| 2025 | Exploring the Potential of Carbon-Aware Execution for Scientific Workflows. | Kathleen West, Fabian Lehmann, Vasilis Bountris, Ulf Leser, Yehia Elkhatib, Lauritz Thamsen |
| 2025 | Contenders: Predicting Cache Contention of Co-Scheduled Applications. | Ze Wang, Tim S, Andr Brinkmann, Lars Nagel |
| 2025 | Dynamic Graph Learning for Systems Using Selective State Focused Attention Networks. | Shikhar Vashistha, Neetesh Kumar |
| 2025 | A Greedy Consensus-Based Approach to Distributed Job Selection: Toward Fully-Decentralized Workload Management System. | Komal Thareja, Krishnan Raghavan, Anirban Mandal, Pawel Zuk, Imtiaz Mahmud, Mariam Kiran, Ewa Deelman |
| 2025 | Deep Learning Training Job Scheduling for Proactive Straggler Reduction. | Haiying Shen, Zeyu Zhang |
| 2025 | Performance Characterization of Data Store Event Trigger Mechanisms for Serverless Computing. | Ritul Satish, Sacheendra Talluri, Sudarsan Sivakumar, Matthijs Jansen, Alexandru Iosup |
| 2025 | Dynostore: A Wide-Area Distribution System for the Management of Data Over Heterogeneous Storage. | Dante D. Snchez-Gallegos, Jos Luis Gonzlez Compen, Maxime Gonthier, Valrie Hayot-Sasson, J. Gregory Pauloski, Haochen Pan, Kyle Chard, Jess Carretero, Ian T. Foster |
| 2025 | Dial: Decentralized I/O Autotuning Via Learned Client-Side Local Metrics for Parallel File System. | Md. Hasanur Rashid, Xinyi Li, Youbiao He, Forrest Sheng Bao, Dong Dai |
| 2025 | Draco: Dynamic Resource Allocation for Concurrent ML Applications. | Theo Radig, Holger Karl |
| 2025 | ScalaSSC: Scalable Stateful Serverless Computing for Stream Processing Applications. | Tianyu Qi, Maria A. Rodriguez, Rajkumar Buyya |
| 2025 | On the Reproducibility Challenges of Federated Learning: Investigating the Gap Between Simulation, Emulation and Real-World Deployments. | Cdric Prigent, Kate Keahey, Alexandru Costan, Loc Cudennec, Gabriel Antoniu |
| 2025 | Diverse, Stable, and Efficient All-Atom Structure Sampling Based on Parallelized Coarse-Grained Elastic Network Model. | Shingo Okuno, Yuta Yoshimoto, Nana Takeda, Yusuke Nagasaka, Ryo Kanada, Atsushi Tokuhisa, Yasushi Okuno |
| 2025 | Equilibria: Co-Optimizing Energy and Latency in Online ML-Based Stream Processing Systems. | Sejeong Oh, Soyang Baek, Gordon Euhyun Moon, Sungyong Park |
| 2025 | Carbon Footprint of Storage in Data Centers: the Impact of Using Ssds for Key-Value Stores. | Jakob Nibler, Thomas Ropars |
| 2025 | Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational Efficiency. | Duy Phuong Nguyen, J. Pablo Muoz, Tanya G. Roosta, Ali Jannesari |
| 2025 | CarbonDIS: Carbon-Aware DNN Inference Scheduling on Heterogeneous GPUs. | Seyed Morteza Nabavinejad, Weiwei Jia, Shubbhi Taneja, Tian Guo |
| 2025 | Dynamic Load Scaling via Distributed Trace Sampling and Analysis. | Kevin Mooney, John Durkin, Samson Koshy, Sushil Khadka, Jiawei Tyler Gu, Reza Farivar |
| 2025 | Pilot-Quantum: A Middleware for Quantum-HPC Resource, Workload and Task Management. | Pradeep Kumar Mantha, Florian J. Kiwit, Nishant Saurabh, Shantenu Jha, Andr Luckow |
| 2025 | Energy Efficient Scheduling of AI/ML Workloads on Multi Instance Gpus with Dynamic Repartitioning. | Ellie Lipe, Neel Karia, Connor Espenshade, Clifford Stein, Asser N. Tantawi, Olivier Tardieu |
| 2025 | P2P-Fed: A Decentralized Federated Learning Platform on Structured Peer-to-Peer Systems. | Ahyeon Lim, Sooho Jang, Jaehwan Lee |
| 2025 | Advances in Appfl: a Comprehensive and Extensible Federated Learning Framework. | Zilinghan Li, Shilan He, Ze Yang, Minseok Ryu, Kibaek Kim, Ravi K. Madduri |
| 2025 | Power- and Fragmentation-Aware Online Scheduling for GPU Datacenters. | Francesco Lettich, Emanuele Carlini, Franco Maria Nardini, Raffaele Perego, Salvatore Trani |
| 2025 | WOW: Workflow-Aware Data Movement and Task Scheduling for Dynamic Scientific Workflows. | Fabian Lehmann, Jonathan Bader, Friedrich Tschirpke, Ninon De Mecquenem, Ansgar Ler, Sren Becker, Katarzyna Ewa Lewinska, Lauritz Thamsen, Ulf Leser |
| 2025 | Resolving Blockchain's Immutable Dilemma. | Amritesh Kumar, Monu Nagar, Lokendra Vishwakarma, Debasis Das |
| 2025 | Memory-Aware Adaptive Scheduling of Scientific Workflows on Heterogeneous Architectures. | Svetlana Kulagina, Anne Benoit, Henning Meyerhenke |