| 2023 | Accelerating Drug Discovery in AutoDock-GPU with Tensor Cores. | Gabin Schieffer, Ivy Bo Peng |
| 2023 | Distributed Deep Multilevel Graph Partitioning. | Peter Sanders, Daniel Seemaier |
| 2023 | An Efficient Parallel Adaptive GMG Solver for Large-Scale Stokes Problems. | Seyed Saberi, Gnther Meschke, Andreas Vogel |
| 2023 | A Performance Modelling-Driven Approach to Hardware Resource Scaling. | Alexandre Rodrigues, Leonel Sousa, Aleksandar Ilic |
| 2023 | Fault-Aware Group-Collective Communication Creation and Repair in MPI. | Roberto Rocco, Gianluca Palermo |
| 2023 | Path Plan Optimisation for UAV Assisted Data Collection in Large Areas. | Ruben Enrique Padilla Robles, Rizos Sakellariou |
| 2023 | Task-Level Checkpointing for Nested Fork-Join Programs Using Work Stealing. | Mia Reitz, Claudia Fohry |
| 2023 | A Performance Analysis of Leading Many-Core Technologies for Cellular Automata Execution. | Alessio De Rango, Donato D'Ambrosio, Alfonso Senatore, Giuseppe Mendicino, Kumudha Narasimhan, Mehdi Goli, Rod Burns |
| 2023 | The Implementation of Battery Charging Strategy for IoT Nodes. | Petar Rajkovic, Dejan Aleksic, Dragan Jankovic |
| 2023 | Enhancing Supercomputer Performance with Malleable Job Scheduling Strategies. | Jonas Posner, Fabian Hupfeld, Patrick Finnerty |
| 2023 | Performance Prediction for Sparse Matrix Vector Multiplication Using Structure-Dependent Features. | Konstantin Pogorelov, James D. Trotter, Johannes Langguth |
| 2023 | DAG-Based Efficient Parallel Scheduler for Blockchains: Hyperledger Sawtooth as a Case Study. | Manaswini Piduguralla, Saheli Chakraborty, Parwat Singh Anjana, Sathya Peri |
| 2023 | Scalable and Efficient Architecture for Random Forest on FPGA-Based Edge Computing. | Cuong Pham-Quoc |
| 2023 | OpenCUBE: Building an Open Source Cloud Blueprint with EPI Systems. | Ivy Peng, Martin Schulz, Utz-Uwe Haus, Craig Prunty, Pedro Marcuello, Emanuele Danovaro, Gabin Schieffer, Jacob Wahlgren, Daniel Medeiros, Philipp Friese, Stefano Markidis |
| 2023 | FedGM: Heterogeneous Federated Learning via Generative Learning and Mutual Distillation. | Chao Peng, Yiming Guo, Yao Chen, Qilin Rui, Zhengfeng Yang, Chenyang Xu |
| 2023 | subMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment. | Zeyneddin Oz, Ceylan Soygul Oz, Abdollah Malekjafarian, Nima Afraz, Fatemeh Golpayegani |
| 2023 | Compute Continuum: What Lies Ahead? | Matteo Nardelli, Gabriele Russo Russo, Valeria Cardellini |
| 2023 | Exploring Factors Impacting Data Offloading Performance in Edge and Cloud Environments. | Gap-Joo Na, Youngwoo Jang, Harin Seo, Byungchul Tak, Young-Kyoon Suh |
| 2023 | perun: Benchmarking Energy Consumption of High-Performance Computing Applications. | Juan Pedro Gutirrez H. Muriedas, Katharina Flgel, Charlotte Debus, Holger Obermaier, Achim Streit, Markus Gtz |
| 2023 | Towards a Scalable Compute Continuum Platform Applied to Electrical Energy Forecasting. | Mohamad Moussa, Nabil Abdennahder, Raphal Couturier, Giovanna Di Marzo Serugendo |
| 2023 | A Look at Performance and Scalability of the GPU Accelerated Sparse Linear System Solver Spliss. | Jasmin Mohnke, Michael Wagner |
| 2023 | Model-Agnostic Federated Learning. | Gianluca Mittone, Walter Riviera, Iacopo Colonnelli, Robert Birke, Marco Aldinucci |
| 2023 | Efficiently Distributed Federated Learning. | Gianluca Mittone, Robert Birke, Marco Aldinucci |
| 2023 | Dynamic Allocations in a Hierarchical Parallel Context - A Study on Performance, Memory Footprint, and Portability Using SYCL. | Aymeric Millan, Thomas Padioleau, Julien Bigot |
| 2023 | BitHist: A Precision-Scalable Sparse-Awareness DNN Accelerator Based on Bit Slices Products Histogram. | Zhaoteng Meng, Long Xiao, Xiaoyao Gao, Zhan Li, Lin Shu, Jie Hao |