Conference Information

PP 2024: SIAM Conference on Parallel Processing for Scientific Computing

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Submission Date:
2023-06-30
Notification Date:
Conference Date:
2024-03-05
Location:
Baltimore, Maryland, USA
Years:
24
Viewed: 23116   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

49.4 / 100
Ranked #1,654 of 5,655 conferences · Top 30%

#163 of 340 in Systems & Architecture

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
87
Community attention (10%)
8
Public record completeness (15%)
25

Inputs used: Editions on record: 24 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · 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 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-09

Call For Papers

PP 2024 (SIAM Conference on Parallel Processing for Scientific Computing) is an academic conference held in Baltimore, Maryland, USA on 2024-03-05. The paper submission deadline is 2023-06-30.

This is the conference of the SIAM Activity Group on Supercomputing. Society for Industrial and Applied Mathematics is proud to present the Twentieth Conference on Parallel Processing for Scientific Computing. This series of conferences has played a key role in promoting parallel scientific computing, algorithms for parallel systems, and parallel numerical algorithms. The conference is unique in its emphasis on the intersection between high performance scientific computing and scalable algorithms, architectures, and software. The conference provides a forum for communication among the applied mathematics, computer science, and computational science and engineering communities. Included Themes Compilers and programming systems Data analysis and visualization Education in HPC Fault-tolerance Large-scale parallel applications Parallel computer systems Performance analysis, tuning, and debugging Reproducibility Scalable parallel algorithms Scientific workflows Contributions are especially welcome in: Algorithms and applications on multiphysics and multiscale computing Frontiers of scientific computing Integration of scientific computing and machine learning methods Post Moore systems and algorithms Verification, validation, and uncertainty quantification
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