Workshop on Accelerated Machine Learning (AccML) @ HiPEAC 2027

9th Workshop on Accelerated Machine Learning (AccML)
Co-located with the HiPEAC 2027 Conference
January 19, 2027
Glasgow, United Kingdom

Topics of interest include (but are not limited to):

• Novel ML/AI systems: heterogeneous multi-/many-core systems, GPUs, NPUs/TPUs, ASICs, FPGAs, and chiplet-based accelerators;
• Software ML/AI acceleration: programming models, languages, primitives, libraries, compilers, runtimes, and frameworks;
• Novel ML/AI hardware accelerators and associated system software;
• Emerging semiconductor, near-/in-memory, analog, photonic, and neuromorphic technologies for ML/AI hardware acceleration;
• ML/AI for the design, optimization, autotuning, and management of hardware, compilers, runtimes, and systems;
• Cloud, data-center, edge, embedded, and on-device ML/AI computing: hardware and software to accelerate training and inference;
• Hardware/software co-design techniques for efficient model training and inference, including quantization, sparsity, pruning, compression, efficient attention, and distillation;
• Training, fine-tuning, serving, and deployment of foundation models, LLMs, multimodal models, large GNNs, recommender systems, agentic AI, and retrieval-augmented generation;

Invited Speakers
Anton Lokhmotov (KRAI): “KRAI’s vision on Accelerated Accelerator Programming”.
Miquel Moreto (BSC): “Designing HPC Architectures to Accelerate AI at BSC”

Submission
Papers will be reviewed by the workshop’s technical program committee according to criteria regarding the submission’s quality, relevance to the workshop’s topics, and, foremost, its potential to spark discussions about directions, insights, and solutions in the context of accelerating machine learning. Research papers, case studies, and position papers are all welcome.

In particular, we encourage authors to submit work-in-progress papers: To facilitate sharing of thought-provoking ideas and high-potential though preliminary research, authors are welcome to make submissions describing early-stage, in-progress, and/or exploratory work in order to elicit feedback, discover collaboration opportunities, and spark productive discussions.
The workshop does not have formal proceedings.

Important Dates
Submission deadline: November 13, 2026
Notification of decision: November 27, 2026

Links to the Workshop page
Organizers: https://accml.dcs.gla.ac.uk/workshop-2027-hipeac.html
HiPEAC: https://www.hipeac.net/2027/glasgow/#/program/8325/

Organizers
José L. Abellán (University of Murcia)
Valentin Radu (University of Sheffield)
Ulysse Beaugnon (Google DeepMind)
José Cano (University of Glasgow)