| 2023 | CCGRID 2023: A Holistic Approach to Inclusion and Belonging. | Beth Plale, Preeti Malakar, Meenakshi D'Souza, Hemangee K. Kapoor, Yogesh Simmhan, Ilkay Altintas, Manohar Swaminathan |
| 2023 | MUAR: Maximizing Utilization of Available Resources for Query Processing. | Mayank Patel, Minal Bhise |
| 2023 | hsSpMV: A Heterogeneous and SPM-aggregated SpMV for SW26010-Pro many-core processor. | Jingshan Pan, Lei Xiao, Min Tian, Li Wang, Chaochao Yang, Renjiang Chen, Zenghui Ren, Anjun Liu, Guanghui Zhu |
| 2023 | Sparse-HeteroCL: From Sparse Tensor Algebra to Highly Customized Accelerators on FPGAs. | Jize Pang, Lei Gong, Chao Wang, Xuehai Zhou |
| 2023 | Optimizing Memory Allocation in a Serverless Architecture through Function Scheduling. | Manish Pandey, Young-Woo Kwon |
| 2023 | Accelerating Hybrid DFT Simulations Using Performance Modeling on Supercomputers. | Yosuke Oyama, Takumi Honda, Atsushi Ishikawa, Koichi Shirahata |
| 2023 | Layercake: Efficient Inference Serving with Cloud and Mobile Resources. | Samuel S. Ogden, Tian Guo |
| 2023 | An Optical Transceiver Reliability Study based on SFP Monitoring and OS-level Metric Data. | Paolo Notaro, Qiao Yu, Soroush Haeri, Jorge Cardoso, Michael Gerndt |
| 2023 | CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization. | Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen, Thanh-Hung Nguyen, Huy Hieu Pham, Truong Thao Nguyen, Phi Le Nguyen |
| 2023 | Toward Next-Generation Distributed Rate-limiters. | Iram Nawab, Sameer G. Kulkarni |
| 2023 | Predicting the Performance-Cost Trade-off of Applications Across Multiple Systems. | Amir Nassereldine, Safaa Diab, Mohammed Baydoun, Kenneth Leach, Maxim Alt, Dejan S. Milojicic, Izzat El Hajj |
| 2023 | Performance Modelling of Graph Neural Networks. | Pranjal Naman, Yogesh Simmhan |
| 2023 | CacheIn: A Secure Distributed Multi-layer Mobility-Assisted Edge Intelligence based Caching for Internet of Vehicles. | Ankur Nahar, Himani Sikarwar, Sanyam Jain, Debasis Das |
| 2023 | AI-Powered Interfaces for Extended Reality to Support Remote Maintenance. | kos Nagy, George Amponis, Konstantinos Kyranou, Thomas Lagkas, Alexandros-Apostolos A. Boulogeorgos, Panagiotis G. Sarigiannidis, Vasileios Argyriou |
| 2023 | Edge Computing Solutions Supporting Voice Recognition Services for Speakers with Dysarthria. | Davide Mulfari, Lorenzo Carnevale, Antonino Galletta, Massimo Villari |
| 2023 | Securing Serverless Workflows on the Cloud Edge Continuum. | Gabriele Morabito, Christian Sicari, Lorenzo Carnevale, Antonino Galletta, Giuseppe Di Modica, Massimo Villari |
| 2023 | Balancing Computation and Communication in Distributed Sparse Matrix-Vector Multiplication. | Hongli Mi, Xiangrui Yu, Xiaosong Yu, Shuangyuan Wu, Weifeng Liu |
| 2023 | Distributed and Dependable Software-Defined Storage Control Plane for HPC. | Mariana Miranda |
| 2023 | Chronica: A Data-Imbalance-Aware Scheduler for Distributed Deep Learning. | Sanha Maeng, Gordon Euhyun Moon, Sungyong Park |
| 2023 | Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control. | Ricardo Macedo, Mariana Miranda, Yusuke Tanimura, Jason Haga, Amit Ruhela, Stephen Lien Harrell, Richard Todd Evans, Jos Pereira, Joo Paulo |
| 2023 | A Deep Learning Pipeline Parallel Optimization Method. | Tiantian Lv, Lu Wu, Zhigang Zhao, Chunxiao Wang, Chuantao Li |
| 2023 | Knowledge Enhanced Digital Objects: a Data Lake Approach. | Yu Luo, Beth Plale |
| 2023 | Gateway-Based Certification Approach to Include IoT Nodes in a Trusted Edge/Cloud Environment. | Valeria Lukaj, Francesco Martella, Maria Fazio, Antonino Galletta, Antonio Celesti, Massimo Villari |
| 2023 | Transformer Inference Acceleration in Edge Computing Environment. | Mingchu Li, Wenteng Zhang, Dexin Xia |
| 2023 | FreeTrain: A Framework to Utilize Unused Supercomputer Nodes for Training Neural Networks. | Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka, Ian T. Foster |