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ORCIDICPE 2022: Bejing, China - Companion
- Dan Feng, Steffen Becker, Nikolas Herbst, Philipp Leitner, Arthur Kang:
ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9 - 13, 2022, Companion Volume. ACM 2022, ISBN 978-1-4503-9159-7 - Marius Hadry, Veronika Lesch, Samuel Kounev:
FADE: Towards Flexible and Adaptive Distance Estimation Considering Obstacles: Vision Paper. 1-5 - Gagan Somashekar
, Anurag Dutt, Rohith Vaddavalli, Sai Bhargav Varanasi, Anshul Gandhi:
B-MEG: Bottlenecked-Microservices Extraction Using Graph Neural Networks. 7-11 - André Bauer, Mark Leznik, Md Shahriar Iqbal, Daniel Seybold, Igor Trubin, Benjamin Erb, Jörg Domaschka, Pooyan Jamshidi:
SPEC Research - Introducing the Predictive Data Analytics Working Group: Poster Paper. 13-14 - Junjie Li, Alexander Bobyr, Swen Boehm, William C. Brantley, Holger Brunst, Aurélien Cavelan, Sunita Chandrasekaran, Jimmy Cheng, Florina M. Ciorba, Mathew E. Colgrove, Tony Curtis, Christopher S. Daley, Mauricio H. Ferrato, Mayara Gimenes de Souza, Nick Hagerty, Robert Henschel, Guido Juckeland, Jeffrey Kelling, Kelvin Li, Ron Lieberman, Kevin McMahon, Egor Melnichenko, Mohamed Ayoub Neggaz, Hiroshi Ono, Carl Ponder, Dave Raddatz, Severin Schueller, Robert Searles, Fedor Vasilev, Verónica G. Melesse Vergara, Bo Wang, Bert Wesarg, Sandra Wienke, Miguel Zavala:
SPEChpc 2021 Benchmark Suites for Modern HPC Systems. 15-16 - Chetan Phalak, Dheeraj Chahal, Aniruddha Sen, Mayank Mishra, Rekha Singhal:
MAPLE: Model Aggregation and Prediction for Learned Ecosystem. 17-18 - Nupur Sumeet, Deeksha Deeksha, Manoj Nambiar:
HLS_Profiler: Non-Intrusive Profiling tool for HLS based Applications. 19-20 - Maximilian Meissner, Klaus-Dieter Lange, Jeremy A. Arnold, Sanjay Sharma, Roger Tipley, Nishant Rawtani, David Reiner, Mike Petrich, Aaron Cragin:
SPEC Efficiency Benchmark Development: How to Contribute to the Future of Energy Conservation. 21-24 - Shreshth Tuli, Giuliano Casale:
Optimizing the Performance of Fog Computing Environments Using AI and Co-Simulation. 25-28 - André Bauer, Martin Straesser, Lukas Beierlieb, Maximilian Meissner, Samuel Kounev:
Automated Triage of Performance Change Points Using Time Series Analysis and Machine Learning: Data Challenge Paper. 29-32 - Jie Chen, Haiyang Hu, Dongjin Yu:
Characterizing and Triaging Change Points. 33-37 - Luc Lesoil, Mathieu Acher, Arnaud Blouin, Jean-Marc Jézéquel:
Beware of the Interactions of Variability Layers When Reasoning about Evolution of MongoDB. 39-43 - Mark Leznik, Md Shahriar Iqbal, Igor Trubin, Arne Lochner, Pooyan Jamshidi, André Bauer:
Change Point Detection for MongoDB Time Series Performance Regression. 45-48 - Robert Cordingly, Wes Lloyd:
FaaSET: A Jupyter Notebook to Streamline Every Facet of Serverless Development. 49-52 - Floriment Klinaku, Martina Rapp, Jörg Henss, Stephan Rhode:
Beauty and the Beast: A Case Study on Performance Prototyping of Data-Intensive Containerized Cloud Applications. 53-60 - George Kousiouris, Chris Giannakos, Konstantinos Tserpes, Teta Stamati:
Measuring Baseline Overheads in Different Orchestration Mechanisms for Large FaaS Workflows. 61-68 - Danielle Lambion, Robert Schmitz, Robert Cordingly, Navid Heydari, Wes Lloyd:
Characterizing X86 and ARM Serverless Performance Variation: A Natural Language Processing Case Study. 69-75 - Thrivikraman V, Vishnu R. Dixit, Nikhil Ram S, Vikas K. Gowda, Santhosh Kumar Vasudevan, Subramaniam Kalambur:
MiSeRTrace: Kernel-level Request Tracing for Microservice Visibility. 77-80 - Laurens Versluis, Alexandru Iosup:
TaskFlow: An Energy- and Makespan-Aware Task Placement Policy for Workflow Scheduling through Delay Management. 81-88 - Thomas F. Düllmann, André van Hoorn, Vladimir Yussupov, Pelle Jakovits, Mainak Adhikari:
CTT: Load Test Automation for TOSCA-based Cloud Applications. 89-96 - Devon Hockley, Carey Williamson:
Benchmarking Runtime Scripting Performance in Wasmer. 97-104 - Samuel Beck, Sebastian Frank, M. Alireza Hakamian, André van Hoorn:
How is Transient Behavior Addressed in Practice?: Insights from a Series of Expert Interviews. 105-112 - Martina Rapp, Max Scheerer, Ralf H. Reussner:
Design-time Performability Optimization of Runtime Adaptation Strategies. 113-120 - Samyak S. Sarnayak, Aditi Ahuja, Pranav Kesavarapu, Aayush Naik, Santhosh Kumar Vasudevan, Subramaniam Kalambur:
Analysis of Garbage Collection Patterns to Extend Microbenchmarks for Big Data Workloads. 121-128 - Siyu Zhou, C. Murray Woodside:
A Multiserver Approximation for Cloud Scaling Analysis. 129-136 - Maximilian Meissner, Supriya Kamthania, Nishant Rawtani, James Bucek, Klaus-Dieter Lange, Samuel Kounev:
Experience and Guidelines for Sorting Algorithm Choices and Their Energy Efficiency. 137-144 - Nupur Sumeet, Karan Rawat, Manoj Nambiar:
Performance Evaluation of GraphCore IPU-M2000 Accelerator for Text Detection Application. 145-152
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