IPDPS 2027 — 41st IEEE International Parallel & Distributed Processing Symposium
by IEEE Computer Society Technical Committee on Parallel Processing (TCPP)
The IEEE forum for parallel and distributed computing — with a dedicated machine learning and AI track
About This Event
IPDPS 2027, the 41st IEEE International Parallel & Distributed Processing Symposium, takes place 1-5 June 2027 at the Hyatt Regency Bellevue on Seattle's Eastside in Washington State. Sponsored by the IEEE Computer Society's Technical Committee on Parallel Processing, IPDPS runs a full week: three days of peer-reviewed main-track sessions flanked by roughly twenty workshops, tutorials, keynotes, a panel, student mentoring and commercial exhibits. The 2027 call for papers is organised into seven tracks — Algorithms, Applications, Architecture, Machine Learning and Artificial Intelligence, Measurements/Modeling/Experiments, Programming Models & Compilers & Runtime Systems, and System Software — with the ML/AI track covering all areas of machine learning relevant to parallel and distributed computing. Abstracts are due 1 October 2026 and full manuscripts on 8 October 2026, followed by an early-reject round, author rebuttals and a revision cycle.
Key Dates & Deadlines
- Full manuscript submission deadline
- Early-reject notifications
- Author rebuttals due
- First-round decisions
- Revised submissions due
- Final decisions
- Camera-ready papers due
At a Glance
- Date
- June 1–5, 2027
- Location
- Hyatt Regency Bellevue, Washington
- Format
- In-Person
- Event Type
- Conference
- Status
- Upcoming
- Pricing
- Paid
- Organizer
- IEEE Computer Society Technical Committee on Parallel Processing (TCPP)
- Added
- Aug 21, 2026
- Updated
- Aug 21, 2026
Topics & Focus Areas
Who Should Attend
- ✓HPC architects
- ✓ML infrastructure engineers
- ✓Distributed systems engineers
- ✓Research scientists
- ✓Heads of AI platform engineering
- ✓Cloud infrastructure leaders
- ✓University faculty and PhD students
Why Attend
Anyone sizing a training cluster, or trying to get more out of one they already own, is making decisions that IPDPS papers answered first. The symposium is where the people who build schedulers, collective-communication libraries, memory hierarchies and distributed training runtimes present their results, and the dedicated ML/AI track means an infrastructure leader gets parallel-computing rigour applied directly to model training and inference rather than vendor benchmarks. Holding it in Bellevue puts it inside the Seattle cloud corridor, so the workshop and exhibit programme draws practitioners from the hyperscalers, making it a credible recruiting and benchmarking week as well as a technical one.
Event Features
- ✓Track: Machine Learning and Artificial Intelligence — all ML/AI areas relevant to parallel and distributed computing
- ✓Track: Architecture — existing and emerging HPC architectures, accelerators and memory systems
- ✓Track: Programming Models, Compilers and Runtime Systems
- ✓Track: Algorithms — computational and data-science algorithms for parallel and distributed environments
- ✓Track: System Software — storage, I/O and resource management
- ✓Around twenty co-located workshops plus tutorials, keynotes, a panel and commercial exhibits
What Makes This Unique
- ★One of the few top-tier systems venues with a dedicated Machine Learning and Artificial Intelligence track sitting alongside Architecture and Algorithms
- ★A full week rather than a single conference: around twenty workshops, tutorials, student mentoring and commercial exhibits wrapped around three days of main-track sessions
- ★41st edition — running since 1987 and home of the IEEE Computer Society Charles Babbage Award
- ★Two-stage review with dated early-reject notifications, author rebuttals and a revision round, all published in advance
Industries Represented
Pricing Details
Registration for IPDPS 2027 is not yet open and no pass prices have been published on the symposium site.
Organizer
IEEE Computer Society Technical Committee on Parallel Processing (TCPP)
ipdps.org/Frequently Asked
- When is IPDPS 2027?
- IPDPS 2027 takes place June 1–5, 2027 in Bellevue, Washington.
- Where is IPDPS 2027 held?
- IPDPS 2027 is held in Bellevue, Washington. The event format is in-person.
- What is the IPDPS 2027 submission deadline?
- The next IPDPS 2027 deadline is full manuscript submission deadline on Oct 8, 2026. Remaining dates: Early-reject notifications — Nov 30, 2026; Author rebuttals due — Dec 3, 2026; First-round decisions — Dec 18, 2026; Revised submissions due — Jan 18, 2027; Final decisions — Feb 1, 2027; Camera-ready papers due — Feb 19, 2027.
- How much does IPDPS 2027 cost?
- IPDPS 2027 is paid. Registration for IPDPS 2027 is not yet open and no pass prices have been published on the symposium site.
- Who should attend IPDPS 2027?
- IPDPS 2027 is aimed at HPC architects, ML infrastructure engineers, Distributed systems engineers, Research scientists, Heads of AI platform engineering, Cloud infrastructure leaders, University faculty and PhD students.
- What topics does IPDPS 2027 cover?
- IPDPS 2027 covers Parallel and distributed algorithms, Machine learning and AI at scale, HPC architectures and accelerators, Memory systems, Programming models, compilers and runtime systems, Performance measurement and modeling, System software, storage and I/O, Resource management.
Sources
This page was written from 3 sources, 1 on domains other than ipdps.org.
Stay Ahead of the Curve
Weekly enterprise AI insights for technology leaders. No spam, no vendor pitches—unsubscribe anytime.
SubscribeRelated Events
MODELS 2026 - ACM/IEEE 29th International Conference on Model Driven Engineering Languages and Systems
The flagship model-driven engineering conference, with a EUR 60 Industry Day and modelling applied to machine learning, cloud and cyber-physical systems.
ICMI 2026 — 28th ACM International Conference on Multimodal Interaction
The premier venue for multimodal AI and human-computer interaction, Naples, 5-9 October 2026
ICMLA 2026 — International Conference on Machine Learning and Applications
An in-person, IEEE-co-sponsored conference on applied machine learning and new algorithms
ScaleUp:AI 2026
Insight Partners' invitation-scale AI conference, livestreamed worldwide