Table of Contents

• DistWalk: A Distributed Workload EmulatorRemo Andreoli, Tommaso Cucinotta. 1-10 [doi]
• SUPLEC:Microservice Scheduling Under Unexpected Peak Load in the Edge-Cloud ContinuumMinwoo Kang, Taeshin Kang, Joon-Min Gil, HeonChang Yu. 1-10 [doi]
• Dynamic Load Scaling via Distributed Trace Sampling and AnalysisKevin Mooney, John Durkin, Samson Koshy, Sushil Khadka, Jiawei Tyler Gu, Reza Farivar. 1-4 [doi]
• Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational EfficiencyDuy Phuong Nguyen, J. Pablo Muñoz, Tanya G. Roosta, Ali Jannesari. 1-10 [doi]
• MEMORYBRIDGE: Leveraging Cloud Resource Characteristics for Cost-Efficient Disk-Based GNN Training via Two-Level ArchitectureYoochan Kim, Weikuan Yu, Hong-Yeon Kim, Youngjae Kim 0001. 1-10 [doi]
• Dial: Decentralized I/O Autotuning Via Learned Client-Side Local Metrics for Parallel File SystemMd. Hasanur Rashid, Xinyi Li, Youbiao He, Forrest Sheng Bao, Dong Dai 0001. 1-4 [doi]
• Improving Energy Efficiency in a Data Center: PUE Analyzing and TuningDaniel Flores-Martin, Miguel Mahillo, Felipe Lemus-Prieto, Javier Corral-García, Juan A. Rico-Gallego. 1-10 [doi]
• Pilot-Quantum: A Middleware for Quantum-HPC Resource, Workload and Task ManagementPradeep Kumar Mantha, Florian J. Kiwit, Nishant Saurabh, Shantenu Jha, André Luckow. 1-10 [doi]
• Resolving Blockchain's Immutable DilemmaAmritesh Kumar, Monu Nagar, Lokendra Vishwakarma, Debasis Das 0001. 1-10 [doi]
• Diverse, Stable, and Efficient All-Atom Structure Sampling Based on Parallelized Coarse-Grained Elastic Network ModelShingo Okuno, Yuta Yoshimoto, Nana Takeda, Yusuke Nagasaka, Ryo Kanada, Atsushi Tokuhisa, Yasushi Okuno. 1-11 [doi]
• Choreography and Profiling of Quantum-Classical FaaS Workflows on Hybrid CloudsVaibhav Jha, Shikhar Srivastava 0003, Tarun Harishchandra Pal, Vaishnav Manoj Kavitha, Ritajit Majumdar, Tuhin Khare, Padmanabha Venkatagiri Seshadri, Varad Kulkarni, Anupama Ray, Yogesh Simmhan. 1-11 [doi]
• Advances in Appfl: a Comprehensive and Extensible Federated Learning FrameworkZilinghan Li, Shilan He, Ze Yang, Minseok Ryu, Kibaek Kim, Ravi K. Madduri. 1-11 [doi]
• Wrath: Workload Resilience Across Task Hierarchies in Task-Based Parallel Programming FrameworksSicheng Zhou, Zhuozhao Li, Valérie Hayot-Sasson, Haochen Pan, Maxime Gonthier, J. Gregory Pauloski, Ryan Chard, Kyle Chard, Ian T. Foster. 1-11 [doi]
• A Sensitivity-Driven Expert Allocation Method in LoRA-MoE for Efficient Fine-TuningJunzhou Xu, Boyu Diao, Chengqiang Qi, Shaobo Zhao, Ruisheng Wang, Yongjun Xu 0001. 1-8 [doi]
• ParaDyMS: Parallel Dynamic Motif Counting at ScaleAli Khan, Nigel Tan, Jack D. Marquez, Michela Taufer, Sanjukta Bhowmick. 1-10 [doi]
• A Nonlinear Hash-Based Optimization Method for SpMV on GPUsChen Yan, Boyu Diao, Hangda Liu, Zhulin An, Yongjun Xu 0001. 1-10 [doi]
• xAMM: "Attention" to Details Improves Cross-Platform Prediction AccuracyAakash Raj Dhakal, Tanzima Z. Islam, Arunavo Dey, Daniel Nichols, Abhinav Bhatele, Tapasya Patki, Tom Scogland, Jae-Seung Yeom. 1-10 [doi]
• Streamrag: a Lock-Aware and Traffic-Aware Query Coordinator in Stream-Based Rag SystemsYeonwoo Jeong, Kyuli Park, Sungyong Park. 1-10 [doi]
• Deep Learning Training Job Scheduling for Proactive Straggler ReductionHaiying Shen, Zeyu Zhang 0005. 1-12 [doi]
• Draco: Dynamic Resource Allocation for Concurrent ML ApplicationsTheo Radig, Holger Karl. 11-20 [doi]
• Equilibria: Co-Optimizing Energy and Latency in Online ML-Based Stream Processing SystemsSejeong Oh, Soyang Baek, Gordon Euhyun Moon, Sungyong Park. 33-42 [doi]
• Power- and Fragmentation-Aware Online Scheduling for GPU DatacentersFrancesco Lettich, Emanuele Carlini 0001, Franco Maria Nardini, Raffaele Perego 0001, Salvatore Trani. 43-52 [doi]
• Energy Efficient Scheduling of AI/ML Workloads on Multi Instance Gpus with Dynamic RepartitioningEllie Lipe, Neel Karia, Connor Espenshade, Clifford Stein 0001, Asser N. Tantawi, Olivier Tardieu. 53-62 [doi]
• A Greedy Consensus-Based Approach to Distributed Job Selection: Toward Fully-Decentralized Workload Management SystemKomal Thareja, Krishnan Raghavan, Anirban Mandal, Pawel Zuk, Imtiaz Mahmud, Mariam Kiran, Ewa Deelman. 63-72 [doi]
• Scaling Laws for the Workload Throughput of Emerging Heterogeneous ClustersAkhil Alasandagutti, Joshua Suetterlein, Jesun Firoz, Stephen J. Young, Joseph B. Manzano, Jason R. Stewart, Patrick G. Bridges, Trilce Estrada, Kevin J. Barker. 73-82 [doi]
• Dynostore: A Wide-Area Distribution System for the Management of Data Over Heterogeneous StorageDante D. Sánchez-Gallegos, José Luis González Compeán, Maxime Gonthier, Valérie Hayot-Sasson, J. Gregory Pauloski, Haochen Pan, Kyle Chard, Jesús Carretero 0001, Ian T. Foster. 83-92 [doi]
• P2P-Fed: A Decentralized Federated Learning Platform on Structured Peer-to-Peer SystemsAhyeon Lim, Sooho Jang, Jaehwan Lee 0001. 124-133 [doi]
• Swiftn: Accelerating Quantum Circuit Simulation Through Tensor OptimizationSeunghwan Kim, Changjong Kim, Alex Sim, Kesheng Wu, Houjun Tang, Sunggon Kim. 142-153 [doi]
• Next-Generation SPIFFE/SPIRE Identity Management Systems with Post-Quantum Cryptography AlgorithmsLucas C. Cardoso, Marco A. Marques, Pedro Henrique Barcha Correia, Henrique Zanela Cochak, Charles Christian Miers, Marcos A. Simplício Jr.. 154-163 [doi]
• On the Reproducibility Challenges of Federated Learning: Investigating the Gap Between Simulation, Emulation and Real-World DeploymentsCèdric Prigent, Kate Keahey, Alexandru Costan, Loïc Cudennec, Gabriel Antoniu. 185-194 [doi]
• UMAPE: A UAV-Assisted Secure Mutual Authentication Protocol Using Edge-Computing for Enhanced IoV SystemsHaradhan Ghosh, Debasis Das 0001, Satya Bagchi. 205-214 [doi]
• Archimedes: A Framework to Support Distributional Similarity Analysis over Arbitrary Spatiotemporal Scopes at ScalePaige Hansen, Nathan Orwick, Kassidy Barram, Pierce Smith, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara. 215-225 [doi]
• SoftGuide: A Hardware-Software Co-design Predictor for Data-Dependent BranchesXuefeng Zhang, Peng Qu 0001, Tingji Zhang, Xiang Fei, Youhui Zhang. 226-235 [doi]
• Offloading File System Clients onto a Data Processing Unit (DPU) with DPUFSQingjie Zeng, Xiaojian Liao, Xianqiang Luo, Jiwu Shu. 236-245 [doi]
• Exploiting Software-Defined Networking Technology for Improving Ugal Routing in Dragonfly NetworksRam Sharan Chaulagain, Tusher Chandra Mondol, Saptarshi Bhowmik, Xin Yuan 0001. 246-255 [doi]
• Let It Unthread: The Good, the Bad and the Ugly Within Webassembly Portable MultithreadingMarc Sánchez Artigas, Julen Bohoyo Bengoetxea. 256-265 [doi]
• Private Distributed Resource Management Data: Predicting CPU Utilization with Bi-LSTM and Federated LearningLorenzo Carnevale, Daniel Balouek, Serena Sebbio, Manish Parashar, Massimo Villari. 266-275 [doi]
• LASSY: A Latency-Aware SLOs-Sufficing Scheduling System for the Cloud/Edge ContinuumYinan Cao, Etienne Rivière, Ramin Sadre. 276-285 [doi]
• Flora: Efficient Cloud Resource Selection for Big Data Processing Via Job ClassificationJonathan Will, Lauritz Thamsen, Jonathan Bader, Odej Kao. 296-304 [doi]
• Carbon Footprint of Storage in Data Centers: the Impact of Using Ssds for Key-Value StoresJakob Nibler, Thomas Ropars. 305-314 [doi]
• CarbonDIS: Carbon-Aware DNN Inference Scheduling on Heterogeneous GPUsSeyed Morteza Nabavinejad, Weiwei Jia, Shubbhi Taneja, Tian Guo 0001. 315-324 [doi]
• Exploring the Potential of Carbon-Aware Execution for Scientific WorkflowsKathleen West, Fabian Lehmann, Vasilis Bountris, Ulf Leser, Yehia Elkhatib, Lauritz Thamsen. 325-328 [doi]
• Contenders: Predicting Cache Contention of Co-Scheduled ApplicationsZe Wang, Tim Süß, André Brinkmann, Lars Nagel 0001. 343-352 [doi]
• Cool-Tee: Client-Tee Collaboration for Resilient Distributed SearchMatthieu Bettinger, Etienne Rivière, Sonia Ben Mokhtar, Anthony Simonet-Boulogne. 353-362 [doi]
• rInfer: A Generic and High-Performance Framework for Remote Inference with Heterogeneous AcceleratorsZhen Jin 0008, Yiquan Chen, Yijing Wang, Yin Du, Keyao Zhang, Jiexiong Xu, Wenhai Lin, Jingchang Qin, Kanghua Fang, Wenzhi Chen. 363-372 [doi]
• Proactive Migration in Vehicular Edge Computing Using Machine Learning and Location DataPaulo J. Araújo, Helena Fernández-López, Alexandre J. T. Santos. 383-392 [doi]
• Network-Accelerated Multiget Coordination for Distributed Key-Value StoresJiyoon Bang, Gyuyeong Kim. 408-419 [doi]
• Performance Characterization of Data Store Event Trigger Mechanisms for Serverless ComputingRitul Satish, Sacheendra Talluri, Sudarsan Sivakumar, Matthijs Jansen, Alexandru Iosup. 440-449 [doi]
• Hiku: Pull-Based Scheduling for Serverless ComputingSaman Akbari, Manfred Hauswirth. 450-461 [doi]
• ScalaSSC: Scalable Stateful Serverless Computing for Stream Processing ApplicationsTianyu Qi, Maria A. Rodriguez 0001, Rajkumar Buyya. 462-471 [doi]
• An Optimization Technique for Hiding Communication Costs in 3D Parallel Training of Deep LearningRyubu Hosoki, Kento Sato, Toshio Endo, Julien Bigot, Edouard Audit. 472-481 [doi]
• Dynamic Graph Learning for Systems Using Selective State Focused Attention NetworksShikhar Vashistha, Neetesh Kumar. 482-492 [doi]
• Memory-Aware Adaptive Scheduling of Scientific Workflows on Heterogeneous ArchitecturesSvetlana Kulagina, Anne Benoit, Henning Meyerhenke. 503-513 [doi]
• WOW: Workflow-Aware Data Movement and Task Scheduling for Dynamic Scientific WorkflowsFabian Lehmann, Jonathan Bader, Friedrich Tschirpke, Ninon De Mecquenem, Ansgar Lößer, Sören Becker 0001, Katarzyna Ewa Lewinska, Lauritz Thamsen, Ulf Leser. 525-538 [doi]
• Evaluating Energy Efficiency of Ai Accelerators Using Two Mlperf BenchmarksFarah Ferdaus, Xingfu Wu, Valerie Taylor 0001, Zhiling Lan, Sanjif Shanmugavelu, Venkatram Vishwanath, Michael E. Papka. 549-558 [doi]
• Green-Code: Learning to Optimize Energy Efficiency in Llm-Based Code GenerationShashikant Ilager, Lukas Florian Briem, Ivona Brandic. 559-569 [doi]
• ECO-KVS: Energy-Aware Compaction Offloading Mechanism for LSM-Tree Based Key-Value Stores in Edge FederationJeeseob Kim, Hongsu Byun, Seungjae Lee, Myoungjoon Kim, Youngjae Kim 0001, Zaipeng Xie, Sungyong Park. 570-579 [doi]
• Empowering Sustainability: Energy Labeling of Digital Services Using SimulationSaeedeh Baneshi, Anuj Pathania, Benny Akesson, Andy D. Pimentel, Ana Lucia Varbanescu. 580-585 [doi]
• CINERGY: Reasoning Over the Worst Case Power Consumption of Cloud Virtual MachinesPierre Jacquet, Camille Coti, Marcos Dias de Assunção, Romain Rouvoy. 586-589 [doi]