High Performance Computing. ISC High Performance 2022 International Workshops: Hamburg, Germany, May 29 – June 2, 2022, Revised Selected Papers

Preface
Organization
Contents
Compiler-Assisted Correctness Checking and Performance Optimization for HPC
	Preface to the Third Workshop on Compiler-Assisted Correctness Checking and Performance Optimization for HPC (C3PO’22)
	1 Introduction
	2 Organization
		2.1 Organizing Committee
		2.2 Program Committee
	3 Program
		3.1 Invited Talk
		3.2 Research Papers
Compiler-Assisted Instrumentation Selection for Large-Scale C++ Codes
	1 Introduction
	2 Related Work
	3 Tailored Instrumentation for OpenFOAM
		3.1 Design and Limitations of InstRO
	4 The CaPI Instrumentation Toolchain
		4.1 Instrumentation Workflow
		4.2 Implementation
		4.3 Score-P Integration
	5 Evaluation on OpenFOAM
	6 Usability and Validation Impediments
	7 Discussion
	8 Conclusion and Future Work
	References
Lightweight Array Contraction by Trace-Based Polyhedral Analysis
	1 Introduction
	2 Background
		2.1 Polyhedral Model
		2.2 Array Contraction
	3 Related Work
	4 Our Approach
		4.1 Overview of the Approach
		4.2 Generating Input Parameter Instances
		4.3 Inferring a Mapping on a Trace
		4.4 Interpolation
	5 Experimental Results
		5.1 Experimental Setup
		5.2 Results
	6 Conclusion
	References
Detecting Scale-Induced Overflow Bugs in Production HPC Codes
	1 Introduction
	2 Tracing Algorithm Extension
		2.1 Fortran Support
	3 Evaluation
	4 Related Work
	5 Conclusion
	References
HPC on Heterogeneous Hardware (H3)
AI Benchmarking for Science: Efforts from the MLCommons Science Working Group
	1 Introduction
	2 MLCommons Science Working Group
		2.1 About the Working Group
		2.2 Science Benchmarking
		2.3 Policies for Benchmarking
	3 Benchmarks for the First Release
		3.1 Cloud Masking (cloud-mask)
		3.2 STEMDL (stemdl)
		3.3 CANDLE-UNO (candle-uno)
		3.4 Time Series Evolution Operator (tevelop)
	4 Results from Initial Evaluations
		4.1 Results for the cloud-mask Benchmark
		4.2 Results for the stemdl Benchmark
		4.3 Results for the candle-uno Benchmark
		4.4 Results for the tevelop Benchmark
	5 Conclusions
	References
Performance Analysis of Matrix Multiplication for Deep Learning on the Edge
	1 Introduction
	2 Blocked Algorithms for GEMM
		2.1 The Baseline Algorithm for GEMM
		2.2 A Family of Algorithms for GEMM
	3 A Performance Simulator for GEMM Algorithms
		3.1 IoT Architecture Model
		3.2 Validation
	4 Performance Analysis
	5 Discussion and Future Work
	References
Strategies for Efficient Execution of Pipelined Conjugate Gradient Method on GPU Systems
	1 Introduction
	2 Related Work
	3 Background
	4 Methodology
		4.1 Hybrid-PIPECG-1 Method
		4.2 Hybrid-PIPECG-2 Method
		4.3 Hybrid-PIPECG-3 Method
	5 Experiments and Results
	6 Conclusion and Future Work
	References
A Multi-Level Platform-Independent GPU API for High-Level Programming Models
	1 Introduction
	2 Background
		2.1 Chapel
		2.2 Chapel\'s GPUIterator Module
	3 Design
		3.1 Motivation
		3.2 MID-LOW-level API: Thin Wrappers for Raw GPU Routines
		3.3 MID-level API: A Chapel Programmer Friendly GPU API
		3.4 Supporting Asynchrony
	4 Implementation
		4.1 Library Implementation
		4.2 The GPU Kernel Part by the User
	5 Performance and Productivity Evaluations
		5.1 Distributed Mini Applications
		5.2 Real-world Example: Distributed Tree Search
	6 Related Work
	7 Conclusions
	References
Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads
	1 Introduction
	2 Related Work
	3 Experimental Evaluation
		3.1 Workloads
		3.2 Computation Environment
		3.3 Measurement Setup
	4 Results
	5 Conclusion
	References
Malleability Techniques Applications in High Performance Computing
	Malleability Techniques and Applications in High-Performance Computing (HPCMALL 2022)
	1 Motivation and Objectives
	2 Topics
	3 Contributions
	4 Workshop organization
		4.1 Workshop Chairs
		4.2 Program Committee
	5 Workshop background and perspective
	6 Acknowledgements
Detecting Interference Between Applications and Improving the Scheduling Using Malleable Application Proxies
	1 Introduction
	2 Monitor Architecture
		2.1 System Monitor
	3 Building Synthetic Micro-benchmarks
		3.1 Application for Improving Machine Learning Algorithms
		3.2 Application for Application Interference Analysis
	4 Evaluation
		4.1 Proxy Accuracy
		4.2 Prediction Algorithms Improvement
		4.3 Interference Detection Using Malleable Proxies
	5 Related Work
	6 Conclusion
	References
An Emulation Layer for Dynamic Resources with MPI Sessions*-10pt
	1 Introduction
		1.1 Motivation
		1.2 Related Work
	2 MPI Sessions
	3 Dynamic Resources with MPI Sessions
		3.1 MPI Sessions Advantages Compared to MPI_COMM_WORLD
		3.2 Resource Changes with Process Sets
	4 Interface Design
		4.1 MPI Sessions Interface
		4.2 MPI_Session_get_psets
		4.3 Process Set Management Interface
		4.4 Resource Change Management Interface
	5 libmpidynres
		5.1 libmpidynres as an Emulation Layer on Top of MPI
		5.2 Emulated Process States
		5.3 Resource Manager
	6 Case Study
	7 Conclusion
	References
Exploiting OpenMP Malleability with Free Agent Threads and DLB
	1 Introduction
	2 Related Work
	3 Implementation
		3.1 The LLVM OpenMP Runtime
		3.2 The Role-Shifting Threads
		3.3 Integration with DLB
	4 Evaluation
		4.1 HPC Environment
		4.2 ParMmg
		4.3 Alya
	5 Conclusions
	References
QR Factorization Using Malleable BLAS on Multicore Processors
	1 Introduction
	2 Exploiting Parallelism in Task-Parallel Applications
	3 QR Factorization with Look-Ahead
	4 Performance Evaluation
	5 Conclusions
	References
IMSS: In-Memory Storage System for Data Intensive Applications
	1 Introduction
	2 Related Work
	3 IMSS Architecture Design
		3.1 Front-End Layer
		3.2 Back-End Layer
		3.3 IMSS Metadata Server
		3.4 Data Distribution Policies
	4 Deployment Strategies
	5 Experimental Evaluation
		5.1 Block Size Variation
		5.2 Scalability
		5.3 Metadata Overhead
	6 Conclusions
	References
On the Convergence of Malleability and the HPC PowerStack: Exploiting Dynamism in Over-Provisioned and Power-Constrained HPC Systems
	1 Introduction
	2 Technology Trend
		2.1 Hardware Architecture
		2.2 Malleability Support
		2.3 Co-scheduling
		2.4 Power-Aware HPC
	3 Problem Statement
		3.1 Job Classification
		3.2 Malleable Jobs Under Power Constraint
	4 Toward Convergence of Malleability and PowerStack
		4.1 Strawman Architecture
		4.2 Solution Overview and Requirements
		4.3 Our Ongoing Efforts on Software Tool Integration
	5 Conclusion
	References
The Fifth Workshop on Interactive High Performance Computing
Interactive, Cloud-Native Workflows on HPC Using KNoC
	1 Introduction
	2 Related Work
	3 Design
	4 Implementation
		4.1 The KNoC Virtual Kubelet Provider
		4.2 The Door Executable
		4.3 Integration with Argo Workflows
	5 Evaluation
	6 Conclusion
	References
Workflows to Driving High-Performance Interactive Supercomputing for Urgent Decision Making
	1 Introduction
	2 Background
	3 The Anatomy of Our Workflows
		3.1 Marshalling and Control System Workflows
		3.2 HPC Machine Side Workflows
	4 Case-Study: Interactive Urgent Space Weather Ensembles
	5 Conclusions
	References
The 3rd ISC HPC International Workshop on Monitoring and Operational Data Analytics
	The 3rd International Workshop on Monitoring and Data Analytics (MODA22)
	1 Introduction
	2 Workshop Organisation
		2.1 Organising Committee
			Workshop Chairs
			Publicity Chairs
			Program Committee
	3 Conclusion
Data Center Facility Monitoring with Physics Aware Approach
	1 Introduction
	2 Data Collection Infrastructure
	3 Data Center Anomaly Detection and Visualization
	4 Physics-Informed Anomaly Monitoring
	5 Conclusions
	References
Rule-Based Thermal Anomaly Detection for Tier-0 HPC Systems
	1 Introduction
		1.1 Background
	2 Related Work
	3 Methodology
		3.1 Dataset
		3.2 Rule-Based Statistical Method (Flags)
		3.3 Mathematical Definition of the Flags
	4 Experimental Results
		4.1 Severity Level of Anomaly (Flags)
		4.2 Detailed Study of Real Physical Failure
		4.3 Locations of Anomalies
	5 Summary and Future Work
	References
The 6th International Workshop on In Situ Visualization
	The 6th International Workshop on In Situ Visualization (WOIV’21)
	1 Background and Description
	2 Workshop Summary
		2.1 Keynote
		2.2 Capstone
		2.3 Papers
	3 Organising Committee
		3.1 Workshop Chairs
		3.2 Workshop Co-organizers
		3.3 Program Committee
In Situ Analysis and Visualization of Extreme-Scale Particle Simulations
	1 Introduction
	2 Related Works
	3 ParaView Catalyst-based in Situ Visual Analysis Workflow
		3.1 In Situ Catalyst Adapter Design
		3.2 In Situ Particle Density Estimation for Effective Visualization of Data Features
	4 Evaluation
	5 Conclusions
	References
Insite: A Pipeline Enabling In-Transit Visualization and Analysis for Neuronal Network Simulations
	1 Introduction
	2 Related Work
	3 Method
	4 Application
	5 Performance
	6 Conclusion and Future Work
	References
The Need for Pervasive In Situ Analysis and Visualization (P-ISAV)
	1 Introduction
	2 Related Work
	3 Our Position
		3.1 Suggested Research Directions
	4 Conclusion and Future Directions
	References
Interactive Visualization of Large-Scale Oil and Gas Reservoir Simulation Models
	1 Introduction
	2 Visualization Workflow
	3 Performance Testing
	4 Discussion
	5 Conclusions
	References
Cinema Transfer: A Containerized Visualization Workflow
	1 Introduction
	2 Related Work
	3 Workflow Description
	4 System Configuration
		4.1 Host Configuration
		4.2 Message Passing Interface in Containers
		4.3 Embedded MPI with Kubernetes
		4.4 Hybrid MPI with Singularity
		4.5 Tmpfs Filesystems
		4.6 Transferring Cinema Databases
	5 Evaluation
		5.1 Embedded MPI with Kubernetes, SENSEI In Situ
		5.2 Hybrid MPI with Singularity, SENSEI In Situ
		5.3 Hybrid MPI with Singularity, SENSEI In Transit
		5.4 Cinema_transfer Loop Time
	6 Discussion
	7 Conclusion
	References
The 17th Workshop on Virtualization in High Performance Cloud Computing
Virtual Clusters: Isolated, Containerized HPC Environments in Kubernetes
	1 Introduction
	2 Related Work
	3 Design Overview
	4 Implementation
	5 Evaluation
	6 Conclusion
	References
Analyzing Unikernel Support for HPC: Experimental Study of OpenMP
	1 Introduction
	2 A Background on Unikernels
	3 Experimental Setup
	4 Stability Evaluation
	5 Performance Evaluation
	6 Conclusion
	References
On the Use of Linux Real-Time Features for RAN Packet Processing in Cloud Environments
	1 Introduction
	2 Scheduling the BaseBand Application
	3 CPU Configuration
	4 Experimental Results
	5 Conclusions
	References
eBPF-based Extensible Paravirtualization
	1 Introduction
	2 eBPF
	3 Extensible Paravirtualization
	4 Virtual to Physical CPUs Affinity
		4.1 Implementation
		4.2 Tests
	5 Results
		5.1 Virtual CPU Pinning
		5.2 Virtual Hyper-thread Pinning
	6 Confidential Computing
	7 Conclusions and Future Work
	References
Author Index