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Instruction Set Design Methodology for In-Memory Computing through QEMU-based System Emulator.

, , , and . RSP, page 43-49. IEEE, (2021)

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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)Instruction Set Design Methodology for In-Memory Computing through QEMU-based System Emulator., , , and . RSP, page 43-49. IEEE, (2021)Efficient data driven run-time code generation., and . LCR, page 17:1-17:7. ACM, (2004)Improving performance of optimized kernels through fast instantiations of templates., , and . Concurr. Comput. Pract. Exp., 21 (1): 59-70 (2009)Applying Code Specialization to FFT Libraries for Integral Parameters., and . LCPC, volume 4382 of Lecture Notes in Computer Science, page 96-110. Springer, (2006)Reconfigurable tiles of computing-in-memory SRAM architecture for scalable vectorization., , , , , , , and . ISLPED, page 121-126. ACM, (2020)Hybrid Specialization: A Trade-off Between Static and Dynamic Specialization., , and . PACT, page 415. IEEE Computer Society, (2007)Toward Modeling Cache-Miss Ratio for Dense-Data-Access-Based Optimization., , and . RSP, page 64-70. ACM, (2019)Hardware acceleration for Just-In-Time compilation on heterogeneous embedded systems., , and . ASAP, page 203-210. IEEE Computer Society, (2013)FPU Speedup Estimation for Task Placement Optimization on Asymmetric Multicore Designs., , , and . MCSoC, page 81-87. IEEE Computer Society, (2015)