@article{nokey,

title = {SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning},

author = {Zihui Xue and Yuedong Yang and Radu Marculescu},

doi = {10.1109/TC.2023.3288755},

issn = {0018-9340},

year  = {2023},

date = {2023-06-29},

urldate = {2023-06-29},

journal = {IEEE Transactions on Computers},

abstract = {Graph Neural Networks (GNNs) have demonstrated a great potential in a variety of graph-based applications, such as recommender systems, drug discovery, and object recognition. Nevertheless, resource-efficient GNN learning is a rarely explored topic despite its many benefits for edge computing and Internet of Things (IoT) applications. To improve this state of affairs, this work proposes efficient su b g raph-level tr a ining via r esource-aware graph partitioning (SUGAR). SUGAR first partitions the initial graph into a set of disjoint subgraphs and then performs local training at the subgraph-level We provide a theoretical analysis and conduct extensive experiments on five graph benchmarks to verify its efficacy in practice. Our results across five different hardware platforms demonstrate great runtime speedup and memory reduction of SUGAR on large-scale graphs. We believe SUGAR opens a new research direction towards developing GNN methods that are resource-efficient, hence suitable for IoT deployment. Our code is publicly available at: https://github.com/zihuixue/SUGAR.},

keywords = {Edge AI, Graph Neural Network},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {CANNON: Communication-Aware Sparse Neural Network Optimization},

author = {Alper-A Goksoy and Guihong Li and Sumit K. Mandal and Umit Y. Ogras and Radu Marculescu},

year  = {2023},

date = {2023-06-23},

urldate = {2023-06-23},

journal = {IEEE Transactions on Emerging Topics in Computing},

keywords = {Model Compression \& Optimization, NoCmap, Systems},

pubstate = {forthcoming},

tppubtype = {article}

}

@article{DSAAnish,

title = {Domain-Specific Architectures (DSAs): Research Problems and Promising Approaches},

author = {Krishnakumar, Anish and Ogras, Umit Y and Marculescu, Radu and Kishinevsky, Michael and Mudge, Trevor },

url = {https://dl.acm.org/doi/full/10.1145/3563946},

year  = {2022},

date = {2022-10-07},

urldate = {2022-10-07},

journal = {ACM Transactions on Embedded Computing Systems (TECS)},

keywords = {Edge AI, Embedded Systems, Internet of Things, Systems},

pubstate = {published},

tppubtype = {article}

}

@article{esweek2021,

title = {FLASH: Fast Neural Architecture Search with Hardware Optimization},

author = {Guihong Li and Sumit K Mandal and Umit Y Ogras and Radu Marculescu},

url = {https://dl.acm.org/doi/10.1145/3476994},

year  = {2021},

date = {2021-10-12},

journal = {ACM Transactions on Embedded Computing Systems},

volume = {20},

number = {63},

pages = {1-26},

keywords = {Edge AI, Embedded Systems, Model Compression \& Optimization, Neural Architecture Search},

pubstate = {published},

tppubtype = {article}

}

@article{goksoy2021dynamic,

title = {DAS: Dynamic Adaptive Scheduling for Energy-Efficient Heterogeneous SoCs},

author = {Goksoy, A Alper and Krishnakumar, Anish and Hassan, Md Sahil and Farcas, Allen J and Akoglu, Ali and Marculescu, Radu and Ogras, Umit Y},

url = {https://ieeexplore.ieee.org/abstract/document/9530260?casa_token=QhjsMuVll3gAAAAA:ny9VWrxvQJ14fqU8GW5wmOMziE8xKS6aqbET4nVLd86Qzbc0tYfH_eGijAsm-tLwLqFf3kWqbA},

doi = {10.1109/LES.2021.3110426},

year  = {2021},

date = {2021-09-06},

journal = {IEEE Embedded Systems Letters},

keywords = {Embedded Systems, Systems},

pubstate = {published},

tppubtype = {article}

}

@article{9211494,

title = {Runtime Task Scheduling Using Imitation Learning for Heterogeneous Many-Core Systems},

author = {A. {Krishnakumar} and S. E. {Arda} and A. A. {Goksoy} and S. K. {Mandal} and U. Y. {Ogras} and A. L. {Sartor} and R. {Marculescu}},

url = {https://ieeexplore.ieee.org/document/9211494},

doi = {10.1109/TCAD.2020.3012861},

year  = {2020},

date = {2020-10-02},

urldate = {2020-10-02},

journal = {IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems},

volume = {39},

number = {11},

pages = {4064-4077},

keywords = {Embedded Systems, Featured, Systems},

pubstate = {published},

tppubtype = {article}

}

@article{arda2020ds3,

title = {DS3: A system-level domain-specific system-on-chip simulation framework},

author = {Samet Arda and NK Anish and Ahmet Alper Goksoy and Joshua Mack and Nirmal Kumbhare and Anderson Luiz Sartor and Ali Akoglu and Radu Marculescu and Umit Y Ogras},

url = {https://arxiv.org/abs/2003.09016},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {IEEE Transactions on Computers},

publisher = {IEEE},

keywords = {Embedded Systems, SmallNoC, Systems},

pubstate = {published},

tppubtype = {article}

}

@article{chen2020fedmax,

title = {FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning},

author = {Wei Chen and Kartikeya Bhardwaj and Radu Marculescu},

url = {https://arxiv.org/abs/2004.03657},

year  = {2020},

date = {2020-01-01},

journal = {The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) },

keywords = {Edge AI, Federated Learning},

pubstate = {published},

tppubtype = {article}

}

@article{topirceanu2020centralized,

title = {Centralized and decentralized isolation strategies and their impact on the COVID-19 pandemic dynamics},

author = {Alexandru Topirceanu and Mihai Udrescu and Radu Marculescu},

url = {https://arxiv.org/pdf/2004.04222},

year  = {2020},

date = {2020-01-01},

journal = {arXiv preprint arXiv:2004.04222},

keywords = {Epidemics, Networks},

pubstate = {published},

tppubtype = {article}

}

@article{sartor2020hilite,

title = {HiLITE: Hierarchical and Lightweight Imitation Learning for Power Management of Embedded SoCs},

author = {Anderson L Sartor and Anish Krishnakumar and Samet E Arda and Umit Y Ogras and Radu Marculescu},

url = {https://ieeexplore.ieee.org/document/9085952},

year  = {2020},

date = {2020-01-01},

journal = {IEEE Computer Architecture Letters},

volume = {19},

number = {1},

pages = {63--67},

publisher = {IEEE},

keywords = {Embedded Systems, Systems},

pubstate = {published},

tppubtype = {article}

}

@article{krishnakumar2020runtime,

title = {Runtime Task Scheduling using Imitation Learning for Heterogeneous Many-Core Systems},

author = {Anish Krishnakumar and Samet E Arda and Alper A Goksoy and Sumit K Mandal and Umit Y Ogras and Anderson L Sartor and Radu Marculescu},

url = {https://arxiv.org/abs/2007.09361},

year  = {2020},

date = {2020-01-01},

journal = {arXiv preprint arXiv:2007.09361},

keywords = {Embedded Systems, Systems},

pubstate = {published},

tppubtype = {article}

}

@article{bhardwaj2020new,

title = {New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design},

author = {Kartikeya Bhardwaj and Wei Chen and Radu Marculescu},

url = {https://arxiv.org/pdf/2008.10805},

year  = {2020},

date = {2020-01-01},

journal = {arXiv preprint arXiv:2008.10805},

keywords = {Edge AI, Internet of Things},

pubstate = {published},

tppubtype = {article}

}

@article{bogdan20201,

title = {From Physical Processes to Theoretical Foundations of Cyber-Physical Systems Design and Optimization},

author = {Paul Bogdan and Radu Marculescu},

url = {https://books.google.com/books?hl=en\&lr=\&id=2UUBEAAAQBAJ\&oi=fnd\&pg=PA3\&dq=From+Physical+Processes+to+Theoretical+Foundations+of+Cyber-Physical+Systems+Design+and+Optimization\&ots=MR0VdHIMSA\&sig=vJz2eqBCDO8PDd6a2QEAQpKLyig#v=onepage\&q=From%20Physical%20Processes%20to%20Theoretical%20Foundations%20of%20Cyber-Physical%20Systems%20Design%20and%20Optimization\&f=false},

year  = {2020},

date = {2020-01-01},

journal = {Principles of Cyber-Physical Systems: An Interdisciplinary Approach},

pages = {3},

publisher = {Cambridge University Press},

keywords = {Cyber-Physical Systems, Systems},

pubstate = {published},

tppubtype = {article}

}

@article{lo2019metann,

title = {MetaNN: accurate classification of host phenotypes from metagenomic data using neural networks},

author = {Chieh Lo and Radu Marculescu},

url = {https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2833-2},

year  = {2019},

date = {2019-01-01},

journal = {Bmc Bioinformatics},

volume = {20},

number = {12},

pages = {314},

publisher = {BioMed Central},

keywords = {Biological Networks, Networks},

pubstate = {published},

tppubtype = {article}

}

@article{bhardwaj2019dream,

title = {Dream distillation: A data-independent model compression framework},

author = {Kartikeya Bhardwaj and Naveen Suda and Radu Marculescu},

url = {https://arxiv.org/abs/1905.07072},

year  = {2019},

date = {2019-01-01},

journal = {arXiv preprint arXiv:1905.07072},

keywords = {Edge AI, Model Compression \& Optimization},

pubstate = {published},

tppubtype = {article}

}

@article{bhardwaj2019memory,

title = {Memory-and communication-aware model compression for distributed deep learning inference on iot},

author = {Kartikeya Bhardwaj and Ching-Yi Lin and Anderson Sartor and Radu Marculescu},

url = {https://arxiv.org/abs/1907.11804},

year  = {2019},

date = {2019-01-01},

journal = {ACM Transactions on Embedded Computing Systems (TECS)},

volume = {18},

number = {5s},

pages = {1--22},

publisher = {ACM New York, NY, USA},

keywords = {Edge AI, Featured, Model Compression \& Optimization, Networks},

pubstate = {published},

tppubtype = {article}

}

@article{bhardwaj2019edgeai,

title = {EdgeAI: A Vision for Deep Learning in IoT Era},

author = {Kartikeya Bhardwaj and Naveen Suda and Radu Marculescu},

url = {https://arxiv.org/abs/1910.10356},

year  = {2019},

date = {2019-01-01},

journal = {IEEE Design \& Test},

publisher = {IEEE},

keywords = {Edge AI, Internet of Things},

pubstate = {published},

tppubtype = {article}

}

@article{kim2018machine,

title = {Machine learning and manycore systems design: A serendipitous symbiosis},

author = {Ryan Gary Kim and Janardhan Rao Doppa and Partha Pratim Pande and Diana Marculescu and Radu Marculescu},

url = {https://arxiv.org/abs/1712.00076},

year  = {2018},

date = {2018-01-01},

journal = {Computer},

volume = {51},

number = {7},

pages = {66--77},

publisher = {IEEE},

keywords = {Embedded Systems, Systems},

pubstate = {published},

tppubtype = {article}

}

@article{topirceanu2018weighted,

title = {Weighted betweenness preferential attachment: A new mechanism explaining social network formation and evolution},

author = {Alexandru Topirceanu and Mihai Udrescu and Radu Marculescu},

url = {https://www.nature.com/articles/s41598-018-29224-w},

year  = {2018},

date = {2018-01-01},

journal = {Scientific reports},

volume = {8},

number = {1},

pages = {1--14},

publisher = {Nature Publishing Group},

keywords = {Networks, Social Networks},

pubstate = {published},

tppubtype = {article}

}

@article{lo2018pglasso,

title = {PGLasso: Microbial Community Detection through Phylogenetic Graphical Lasso},

author = {Chieh Lo and Radu Marculescu},

url = {https://arxiv.org/abs/1807.08039},

year  = {2018},

date = {2018-01-01},

journal = {arXiv preprint arXiv:1807.08039},

keywords = {Biological Networks, Networks},

pubstate = {published},

tppubtype = {article}

}

@article{stanley2018modeling,

title = {Modeling computational, sensing, and actuation surfaces},

author = {Phillip Stanley-Marbell and Diana Marculescu and Radu Marculescu and Pradeep K Khosla},

url = {https://www.researchgate.net/publication/329321383_Modeling_Computational_Sensing_and_Actuation_Surfaces},

year  = {2018},

date = {2018-01-01},

journal = {Low-Power Processors and Systems on Chips},

pages = {16--1},

publisher = {CRC Press},

keywords = {Networks},

pubstate = {published},

tppubtype = {article}

}