Conference Information

VECPAR 2018: International Meeting on High-Performance Computing for Computational Science

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Submission Date:
2018-07-20 Extended
Notification Date:
2018-08-18
Conference Date:
2018-09-17
Location:
Sao Pedro, Sao Paulo, Brazil
Years:
13
QUALIS: B4   Viewed: 20988   Tracked: 1   Attend: 0
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VECPAR
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Conference Partner Index (CP-I)

48.6 / 100
Ranked #1,980 of 5,697 conferences · Top 35%

#182 of 340 in Systems & Architecture

Academic recognition (35%)
54
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
71
Community attention (10%)
17
Public record completeness (15%)
25

Inputs used: Listed as QUALIS B4 · Editions on record: 13 · Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 3

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 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 1.1 · Computed 2026-10-12

Call For Papers

VECPAR 2018 (International Meeting on High-Performance Computing for Computational Science) is a QUALIS B4 conference held in Sao Pedro, Sao Paulo, Brazil on 2018-09-17. The paper submission deadline is 2018-07-20 (extended). Acceptance notifications are sent on 2018-08-18.

VECPAR encourages submission of research contributions from academia, research laboratories and industry to address pressing issues in computational science resulting from applications of interest to society and hardware innovations. Contributions are solicited in all areas of computational science and engineering (CS&E), including (but not limited to) the following topics: Large-scale Simulations in CS&E Parallel and Distributed Computing Parallel Algorithms Numerical Algorithms on Multicore, GPUs and Emerging Architectures Symbolic algorithms on Multicore, GPUs and Emerging Architectures Support Tools and Environments Scheduling and Load Balancing Performance Analysis, Evaluation and Tuning
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