| 2023 | MMExit: Enabling Fast and Efficient Multi-modal DNN Inference with Adaptive Network Exits. | Xiaofeng Hou, Jiacheng Liu, Xuehan Tang, Chao Li, Kwang-Ting Cheng, Li Li, Minyi Guo |
| 2023 | MESDD: A Distributed Geofence-Based Discovery Method for the Computing Continuum. | Kurt Horvath, Dragi Kimovski, Christoph Uran, Helmut Wllik, Radu Prodan |
| 2023 | Enhancing Performance Monitoring in C/C++ Programs with EDPM: A Domain-Specific Language for Performance Monitoring. | David Weisskopf Holmqvist, Suejb Memeti |
| 2023 | Making Uintah Performance Portable for Department of Energy Exascale Testbeds. | John K. Holmen, Marta Garca, Abhishek Bagusetty, Allen Sanderson, Martin Berzins |
| 2023 | SymED: Adaptive and Online Symbolic Representation of Data on the Edge. | Daniel Hofsttter, Shashikant Ilager, Ivan Lujic, Ivona Brandic |
| 2023 | Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case. | Sabrina Herbst, Vincenzo De Maio, Ivona Brandic |
| 2023 | Leveraging MLIR for Loop Vectorization and GPU Porting of FFT Libraries. | Yifei He, Artur Podobas, Stefano Markidis |
| 2023 | An Approach to Performance Portability Through Generic Programming. | Andreas Hadjigeorgiou, Christodoulos Stylianou, Michle Weiland, Dirk Jacob Verschuur, Jacob Finkenrath |
| 2023 | An Algorithm for Tunable Memory Compression of Time-Based Windows for Stream Aggregates. | Vincenzo Gulisano |
| 2023 | Improved Algorithms for Monotone Moldable Job Scheduling Using Compression and Convolution. | Kilian Grage, Klaus Jansen, Felix Ohnesorge |
| 2023 | BDDC Preconditioning on GPUs for Cardiac Simulations. | Fritz Gbel, Terry Cojean, Hartwig Anzt |
| 2023 | MTCL: A Multi-transport Communication Library. | Federico Finocchio, Nicol Tonci, Massimo Torquati |
| 2023 | Malleable APGAS Programs and Their Support in Batch Job Schedulers. | Patrick Finnerty, Leo Takaoka, Takuma Kanzaki, Jonas Posner |
| 2023 | Designing a Sustainable Serverless Graph Processing Tool on the Computing Continuum. | Reza Farahani, Sashko Ristov, Radu Prodan |
| 2023 | Improving Utilization of Dataflow Architectures Through Software and Hardware Co-Design. | Zhihua Fan, Wenming Li, Shengzhong Tang, Xuejun An, Xiaochun Ye, Dongrui Fan |
| 2023 | Energy Efficiency Impact of Processing in Memory: A Comprehensive Review of Workloads on the UPMEM Architecture. | Yann Falevoz, Julien Legriel |
| 2023 | Latency-Aware Placement of Stream Processing Operators. | Raphael Ecker, Vasileios Karagiannis, Michael Sober, Elmira Ebrahimi, Stefan Schulte |
| 2023 | Benchmarking the Parallel 1D Heat Equation Solver in Chapel, Charm++, C++, HPX, Go, Julia, Python, Rust, Swift, and Java. | Patrick Diehl, Max Morris, Steven R. Brandt, Nikunj Gupta, Hartmut Kaiser |
| 2023 | Distributed k-Means with Outliers in General Metrics. | Enrico Dandolo, Andrea Pietracaprina, Geppino Pucci |
| 2023 | Sparse-Aware CARM: Rooflining Locality of Sparse Computations. | Afonso Coutinho, Diogo Marques, Leonel Sousa, Aleksandar Ilic |
| 2023 | FedCML: Federated Clustering Mutual Learning with non-IID Data. | Zekai Chen, Fuyi Wang, Shengxing Yu, Ximeng Liu, Zhiwei Zheng |
| 2023 | Auto-Divide GNN: Accelerating GNN Training with Subgraph Division. | Hongyu Chen, Zhejiang Ran, Keshi Ge, Zhiquan Lai, Jingfei Jiang, Dongsheng Li |
| 2023 | Adaptive HPC Input/Output Systems. | Jess Carretero, Javier Garca Blas, Andr Brinkmann, Marc-Andre Vef, Jean-Baptiste Besnard, Massimo Torquati, Yi Ju, Raffaele Montella |
| 2023 | ExaNBody: A HPC Framework for N-Body Applications. | Thierry Carrard, Raphal Prat, Guillaume Latu, Killian Babilotte, Paul Lafourcade, Lhassan Amarsid, Laurent Soulard |
| 2023 | Assessing Power Needs to Run a Workload with Quality of Service on Green Datacenters. | Louis-Claude Canon, Damien Landr, Laurent Philippe, Jean-Marc Pierson, Paul Renaud-Goud |