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*Showing* 1 - 20 *of* 15*number_thousands_separator*607

1

Performance Optimization of Numerically Intensive Codes
SciTech Book News. Sept, 2001, Vol. 25, p40.

*Periodical*
2

Performance Optimization of Numerically Intensive Codes
Peruggia, Mario
Journal of the American Statistical Association. June, 2004, Vol. 99 Issue 466, p571, 1 p.

*Academic Journal*
3

Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables
Brevault, Loïc ; Balesdent, Mathieu
In Engineering Applications of Artificial Intelligence July 2024 133 Part B

*Academic Journal*
4
7

Performance Vehicle Dynamics : Engineering and Applications
Balkwill, James ; Balkwill, James ; Balkwill, James ; et al.

*Electronic Resource*
8

THE NINJA PROJECT.
Moreira, José E. ; Midkiff, Samuel P. ; Gupta, Manish ; et al.
Communications of the ACM. Oct2001, Vol. 44 Issue 10, p102-109. 8p.

JAVA programming languag... PROGRAMMING languages FORTRAN COMPILERS (Computer prog... SYSTEMS software ELECTRONIC data processi...
*Periodical*
9

GPfit: An R package for Gaussian Process Model Fitting using a New Optimization Algorithm
MacDonald, Blake ; Ranjan, Pritam ; Chipman, Hugh
Journal of Statistical Software, 64 (12), 1-23, 2015

Statistics - Computation
*Report*
10

Improved Prediction of Managed Water Flow into Everglades National Park Using Empirical Dynamic Modeling.
Saberski, Erik ; Park, Joseph ; Hill, Troy ; et al.
Journal of Water Resources Planning & Management; Dec2022, Vol. 148 Issue 12, p1-10, 10p

EVERGLADES National Park... EVERGLADES (Fla.) FLORIDA PARK use NATIONAL parks & reserve... DYNAMIC models
*Academic Journal*
11

MC-LBTO: secure and resilient state-aware multi-controller framework with adaptive load balancing for SD-IoT performance optimization.
Alyanbaawi, Ashraf ; El-Sayed, Ameer ; Salah, Nihal ; et al.
Scientific Reports; 12/26/2025, Vol. 15 Issue 1, p1-28, 28p

LOAD balancing (Computer... NETWORK performance RESOURCE allocation SOFTWARE-defined network... COOPERATIVE control syst... COMPUTER network monitor...
*Academic Journal*
12

Using advanced compiler technology to exploit the performance of the Cell Broadband Engine™ architecture.
Eichenberger, Alexandre E. ; O'Brien, John Kevin ; O'Brien, Kathryn M. ; et al.
IBM Systems Journal. 2006, Vol. 45 Issue 1, p59-84. 26p.

VIDEO game development COMPUTER architecture COMPUTER systems COMPUTER programming ARTIFICIAL intelligence SIMULATION methods & mod...
*Academic Journal*
13

An effective communication topology for performance optimization: a case study of the finite-volume wave modeling (FVWAM).
Pang, Renbo ; Yu, Fujiang ; Gao, Yuanyong ; et al.
Geoscientific Model Development; 2025, Vol. 18 Issue 13, p4119-4136, 18p

SCALABILITY COMMUNICATION methodolog... COMPUTER simulation SIMULATION methods & mod... DISTRIBUTED network prot... MESSAGE passing (Compute...
*Academic Journal*
14

A Review of Computational Fluid Dynamics Techniques and Methodologies in Vertical Axis Wind Turbine Development.
Fazlizan, Ahmad ; Muzammil, Wan Khairul ; Al-Khawlani, Najm Addin
Computer Modeling in Engineering & Sciences (CMES); 2025, Vol. 144 Issue 2, p1371-1437, 67p

COMPUTATIONAL fluid dyna... VERTICAL axis wind turbi... SIMULATION methods & mod... TURBULENCE WIND power AERODYNAMICS
*Academic Journal*
15

Multi-Stage Multidisciplinary Design Optimization Method for Enhancing Complete Artillery Internal Ballistic Firing Performance.
Jipeng Xie ; Guolai Yang ; Liqun Wang ; et al.
Computer Modeling in Engineering & Sciences (CMES); 2024, Vol. 140 Issue 1, p793-819, 27p

MULTIDISCIPLINARY design... BALLISTICS ARTILLERY SYSTEMS engineering SERVICE life PROPELLANTS
*Academic Journal*
16

Integrating 3D‐Printed Auxetic Structures for Advanced Concrete Reinforcement.
Vandadi, Mobin ; Heidarnezhad, Sara ; Pourhaji, Pardis ; et al.
Advanced Materials Interfaces; 9/8/2025, Vol. 12 Issue 17, p1-13, 13p

AUXETIC materials BUILDING reinforcement FINITE element method THREE-dimensional printi... ENERGY dissipation STRESS concentration
*Academic Journal*
17

Java for numerically intensive computing: from flops to gigaflops.
Midkiff, S.P. ; Moreira, J.E. ; Snir, M.
Proceedings Frontiers '99 Seventh Symposium on the Frontiers of Massively Parallel Computation; 1999, p251-257, 7p

*Conference*
18

Advancing nearshore and onshore tsunami hazard approximation with machine learning surrogates.
Ragu Ramalingam, Naveen ; Johnson, Kendra ; Pagani, Marco ; et al.
Natural Hazards & Earth System Sciences; 2025, Vol. 25 Issue 5, p1655-1679, 25p

MACHINE learning THEORY of wave motion TSUNAMIS DATABASES RISK assessment
*Academic Journal*
19

ABOUT APPLICATIONS OF DEEP LEARNING OPERATOR NETWORKS FOR DESIGN AND OPTIMIZATION OF ADVANCED MATERIALS AND PROCESSES.
Korić, Seid ; Abueidda, Diab W.
B&H Electrical Engineering; 2022, Vol. 16 Issue 1, p1-6, 6p

DEEP learning MANUFACTURING processes STRESS concentration MATERIAL plasticity
*Academic Journal*
20

The CECAM electronic structure library and the modular software development paradigm.
Oliveira, Micael J. T. ; Papior, Nick ; Pouillon, Yann ; et al.
Journal of Chemical Physics; 7/14/2020, Vol. 153 Issue 2, p1-23, 23p, 6 Diagrams, 1 Chart

MODULAR construction LIBRARY software ELECTRONIC structure DIGITAL libraries COMPUTER software develo... VIDEO coding
*Academic Journal*

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