| 2024 | A Learning-Based Caching Mechanism for Edge Content Delivery. Hoda Torabi, Hamzeh Khazaei, Marin Litoiu |
| 2024 | Accelerating ML Workloads using GPU Tensor Cores: The Good, the Bad, and the Ugly. Bagus Hanindhito, Lizy K. John |
| 2024 | An Adaptive Logging System (ALS): Enhancing Software Logging with Reinforcement Learning Techniques. Amirmahdi Khosravi Tabrizi, Naser Ezzati-Jivan, François Tetreault |
| 2024 | An Empirical Analysis of Common OCI Runtimes' Performance Isolation Capabilities. Simon Volpert, Sascha Winkelhofer, Stefan Wesner, Jörg Domaschka |
| 2024 | An Experimental Setup to Evaluate RAPL Energy Counters for Heterogeneous Memory. Lukas Alt, Anara Kozhokanova, Thomas Ilsche, Christian Terboven, Matthias S. Müller |
| 2024 | BFQ, Multiqueue-Deadline, or Kyber? Performance Characterization of Linux Storage Schedulers in the NVMe Era. Zebin Ren, Krijn Doekemeijer, Nick Tehrany, Animesh Trivedi |
| 2024 | Daedalus: Self-Adaptive Horizontal Autoscaling for Resource Efficiency of Distributed Stream Processing Systems. Benjamin J. J. Pfister, Dominik Scheinert, Morgan K. Geldenhuys, Odej Kao |
| 2024 | Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization. Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen |
| 2024 | Developing Index Structures in Persistent Memory Using Spot-on Optimizations with DRAM. Xingsheng Zhao, Prajwal Challa, Chen Zhong, Song Jiang |
| 2024 | Disambiguating Performance Anomalies from Workload Changes in Cloud-Native Applications. Alexandru Baluta, Yar Rouf, Joydeep Mukherjee, Zhen Ming Jiang, Marin Litoiu |
| 2024 | Energy Efficiency Features of the Intel Alder Lake Architecture. Robert Schöne, Markus Velten, Daniel Hackenberg, Thomas Ilsche |
| 2024 | Function Offloading and Data Migration for Stateful Serverless Edge Computing. Matteo Nardelli, Gabriele Russo Russo |
| 2024 | How the Cloud made Performance Appear on the Board Agenda. Manzoor Mohammed |
| 2024 | InstantOps: A Joint Approach to System Failure Prediction and Root Cause Identification in Microserivces Cloud-Native Applications. Raphael Rouf, Mohammadreza Rasolroveicy, Marin Litoiu, Seema Nagar, Prateeti Mohapatra, Pranjal Gupta, Ian Watts |
| 2024 | Leftovers for LLaMA. Ravi Kumar Singh, Likhith Bandamudi, Shruti Kunde, Mayank Mishra, Rekha Singhal |
| 2024 | MalleTrain: Deep Neural Networks Training on Unfillable Supercomputer Nodes. Xiaolong Ma, Feng Yan, Lei Yang, Ian T. Foster, Michael E. Papka, Zhengchun Liu, Rajkumar Kettimuthu |
| 2024 | MemSaver: Enabling an All-in-memory Switch Experience for Many Apps in a Smartphone. Prajwal Challa, Baohua Song, Song Jiang |
| 2024 | No Clash on Cache: Observations from a Multi-tenant Ecommerce Platform. Anna Lira, Ruan Alves, Thiago Emmanuel Pereira, Fábio Morais, João Ramalho, Mariana Mendes |
| 2024 | Optimizing Edge AI: Performance Engineering in Resource-Constrained Environments. Giuliano Casale |
| 2024 | Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering, ICPE 2024, London, United Kingdom, May 7-11, 2024 Simonetta Balsamo, William J. Knottenbelt, Cristina L. Abad, Weiyi Shang |
| 2024 | Processing Natural Language on Embedded Devices: How Well Do Modern Models Perform? Souvika Sarkar, Mohammad Fakhruddin Babar, Md. Mahadi Hassan, Monowar Hasan, Shubhra Kanti Karmaker Santu |
| 2024 | Rethinking 'Complement' Recommendations at Scale with SIMD. Shrey Pandey, Saikat Kumar Das, Hrishikesh V. Ganu, Satyajeet Singh |
| 2024 | ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks. Sören Henning, Adriano Vogel, Michael Leichtfried, Otmar Ertl, Rick Rabiser |
| 2024 | Systemizing and Mitigating Topological Inconsistencies in Alibaba's Microservice Call-graph Datasets. Darby Huye, Lan Liu, Raja R. Sambasivan |
| 2024 | TBASCEM - Tight Bounds with Arrival and Service Curve Estimation by Measurements. Christoph Funda, Thomas Herpel, Reinhard German, Kai-Steffen Jens Hielscher |
| 2024 | The Cost of Simplicity: Understanding Datacenter Scheduler Programming Abstractions. Aratz Manterola Lasa, Sacheendra Talluri, Tiziano De Matteis, Alexandru Iosup |
| 2024 | Time Series Forecasting of Runtime Software Metrics: An Empirical Study. Federico Di Menna, Luca Traini, Vittorio Cortellessa |
| 2024 | Using Evolutionary Algorithms to Find Cache-Friendly Generalized Morton Layouts for Arrays. Stephen Nicholas Swatman, Ana Lucia Varbanescu, Andy D. Pimentel, Andreas Salzburger, Attila Krasznahorkay |
| 2024 | Vectorized Intrinsics Can Be Replaced with Pure Java Code without Impairing Steady-State Performance. Júnior Löff, Filippo Schiavio, Andrea Rosà, Matteo Basso, Walter Binder |
| 2024 | What does Performance Mean for Large Language Models? Jane Hillston |