AxoNN

Author:

Dagli Ismet1,Cieslewicz Alexander1,McClurg Jedidiah1,Belviranli Mehmet E.1

Affiliation:

1. Colorado School of Mines

Funder

FMitF: Track I: Robust Enforcement of Customizable Resource Constraints in Heterogeneous Embedded Systems

Publisher

ACM

Reference27 articles.

1. Rajkishore Barik Naila Farooqui Brian T. Lewis Chunling Hu and Tatiana Shpeisman. 2016. A black-box approach to energy-aware scheduling on integrated CPU-GPU systems. In CGO. Rajkishore Barik Naila Farooqui Brian T. Lewis Chunling Hu and Tatiana Shpeisman. 2016. A black-box approach to energy-aware scheduling on integrated CPU-GPU systems. In CGO.

2. Tianqi Chen . 2018 . TVM: An Automated End-to-End Optimizing Compiler for Deep Learning. In OSDI. Tianqi Chen. 2018. TVM: An Automated End-to-End Optimizing Compiler for Deep Learning. In OSDI.

3. Ismet Dagli and Mehmet E. Belviranli . 2021 . Multi-accelerator Neural Network Inference in Diversely Heterogeneous Embedded Systems. In RSDHA Workshop. Ismet Dagli and Mehmet E. Belviranli. 2021. Multi-accelerator Neural Network Inference in Diversely Heterogeneous Embedded Systems. In RSDHA Workshop.

4. Marvin Damschen , Frank Mueller , and Jörg Henkel . 2018. Co-scheduling on fused CPU-GPU architectures with shared last level caches . In IEEE TCAD. Marvin Damschen, Frank Mueller, and Jörg Henkel. 2018. Co-scheduling on fused CPU-GPU architectures with shared last level caches. In IEEE TCAD.

5. Maria Angelica Davila Guzman. 2019. Cooperative CPU GPU and FPGA heterogeneous execution with EngineCL. In The Journal of Supercomputing. Maria Angelica Davila Guzman. 2019. Cooperative CPU GPU and FPGA heterogeneous execution with EngineCL. In The Journal of Supercomputing.

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1. PowerTrain: Fast, generalizable time and power prediction models to optimize DNN training on accelerated edges;Future Generation Computer Systems;2024-12

2. Which Coupled is Best Coupled? An Exploration of AIMC Tile Interfaces and Load Balancing for CNNs;IEEE Transactions on Parallel and Distributed Systems;2024-10

3. Multi-Accelerator Neural Network Inference via TensorRT in Heterogeneous Embedded Systems;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

4. Scheduling for Cyber-Physical Systems with Heterogeneous Processing Units under Real-World Constraints;Proceedings of the 38th ACM International Conference on Supercomputing;2024-05-30

5. Parallelizing Accelerographic Records Processing;2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2024-05-27

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