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Winograd Convolution for DNNs: Beyond Linear Polynomials., and . AI*IA, volume 11946 of Lecture Notes in Computer Science, page 307-320. Springer, (2019)Low Complexity Multiply Accumulate Unit for Weight-Sharing Convolutional Neural Networks., and . IEEE Comput. Archit. Lett., 16 (2): 132-135 (2017)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)Practical Algorithms for Finding Extremal Sets., , and . CoRR, (2015)Spectral Convolution Networks., , and . CoRR, (2016)An output sensitive algorithm for computing a maximum independent set of a circle graph., and . Inf. Process. Lett., 110 (16): 630-634 (2010)GSFAP adaptive filtering using log arithmetic for resource-constrained embedded systems., , and . FPGA, page 236. ACM, (2006)Building an Interpreter with Vmgen., and . CC, volume 2304 of Lecture Notes in Computer Science, page 5-8. Springer, (2002)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)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)