Approximate inference systems (AxIS)

Author:

Ghosh Soumendu Kumar1,Raha Arnab2,Raghunathan Vijay1

Affiliation:

1. Purdue University

2. Intel Corporation

Publisher

ACM

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. PArtNNer: Platform-Agnostic Adaptive Edge-Cloud DNN Partitioning for Minimizing End-to-End Latency;ACM Transactions on Embedded Computing Systems;2024-01-10

2. Cross-Layer Optimizations for Efficient Deep Learning Inference at the Edge;Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing;2023-10-10

3. Efficient Hardware Acceleration of Emerging Neural Networks for Embedded Machine Learning: An Industry Perspective;Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing;2023-10-01

4. Cross-Layer Approximations for System-Level Optimizations: Challenges and Opportunities;2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W);2023-06

5. X-NVDLA: Runtime Accuracy Configurable NVDLA Based on Applying Voltage Overscaling to Computing and Memory Units;IEEE Transactions on Circuits and Systems I: Regular Papers;2023-05

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