International workshop on High-Level Parallel Programming and Applications

概要

Aims and Scope As processor and system manufacturers adjust their roadmaps towards increasing levels of both inter and intra-chip parallelism, so the urgency of reorienting the mainstream software industry towards these architectures grows. At present, popular parallel and distributed programming methodologies are dominated by low-level techniques such as send/receive message passing, or equivalently unstructured shared memory mechanisms. Higher-level, structured approaches offer many possible advantages and have a key role to play in the scalable exploitation of ubiquitous parallelism. HLPP symposia provide a forum for discussion and research about such high-level approaches to parallel and distributed programming. HLPP 2026, on 9-10 July in Paris, encourages submissions on topics related to all aspects of parallel computing, with a focus on high-level programming of multi-/many-cores, heterogeneous compute clusters, and highly parallel or distributed infrastructures. Papers accepted for presentation and presented on-site at the conference will be proposed for publication in the International Journal of Parallel Programming special issue after their latest version's reviewing. Topics of Interest High-level parallel/distributed programming models, libraries, tools High-level parallel programming for heterogeneous platforms with HW accelerators Expressiveness, programmability and productivity of parallel programming languages, models and APIs Parallel performance models and performance portability High-Performance data analytics and machine learning using high-level approaches Semantics and implementation of high-level parallelism in programming languages and libraries Verification of declarative parallel and distributed programs Efficient code generation, auto-tuning, and optimization for parallel and distributed programs Model-driven software engineering for parallel and distributed systems Domain-specific parallel languages: design, implementation and applications Parallel and distributed applications using high-level languages and libraries Parallel programming, performance management and energy consumption of AI systems AI systems for generation of parallel code and parallel algorithms Submission and Review Process Up to 20 pages including figures, tables, and references. Springer-Nature journal format . Each paper will be peer-reviewed by at least three reviewers (single-blind review) EasyChair submission: https://easychair.org/conferences/?conf=hlpp2026

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