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Generalized Data Transformations

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Embedded Software for SoC
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Abstract

We present a compiler-based data transformation strategy, called the “generalized data transformations,” for reducing inter-array conflict misses in embedded applications. We present the theory behind the generalized data transformations and discuss how they can be integrated with compiler-based loop transformations. Our experimental results demonstrate that the generalized data transformations are very effective in improving data cache behavior of embedded applications.

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References

  1. F. Catthoor et al. Custom Memory Management Methodology-Exploration of Memory Organization for Embedded Multimedia System Design. Kluwer Academic Publishers, 1998.

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  2. M. Cierniak and W. Li. “Unifying Data and Control Transformations for Distributed Shared Memory Machines.” In Proceedings of Programming Language Design and Implementation, pp. 205–217, 1995.

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  3. C. Ding. Improving Effective Bandwidth through Compiler Enhancement of Global and Dynamic Cache Reuse, Ph.D. Thesis, Rice University, Houston, Texas, January 2000.

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  4. M. Kandemir. “Array Unification: A Locality Optimization Technique.” In Proceedings of International Conference on Compiler Construction, ETAPS’2001, April, 2001.

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  5. M. Kandemir et al. “Improving Locality Using Loop and Data Transformations in an Integrated Framework.” In Proceedings of International Symposium on Microarchitecture, Dallas, TX, December, 1998.

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  6. G. Rivera and C.-W. Tseng. “Data Transformations for Eliminating Conflict Misses.” In Proceedings of the 1998 ACM SIGPLAN Conference on Programming Language Design and Implementation, Montreal, Canada, June 1998.

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  7. M. Wolfe. High Performance Compilers for Parallel Computing, Addison-Wesley Publishing Company, 1996.

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© 2003 Kluwer Academic Publishers

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Delaluz, V., Kadayif, I., Kandemir, M., Sezer, U. (2003). Generalized Data Transformations. In: Jerraya, A.A., Yoo, S., Verkest, D., Wehn, N. (eds) Embedded Software for SoC. Springer, Boston, MA. https://doi.org/10.1007/0-306-48709-8_31

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  • DOI: https://doi.org/10.1007/0-306-48709-8_31

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4020-7528-5

  • Online ISBN: 978-0-306-48709-5

  • eBook Packages: Springer Book Archive

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