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C++ Support and Applications for Embedded Multicore DSP Systems

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Abstract

In recent years embedded systems have entered the multicore era. As the number of cores keeps growing in embedded systems, it becomes more important to provide programming support which considers embedded system constraints and in the meanwhile helps utilize multicore systems. So far though C still dominates embedded programming, C++ is gaining in importance in parallel programming. It is promising to support C++ for embedded multicore systems. However, embedded systems usually have tight resource budgets, and C++ is commonly considered having huge code size that embedded systems can not afford. Therefore, in this paper we investigate the code size requirement of a C++ library and propose a layered design to provide a code size aware library support. On the other hand, to utilize embedded multicore systems, we employ C++ linguistic features to facilitate embedded multicore programming. With C++, we incorporate high-level abstractions and design patterns into the programming support to enhance low-level programming APIs that can be used to exploit DSPs, SIMD instructions, and DMAs on embedded multicore systems. At last, we evaluate our C++ support with a Blur and a JPEG program. Our result on a dual-DSP platform shows that we can obtain speedups of 3.32 and 3.09 for the Blur and JPEG program, respectively.

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Notes

  1. From now on, the execution time of the ChD stage is merged into that of the CST stage because it is much smaller than other stages.

References

  1. Bell, D., & Wood, G. (2009). Multicore programming guide, application report SPRAB27A. Texas Instruments.

  2. Chang, D., Lin, T., Wu, C., Lee, J., Chu, Y., Wu, A. (2011). Parallel, Architecture Core (PAC) – the first multicore application processor SoC in Taiwan part I: hardware architecture & software development tools. Journal of Signal Processing Systems, 62(3), 373–382.

    Article  Google Scholar 

  3. Choi, Y., Lin, Y., Chong, N., Mahlke, S., Mudge, T. (2009). Stream compilation for real-time embedded multicore systems. In Code generation and optimization, 2009. CGO 2009. International symposium on (pp. 210–220). Seattle: IEEE.

    Chapter  Google Scholar 

  4. Embedded C++ Technical Committee (1999). The Embedded C++ specification.

  5. Gregory, K. (2011). Overview and C++ AMP approach. Technical report. Microsoft, Providence.

  6. Hsieh, K., Liu, Y., Wu, P., Chang, S., Lee, J. (2008). Enabling streaming remoting on embedded dual-core processors. In Parallel processing, 2008. ICPP’08. 37th international conference on (pp. 35–42). IEEE: Portland.

    Chapter  Google Scholar 

  7. Kajmowicz, G. uClibc++: an embedded C++ library.

  8. Kale, L., & Krishnan, S. (1993). Charm++: a portable concurrent object oriented system based on C++. In ACM sigplan notices (Vol. 28, pp. 91–108).

  9. Karam, L., AlKamal, I., Gatherer, A., Frantz, G., Anderson, D., Evans, B. (2009). Trends in multicore DSP platforms. Signal Processing Magazine, IEEE, 26(6), 38–49.

    Article  Google Scholar 

  10. Keutzer, K., & Mattson, T. (2010). A design pattern language for engineering (parallel) software. Intel Technology Journal, 13(4).

  11. Kuan, C.B., & Lee, J.K. (2012). Compiler supports for VLIW DSP processors with SIMD intrinsics. Concurrency and Computation: Practice & Experience, 24(5), 517–532.

    Article  Google Scholar 

  12. Lebak, J., Kepner, J., Hoffmann, H., Rutledge, E. (2005). Parallel VSIPL++: An open standard software library for high-performance parallel signal processing. Proceedings of the IEEE, 93(2), 313–330.

    Article  Google Scholar 

  13. Lee, J., & Gannon, D. (1991). Object oriented parallel programming: experiments and results. In Proceedings of the 1991 ACM/IEEE conference on supercomputing (pp. 273–282). ACM.

  14. Levy, M., & Conte, T. (2009). Embedded multicore processors and systems. Micro, IEEE, 29(3), 7–9.

    Article  Google Scholar 

  15. Lin, Y., Choi, Y., Mahlke, S., Mudge, T., Chakrabarti, C. (2008). A parameterized dataflow language extension for embedded streaming systems. In Embedded computer systems: architectures, modeling, and simulation, 2008. SAMOS 2008. International conference on (pp. 10–17). IEEE.

  16. Lin, Y.C., You, Y.P., Lee, J.K. (2007). PALF: compiler supports for irregular register files in clustered VLIW DSP processors. Concurrency and Computation: practice & Experience, 19(18), 2391–2406.

    Article  Google Scholar 

  17. Linderman, M., Collins, J., Wang, H., Meng, T. (2008). Merge: a programming model for heterogeneous multi-core systems. In ACM SIGOPS operating systems review (Vol. 42, pp. 287–296).

  18. Lu, C.H., Lin, Y.C., You, Y.P., Lee, J.K. (2009). LC-GRFA: global register file assignment with local consciousness for VLIW DSP processors with non-uniform register files. Concurrency and Computation: Practice & Experience, 21(1), 101–114.

    Article  Google Scholar 

  19. Mattson, T., Sanders, B., Massingill, B. (2004). Patterns for parallel programming. Addison-Wesley Professional.

  20. Microsoft: Parallel patterns library 2010.

  21. Newburn, C., So, B., Liu, Z., McCool, M., Ghuloum, A., Toit, S., Wang, Z., Du, Z., Chen, Y., Wu, G. (2011). Intel’s Array Building Blocks: a retargetable, dynamic compiler and embedded language. In Code generation and optimization (CGO), 2011 9th annual IEEE/ACM international symposium on (pp. 224–235). IEEE.

  22. Pankratius, V., Schaefer, C., Jannesari, A., Tichy, W. (2008). Software engineering for multicore systems: an experience report. In Proceedings of the 1st international workshop on multicore software engineering (pp. 53–60). ACM.

  23. Plauger, P. (1997). Embedded C++: an overview. Embedded Systems Programming, 10, 40–53.

    Google Scholar 

  24. Reinders, J. (2007). Intel threading building blocks: outfitting C++ for multi-core processor parallelism. O’Reilly Media, Inc.

  25. Wang, P., Collins, J., Chinya, G., Jiang, H., Tian, X., Girkar, M., Yang, N., Lueh, G., Wang, H. (2007) EXOCHI: architecture and programming environment for a heterogeneous multi-core multithreaded system. ACM SIGPLAN Notices, 42(6), 156–166.

    Article  Google Scholar 

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Acknowledgments

This work is supported in part by National Science Council (NSC) under grant no. 101-2220-E-007-001 and 101-2219-E-007-004 and by Ministry of Economic Affairs (MOEA) under grant no. 101-EC-17-A-02-S1-202 in Taiwan.

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Authors and Affiliations

  1. Department of Computer Science, National Tsing Hua University, Hsinchu City, Taiwan

    Chi-Bang Kuan, Jia-Jhe Li & Jenq-Kuen Lee

  2. Realtek Semiconductor Corp., Hsinchu Science Park, Hsinchu City, Taiwan

    Chung-Kai Chen

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  1. Chi-Bang Kuan
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Correspondence to Jenq-Kuen Lee.

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Kuan, CB., Li, JJ., Chen, CK. et al. C++ Support and Applications for Embedded Multicore DSP Systems. J Sign Process Syst 75, 109–122 (2014). https://doi.org/10.1007/s11265-013-0750-6

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  • DOI: https://doi.org/10.1007/s11265-013-0750-6

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