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International Workshop on Scalable Compute Continuum (WSCC).- Compute Continuum: What Lies Ahead?.- An Algorithm for Tunable Memory Compression of Time-Based Windows for Stream Aggregates.- Latency-aware Placement of Stream Processing Operators.- Scalable and Efficient Architecture for Random Forest on FPGA-based Edge Computing.- MTCL: a Multi-Transport Communication Library.- Towards a Scalable Compute Continuum platform applied to electrical energy forecasting.- Evaluation of Adaptive Micro-batching Techniques for GPU-accelerated Stream Processing.- TDLPP Workshop Preface.- Sparse-aware CARM: Rooflining locality of sparse computations.- Enhancing Performance Monitoring in C/C++ Programs with EDPM: A Domain-Specific Language for Performance Monitoring.- Leveraging HPC Profiling & Tracing Tools to Understand the Performance of Particle-in-Cell Monte Carlo Simulations.- Performance Prediction for Sparse Matrix Vector Multiplication using Structure-dependent Features.- Analyzing One-Sided Communication Using Memory Access Diagrams.- Preface QuickPar23.- A Framework for Performance Optimization of Internet of Things Applications.- Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case.- Dynamic Adaptation of Urgent Applications in the Edge-to-Cloud Continuum.- HeteroPar 2023 Preface.- Leveraging MLIR for Loop Vectorization and GPU Porting of FFT Libraries.- Enabling Dynamic Selection of Implementation Variants in Component-Based Parallel Programming for Heterogeneous Systems.- MassiveClicks: A Massively-parallel Framework for Efficient Click Models Training.- Sparse matrix-vector product for the bmSparse matrix format in GPUs.- Power Estimation Models for Edge Computing Devices.- A performance analysis of leading many-core technologies for Cellular Automata execution.- An approach to performance portability through generic programming.- Boosting the Performance of Object Tracking with a Half-Precision Particle Filter on GPU.- Tall-and-Skinny QR Factorization for Clusters of GPUs using High-Performance Building Blocks.- Scheduling Fork-Joins to Heterogeneous Processors.- jPackFaaS: Profiling Java Serverless Functions Deployment Package Size in Federated FaaS.- ExaNBody : a HPC framework for N-Body applications