Euro-Par 2021: Parallel Processing

Compilers, Tools and Environments.- ALONA: Automatic Loop Nest Approximation with Reconstruction and Space Pruning.- Automatic low-overhead load-imbalance detection in  MPI applications.- Performance and Power Modeling, Prediction and Evaluation.- Trace-driven Workload Generation and Execution.- Bilas Update on the Asymptotic Optimality of LPT.- E2EWatch: An End-to-end Anomaly Diagnosis Framework for Production HPC Systems.- Scheduling and Load Balancing.- Collaborative GPU Preemption via Spatial Multitasking for Efficient GPU Sharing.- A Fixed-Parameter Algorithm for Scheduling Unit dependent Tasks with Unit Communication Delays.- Plan-based Job Scheduling for Super computers with Shared Burst Buffers.- Taming Tail Latency in Key-Value Stores: a Scheduling Perspective.- A log-linear(2+5/6)-approximation algorithm for parallel machine scheduling with a single orthogonal resource.- An MPI-Parallel Algorithm for Mapping Complex Networks onto Hierarchical Architectures.- Pipelined Model Parallelism: Complexity Results and Memory Considerations.- Data Management, Analytics and Machine Learning.- Efficient and Systematic Partitioning of Large and Deep Neural Networks for Parallelization.- A GPU Architecture Aware Fine-Grain Pruning Technique for Deep Neural Networks.- Towards Flexible and Compiler-Friendly Layer Fusion for CNNs on Multicore CPUs.- Smart Distributed Data Sets for Stream Processing.- Cluster, Cloud and Edge Computing.- Colony: Parallel Functions as a Service on the Cloud-Edge Continuum.- Horizontal Scaling in Cloud using Contextual Bandits.- Geo-Distribute Cloud Application at the Edge.- A Fault Tolerant and Deadline Constrained Sequence Alignment Application on Cloud-based Spot GPU Instances.- Sustaining Performance While Reducing Energy Consumption: A Control Theory Approach.- Theory and Algorithms for Parallel and Distributed Processing.- Algorithm design for Tensor Units.- A Scalable Approximation