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Dynamic I/O-Aware Scheduling for Batch-Mode Applications on Chip Multiprocessor Systems of Cluster Platforms.

, , , , , , and . J. Comput. Sci. Technol., 29 (1): 21-37 (2014)

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A novel single multiplicative neuron model trained by an improved glowworm swarm optimization algorithm for time series prediction., , , and . Knowl. Based Syst., (2015)Dynamic I/O-Aware Scheduling for Batch-Mode Applications on Chip Multiprocessor Systems of Cluster Platforms., , , , , , and . J. Comput. Sci. Technol., 29 (1): 21-37 (2014)Landing Stencil Code on Godson-T., , , and . J. Comput. Sci. Technol., 25 (4): 886-894 (2010)WiseThrottling: a new asynchronous task scheduler for mitigating I/O bottleneck in large-scale datacenter servers., , , , , , and . J. Supercomput., 71 (8): 3054-3093 (2015)Adaptive control for uncertain discrete-time systems with unknown disturbance based on RNN., , , and . Artif. Intell. Res., 5 (2): 102- (2016)Optimizing Dynamic-Shape Neural Networks on Accelerators via On-the-Fly Micro-Kernel Polymerization., , , , , and . ASPLOS (2), page 797-812. ACM, (2024)Optimizing Deep Learning Inference via Global Analysis and Tensor Expressions., , , , , , , and . ASPLOS (1), page 286-301. ACM, (2024)VTensor: Using Virtual Tensors to Build a Layout-oblivious AI Programming Framework., , , , and . PACT, page 345-346. ACM, (2020)Referee: A Pattern-Guided Approach for Auto Design in Compiler-Based Analyzers., , , , , , and . SANER, page 1-12. IEEE, (2020)Characterizing DNN Models for Edge-Cloud Computing., , , and . IISWC, page 82-83. IEEE Computer Society, (2018)