PPoPP 2027 — ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
by ACM SIGPLAN
Where the compilers, runtimes and parallel algorithms that make AI accelerators usable are designed
About This Event
PPoPP 2027, the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, runs 20-24 March 2027 in Salt Lake City, Utah, co-located with HPCA, CGO and CC 2027 in the annual joint architecture-and-compilers week. PPoPP is the premier forum for work on all aspects of parallel and performance programming — theoretical foundations, techniques, languages, compilers, runtime systems, tools, applications and practical experience — across multicore, heterogeneous and distributed systems, accelerators including GPUs and FPGAs, and cloud infrastructure. The 2027 call explicitly targets new and emerging parallel workloads such as artificial intelligence and large-scale scientific and enterprise computing, and includes dedicated topic areas for parallel programming on AI accelerators and for using machine learning inside parallel systems for design, optimisation and runtime decisions. Papers were submitted by 3 August 2026, with an author response period in early October, notification on 26 October 2026, and a full artifact evaluation track running to December 2026.
Key Dates & Deadlines
- Author response (rebuttal) period opens
- Author response (rebuttal) period closes
- Notification to authors
- Artifact submission deadline
- Artifact notification
- Camera-ready deadline
At a Glance
- Date
- March 20–24, 2027
- Location
- Salt Lake City, Utah
- Format
- In-Person
- Event Type
- Conference
- Status
- Upcoming
- Pricing
- Paid
- Organizer
- ACM SIGPLAN
- Added
- Aug 17, 2026
- Updated
- Aug 17, 2026
Topics & Focus Areas
Who Should Attend
- ✓Infrastructure and platform engineering leaders running GPU and accelerator fleets
- ✓Compiler, runtime and systems engineers building AI inference and training stacks
- ✓HPC directors in national labs, energy, finance and manufacturing
- ✓Performance engineers optimising large-scale ML and scientific workloads
- ✓Chip and accelerator vendors' software teams
- ✓Academic researchers in parallel computing and programming languages
Why Attend
For anyone whose budget is dominated by GPU capacity, this is the venue where the efficiency of that spend is actually determined. The work presented at PPoPP is the compiler, runtime and scheduling layer that decides whether an accelerator fleet runs at 30 percent or 70 percent utilisation, and the artifact track means the numbers ship with runnable code you can evaluate against your own workloads. Co-location with HPCA, CGO and CC makes it the single most efficient week in the year for a platform engineering leader to cover the whole hardware-to-runtime stack.
Event Features
- ✓Main research paper track (submissions closed 3 August 2026, notification 26 October 2026)
- ✓Artifact evaluation track with submission on 9 November 2026 and notification on 14 December 2026
- ✓Author response (rebuttal) period, 6-8 October 2026
- ✓Co-located with HPCA 2027, CGO 2027 and CC 2027
- ✓CFP topic area on parallel programming for AI accelerators, GPUs and FPGAs
- ✓CFP topic area on machine learning applied to parallel system design and runtime decisions
What Makes This Unique
- ★Co-located with HPCA, CGO and CC 2027, so one trip covers computer architecture, compiler construction, code generation and parallel programming in the same week — the full stack from silicon to runtime
- ★Full artifact evaluation track with its own submission and notification deadlines, meaning accepted performance claims come with reproducible code rather than plots alone
- ★The CFP names AI accelerators and large-scale AI workloads as first-class topics, so it is where the software layer under GPU fleets gets designed, not where models are discussed
- ★Rated CCF A and QUALIS A2 — among the highest-selectivity venues in parallel computing
- ★Author response period built into the review cycle, so accepted papers have survived a rebuttal round
Industries Represented
Pricing Details
Registration rates for 2027 are not published as of August 2026; PPoPP registers jointly with the co-located HPCA/CGO/CC week and has historically offered ACM/SIGPLAN member and student rates.
Organizer
ACM SIGPLAN
sigplan.org/Frequently Asked
- When is PPoPP 2027?
- PPoPP 2027 takes place March 20–24, 2027 in Salt Lake City, Utah.
- Where is PPoPP 2027 held?
- PPoPP 2027 is held in Salt Lake City, Utah. The event format is in-person.
- What is the PPoPP 2027 submission deadline?
- The next PPoPP 2027 deadline is author response (rebuttal) period opens on Oct 6, 2026. Remaining dates: Author response (rebuttal) period closes — Oct 8, 2026; Notification to authors — Oct 26, 2026; Artifact submission deadline — Nov 9, 2026; Artifact notification — Dec 14, 2026; Camera-ready deadline — Dec 18, 2026.
- How much does PPoPP 2027 cost?
- PPoPP 2027 is paid. Registration rates for 2027 are not published as of August 2026; PPoPP registers jointly with the co-located HPCA/CGO/CC week and has historically offered ACM/SIGPLAN member and student rates.
- Who should attend PPoPP 2027?
- PPoPP 2027 is aimed at Infrastructure and platform engineering leaders running GPU and accelerator fleets, Compiler, runtime and systems engineers building AI inference and training stacks, HPC directors in national labs, energy, finance and manufacturing, Performance engineers optimising large-scale ML and scientific workloads, Chip and accelerator vendors' software teams, Academic researchers in parallel computing and programming languages.
- What topics does PPoPP 2027 cover?
- PPoPP 2027 covers Parallel programming for emerging hardware, including AI accelerators, Languages, compilers and runtime systems for parallel programs, Machine learning for parallel systems design, optimisation and runtime decisions, Performance analysis, debugging and optimisation, Concurrent data structures and synchronisation, High-performance libraries and parallel algorithms, Fault tolerance and middleware for large-scale systems, Domain-specific languages and parallel programming frameworks.
Sources
This page was written from 3 sources, 2 on domains other than ppopp27.sigplan.org.
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