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The READEX formalism for automatic tuning for energy efficiency, , , , , , , , , and 11 other author(s). Computing, (2017)Data and memory optimization techniques for embedded systems., , , , , , , and . ACM Trans. Design Autom. Electr. Syst., 6 (2): 149-206 (2001)Towards fine-grained dynamic tuning of HPC applications on modern multi-core architectures., , , , , , and . SC, page 41:1-41:12. ACM, (2017)Algorithm/Architecture Co-optimisation Technique for Automatic Data Reduction of Wireless Read-Out in High-Density Electrode Arrays., , , , , , and . ACM Trans. Embed. Comput. Syst., 17 (3): 67:1-67:19 (2018)Runtime Precomputation of Data-Dependent Parameters in Embedded Systems., , and . ACM Trans. Embed. Comput. Syst., 17 (3): 68:1-68:21 (2018)Data Access and Storage Management for Embedded Programmable Processors., , , , , , and . Kluwer, (2002)System scenario framework evaluation on EFM32 using the H264/AVC encoder control structure., , and . ECCTD, page 1-4. IEEE, (2015)Data dependency size estimation for use in memory optimization., , and . IEEE Trans. on CAD of Integrated Circuits and Systems, 22 (7): 908-921 (2003)Memory Requirement Optimization with Loop Fusion and Loop Shifting., , and . DSD, page 272-278. IEEE Computer Society, (2004)Run-Time Exploitation of Application Dynamism for Energy-Efficient Exascale Computing (READEX), , , , and . Computational Science and Engineering (CSE), 2015 IEEE 18th International Conference on, page 347-350. IEEE Computer Society, (October 2015)