Conference Information

PDP 2027: International Conference on Parallel, Distributed and Network-Based Processing

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Submission Date:
2026-10-19 Closed
Notification Date:
2026-12-07
Conference Date:
2027-03-17
Location:
Barcelona, Spain
Years:
ICORE: C   QUALIS: B1   Viewed: 41669   Tracked: 23   Attend: 2
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PDP
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Conference Partner Index (CP-I)

69.4 / 100
Ranked #355 of 5,768 conferences · Top 7%
Academic recognition (35%)
78
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
96
Community attention (10%)
45
Public record completeness (15%)
55

Inputs used: Listed as ICORE C, QUALIS B1 · Editions on record: 35 · Researchers following it here: 23 · Researchers who opened this page in the past 24 months: 6

Missing from the public record: Historical acceptance rates (+4.5) · 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 80% - 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 2026-11-04

Call For Papers

PDP 2027 (International Conference on Parallel, Distributed and Network-Based Processing) is a ICORE C / QUALIS B1 conference held in Barcelona, Spain on 2027-03-17. The paper submission deadline is 2026-10-19. Acceptance notifications are sent on 2026-12-07.

Topics of interest PDP welcomes original, unpublished work across (but not limited to) the following areas. 01 Algorithms Resource-aware & power-efficient algorithms; real-time and fault-tolerant distributed/parallel algorithms; graph and network algorithms. 02 Applications Numerical and scientific applications with multi-level parallelism; computations over irregular domains. 03 Data-centric processing Scientific workflows; large-scale data processing & management; next-generation storage; FAIR/open data systems. 04 Distributed AI Federated and distributed learning; AI at scale; training of LLMs; benchmarking for AI workloads. 05 Distributed computing Cluster, grid, fog/edge, mobile and cloud systems; service-oriented processing; cost, security & energy models. 06 Parallel computing Accelerator-based systems (GPU, FPGA, neuromorphic, post-CMOS); embedded parallel systems; fault tolerance. 07 Programming models & tools Languages, compilers, middleware and OS; libraries, runtime and systems software; performance prediction. 08 HPC state of practice Managing systems, storage & facilities; HPC in the cloud; networking and cybersecurity; training strategies. 09 Systems & architectures High-throughput & streaming architectures; heterogeneous and hybrid systems; post-CMOS architectures.
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