The 31st HIPS workshop, proposed as a full-day meeting at the IEEE IPDPS 2026 conference in New Orleans, Louisiana, USA, focuses on high-level programming of multiprocessors, compute clusters, and massively parallel machines. Like previous workshops in this series, which was initially established in 1996, this event will serve as a forum for research in the areas of parallel applications, language design, compilers, runtime systems, and programming tools. It provides a timely forum for scientists and engineers to present the latest ideas and findings in these rapidly changing fields. In our call for papers, we especially encouraged innovative approaches in the areas of emerging programming models for large-scale parallel systems and many-core architectures

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

Full papers may not exceed 10 single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. The authors, if accepted, will have the opportunity to present their work during the workshop.

Short papers may not exceed 4 single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. The authors, if accepted, will have the opportunity to give a short presentation during the workshop.

All submissions should be formatted according to the IPDPS paper style (IEEE conference style, single-blind).

Submission link: https://easychair.org/conferences/?conf=hips2026

List of Topics

• High-level and domain-specific programming systems

• Language/compiler support for AI/ML and Cybersecurity/Privacy (e.g., ML-based auto-tuning)

• Application of Large Language Models in high-level programming environments

• Higher-level programming support for quantum computing/quantum simulation

• Programming Models and Tools for the Edge-Cloud-HPC Continuum

• (Scalable) programming tools and tools for power & performance analysis, modeling, monitoring and debugging, and core correctness

• Compiler analysis and optimization techniques

• OS and architectural support for parallel programming and debugging

• Software and system support for extreme scalability including fault tolerance and power-aware HPC

• Programming environments for heterogeneous multicore systems and accelerators such as GPUs and FPGAs

• Solutions for programming paradigms for GPUs from different hardware vendors

• Performance portability

• Efforts for improving the sustainability of scientific software

• Languages and runtime support for multi-science/coupled codes, including but not limited to ensemble computing and uncertainty quantification

• Static and dynamic analysis for bug detection of parallel and distributed programs.

Committees

Program Committee

• Akihiro Ayashi, Georgia Tech, USA
• Amanda Bienz, University of New Mexico, USA
• Doru Popovici, Lawrence Berkeley National Lab, USA
• Gordon Moon, Sogang University, South Korea
• Jens Domke, RIKEN, Japan
• Jing Chen, Chalmers University of Technology, Sweden
• Jinsung Kim, Chung-Ang University, South Korea
• Jun Shirako, Georgia Tech, USA
• Kirshanthan Sundararajah, Virginia Tech, USA
• Malith Jayaweera, AWS, USA
• Nicholas Bohm-Agostini, Pacific Northwest National Lab, USA
• Osman Simsek, University of Basel, Switzerland
• Petros Anastasiadis, Huawei Research, Switzerland
• Richard Veras, University of Oklahoma, USA
• Sergio Iserte, Barcelona Supercomputing Center, Spain
• Seyong Lee, Oak Ridge National Laboratory, USA
• Sunita Chandrasekaran, University of Delaware, USA
• Tiago Cogumbreiro, University of Massachusetts Boston, USA

Organizing committee

• Martin Kong, The Ohio State University, Columbus, Ohio, USA, moreno.244@osu.edu
• Nikela Papadopoulou, University of Glasgow, Nikela.Papadopoulou@glasgow.ac.uk

Contact

Please contact the workshop chairs.