Conference Information

PCT 2024: Parallel Computational Technologies

Please Login to view website of conference
Free account: view official websites, track deadlines, and get email reminders.
Submission Date:
2024-02-01 Closed
Notification Date:
2024-03-01
Conference Date:
2024-04-02
Location:
Chelyabinsk, Russia
Years:
18
Viewed: 13963   Tracked: 0   Attend: 0
Embed deadline badge
PCT
Get this via API
Search and ranking lists need no credentials at all; full detail for this page needs a free API key. See the developer guide.

Conference Partner Index (CP-I)

47.9 / 100
Ranked #2,145 of 5,696 conferences · Top 38%
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%)
79
Community attention (10%)
8
Public record completeness (15%)
25

Inputs used: Editions on record: 18 · 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 2026-10-13

Call For Papers

PCT 2024 (Parallel Computational Technologies) is an academic conference held in Chelyabinsk, Russia on 2024-04-02. The paper submission deadline is 2024-02-01. Acceptance notifications are sent on 2024-03-01.

The scope of the conference includes, but not limited to, the following topics: Parallel and distributed computing technologies. Universal high-level languages and libraries for parallel programming. Methods, algorithms and tools for analysis, debugging and optimization of parallel programs. Cloud computing. Universal technologies and cloud engineering systems. Cloud systems middleware. Cloud computing economics. Prospective multiprocessor architectures. Reconfigurable and hybrid multiprocessor systems. Emerging multiprocessor architectures. Multiprocessor systems with multicore accelerators. Modeling, development and testing of new hardware architectures for high performance computing. Big data and data mining. Parallel and distributed methods of big data processing. Data mining on multicore and multiprocessor systems. Artificial neural networks and deep learning. Parallel methods and algorithms for learning deep neural networks. Management, administration, monitoring and testing of multiprocessor systems. Methods, algorithms and tools of management, administration and monitoring of multiprocessor systems. Parallel storage systems. Testing methods development for performance evaluating of multiprocessor systems. Computational Mathematics. Solution of computationally intensive mathematical problems using multiprocessor computer systems. Use of multiprocessor systems for solving problems in mathematical economics and optimization. Computational Physics. High-performance modeling of physical processes. Computational Chemistry. High-performance modeling of chemical processes. Gas Hydrodynamics and heat transfer. Theory and practice of solving problems of computational gas hydrodynamics on supercomputers and distributed computing environments. High nonlinear and rapid processes in mechanics. Use of supercomputer technology to analyze high nonlinear and rapid processes in solid and liquid mechanics. Bioinformatics and medicine. High-performance computing in bioinformatics, bioengineering and medicine. Nanotechnology. High-performance computing in nanocomposites modeling. Geoinformatics. Use of supercomputer technologies in geoinformatics, including climate process modeling and solving ecological problems. Cryptography. Parallel methods and algorithms of encryption and protection confidentiality and authenticity of information. Image processing and visualization. Parallel methods and algorithms for image processing and visualization of results of scientific computing. Computer algebra. Parallel methods and algorithms for symbolic computation. Supercomputer SEC. Experience in establishing scientific-educational centers that focus on popularization and implementation of supercomputer technology in education, science and technology. Methods of teaching parallel computing technologies.
Last updated by Dou Sun on

Related Conferences

Related Journals

CCFFull NameImpact FactorPublisherISSN
International Journal of Parallel Programming0.9Springer0885-7458
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

Comments 0

No comments yet.

Please Login to post a comment