HLPP 2026 will be held on 9 & 10 July in Paris.
HLPP-2026 EasyChair call for papers: https://easychair.org/cfp/HLPP-2026
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. Previous HLPP proceeding publications are shown here: http://hlpp.net/
HLPP 2026 website: https://sites.google.com/view/hlpp-2026
HLPP 2026 call for papers: https://easychair.org/cfp/HLPP-2026
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
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
Submission due date: April 10, 2026, AoE April 26, 2026, AoE
Authors notification: May 31, 2026
Journal Special Issue paper submission: end of September 2026