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Hardware acceleration for Just-In-Time compilation on heterogeneous embedded systems.

, , and . ASAP, page 203-210. IEEE Computer Society, (2013)

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Applying Code Specialization to FFT Libraries for Integral Parameters., and . LCPC, volume 4382 of Lecture Notes in Computer Science, page 96-110. Springer, (2006)Efficient data driven run-time code generation., and . LCR, page 17:1-17:7. ACM, (2004)Instruction Set Design Methodology for In-Memory Computing through QEMU-based System Emulator., , , and . RSP, page 43-49. IEEE, (2021)Code specialization for red-black tree management algorithms, , and . Proceedings of the 3rd International Workshop on Adaptive Self-Tuning Computing Systems, page 6:1--6:3. New York, NY, USA, ACM, (2013)Improving performance of optimized kernels through fast instantiations of templates., , and . Concurr. Comput. Pract. Exp., 21 (1): 59-70 (2009)Reconfigurable tiles of computing-in-memory SRAM architecture for scalable vectorization., , , , , , , and . ISLPED, page 121-126. ACM, (2020)Hardware Acceleration of Red-Black Tree Management and Application to Just-In-Time Compilation., , and . J. Signal Process. Syst., 77 (1-2): 95-115 (2014)Software platform dedicated for in-memory computing circuit evaluation., , , , and . RSP, page 43-49. ACM, (2017)DRC2: Dynamically Reconfigurable Computing Circuit based on memory architecture., , , , , , and . ICRC, page 1-8. IEEE Computer Society, (2016)OCEANS - Optimising Compilers for Embedded Applications., , , , , , , , , and 9 other author(s). Euro-Par, volume 1685 of Lecture Notes in Computer Science, page 1171-1175. Springer, (1999)