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A Geometric Approach for Partitioning N-Dimensional Non-rectangular Iteration Spaces., , , и . LCPC, том 3602 из Lecture Notes in Computer Science, стр. 102-116. Springer, (2004)Using Recursion to Boost ATLAS's Performance., и . ISHPC, том 4759 из Lecture Notes in Computer Science, стр. 142-151. Springer, (2005)Improving numerical accuracy for non-negative matrix multiplication on GPUs using recursive algorithms., , , , и . ICS, стр. 213-222. ACM, (2013)Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines., , , , , , , , и . CoRR, (2018)Pruning hardware evaluation space via correlation-driven application similarity analysis., , , , , и . Conf. Computing Frontiers, стр. 4. ACM, (2011)xDNN: Inference for Deep Convolutional Neural Networks., , , , , и . ACM Trans. Reconfigurable Technol. Syst., 15 (2): 18:1-18:29 (2022)Fractal Matrix Multiplication: A Case Study on Portability of Cache Performance., , и . WAE, том 2141 из Lecture Notes in Computer Science, стр. 26-38. Springer, (2001)Adaptive Strassen's matrix multiplication., и . ICS, стр. 284-292. ACM, (2007)On the Space and Access Complexity of Computation DAGs., , и . WG, том 1928 из Lecture Notes in Computer Science, стр. 47-58. Springer, (2000)JuliusC: A Practical Approach for the Analysis of Divide-and-Conquer Algorithms., и . LCPC, том 3602 из Lecture Notes in Computer Science, стр. 117-131. Springer, (2004)