| 2023 | A flexible dataflow CNN accelerator on FPGA. | Haoran Li, Lei Gong, Chao Wang, Xuehai Zhou |
| 2023 | How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface. | Fabian Lehmann, Jonathan Bader, Friedrich Tschirpke, Lauritz Thamsen, Ulf Leser |
| 2023 | A Case Study of Data Management Challenges Presented in Large-Scale Machine Learning Workflows. | Claire Songhyun Lee, V. Hewes, Giuseppe Cerati, Jim Kowalkowski, Adam Aurisano, Ankit Agrawal, Alok N. Choudhary, Wei-Keng Liao |
| 2023 | HeROfake: Heterogeneous Resources Orchestration in a Serverless Cloud - An Application to Deepfake Detection. | Vincent Lannurien, Laurent d'Orazio, Olivier Barais, Esther Bernard, Olivier Weppe, Laurent Beaulieu, Amine Kacete, Stphane Paquelet, Jalil Boukhobza |
| 2023 | Privacy Regulations-Aware Storage Service Selection in Multi-Cloud. | Rishabh Kumar, Pankaj Sahu, Shubhro Roy, Sutapa Mondal, Mangesh S. Gharote, Sachin Lodha |
| 2023 | On the timing of applying resource separation during DDoS attacks. | Anmol Kumar, Gaurav Somani |
| 2023 | AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations. | Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman |
| 2023 | AggFirstJoin: Optimizing Geo-Distributed Joins using Aggregation-Based Transformations. | Dhruv Kumar, Sohaib Ahmad, Abhishek Chandra, Ramesh K. Sitaraman |
| 2023 | To Think Like a Vertex (or Not) for Distributed Training of Graph Neural Networks. | Varad Kulkarni, Akarsh Chaturvedi, Pranjal Naman, Yogesh Simmhan |
| 2023 | Enhancing Interval-centric Distributed Computing to Support Incremental Graphs. | Varad Kulkarni, Ruchi Bhoot, Animesh Baranawal, Yogesh Simmhan |
| 2023 | Serverless Approach to Sensitivity Analysis of Computational Models. | Piotr Kica, Magdalena Otta, Krzysztof Czechowicz, Karol Zajac, Piotr Nowakowski, Andrew J. Narracott, Ian Halliday, Maciej Malawski |
| 2023 | Towards Efficient Scheduling of Concurrent DNN Training and Inferencing on Accelerated Edges. | Prashanthi S. K, Vinayaka Hegde, Yogesh Simmhan |
| 2023 | XFaaS: Cross-platform Orchestration of FaaS Workflows on Hybrid Clouds. | Aakash Khochare, Tuhin Khare, Varad Kulkarni, Yogesh Simmhan |
| 2023 | Deep Learning based Approach for Fast, Effective Visualization of Voluminous Gridded Spatial Observations. | Paahuni Khandelwal, Menuka Warushavithana, Sangmi Lee Pallickara, Shrideep Pallickara |
| 2023 | Enabling Fast, Effective Visualization of Voluminous Gridded Spatial Datasets. | Paahuni Khandelwal, Menuka Warushavithana, Sangmi Lee Pallickara, Shrideep Pallickara |
| 2023 | ParaDiS: a Parallel and Distributed framework for Significant pattern mining. | Jyoti, Sriram Kailasam, Aleksey Buzmakov |
| 2023 | An experimental comparison of software-based power meters: focus on CPU and GPU. | Mathilde Jay, Vladimir Ostapenco, Laurent Lefvre, Denis Trystram, Anne-Ccile Orgerie, Benjamin Fichel |
| 2023 | Cognitive Health Assessment of Decentralized Smart home Activities using Federated Learning. | Abdul Rehman Javed, Jerry Chun-Wei Lin, Gautam Srivastava |
| 2023 | The SPEC-RG Reference Architecture for The Compute Continuum. | Matthijs Jansen, Auday Al-Dulaimy, Alessandro V. Papadopoulos, Animesh Trivedi, Alexandru Iosup |
| 2023 | A Lightweight, Mobility-Aware, Geospatial & Temporal Data Store for Multi-UAV Systems. | Shashwat Jaiswal, Suman Raj, Subhajit Sidhanta, Yogesh Simmhan |
| 2023 | A Cloud-Fog Architecture for Video Analytics on Large Scale Camera Networks Using Semantic Scene Analysis. | Kunal Jain, Kishan Sairam Adapa, Kunwar Grover, Ravi Kiran Sarvadevabhatla, Suresh Purini |
| 2023 | Microservice-based in-network security framework for FPGA NICs. | Lasani Hussain, Mayank Rawat, Neeraj Kumar Yadav, Sumit Darak, Praveen Tammana, Rinku Shah |
| 2023 | Towards Improving Reverse Time Migration Performance by High-speed Lossy Compression. | Yafan Huang, Kai Zhao, Sheng Di, Guanpeng Li, Maxim Dmitriev, Thierry-Laurent D. Tonellot, Franck Cappello |
| 2023 | Measuring the Impact of Gradient Accumulation on Cloud-based Distributed Training. | Zimeng Huang, Bo Jiang, Tian Guo, Yunzhuo Liu |
| 2023 | COUNSEL: Cloud Resource Configuration Management using Deep Reinforcement Learning. | Adithya Hegde, Sameer G. Kulkarni, Abhinandan S. Prasad |