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عنوان
Parallel processing and applied mathematics :

پدید آورنده
Roman Wyrzykowski, Jack Dongarra, Ewa Deelman, Konrad Karczewski (eds.).

موضوع
Mathematics, Congresses.,Parallel processing (Electronic computers), Congresses.,Algorithms & data structures.,Artificial intelligence.,Computer architecture & logic design.,Computer networking & communications.,Computers-- Data Processing.,Computers-- Hardware-- General.,Computers-- Intelligence (AI) & Semantics.,Computers-- Logic Design.,Computers-- Programming-- Algorithms.,Computers-- Software Development & Engineering-- General.,Mathematical theory of computation.,Mathematics.,Parallel processing (Electronic computers),Software Engineering.

رده
QA76
.
58

کتابخانه
مرکز و کتابخانه مطالعات اسلامی به زبان‌های اروپایی

محل استقرار
استان: قم ـ شهر: قم

مرکز و کتابخانه مطالعات اسلامی به زبان‌های اروپایی

تماس با کتابخانه : 32910706-025

شابک

شابک
3319780239
شابک
3319780247
شابک
9783319780238
شابک
9783319780245
شابک اشتباه
9783319780238

عنوان و نام پديدآور

عنوان اصلي
Parallel processing and applied mathematics :
نام عام مواد
[Book]
ساير اطلاعات عنواني
12th International Conference, PPAM 2017, Lublin, Poland, September 10-13, 2017, Revised selected papers.
نام نخستين پديدآور
Roman Wyrzykowski, Jack Dongarra, Ewa Deelman, Konrad Karczewski (eds.).
مشخصه جلد
Part I /

وضعیت نشر و پخش و غیره

محل نشرو پخش و غیره
Cham, Switzerland :
نام ناشر، پخش کننده و غيره
Springer,
تاریخ نشرو بخش و غیره
2018.

مشخصات ظاهری

نام خاص و کميت اثر
1 online resource (xxv, 660 pages) :
ساير جزييات
illustrations

فروست

عنوان فروست
Lecture notes in computer science,
عنوان فروست
LNCS sublibrary. SL 1, Theoretical computer science and general issues
مشخصه جلد
10777
شاپا ي ISSN فروست
0302-9743 ;

يادداشت کلی

متن يادداشت
Includes author index.

یادداشتهای مربوط به مندرجات

متن يادداشت
Numerical Algorithms and Parallel Scientific Computing -- Advances in Incremental PCA Algorithms -- Algorithms for forward and backward solution of the Fokker-Planck equation in the heliospheric transport of cosmic rays -- Efficient Evaluation of Matrix Polynomials -- A Comparison of Soft-Fault Error Models in the Parallel Preconditioned Flexible GMRES -- Multilayer Approach for Joint Direct and Transposed Sparse Matrix Vector Multiplication for Multithreaded CPUs -- Comparison of parallel time-periodic Navier-Stokes solvers -- Blocked Algorithms for Robust Solution of Triangular Linear Systems -- A Comparison of Accuracy and Efficiency of Parallel Solvers for Fractional Power Diffusion Problems -- Efficient Cross Section Reconstruction on Modern Multi and Many Core Architectures -- Parallel assembly of ACA BEM matrices on Xeon Phi clusters -- Stochastic bounds for Markov chains on Intel Xeon Phi coprocessor -- Particle Methods in Simulations -- Fast DEM collision checks on multicore nodes -- A Space and Bandwidth Efficient Multicore Algorithm for the Particle-in-Cell Method -- Load Balancing for Particle-in-Cell Plasma Simulation on Multicore Systems -- Task-Based Paradigm of Parallel Computing -- TaskUniVerse: A Task-Based Unified Interface for Versatile Parallel Execution -- Comparison of Time and Energy Oriented Scheduling for Task-based Programs -- Experiments with sparse Cholesky using a parametrized task graph Implementation -- A Task-Based Algorithm for Reordering the Eigenvalues of a Matrix in Real Schur Form -- GPU Computing -- Radix Tree for Binary Sequences on GPU -- A comparison of performance tuning process for different generations of NVIDIA GPUs and an example scientific computing algorithm -- NVIDIA GPUs Scalability to Solve Multiple (Batch) Tridiagonal Systems Implementation of cuThomasBatch -- Two-Echelon System Stochastic Optimization with R and CUDA -- Parallel Hierarchical Agglomerative Clustering for fMRI Data -- Parallel Non-numerical Algorithms -- Two Parallelization Schemes for the Induction of Nondeterministic Finite Automata on PCs -- Approximating Personalized Katz Centrality in Dynamic Graphs -- Graph-Based Speculative Query Execution for RDBMS -- A GPU Implementation of Bulk Execution of the Dynamic Programming for the Optimal Polygon Triangulation -- Performance Evaluation of Parallel Algorithms and Applications -- Early performance evaluation of the hybrid cluster with torus interconnect aimed at molecular-dynamics simulations -- Load balancing for CPU-GPU coupling in Computational Fluid Dynamics -- Implementation and Performance Analysis of 2.5D-PDGEMM on the K Computer -- An Approach for Detecting Abnormal Parallel Applications Based on Time Series Analysis Methods -- Prediction of the Inter-Node Communication Costs of a New Gyrokinetic Code with Toroidal Domain -- D-Spline Performance Tuning Method Flexibly Responsive to Execution Time Perturbation -- Environments and Frameworks for Parallel/Distributed/Cloud Computing -- Dfuntest: A Testing Framework for Distributed Applications -- Security monitoring and analytics in the context of HPC processing model -- Multidimensional Performance and Scalability Analysis for Diverse Applications Based on System Monitoring Data -- Bridging the Gap between HPC and Cloud using HyperFlow and PaaSage -- A Memory Efficient Parallel All-Pairs Computation Framework: Computation -- Communication Overlap -- Automatic Parallelization of ANSI C to CUDA C Programs.-Consistency Models for Global Scalable Data Access Services -- Applications of Parallel Computing -- Global state monitoring in optimization of parallel event-driven simulation -- High Performance Optimization of Independent Component Analysis Algorithm for EEG Data -- Continuous and discrete models of melanoma progression simulated in multi-GPU environment -- Early experience on using Knights Landing processors for Lattice Boltzmann applications -- Soft Computing with Applications -- Towards a Model of Semi-Supervised Learning for the Syntactic Pattern Recognition-based Electrical Load Prediction System -- Parallel Processing of Color Digital Images for Linguistic Description of Their Content -- Co-evolution of fitness predictors and Deep Neural Networks -- Performance evaluation of DBN learning on Intel multi- and manycore architectures -- Special Session on Parallel Matrix Factorizations -- On the Tunability of a New Hessenberg Reduction Algorithm Using Parallel Cache Assignment -- New Preconditioning for the One-Sided Block-Jacobi SVD Algorithm -- Structure-preserving technique in the block SS-Hankel method for solving Hermitian generalized eigenvalue problems -- On using the Cholesky QR method in the full-blocked one-sided Jacobi algorithm -- Parallel Divide-and-Conquer Algorithm for Solving Tridiagonal Eigenvalue Problems on Manycore Systems -- Partial Inverses of Complex Block Tridiagonal Matrices -- Parallel Nonnegative Matrix Factorization Based on Newton Iteration with Improved Convergence Behavior.
بدون عنوان
0

یادداشتهای مربوط به خلاصه یا چکیده

متن يادداشت
The two-volume set LNCS 10777 and 10778 constitutes revised selected papers from the 12th International Conference on Parallel Processing and Applied Mathematics, PPAM 2017, held in Lublin, Poland, in September 2017. The 49 regular papers presented in this volume were selected from 98 submissions. For the workshops and special sessions, that were held as integral parts of the PPAM 2017 conference, a total of 51 papers was accepted from 75 submissions. The papers were organized in topical sections named as follows: Part I: numerical algorithms and parallel scientific computing; particle methods in simulations; task-based paradigm of parallel computing; GPU computing; parallel non-numerical algorithms; performance evaluation of parallel algorithms and applications; environments and frameworks for parallel/distributed/cloud computing; applications of parallel computing; soft computing with applications; and special session on parallel matrix factorizations. Part II: workshop on models, algorithms and methodologies for hybrid parallelism in new HPC systems; workshop power and energy aspects of computations (PEAC 2017); workshop on scheduling for parallel computing (SPC 2017); workshop on language-based parallel programming models (WLPP 2017); workshop on PGAS programming; minisymposium on HPC applications in physical sciences; minisymposium on high performance computing interval methods; workshop on complex collective systems.

یادداشتهای مربوط به سفارشات

منبع سفارش / آدرس اشتراک
Springer Nature
شماره انبار
com.springer.onix.9783319780245

ویراست دیگر از اثر در قالب دیگر رسانه

شماره استاندارد بين المللي کتاب و موسيقي
9783319780238

عنوان اصلی به زبان دیگر

عنوان اصلي به زبان ديگر
PPAM 2017

موضوع (اسم عام یاعبارت اسمی عام)

موضوع مستند نشده
Mathematics, Congresses.
موضوع مستند نشده
Parallel processing (Electronic computers), Congresses.
موضوع مستند نشده
Algorithms & data structures.
موضوع مستند نشده
Artificial intelligence.
موضوع مستند نشده
Computer architecture & logic design.
موضوع مستند نشده
Computer networking & communications.
موضوع مستند نشده
Computers-- Data Processing.
موضوع مستند نشده
Computers-- Hardware-- General.
موضوع مستند نشده
Computers-- Intelligence (AI) & Semantics.
موضوع مستند نشده
Computers-- Logic Design.
موضوع مستند نشده
Computers-- Programming-- Algorithms.
موضوع مستند نشده
Computers-- Software Development & Engineering-- General.
موضوع مستند نشده
Mathematical theory of computation.
موضوع مستند نشده
Mathematics.
موضوع مستند نشده
Parallel processing (Electronic computers)
موضوع مستند نشده
Software Engineering.

مقوله موضوعی

موضوع مستند نشده
COM051230
موضوع مستند نشده
UMZ
موضوع مستند نشده
UMZ

رده بندی ديویی

شماره
005
.
1
ويراست
23

رده بندی کنگره

شماره رده
QA76
.
58

نام شخص - (مسئولیت معنوی برابر )

مستند نام اشخاص تاييد نشده
Deelman, Ewa
مستند نام اشخاص تاييد نشده
Dongarra, J. J.
مستند نام اشخاص تاييد نشده
Karczewski, Konrad
مستند نام اشخاص تاييد نشده
Wyrzykowski, Roman

نام تنالگان به منزله سر شناسه - (مسئولیت معنوی درجه اول )

مستند نام تنالگان تاييد نشده
PPAM (Conference)(12th :2017 :, Lublin, Poland)

مبدا اصلی

تاريخ عمليات
20200823112833.0
قواعد فهرست نويسي ( بخش توصيفي )
pn

دسترسی و محل الکترونیکی

نام الکترونيکي
 مطالعه متن کتاب 

اطلاعات رکورد کتابشناسی

نوع ماده
[Book]

اطلاعات دسترسی رکورد

تكميل شده
Y

پیشنهاد / گزارش اشکال

اخطار! اطلاعات را با دقت وارد کنید
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