naehyuck Chang, Kwanho Kim, and Jinsung Cho (2000). Bus encoding for low-power high-performance memory systems. In: Proceedings of the 37th Annual Design Automation Conference (DAC00). Association for Computing Machinery, New York, 800–805

孙海珺,邵志标 (2007) Power-optimal encoding for low-power address bus. J Harbin Inst Technol 05: 652–656

WangS, Ipek E (2016) Reducing data movement energy via online data clustering and encoding.In: 49th Annual IEEE/ACM International Symposium On Microarchitecture (MICRO), Taipei, pp. 1–13

Yang J, Gupta R, Zhang C (2004) Frequent value encoding for low power data buses. ACM Trans Des Autom Electr Syst 9(3):354–384CrossRef

10.

SongY, Ipek E (2015) More is less: improving the energy efficiency of data movement via opportunistic use of sparse codes. In: 48th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), Waikiki, pp. 242–254

11.

Stan MR, Burleson WP (1995) Bus-invert coding for low-power I/O. IEEE Trans Very Large Scale Integr Syst 3(1):49–58CrossRef

12.

LeeD, O'Connor M, Chatterjee N (2018) Reducing data transfer energy by exploiting similarity within a data transaction. In: IEEE International Symposium On High Performance Computer Architecture (HPCA), Vienna, pp. 40–51

13.

NVIDIA, NVIDIA Titan X (2016).https://www.nvidia.com/en-us/geforce/products/10series/titan-x-pascal

14.

Micron (2005) Mobile DRAM power-saving features and power calculations. http://www.micron.com/media/documents/products/technical-note/dram/tn4612.pdf

15.

Rambus (2010) DRAM Power Model. http://www.rambus.com/energy

16.

Brajesh KK, Deepika A, Nagendra GB (2013) Bus encoder design for reduced crosstalk, power and area in coupled VLSI interconnects. Microelectr J 44(9):827–833CrossRef

17.

Ramprasad S, Shanbhag NR, Hajj IN (1999) "A coding framework for low-power address and data busses. IEEE Trans Very Large Scale Integr Syst 7(2):212–221CrossRef

18.

Dublish SK (2018) Managing the memory hierarchy in GPUs. Informatics thesis and dissertation collection. http://hdl.handle.net/1842/31205

19.

Maragkoudaki E, Pavlidis VF (2020). Energy-efficient time-based adaptive encoding for off-chip communication. IEEE Trans Very Large Scale Integr Syst. https://doi.org/10.1109/TVLSI.2020.3018062

20.

Behnam P, Bojnordi MN (2020) STFL-DDR: improving the energy-efficiency of memory interface. IEEE Trans Comput 69(12):1823–1834CrossRef

Titel: GPU-oriented dynamic low-power data transmission method
verfasst von: Bin Xu
Tiefei Zhang
Publikationsdatum: 02.01.2021
Verlag: Springer US
Erschienen in: The Journal of Supercomputing / Ausgabe 7/2021
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-020-03515-4

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Weitere Artikel der Ausgabe 7/2021

Reconfigurable edge as a service: enhancing edges using quality-based solutions

Parallel simulation of drift–diffusion–recombination by cellular automata and global random walk algorithm

A variable action set cellular learning automata-based algorithm for link prediction in online social networks

Future cloud: spherical processors for realizing low-cost upgrade in underwater data centers

CamNav: a computer-vision indoor navigation system

SS-ITS: secure scalable intelligent transportation systems