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ORCIDICPE 2025: Toronto, ON, Canada
- Marin Litoiu
, Evgenia Smirni, Alessandro Vittorio Papadopoulos, Katinka Wolter:
Companion of the 16th ACM/SPEC International Conference on Performance Engineering, ICPE 2025, Toronto, ON, Canada, May 5-9, 2025. ACM 2025, ISBN 979-8-4007-1130-5
Journal First Track
- Zehao Wang, Wei Liu, Jinfu Chen, Tse-Hsun (Peter) Chen:
RPerf: Mining User Reviews Using Topic Modeling to Assist Performance Testing: An Industrial Experience Report. 1 - Saeid Ghafouri, Kamran Razavi, Mehran Salmani, Alireza Sanaee, Tania Lorido-Botran, Lin Wang, Joseph Doyle, Pooyan Jamshidi:
IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency. 2-3 - Tommaso Cucinotta, Alexandre M. Amory, Gabriele Ara, Francesco Paladino, Marco Di Natale:
Multi-Criteria Optimization of Real-Time DAGs on Heterogeneous Platforms under P-EDF. 4-5
Artifact Evaluation Track
- Nicholas Bovee, Izhar Ali, Suraj Bitla, Gopi Krishna Patapanchala, Shen-Shyang Ho:
SplitTracr: A Flexible Performance Evaluation Tool for Cooperative Inference and Split Computing. 6-10 - Shinhyung Yang, David Georg Reichelt, Reiner Jung, Marcel Hansson, Wilhelm Hasselbring:
The Kieker Observability Framework Version 2. 11-15 - Mohamed Bilel Besbes, Diego Elias Costa, Suhaib Mujahid, Gregory W. Mierzwinski, Marco Castelluccio:
A Dataset of Performance Measurements and Alerts from Mozilla (Data Artifact). 16-20
Data Challenge Track
- Masoumeh Nourollahi, Amir Haghshenas, Michel R. Dagenais:
TraceLens: Early Detection of Software Anomalies Using Critical Path Analysis. 21-25 - Anthonia Njoku, Heng Li, Foutse Khomh:
Kernel-Level Event-Based Performance Anomaly Detection in Software Systems under Varying Load Conditions. 26-30
Emerging Research Track
- Ankita Mukherjee, Ashadullah Shawon, Md. Asif Khan, Joseph Robertson, Ramiro Liscano, Akramul Azim, Vijay Sundaresan, Yee-Kang Chang:
Improving Runtime Performance in Java: A Systematic Detection and Refactoring Approach for Lock Contention Code Smells (Work In progress paper). 31-37 - Martina Rapp, Max Scheerer, Ralf Sieger, Ralf H. Reussner, Raffaela Mirandola:
Modeling And Optimizing Runtime Adaptation Strategies At Design-Time Using Evolutionary Algorithms (Idea Paper). 38-46 - Jolly Chen, Ana Lucia Varbanescu, Axel Naumann:
Optimizing Memory Access Patterns through Automatic Data Layout Transformation (Work in Progress Paper). 47-53
Posters and Demostrations Track
- Pranjal Gupta, Karan Bhukar, Harshit Kumar, Seema Nagar, Prateeti Mohapatra, Debanjana Kar:
LogAn: An LLM-Based Log Analytics Tool with Causal Inferencing. 54-56 - Kuldeep Singh, Ravi Kumar Singh, Shruti Kunde, Mayank Mishra, Rekha Singhal, Manoj Nambiar:
COQO: Cost-Optimal Query Orchestration Tool. 57-58
Tutorial Track
- Reza Farahani, Radu Prodan:
Serverless Orchestration on the Edge-Cloud Continuum: Challenges and Solutions. 59 - Maximilian Meissner, Klaus-Dieter Lange, Aaron Cragin, Pushpa H. J, Robert Proulx, Samuel Kounev:
Next Generation Energy Efficiency Benchmarking: Reliable and Reproducible Efficiency Measurements in a Diverse IT-Landscape. 60-64
Fifth Workshop on Education and Practice of Performance Engineering (WEPPE25)
- Alberto Avritzer, Matteo Camilli, James J. Cusick, Andrea Janes:
WEPPE25: 5th Workshop on Education and Practice of Performance Engineering. 65 - James J. Cusick:
From the Deep End to Coaching Others in the Performance Pool. 66-67 - Peter Arzt, Sebastian Kreutzer, Tim Jammer, Christian H. Bischof:
cfdSCOPE: A Fluid-Dynamics Proxy App for Teaching Performance Engineering. 68-75 - Catalina M. Lladó:
Overcoming Challenges in Teaching Performance Related Tools. 76-80 - Lu Xiao, André B. Bondi, Eman Abdullah AlOmar, Yu Tao:
Cultivating Performance Awareness in a Testing Project: A Focus on Machine-Readable Travel Documents. 81-86 - Neil J. Gunther:
Guerrilla Techniques for Robust Performance Engineering. 87-88 - Alexander Podelko:
Performance Engineering: New and Conflicting Trends. 89-90 - Cristina L. Abad:
How can we Teach Workload Modeling in CS Systems Classes? [Invited Talk]. 91-92
Third International Workshop on AI Performance and Optimization in the LLM World (AIPerfLLM 2025)
- Kingsum Chow, Emilio Incerto, Marin Litoiu, Zhihao Chang, Anil Rajput, Khun Ban, Daniele Masti, Zhiheng Lyu:
AIPerfLLM: 3rd International Workshop on Performance Optimization in the LLM world. 93-94 - Ashadullah Shawon, Ramiro Liscano, Akramul Azim, Vijay Sundaresan, Yee-Kang Chang:
Retrieval Augmented Generation Fine-Tuned LLM Model for Code Recommendations to Mitigate Lock Contention. 95-102 - Ravi Kumar Singh, Shruti Kunde, Mayank Mishra, Rekha Singhal, Manoj Nambiar:
ConsciousLLM: The Future of Intelligent Deployment of Self-aware Models. 103-108 - Archisman Bhowmick, Rishikesh S, Ashay Taksande, Kuldeep Singh, Mayank Mishra, Rekha Singhal:
RAGuru: A Tool to Create and Automatically Deploy Workload Optimized RAG. 109-113 - Ravi Kumar Singh, Kuldeep Singh, Shruti Kunde, Mayank Mishra, Rekha Singhal, Manoj Nambiar:
RAGs to Riches: Cost-efficient Complex Query Orchestration. 114-120
Thirteenth International Workshop on Load Testing and Benchmarking of Software Systems (LTB 2025)
- Stephen Fan, Lizhi Liao, Zhenhao Li:
LTB25: 13th International Workshop on Load Testing and Benchmarking of Software Systems. 121 - Simon Volpert, Sascha Winkelhofer, Jörg Domaschka, Stefan Wesner:
Towards eBPF Overhead Quantification: An Exemplary Comparison of eBPF and SystemTap. 122-129 - Deeksha Deeksha, Ashwin Krishnan, Manoj Nambiar:
EMU-LLM: Emulators for Performance Evaluation of LLM-based Applications. 130-135 - Hasti Ghaneshirazi, Fares Hamouda, Marios Fokaefs, Wejdene Haouari, Dariusz Jania:
DMML: A Machine-learning Performance Model for Data Migration. 136-143 - Jacob D. Hauenstein, Timothy S. Newman:
Scientific Computing Energy Footprinting Across CPU Generations. 144-151
Eighth Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf 2025)
- Klervie Toczé, André Bauer, Dragi Kimovski, Daniele Bonetta:
HotCloudPerf'25 Workshop Chairs' Welcome. 152-153 - Sharod Roy Choudhury, Dheeraj Chahal, Chetan Phalak, Manju Ramesh, Rekha Singhal:
GenAI for bottleneck Detection in Cloud Architecture. 154-161 - Anders Nõu, Sacheendra Talluri, Alexandru Iosup, Daniele Bonetta:
Investigating Performance Overhead of Distributed Tracing in Microservices and Serverless Systems. 162-166 - Zhiqi Li, Ruiqi Yu, Jianshu Liu:
IrisBench: An Open-Source Benchmark Suite for Video Processing Systems in Cloud. 167-173 - James McMahon, Vinita Pawar, Ryan Stutsman:
Remote Memory Prefetching: Is Coarse-grained Fine? 174-179 - Vinita Pawar, Ankit Bhardwaj, Ryan Stutsman:
ObjecTier: Non-Invasively Boosting Memory Tiering Performance. 180-186 - Sándor Battaglini-Fischer, Nishanthi Srinivasan, Bálint László Szarvas, Xiaoyu Chu, Alexandru Iosup:
FAILS: A Framework for Automated Collection and Analysis of LLM Service Incidents. 187-194 - Klervie Toczé:
Introducing Resource Awareness Levels in Edge Computing Resource Management. 195-198 - Yannik Lubas, Martin Straesser, Ivo Rohwer, Samuel Kounev, André Bauer:
Microservice Applications and Their Workloads on GitHub. 199-205
Sixth Workshop on Benchmarking in the Data Center: Expanding to the Cloud (BID 2025)
- Kaushik Velusamy, Awais Khan:
Benchmarking in the Data Center: Expanding to the Cloud. 206 - Arjun Parab, Amir Raoofy, Leon Spörl, Stefan Dimitrov, Matthew Tovey, Josef Weidendorfer:
AutoBench: A Holistic Platform for Automated and Reproducible Benchmarking in HPC Testbeds. 207-214 - Christian von Elm, Robert Schöne:
Performance Tools for the NEC SX-Aurora Tsubasa. 215-222
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