| 2024 | Seamless HW-accelerated AI serving in heterogeneous MEC Systems with AI@EDGE. | Achilleas Tzenetopoulos, George Lentaris, Aimilios Leftheriotis, Panos Chrysomeris, Javier Palomares, Estefana Coronado, Raman Kazhamiakin, Dimitrios Soudris |
| 2024 | FPBOXer: Efficient Input-Generation for Targeting Floating-Point Exceptions in GPU Programs. | Anh Tran, Ignacio Laguna, Ganesh Gopalakrishnan |
| 2024 | A runtime infrastructure for the Continuum of Computing. | Edoardo Tinto, Tullio Vardanega |
| 2024 | Fast, Accurate and Distributed Simulation of novel HPC systems incorporating ARM and RISC-V CPUs. | Nikolaos Tampouratzis, Ioannis Papaefstathiou |
| 2024 | Programming Tools for High-Performance Data Analysis. | Domenico Talia, Paolo Trunfio |
| 2024 | ScaleDFS: Accelerating Decentralized and Private File Sharing via Scaling Directed Acyclic Graph Processing. | Mansub Song, Lan Anh Nguyen, Sunggon Kim, Hyeonsang Eom, Yongseok Son |
| 2024 | CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2. | Shihui Song, Yafan Huang, Peng Jiang, Xiaodong Yu, Weijian Zheng, Sheng Di, Qinglei Cao, Yunhe Feng, Zhen Xie, Franck Cappello |
| 2024 | A Portable, Fast, DCT-based Compressor for AI Accelerators. | Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello |
| 2024 | Accelerating Function-Centric Applications by Discovering, Distributing, and Retaining Reusable Context in Workflow Systems. | Thanh Son Phung, Colin Thomas, Logan T. Ward, Kyle Chard, Douglas Thain |
| 2024 | Techniques for Efficient Fourier Transform Computation in Ultrasound Simulations. | Ondrej Olsak, Jir Jaros |
| 2024 | Can Large Language Models Write Parallel Code? | Daniel Nichols, Joshua Hoke Davis, Zhaojun Xie, Arjun Rajaram, Abhinav Bhatele |
| 2024 | Full-Stack Revision of Memory and Data Management in PDES on Multi-Core Machines. | Federica Montesano |
| 2024 | ADTopk: All-Dimension Top-k Compression for High-Performance Data-Parallel DNN Training. | Zhangqiang Ming, Yuchong Hu, Wenxiang Zhou, Xinjue Zheng, Chenxuan Yao, Dan Feng |
| 2024 | DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models. | Avinash Maurya, Robert Underwood, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae |
| 2024 | Tutorial on Variational Quantum Algorithms for Resource Management in Cloud/Edge Architectures. | Carlo Mastroianni, Andrea Vinci |
| 2024 | Towards a Comprehensive Approach to Resource and Conflict Management in Cloud-Edge Settings. | Jacopo Massa |
| 2024 | ElasticRoom: Multi-Tenant DNN Inference Engine via Co-design with Resource-constrained Compilation and Strong Priority Scheduling. | Lixian Ma, Haoruo Chen, En Shao, Leping Wang, Quan Chen, Guangming Tan |
| 2024 | Near-Optimal Wafer-Scale Reduce. | Piotr Luczynski, Lukas Gianinazzi, Patrick Iff, Leighton Wilson, Daniele De Sensi, Torsten Hoefler |
| 2024 | SIMCoV-GPU: Accelerating an Agent-Based Model for Exascale. | Kirtus G. Leyba, Steven Hofmeyr, Stephanie Forrest, Judy L. Cannon, Melanie E. Moses |
| 2024 | Extending Sparse Patterns to Improve Inverse Preconditioning on GPU Architectures. | Sergi Laut, Ricard Borrell, Marc Casas |
| 2024 | EMPYREAN: Trustworthy, Cognitive and AI-driven Collaborative Associations of IoT Devices and Edge Resources for Data Processing. | Aristotelis Kretsis, Panagiotis C. Kokkinos, Emmanouel A. Varvarigos, Dimitris Syrivelis, Paraskevas Bakopoulos, Mrton Sipos, Marcell Fehr, Daniel Enrique Lucani, Jos Manuel Bernab Murcia, Antonio F. Skarmeta, Ivan Paez, Luca Cominardi, Michael Mercier, Pedro Velho, Yiannis Georgiou, Charalampos Mainas, Anastassios Nanos, Javier Martin, Aitor Fernndez Gmez, Roberto Gonzalez, Panos Ilias, Theodoros Chalazas, Keshav Chintamani |
| 2024 | Constrained Approximate Query Processing with Error and Response Time-Bound Guarantees for Efficient Big Data Analytics. | Sungsoo Kim, Choon Seo Park, Taewhi Lee, Kihyuk Nam |
| 2024 | DLHT: A Non-blocking Resizable Hashtable with Fast Deletes and Memory-awareness. | Antonios Katsarakis, Vasilis Gavrielatos, Nikos Ntarmos |
| 2024 | FaaSRail: Employing Real Workloads to Generate Representative Load for Serverless Research. | Christos Katsakioris, Chloe Alverti, Konstantinos Nikas, Dimitrios Siakavaras, Stratos Psomadakis, Nectarios Koziris |
| 2024 | Trade-off Analysis between Knowledge Distillation and Federated Learning in Distributed Edge System. | Mbasa Joaquim Molo |