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DeftNN: addressing bottlenecks for DNN execution on GPUs via synapse vector elimination and near-compute data fission.

, , , , , , , , и . MICRO, стр. 786-799. ACM, (2017)

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Animesh Yadav

Animesh Das

Animesh Patcha

Animesh Bhattacharya

Animesh Garg

 

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High-radix on-chip networks with low-radix routers., , и . ICCAD, стр. 289-294. IEEE, (2014)Iterative Activation-based Structured Pruning., , и . CoRR, (2022)Efficient Execution of Quantized Deep Learning Models: A Compiler Approach., , , , и . CoRR, (2020)Automated Backend-Aware Post-Training Quantization., , , , , , и . CoRR, (2021)Gist: Efficient Data Encoding for Deep Neural Network Training., , , , и . ISCA, стр. 776-789. IEEE Computer Society, (2018)Proctor: Detecting and Investigating Interference in Shared Datacenters., , , , и . ISPASS, стр. 76-86. IEEE Computer Society, (2018)Architectural support for convolutional neural networks on modern CPUs., , , , и . PACT, стр. 16:1-16:13. ACM, (2018)Continuous shape shifting: Enabling loop co-optimization via near-free dynamic code rewriting., , , и . MICRO, стр. 23:1-23:12. IEEE Computer Society, (2016)UNIT: Unifying Tensorized Instruction Compilation., , , , , и . CGO, стр. 77-89. IEEE, (2021)Knowledge Distillation via Module Replacing for Automatic Speech Recognition with Recurrent Neural Network Transducer., , , , , , и . INTERSPEECH, стр. 4436-4440. ISCA, (2022)