Task Assignment for Multiple-Application Workload with Streaming Ones in MPSoC Using Shared Memory

Qi Zuo

doi:10.4028/www.scientific.net/AMM.263-266.1781

Paper Titles

Study on Message Transmission Technology Based on Dynamic Priority
p.1759

Study on Simulation Model of Supply Safety Storage Base on System Dynamic
p.1764

Study on the Framework of ASIP Executable Specification
p.1768

Study on XML Retrieval Results Classification
p.1773

Task Assignment for Multiple-Application Workload with Streaming Ones in MPSoC Using Shared Memory
p.1781

Testing Techniques of the Software Network Interface Based on the Capture and Analysis of the Packet
p.1786

The Design of Intelligent Guidance System Model Based on Network Teaching Platform
p.1792

The Key Technology of the Application of MultiGen Creator / Vega Prime in Visual Simulation System of Civil Aviation Airport
p.1796

The Research and Implementation of Screen Monitoring and Process Controlling in C/S Mode Based on C# Technology
p.1800

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266Task Assignment for Multiple-Application Workload...

Task Assignment for Multiple-Application Workload with Streaming Ones in MPSoC Using Shared Memory

Abstract:

Large scale Multi-Processor System-on-a-chip (MPSoC) based on Network on Chip (NoC) can support multiple applications running simultaneously. When the multiple-application workload includes streaming applications processing massive data, the communication concentrated on shared memory can't be ignored. In this paper, we propose a task assignment strategy for multiple-application workload which includes one streaming application on a NoC-based MPSoC. The proposed algorithm first assigns the streaming application centering the multi-port shared memory, and then assigns the other applications minimizing external communication congestion. By adopting the proposed algorithm, the memory-contention tasks are assigned to the PEs close to the shared memory and the overall congestion is minimized. This allows the system to provide better overall performance.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 263-266)

Pages:

1781-1785

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.263-266.1781

Citation:

Cite this paper

Online since:

December 2012

Authors:

Qi Zuo

Keywords:

MPSoC, Multi-Port Shared Memory, Network-on-Chip (NoC), Task Assignment

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] J. Nurmi, "Network-on-chip: A new paradigm for system-on-chip design," vol. 2005, Tampere, Finland, 2005, p.2 – 6, layered protocols;Network-on-Chip;Proposed networks;.

DOI: 10.1109/issoc.2005.1595630

Google Scholar

[2] C.-L. Chou and R. Marculescu, "User-aware dynamic task allocation in networks-on-chip," Munich, Germany, 2008, p.1232 – 1237

DOI: 10.1109/date.2008.4484847

Google Scholar

[3] S.-H. Lee, Y.-C. Yoon, and S.-Y. Hwang, "Communication-aware task assignment algorithm for mpsoc using shared memory," Journal of Systems Architecture, vol.56, no. 7, p.233 – 241, 2010.

DOI: 10.1016/j.sysarc.2010.03.001

Google Scholar

[4] T. T. Ye, L. Benini, and G. De Micheli, "Analysis of power consumption on switch fabrics in network routers," New Orleans, LA, United states, 2002, p.524 – 529.

DOI: 10.1109/dac.2002.1012681

Google Scholar

[5] K. Vallerio, "Task graphs for free (tgff v3.5), http://ziyang.eecs.umich.edu/~dickrp/tgff/."

Google Scholar