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Traffic shaping for an FPGA based SDRAM controller with complex QoS requirements
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Source Annual ACM IEEE Design Automation Conference archive
Proceedings of the 42nd annual Design Automation Conference table of contents
Anaheim, California, USA
SESSION: Architectural support for communication table of contents
Pages: 575 - 578  
Year of Publication: 2005
ISBN:1-59593-058-2
Authors
Sven Heithecker  Technical University of Braunschweig
Rolf Ernst  Technical University of Braunschweig
Sponsors
ACM: Association for Computing Machinery
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 10,   Downloads (12 Months): 53,   Citation Count: 7
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ABSTRACT

Today high-end video and multimedia processing applications require huge amounts of memory. For cost reasons, the usage of conventional dynamic RAM (SDRAM) is preferred. However, SDRAM access optimization is a complex task, especially if multistream access with different QoS requirements is involved. In [8], a multi-stream DDR-SDRAM controller IP covering combinations of low latency requirements for processor cache access, hard realtime constraints for periodic video signals and hard real-time bursty accesses for video coprocessors was described. To handle these contradictory QoS requirements at high system performance, a combination of a 2-stage scheduling algorithm and static priorities were used. This paper describes an additional flow control which enhances the overall performance. Experiments with an FPGA based high-end video platform demonstrate the superiority of this architecture.


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.

 
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HEITHECKER, S., DO CARMO LUCAS, A., AND ERNST, R. A Mixed QoS SDRAM Controller for FPGA-Based High-End Image Processing. In Workshop on Signal Processing Systems Design and Implementation (2003), IEEE, p. TP.11.
 
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PANDA, P., CATTHOOR, F., AND DUTT, N. Data and Memory Optimization Techniques for Embedded Systems. 140--206.
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SONICS, INC. Sonics SiliconBackplane MicroNetwork Overview.
 
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WEBER, W.-D. Sonics MemMax Memory Scheduler.
 
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WU, P.-C., AND CHEN, L.-G. An Efficient Architecture for Two-Dimensional Discrete Wavelet Transform. IEEE Transactions on circuits and systems for video technology 11, 4 (April 2001).

CITED BY  7

Collaborative Colleagues:
Sven Heithecker: colleagues
Rolf Ernst: colleagues