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How to implement effective prediction and forwarding for fusable dynamic multicore architectures.

, , , , , , , and . HPCA, page 460-471. IEEE Computer Society, (2013)

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Axilog: Abstractions for Approximate Hardware Design and Reuse., , , , , , , , , and . IEEE Micro, 35 (5): 16-30 (2015)Axilog: language support for approximate hardware design., , , , , , , , , and 2 other author(s). DATE, page 812-817. ACM, (2015)Test Instruction Set (TIS) for High Level Self-Testing of CPU Cores., , and . Asian Test Symposium, page 158-163. IEEE Computer Society, (2004)Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation., , and . CoRR, (2019)In-DRAM near-data approximate acceleration for GPUs., , , , , and . PACT, page 34:1-34:14. ACM, (2018)Machine Learning Acceleration., and . IEEE Micro, 39 (5): 6-7 (2019)A Network-Centric Hardware/Algorithm Co-Design to Accelerate Distributed Training of Deep Neural Networks., , , , , , , , , and . MICRO, page 175-188. IEEE Computer Society, (2018)AxGames: Towards Crowdsourcing Quality Target Determination in Approximate Computing., , , , and . ASPLOS, page 623-636. ACM, (2016)General-purpose code acceleration with limited-precision analog computation., , , , , , , and . ISCA, page 505-516. IEEE Computer Society, (2014)Memetic Algorithm Based Path Planning for a Mobile Robot., , , and . International Conference on Computational Intelligence, page 56-59. International Computational Intelligence Society, (2004)