Conference Information

ISPDC 2027: International Symposium on Parallel and Distributed Computing

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Submission Date:
2027-02-26 Due in 125 days
Notification Date:
2027-04-19
Conference Date:
2027-07-07
Location:
Limassol, Cyprus
Years:
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ICORE: C   QUALIS: B2   Viewed: 34160   Tracked: 14   Attend: 2
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ISPDC
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Conference Partner Index (CP-I)

68.2 / 100
Ranked #370 of 5,759 conferences · Top 7%

#66 of 341 in Systems & Architecture

Academic recognition (35%)
68
Submission selectivity (20%)
50
Editions held (20%)
89
Community attention (10%)
40
Public record completeness (15%)
85

Inputs used: Listed as ICORE C, QUALIS B2 · Acceptance rate: 53.6% (mean of 1 editions on file) · Editions on record: 26 · Researchers following it here: 14 · Researchers who opened this page in the past 24 months: 5

Missing from the public record: Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 100% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.2 · Computed 2026-10-24

Call For Papers

ISPDC 2027 (International Symposium on Parallel and Distributed Computing) is a ICORE C / QUALIS B2 conference held in Limassol, Cyprus on 2027-07-07. The paper submission deadline is 2027-02-26. Acceptance notifications are sent on 2027-04-19.

Distributed systems have seen an increasing convergence between traditional workflows (such as HPC simulations) and agentic AI workflows. Simulation remains the workhorse of high-performance computing, but supercomputers are increasingly asked to host a second class of workload alongside it. Agentic AI systems (e.g., foundation models acting autonomously through iterative loops of reasoning and tool use) now issue tool calls that are themselves HPC tasks: simulations, solvers, and data-analysis pipelines. Serving them adds interactive, asynchronous and bursty demands to machines designed for bulk-synchronous batch jobs. The question this raises for our community is not one of replacement but of extension: how schedulers, runtimes, communication layers, I/O stacks and memory hierarchies should be extended so that agentic and other AI workloads can coexist with, and feed back into, traditional large-scale computation. ISPDC welcomes work on these new capabilities as much as continued advances in the classical foundations of parallel and distributed computing. We invite original research contributions to ISPDC 2027 in the following categories: full papers, short papers, posters, and talks. Topics of Interest Contributions are welcome in, but not limited to, the following areas: Algorithms and models for parallel and distributed computing Parallel and distributed workflows for large-scale applications, including AI-driven and agentic orchestration Applications of parallel and distributed systems (HPC, Big Data, AI, Quantum Computing) Performance modeling, analysis, and evaluation Parallel and distributed I/O, storage and data management Architectures and environments for parallel and distributed computing Resource management and scheduling, including co-scheduling of interactive AI services with batch workloads Reproducibility and explainability in parallel and distributed computing Cloud computing, edge computing, federated learning Machine learning in the context of parallel and distributed systems Distributed training and inference at scale: parallel strategies, memory offloading, checkpointing, model serving Extending HPC systems for agentic AI: tool calls into simulations, agent memory and context data management
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Acceptance Ratio

Average acceptance rate: 53.6% over 1 years (2006–2006).

YearSubmittedAcceptedAccepted(%)
2006844553.6%

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