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PCT 2024: Parallel Computational Technologies

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投稿締切日:
2024-02-01 締切済み
通知日:
2024-03-01
開催日:
2024-04-02
開催地:
Chelyabinsk, Russia
開催回数:
18
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会伴インデックス (CP-I)

47.9 / 100
全 5,696 件中 第 2,145 位 · 上位 38%
学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
79
コミュニティの注目度 (10%)
8
公開情報の充実度 (15%)
25

使用した入力: 確認できる開催回数：18 · 過去 24 か月にこのページを開いた研究者：2 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 過去の開催回 (+3.0) · 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 45% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-10-13

論文募集

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.
最終更新：Dou Sun（）

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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
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

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