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ORCIDICPE 2022: Bejing, China
- Dan Feng, Steffen Becker, Nikolas Herbst, Philipp Leitner:
ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9 - 13, 2022. ACM 2022, ISBN 978-1-4503-9143-6 - Ivona Brandic:
Data Science Driven Methods for Sustainable and Failure Tolerant Edge Systems. 1 - Longxiang Li:
Performance Optimization of HPC Applications in Large-Scale Cluster Systems. 3 - Richard Li
, Min Du, Zheng Wang, Hyunseok Chang, Sarit Mukherjee, Eric Eide:
LongTale: Toward Automatic Performance Anomaly Explanation in Microservices. 5-16 - Mohammad Reza Saleh Sedghpour, Cristian Klein, Johan Tordsson:
An Empirical Study of Service Mesh Traffic Management Policies for Microservices. 17-27 - Robert Walkup, Seetharami R. Seelam, Sophia Wen:
Best Practices for HPC Workloads on Public Cloud Platforms: A Guide for Computational Scientists to Use Public Cloud for HPC Workloads. 29-35 - Lixiang Luo, I-Hsin Chung, Seetharami R. Seelam, Ming-Hung Chen, Yun Joon Soh:
NVMe Virtualization for Cloud Virtual Machines. 37-46 - Rizwan A. Ashraf, Roberto Gioiosa:
Exploring the Use of Novel Spatial Accelerators in Scientific Applications. 47-58 - Wilson Feng, Shucai Yao, Kai-Ting Amy Wang, Md Aamir Raihan, Laichun Feng, Chunrong Xu:
Extending SYCL's Programming Paradigm with Tensor-based SIMD Abstractions. 59-66 - Chuanming Shao, Jinyang Guo, Pengyu Wang, Jing Wang, Chao Li, Minyi Guo:
Oversubscribing GPU Unified Virtual Memory: Implications and Suggestions. 67-75 - Rico van Stigt, Stephen Nicholas Swatman, Ana Lucia Varbanescu:
Isolating GPU Architectural Features Using Parallelism-Aware Microbenchmarks. 77-88 - Mark Leznik, Johannes Grohmann, Nina Kliche, André Bauer, Daniel Seybold, Simon Eismann, Samuel Kounev, Jörg Domaschka:
Same, Same, but Dissimilar: Exploring Measurements for Workload Time-series Similarity. 89-96 - Mikael Sabuhi, Petr Musílek, Cor-Paul Bezemer:
Studying the Performance Risks of Upgrading Docker Hub Images: A Case Study of WordPress. 97-104 - Martin Straesser, Johannes Grohmann, Jóakim von Kistowski, Simon Eismann, André Bauer, Samuel Kounev:
Why Is It Not Solved Yet?: Challenges for Production-Ready Autoscaling. 105-115 - Kim Long Ngo, Joydeep Mukherjee, Zhen Ming Jiang, Marin Litoiu:
Evaluating the Scalability and Elasticity of Function as a Service Platform. 117-124 - Alexandru Baluta, Joydeep Mukherjee, Marin Litoiu:
Machine Learning based Interference Modelling in Cloud-Native Applications. 125-132 - Ashwin Krishnan, Manoj Nambiar, Nupur Sumeet, Sana Iqbal:
Performance Model and Profile Guided Design of a High-Performance Session Based Recommendation Engine. 133-144 - Danilo de Goede, Duncan Kampert, Ana Lucia Varbanescu:
The Cost of Reinforcement Learning for Game Engines: The AZ-Hive Case-study. 145-152 - Sofiane Chetoui, Michael Chen, Abhinav Golas, Farrukh Hijaz, Adel Belouchrani, Sherief Reda:
Alternating Blind Identification of Power Sources for Mobile SoCs. 153-164 - Markus Velten, Robert Schöne, Thomas Ilsche, Daniel Hackenberg:
Memory Performance of AMD EPYC Rome and Intel Cascade Lake SP Server Processors. 165-175 - Mohammadreza Soltaniyeh, Veronica Lagrange Moutinho dos Reis, Matthew Bryson, Xuebin Yao, Richard P. Martin, Santosh Nagarakatte:
Near-Storage Processing for Solid State Drive Based Recommendation Inference with SmartSSDs®. 177-186 - Nupur Sumeet, Deeksha Deeksha, Manoj Nambiar:
HLS_Profiler: Non-Intrusive Profiling Tool for HLS based Applications. 187-198 - Simonetta Balsamo, Andrea Marin, Isi Mitrani:
A Mixed PS-FCFS Policy for CPU Intensive Workloads. 199-210 - Stefan Kaalen, Anton Hampus, Mattias Nyberg, Olle Mattsson:
A Stochastic Extension of Stateflow. 211-222 - Adnan El Moussawi, Ricardo Rojas Ruiz, Nacéra Bennacer Seghouani:
Sampling-based Label Propagation for Balanced Graph Partitioning. 223-230
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