| 2021 | Latency Preserving Self-optimizing Placement at the Edge. | Luca Ferrucci, Matteo Mordacchini, Massimo Coppola, Emanuele Carlini, Hanna Kavalionak, Patrizio Dazzi |
| 2021 | Collaborative Visual Environments for Evidence Taking in Digital Justice: A Design Concept. | Ugo Erra, Nicola Capece, Nicola Lettieri, Ernesto Fabiani, Francesco Banterle, Paolo Cignoni, Patrizio Dazzi, Jacopo Aleotti, Riccardo Monica |
| 2021 | Machine Learning Augmented Hybrid Memory Management. | Thaleia Dimitra Doudali, Ada Gavrilovska |
| 2021 | Achieving Scalable Consensus by Being Less Writey. | Michael Davis, Hans Vandierendonck |
| 2021 | Towards a Federated Learning Approach for Privacy-aware Analysis of Semantically Enriched Mobility Data. | Zaineb Chelly Dagdia, Chiara Renso, Karine Zeitouni, Nazim Agoulmine |
| 2021 | Analyzing Scientific Data Sharing Patterns for In-network Data Caching. | Elizabeth Copps, Huiyi Zhang, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Wrthwein, Diego Davila, Edgar Fajardo Hernandez |
| 2021 | A Methodological Perspective on Lawful Internet Surveillance. | Massimo Coppola, Mauro Iacono, Mauro Migliardi, Francesco Palmieri |
| 2021 | Recent Advances and Future Challenges for Network Function Virtualization Infrastructure. | Jerry Chou |
| 2021 | CharminG: A Scalable GPU-resident Runtime System. | Jaemin Choi, David F. Richards, Laxmikant V. Kal |
| 2021 | SLA-aware Workload Scheduling Using Hybrid Cloud Services. | Dheeraj Chahal, Surya Palepu, Mayank Mishra, Rekha Singhal |
| 2021 | Productive Programming of Distributed Systems with the SHAD C++ Library. | Vito Giovanni Castellana, Marco Minutoli |
| 2021 | Cloud and Data Federation in MobiDataLab. | Emanuele Carlini, Patrizio Dazzi, Francesco Lettich, Raffaele Perego, Chiara Renso |
| 2021 | An Osmotic Ecosystem for Data Streaming Applications in Smart Cities. | Emanuele Carlini, Lorenzo Carnevale, Massimo Coppola, Patrizio Dazzi, Gabriele Mencagli, Domenico Talia, Massimo Villari |
| 2021 | Expanding Cost-Aware Function Execution with Multidimensional Notions of Cost. | Matt Baughman, Rohan Kumar, Ian T. Foster, Kyle Chard |
| 2021 | Superscalar Programming Models: A Perspective from Barcelona. | Rosa M. Badia |
| 2021 | Hardware Specialization for Distributed Computing. | Gustavo Alonso |
| 2021 | File System Semantics Requirements of HPC Applications. | Chen Wang, Kathryn Mohror, Marc Snir |
| 2021 | DRLPart: A Deep Reinforcement Learning Framework for Optimally Efficient and Robust Resource Partitioning on Commodity Servers. | Ruobing Chen, Jinping Wu, Haosen Shi, Yusen Li, Xiaoguang Liu, Gang Wang |
| 2020 | RECANS: Low-Latency Network Function Chains with Hierarchical State Sharing. | Jian Zhao, Shujun Zhuang, Jian Li, Haibing Guan |
| 2020 | Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization. | Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Zizhong Chen, Franck Cappello |
| 2020 | High Accuracy Matrix Computations on Neural Engines: A Study of QR Factorization and its Applications. | Shaoshuai Zhang, Elaheh Baharlouei, Panruo Wu |
| 2020 | KubeShare: A Framework to Manage GPUs as First-Class and Shared Resources in Container Cloud. | Ting-An Yeh, Hung-Hsin Chen, Jerry Chou |
| 2020 | Efficient GPU Memory Management for Nonlinear DNNs. | Donglin Yang, Dazhao Cheng |
| 2020 | Learning Networking by Reproducing Research Results. | Lisa Yan |
| 2020 | FFT-based Gradient Sparsification for the Distributed Training of Deep Neural Networks. | Linnan Wang, Wei Wu, Junyu Zhang, Hang Liu, George Bosilca, Maurice Herlihy, Rodrigo Fonseca |