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ORCIDICPE 2026: Florence, Italy
- Roberto Verdecchia
, Catia Trubiani, Radu Calinescu, Ana Lucia Verbanescu:
Proceedings of the 17th ACM/SPEC International Conference on Performance Engineering, ICPE 2026, Florence, Italy, May 4-8, 2026. ACM 2026, ISBN 979-8-4007-2325-4
Keynote Talks
- Zhuojin Li, Marco Paolieri, Leana Golubchik:
Systems for AI: Predicting Performance of Machine Learning Workloads. 1-2 - Didem Unat:
Illuminating Multi-GPU Data Movement. 3-4
Session 1: Heterogeneous Architecture Performance
- Julius Plehn, Christian von Elm, Pay Giesselmann, Carsten Clauss, Hendryk Bockelmann, Robert Schöne, Jan Frederik Engels:
Improving Energy Efficiency and Performance of Weather and Climate Simulations by Leveraging the Heterogeneity of Modern Systems. 5-16 - Vyuhita Bonthu, Nikhil Hegde:
Cross-Platform, Cross-Framework Development of Hybrid-Parallel Matrix-Multiplication codes. 17-24
Session 2: Cloud Systems and Resource Efficiency
- John Thiede, David Irwin, Prashant J. Shenoy:
CarbonShare: Carbon-Fair Allocation for Shared Clusters. 25-36 - Adityo Anggraito, Rostislav Razumchik, Andrea Marin:
Kill Smart, Run Fast: Using Job Termination for Resource Efficiency in Data Centers. 37-51 - Jacob D. Hauenstein, Timothy S. Newman:
Understanding Foundational Library Energy Consumption. 52-62 - Maximilian Meissner, Khang Pham, Aaron Cragin, Klaus-Dieter Lange, Samuel Kounev:
The Impact of Memory Configuration on Server Efficiency. 63-73 - Mariane Santos Zeitouni, Oscar Brito, Matheus Rocha, Thiago Emmanuel Pereira, Gabriel Gomes:
On the Efficiency and Disruption Trade-Offs of Kubernetes Packing Heuristics. 74-82
Session 3: AI and LLM Performance
- Hiari Pizzini Cavagna, Andrea Proia, Giacomo Madella, Giovanni Battista Esposito, Francesco Antici, Daniele Cesarini, Zeynep Kiziltan, Andrea Bartolini:
SweetSpot: An Analytical Model for Predicting Energy Efficiency of LLM Inference. 83-95 - Morteza Noferesti, Mahsa Panahandeh, Naser Ezzati-Jivan:
B-Perf: Black-box Performance Antipattern Detection Using System-level Execution Tracing. 96-107 - Alireza Pourali, Hamzeh Khazaei:
ORION: Integrated Runtime Modelling for Predicting Deep Learning Training Time. 108-119 - Kanwal Batool, Saleem Anwar, Francesco Regazzoni, Andy D. Pimentel, Zoltán Ádám Mann:
SwiftSNNI: Optimized Scheduling for Secure Neural Network Inference (SNNI) on Multi-Core Systems. 120-134 - Sai Sindhur Malleni, Raul Sevilla Canavate, Aleksei Vasilevskii, José Castillo Lema, André Bauer:
Evaluating Kubernetes Performance for GenAI Inference: From Automatic Speech Recognition to LLM Summarization. 135-146
Session 4: System Observability and Latency
- David Georg Reichelt, Shinhyung Yang, Marcel Hanson, Wilhelm Hasselbring:
Benchmarking the Overhead of Distributed Tracing Agents. 147-161 - Orangel Azuaje, Ana Aguiar:
Modeling Extreme End-to-End Delays for Availability Assessment on Latency Datasets. 162-169
Session 5: Benchmarking and Profiling Infrastructure
- Antonio Paolillo, Mats Van Molle, Ken Hasselmann:
benchkit: A Declarative Framework for Composable Performance Evaluation of System Software. 170-183 - Yassine Lazreg, Saman Akbari, Manfred Hauswirth:
Performance and Cost Implications of Migrating Serverless Functions from x86 to ARM based Servers. 184-191
Session 6: Performance Modeling and Optimization of Complex Systems
- Eitan Frachtenberg, Viyom Mittal, Mohammed Baydoun, Aditya Dhakal, Izzat El Hajj, Dejan S. Milojicic:
Variability-Guided Performance Optimization. 192-207 - Govind KP, Guillaume Pierre, Romain Rouvoy:
Energy-Efficient Right-Sizing of Kafka-like Message Brokers for IoT Workloads. 208-217 - Jeeho Ryoo, Yongchan Jung, Muhammad Ali Khaliq, Weidong Zhang, Jiatong Han, Byeong Kil Lee:
Performance Analysis and Optimization of 3D Generative Diffusion Models across GPU Architectures. 218-229 - Awanish Khanal, Monowar Hasan:
A Comparative Evaluation of Imputation Models for Agricultural Weather Networks. 230-241
Session 7: GPU & Heterogeneous Computing
- Alexander Fuerst, Siddharth Anil, Prateek Sharma:
MQGPU: A Multi-Queue Scheduling Framework For GPU Accelerated Serverless Functions. 242-254 - Kishan Tamboli, Vishwesh Jatala:
LSTC: Large-Scale Triangle Counting on Single GPU. 255-266 - Michail Papadimitriou, Maria Xekalaki, Orion Papadakis, Ruiqi Ye, Athanasios Stratikopoulos, Christos Kotselidis:
Pulse: A Profiling and Visualization Infrastructure for Heterogeneous Managed Systems. 267-278 - Konstantinos Papazafeiropoulos, Anastasia Mallikopoulou, Anastassios Nanos, Georgios I. Goumas, Nectarios Koziris:
Low-Latency ML Offloading Across Edge and IoT Devices. 279-289 - Adel Belkhiri, Arnaud Fiorini, Matthew Khouzam, Heng Li:
A Transparent and Efficient Performance Analysis Approach to Enhance DPDK Observability. 290-300
Session 8: Adaptive Cloud & Edge
- Ahsan Pervaiz, Anwesha Das, Vedant Kodagi, Muhammad Husni Santriaji, Henry Hoffmann:
WASL: Harmonizing Uncoordinated Adaptive Modules in Multi-Tenant Cloud Systems. 301-313 - Kayky Fidelis, Geraldo Junior, Caetano Albuquerque, Giovanni Farias, Thiago Emmanuel Pereira, Fábio Morais, Kilian Melcher:
KLUE: A Framework for Cost-Effective Experimentation in Emulated Kubernetes Clusters. 314-324 - Santhosh M. Kumar, Sameer Ahmad, Armaan Chowfin, Purushottam Kulkarni, Anand Eswaran, Praveen Jayachandran:
FLYT: Transparent and Elastic GPU Provisioning for Multi-Tenant Cloud Services. 325-332 - Nathan Ng, David Irwin, Ananthram Swami, Don Towsley, Prashant J. Shenoy:
To Offload or Not To Offload: Model-driven Comparison of Edge-native and On-device Processing In the Era of Accelerators. 333-340
Session 9: Java & Heap Performance
- Filippo Schiavio, Andrea Rosà, Júnior Löff, Lubomír Bulej, Petr Tuma, Walter Binder:
MapReplay: Trace-Driven Benchmark Generation for Java HashMap. 341-354 - Oleksandr Kachur:
G1HeapVis: Visualizing and Measuring Heap Fragmentation. 355-363
Session 10: Adaptive Systems & Predictive Management
- Mohammad Sonji, Mohammed Baydoun, Safaa Diab, Amir Nassereldine, Pedro Bruel, Aditya Dhakal, Rolando Pablo Hong Enriquez, Gourav Rattihalli, Diman Zad Tootaghaj, Gallig Renaud, Barbara M. Chapman, Fatima K. Abu Salem, Eitan Frachtenberg, Dejan S. Milojicic, Izzat El Hajj:
Are We There Yet? Predicting if Executing Applications are Near Completion. 364-377 - José Pedro Peixoto, Alexis González, Janki Bhimani, Raju Rangaswami, Cláudia Brito, João Paulo, Ricardo Macedo:
Holpaca: Holistic and Adaptable Cache Management for Shared Environments. 378-390 - Abednego Wamuhindo Kambale, Samin Shokrivahed, Giacomo Verticale, Francesca Palermo, Diana Trojaniello, Danilo Ardagna:
Energy-efficient Dynamic Partitioning and Tensors Compression of AI Applications in Smart Eyewears. 391-405 - Abed Matinpour, Farhoud Jafari Kaleibar, Sara Fehresti, Shaylin Ziaei, Marin Litoiu:
An Evaluation Study of Generative AI Systems: Framework-Aware Performance Under Real-World Constraints. 406-418
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