Abstract
The working principle of DFC compiler is introduced in this article. DFC is a grammatical extension of standard C language, with special DF function which describe the dependence of computing DAG. DFC compiler, dfcc, is used to convert the DFC source codes to standard C codes with the assistance of multi-threaded library. The lexical rules and grammatical rules are used to setup the AST of DFC codes, and then it is converted to the AST of standard C without DF function nodes. The derived AST is printed into a text file, a normal C file, and finally is processed by GCC to obtain the executable file. The experiment gives some demonstration of that converting details, and the memory footprint is studied to show an ideal scalability.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Sterling, T., Brodowicz, M., Anderson, M.: High Performance Computing: Modern Systems and Practices, pp. 616–618. Morgan Kaufmann, Cambridge (2018)
Pell, O., Averbukh, V.: Maximum performance computing with dataflow engines. Comput. Sci. Eng. 14(4), 98–103 (2012). https://doi.org/10.1109/MCSE.2012.78
Burger, D., et al.: The TRIPS team, scaling to the end of silicon with EDGE architectures. IEEE Comput. 37(7), 44–55 (2004). https://doi.org/10.1109/MC.2004.65
Gebhart, M., et al.: An evaluation of the TRIPS computer system. SIGPLAN Not. 44(3), 1–2 (2009). https://doi.org/10.1145/1508284.1508246
Giorgi, R.: Teraflux: exploiting dataflow parallelism in teradevices. In: Proceedings of the 36th Annual IEEE/ACM International Symposium on Microarchitecture, CF 2012, ACM, 2012. New York, NY, USA (2012). https://doi.acm.org/10.1145/2212908.2212959.
Portero, A., Yu, Z., Giorgi, R.: Teraflux: exploiting tera-device computing challenges. Procedia CS 7, 146–147 (2011)
Ursutiu,D., Samoila, C., Jinga, V.: Creative developments in LabVIEW student training: (Creativity laboratory — LabVIEW academy). In: 2017 4th Experiment@International Conference (exp.at 2017), Faro, pp. 309–312 (2017). https://doi.org/10.1109/EXPAT.2017.7984399
Chavarrias, M., Pescador, F., Juárez, E., Garrido, M.J.: An automatic tool for the static distribution of actors in RVC-CAL based multicore designs, Design of Circuits and Integrated Systems, Madrid, pp. 1–6 (2014)
Lin, H., Lin, Z., Diaz, J.M., Li, M., An, H., Gao, G.R.: swFLOW: a dataflow deep learning framework on Sunway TaihuLight Supercomputer. In: 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), Zhangjiajie, China, pp. 2467–2475 (2019)
Du, Z., Zhang, J., Sha, S., Luo, Q.: Implementing the matrix multiplication with DFC on Kunlun small scale computer. In: 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), Gold Coast, Australia, pp. 115–120 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Du, Z., Zhang, J., Li, J., Du, H., Shu, J., Luo, Q. (2021). The Compiler of DFC: A Source Code Converter that Transform the Dataflow Code to the Multi-threaded C Code. In: Zhang, Y., Xu, Y., Tian, H. (eds) Parallel and Distributed Computing, Applications and Technologies. PDCAT 2020. Lecture Notes in Computer Science(), vol 12606. Springer, Cham. https://doi.org/10.1007/978-3-030-69244-5_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-69244-5_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-69243-8
Online ISBN: 978-3-030-69244-5
eBook Packages: Computer ScienceComputer Science (R0)