| 2024 | Resource-Aware Heterogeneous Federated Learning with Specialized Local Models. | Sixing Yu, J. Pablo Muoz, Ali Jannesari |
| 2024 | EKRM: Efficient Key-Value Retrieval Method to Reduce Data Lookup Overhead for Redis. | Yiming Yao, Xiaolin Wang, Diyu Zhou, Liujia Li, Jianyu Wu, Liren Zhu, Zhenlin Wang, Yingwei Luo |
| 2024 | Node Bundle Scheduling: An Ultra-low Latency Traffic Scheduling Algorithm for TAS-Based Time-Sensitive Networks. | Qian Yang, Xuyan Jiang, Wei Quan, Rulin Liu, Zhigang Sun |
| 2024 | Deadline-Driven Enhancements and Response Time Analysis of ROS2 Multi-threaded Executors. | Zhengda Wu, Yixiao Feng, Mingtai Lv, Sining Yang, Bo Zhang |
| 2024 | A Fast Wait-Free Solution to Read-Reclaim Races in Reference Counting. | Ivo Gabe de Wolff, Daniel Anderson, Gabriele K. Keller, Aleksei Seletskiy |
| 2024 | LogRCA: Log-Based Root Cause Analysis for Distributed Services. | Thorsten Wittkopp, Philipp Wiesner, Odej Kao |
| 2024 | Variational Quantum Eigensolver for Classification in Distributed Data Sets. | Joanna Wisniewska, Marek Sawerwain |
| 2024 | Understanding the Impact of OpenPMD on BIT1, a Particle-in-Cell Monte Carlo Code, Through Instrumentation, Monitoring, and In-Situ Analysis. | Jeremy J. Williams, Stefan Costea, Allen D. Malony, David Tskhakaya, Leon Kos, Ales Podolnik, Jakub Hromadka, Kevin A. Huck, Erwin Laure, Stefano Markidis |
| 2024 | Evaluation of Multi-armed Bandit Algorithms for Efficient Resource Allocation in Edge Platforms. | Jiangbo Wang, Stphane Zuckerman, Juan ngel Lorenzo del Castillo |
| 2024 | A Folded Computation-in-Memory Accelerator for Fast Polynomial Multiplication in BIKE. | Chuhui Wang, Zewen Ye, Haibin Shen, Kejie Huang |
| 2024 | FakeGuard: Novel Architecture Support for Deepfake Detection Networks. | Xingbin Wang, Dan Meng, Rui Hou, Yan Wang |
| 2024 | PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds. | Yuandou Wang, Neel Kanwal, Kjersti Engan, Chunming Rong, Paola Grosso, Zhiming Zhao |
| 2024 | Asymmetric Coded Distributed Computation for Resilient Prediction Serving Systems. | Lin Wang, Yuchong Hu, Yuxue Liu, Renzhi Xiao, Dan Feng |
| 2024 | A Novel Efficient Maximum Searching Algorithm in ReRAM Array. | Wenqing Wang, Ziming Chen, Quan Deng, Liang Fang |
| 2024 | Towards the Quantification of Performance Isolation in HPC. | Simon Volpert, Stefan Wesner |
| 2024 | Evolving Deep Learning Techniques for Disease Diagnosis Support Using Medical Imaging. | Lara Visua, Francisco Javier Garca Blas, Jess Carretero |
| 2024 | Mapping Code on Coarse Grained Reconfigurable Arrays Using a SAT Solver. | Cristian Tirelli, Laura Pozzi |
| 2024 | Extending Polygeist to Generate OpenMP SIMD and GPU MLIR Code. | Arun Thangamani, Vincent Loechner, Stphane Genaud |
| 2024 | GPU Cache System for COMPSs: A Task-Based Distributed Computing Framework. | Cristian Catalin Tatu, Javier Conejero, Fernando Vzquez-Novoa, Rosa M. Badia |
| 2024 | ImSPU: Implicit Sharing of Computation Resources Between Vector and Scalar Processing Units. | Hongbing Tan, Xiaowei He, Guichu Sun, Liquan Xiao, Yuanhu Cheng, Jing Zhang, Zhong Zheng, Quan Deng, Bingcai Sui, Yongwen Wang, Libo Huang |
| 2024 | Towards High-performance Transactions via Hierarchical Blockchain Sharding. | Haibo Tang, Huan Zhang, Zhenyu Zhang, Zhao Zhang, Cheqing Jin, Aoying Zhou |
| 2024 | Containerization for Heterogeneous and Hybrid Parallelism. | Daniel Surez, Francisco Almeida, Vicente Blanco, Pedro A. Toledo |
| 2024 | A HPX Communication Benchmark: Distributed FFT Using Collectives. | Alexander Strack, Dirk Pflger |
| 2024 | A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning. | Jiajun Song, Jiajun Luo, Rongwei Lu, Shuzhao Xie, Bin Chen, Zhi Wang |
| 2024 | A Framework for Automated Parallel Execution of Scientific Multi-workflow Applications in the Cloud with Work Stealing. | Helena S. Silva, Maria Clicia Stelling de Castro, Fabrcio A. B. da Silva, Alba C. M. A. Melo |