Accepted Papers
Research Track
Full conference papers
Rizwan Ashraf and Roberto Gioiosa. Exploring the Use of Novel Spatial Accelerators in Scientific Applications
Simonetta Balsamo, Andrea Marin and Isi Mitrani. A mixed PS-FCFS policy for CPU intensive workloads
Sofiane Chetoui, Michael Chen, Abhinav Golas, Farrukh Hijaz, Adel Belouchrani and Sherief Reda. Alternating Blind Identification of Power Sources for Mobile SoCs
Stefan Kaalen, Mattias Nyberg, Anton Hampus and Olle Mattsson. A Stochastic Extension of Stateflow
Richard Li, Min Du, Zheng Wang, Hyunseok Chang, Sarit Mukherjee and Eric Eide. Toward Automatic Performance Anomaly Explanation in Microservices
Mohammad Reza Saleh Sedghpour, Cristian Klein and Johan Tordsson. An empirical study of service mesh traffic management policies for microservices
Markus Velten, Robert Schöne, Thomas Ilsche and Daniel Hackenberg. Memory Performance of AMD EPYC Rome and Intel Cascade Lake SP Server Processors
Chuanming Shao, Jinyang Guo, Pengyu Wang, Jing Wang, Chao Li and Minyi Guo. Oversubscribing GPU Unified Virtual Memory: Implications and Suggestions
Rico van Stigt, Stephen Nicholas Swatman and Ana Lucia Varbanescu. Isolating GPU Architectural Features using Parallelism-Aware Microbenchmarks
Short conference papers
Alexandru Baluta, Joydeep Mukherjee and Marin Litoiu. Machine Learning based Interference Modelling in Cloud-Native Applications
Danilo de Goede, Duncan Kampert and Ana Lucia Varbanescu. The cost of reinforcement learning for game engines: the AZ-Hive case-study
Mark Leznik, Johannes Grohmann, Nina Kliche, André Bauer, Daniel Seybold, Simon Eismann, Samuel Kounev and Jörg Domaschka. Same, Same, but Dissimilar: Exploring Measurements for Workload Time-series Similarity
Mikael Sabuhi, Petr Musilek and Cor-Paul Bezemer. Studying the Performance Risks of Upgrading Docker Hub Images: A Case Study of WordPress
Industry/Experience Track
Full conference papers
Ashwin Krishnan, Manoj Nambiar, Nupur Sumeet and Sana Iqbal. Performance Model and Profile Guided Design of a High-Performance Session Based Recommendation Engine
Lixiang Luo, Ihsin Chung, Ming-Hung Chen, Seetharami Seelam and Yun Joon Soh. NVMe Virtualization for Cloud Virtual Machines
Mohammadreza Soltaniyeh, Veronica Lagrange Moutinho Dos Reis, Matt Bryson, Xuebin Yao, Richard Martin and Santosh Nagarakatte. Near-Storage Processing for Solid State Drive Based Recommendation Inference with SmartSSDs®
Martin Straesser, Johannes Grohmann, Joakim Von Kistowski, Simon Eismann, Andre Bauer and Samuel Kounev. Why Is It Not Solved Yet? Challenges for Production-Ready Autoscaling
Nupur Sumeet, Manoj Nambiar and Deeksha Deeksha. HLS_Profiler: Non-Intrusive Profiling for end-to-end Performance Analysis of HLS based Applications
Short conference papers
Wilson Feng, Shucai Yao, Md Aamir Raihan, Kai Ting Wang, Laichun Feng and Chunrong Xu. Extending SYCL’s Programming Paradigm with Tensor-based SIMD Abstractions
Adnan El Moussawi, Ricardo Rojas Ruiz and Nacéra Bennacer Seghouani. Sampling-based Label Propagation for Balanced Graph Partitioning
Kim Long Ngo, Joydeep Mukherjee, Zhen Ming Jiang and Marin Litoiu. Evaluating the Scalability and Elasticity of Function as a Service Platform
Seetharami Seelam and Robert Walkup. HPC-on-Cloud:Best Practises for HPC Workloads on a Public Cloud
WIP Track Papers
Marius Hadry, Veronika Lesch and Samuel Kounev. FADE: Towards Flexible and Adaptive Distance Estimation Considering Obstacles
Gagan Somashekar, Anurag Dutt, Rohith Vaddavalli, Sai Bhargav Varanasi and Anshul Gandhi. B-MEG: Bottlenecked-Microservices Extraction Using Graph Neural Networks
Data Challenge
André Bauer, Martin Straesser, Lukas Beierlieb, Maximilian Meißner and Samuel Kounev. Automated Triage of Performance Change Points Using Time Series Analysis and Machine Learning
Jie Chen, Hu Haiyang and Dongjin Yu. Characterizing and Triaging Change Points
Md Shahriar Iqbal, Mark Leznik, Igor Trubin, Arne Lochner, Pooyan Jamshidi and André Bauer. Change Point Detection for MongoDB Time Series Performance Regression
Luc Lesoil, Mathieu Acher, Arnaud Blouin and Jean-Marc Jézéquel. Beware of Variability Layers When Reasoning about Performance Evolution of MongoDB
Poster & Demo
André Bauer, Mark Leznik, Md Shahriar Iqbal, Daniel Seybold, Igor Trubin, Benjamin Erb, Jörg Domaschka and Pooyan Jamshidi. SPEC Research — Introducing the Predictive Data Analytics Working Group
Nupur Sumeet, Manoj Nambiar and Deeksha Deeksha. HLS_Profiler: Non-Intrusive Profiling tool for HLS based Applications
Chetan Phalak, Aniruddha Sen, Dheeraj Chahal and Mayank Mishra. MAPLE: Model Aggregation and Prediction for Learned Ecosystem
Junjie Li. SPEChpc 2021 Benchmark Suites for Modern HPC Systems
Demos by research or industry papers with accepted artifact
Stefan Kaalen, Mattias Nyberg, Anton Hampus and Olle Mattsson. A Stochastic Extension of Stateflow
Kim Long Ngo, Joydeep Mukherjee, Zhen Ming Jiang and Marin Litoiu. Supplemental Material for Evaluating the Scalability and Elasticity of Function as a Service Platform
Alexandru Baluta, Joydeep Mukherjee and Marin Litoiu. Supplemental Material for Machine Learning based Interference Modelling in Cloud-Native Applications