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Spectral Convolution Networks., , and . CoRR, (2016)Optimizing interpreters by tuning opcode orderings on virtual machines for modern architectures: or: how I learned to stop worrying and love hill climbing., and . PPPJ, page 161-170. ACM, (2011)GSFAP adaptive filtering using log arithmetic for resource-constrained embedded systems., , and . FPGA, page 236. ACM, (2006)Semi-automatic Composition of Data Layout Transformations for Loop Vectorization., and . NPC, volume 8707 of Lecture Notes in Computer Science, page 485-496. Springer, (2014)The Behavior of Efficient Virtual Machine Interpreters on Modern Architectures., and . Euro-Par, volume 2150 of Lecture Notes in Computer Science, page 403-412. Springer, (2001)Winograd Convolution for DNNs: Beyond Linear Polynomials., and . AI*IA, volume 11946 of Lecture Notes in Computer Science, page 307-320. Springer, (2019)Compiler techniques to improve dynamic branch prediction for indirect jump and call instructions., and . ACM Trans. Archit. Code Optim., 8 (4): 24:1-24:20 (2012)Domino Saliency Metrics: Improving Existing Channel Saliency Metrics with Structural Information., , and . AI*IA, volume 13196 of Lecture Notes in Computer Science, page 447-461. Springer, (2021)Building an Interpreter with Vmgen., and . CC, volume 2304 of Lecture Notes in Computer Science, page 5-8. Springer, (2002)The Case for Virtual Register Machines, , , , and . Science of Computer Programming, 57 (3): 319-338 (2005)Advances in Interpreters, Virtual Machines and Emulators.