![]() |
| |||||||||||||||
HLPP 2025 : 18th International Symposium on High-level Parallel Programming and Applications | |||||||||||||||
Link: https://hlpp-conference.github.io/hlpp-2025/ | |||||||||||||||
| |||||||||||||||
Call For Papers | |||||||||||||||
********************************************************************
High-Level Parallel Programming and Applications Symposium HLPP 2025 Call for Papers July 3-4, 2025 - Innsbruck, Austria Submission deadline: April 11, 2025 https://hlpp-conference.github.io/hlpp-2025/ ******************************************************************** HLPP '25 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. Authors of accepted research papers will be invited to submit their work to the Springer-Nature International Journal of Parallel Programming (IJPP) Special Issue of the HLPP 2025 symposium. IMPORTANT DAYS and DEADLINES * Abstract submission due date: April 4, 2025, AoE * Submission due date: April 11, 2025, AoE * Authors notification: May 30, 2025 * Journal Special Issue paper submission: end of September 2025 SUBMISSION and REVIEW PROCESS * Up to 20 pages including figures, tables, and references in Springer-Nature journal format. * Each paper will be peer-reviewed by at least three reviewers * Submission: EasyChair link in the HLPP 2025 website. TOPICS OF INTEREST include but are not limited to: * 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 LOCAL ORGANIZERS and PROGRAM CHAIRS Philipp Gschwandtner (University of Innsbruck) Peter Thoman (University of Innsbruck) PROGRAM COMMITTEE See the confirmed list on the HLPP 2025 website (https://hlpp-conference.github.io/hlpp-2025/organization/) |
|