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81

Within‐chain parallelization—Giving Stan Jet Fuel for population modeling in pharmacometrics.
Davis, Casey ; Vaddady, Pavan
CPT: Pharmacometrics & Systems Pharmacology. Jan2025, Vol. 14 Issue 1, p52-67. 16p.

PARALLEL processing PARALLEL programming DISTRIBUTION (Probabilit... PROGRAMMING languages MONTE Carlo method BAYESIAN analysis
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82

Optimization of communication-computation overlapping in parallel multigrid methods by process/thread allocation
Nakajima, Kengo
Japan Journal of Industrial and Applied Mathematics. 42(3):1029-1062

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83

Accelerating OCaml Programs on FPGA
Sylvestre, Loïc ; Chailloux, Emmanuel ; Sérot, Jocelyn ; et al.
International Journal of Parallel Programming. :186-207

FPGA OCaml Virtual machine Hardware acceleration Compiling High-level parallel prog... …
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84

A memristive superchaotic conservative system and image encryption on DNA coding and parallel computing.
Zhang, Li ; Liu, Chuan ; Pu, Xiangkai ; et al.
Modern Physics Letters B; 12/30/2025, Vol. 39 Issue 36, p1-36, 36p

IMAGE encryption MEMRISTORS PARALLEL programming REAL-time computing GENETIC code DYNAMICAL systems …
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85

Spin/Sleep Proactive‐Awakening Locks for Alternative Performance/Energy Trade‐Offs.
Federico, Matteo ; Marotta, Romolo ; Quaglia, Francesco
Concurrency & Computation: Practice & Experience; 12/25/2025, Vol. 37 Issue 27/28, p1-32, 32p

SYNCHRONIZATION ENERGY consumption LINUX operating systems HIGH performance process... PARALLEL programming
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86

Bridging Portability and Performance in Sparse Tensor Computations Using SYCL.
Pacheco, Daniel ; Graça, Miguel ; Borralho, Filipe ; et al.
Concurrency & Computation: Practice & Experience; 12/25/2025, Vol. 37 Issue 27/28, p1-21, 21p

SCALABILITY SPARSE matrices PARALLEL programming MATHEMATICAL optimizatio... TENSOR algebra
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87

Massively Parallel CMA‐ES With Increasing Population.
Redon, David ; Fortin, Pierre ; Derbel, Bilel ; et al.
Concurrency & Computation: Practice & Experience; 12/25/2025, Vol. 37 Issue 27/28, p1-19, 19p

HIGH performance computi... SUPERCOMPUTERS SYNCHRONIZATION EVOLUTIONARY algorithms NONCONVEX programming PARALLEL programming
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88

Multi-threaded SIMD strategies and frequency scaling for sustainable evolutionary biology.
Santander-Jiménez, Sergio ; Vega-Rodríguez, Miguel A.
Cluster Computing; Dec2025, Vol. 28 Issue 16, p1-25, 25p

ENERGY consumption PHYLOGENETIC models SIMD (Computer architect... POWER aware computing MULTICORE processors PARALLEL programming
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89

A multi-GPU enabled solver in Kronecker product form for multiphysics problems.
Ma, Wenpeng ; Zhao, Siyuan ; Le, Xiaofan ; et al.
Scientific Reports; 12/10/2025, Vol. 15 Issue 1, p1-19, 19p

KRONECKER products GRAPHICS processing unit... PARALLEL programming FLUID dynamics ALGORITHMS SPARSE matrices …
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90

Event-triggered control for distributed time-varying optimization.
Li, Haojin ; Cheng, Xiaodong ; van Heijster, Peter ; et al.
ISA Transactions. Dec2025:Part B, Vol. 167, p1078-1084. 7p.

Energy storage Hessian matrices Parallel programming Cooperative control syst... Nonsmooth optimization Adaptive control systems
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91

A comprehensive GPU-accelerated lattice Boltzmann framework for high-Reynolds-number flow in complex rod bundles.
Zou, Hang ; Zhang, Qingyang ; Lu, Hongyang ; et al.
Engineering Applications of Computational Fluid Mechanics; Dec2025, Vol. 19 Issue 1, p1-26, 26p

LATTICE Boltzmann method... REYNOLDS number SCALABILITY TURBULENT flow NUCLEAR reactor material... PARALLEL programming …
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92

Numerical simulation of three-dimensional two-phase pipe flows with GPU-accelerated Riemann-based smoothed particle hydrodynamics.
Cai, Yuejin ; Wei, Jianguo ; Hou, Qingzhi ; et al.
Engineering Applications of Computational Fluid Mechanics; Dec2025, Vol. 19 Issue 1, p1-18, 18p

TWO-phase flow AIR-water interfaces LAGRANGIAN functions SANITARY engineering COMPUTER simulation PIPE flow …
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93

Technical Note: Maximum Likelihood Optimization via Parallel Estimating Gradient Ascent.
Liu, Quanquan ; Wang, Yining
Computational Economics; Dec2025, Vol. 66 Issue 6, p4621-4643, 23p

MAXIMUM likelihood stati... MATHEMATICAL optimizatio... PARALLEL programming ECONOMETRICS AIRLINE industry OPTIMIZATION algorithms …
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94

Parallel Computing Approach for Rapid Estimation of Tsunami Hazard and Population Exposure in Peru.
Garcia, Fernando ; Estrada, Miguel ; Palacios, Julian ; et al.
Journal of Disaster Research; Dec2025, Vol. 20 Issue 6, p912-921, 10p

PERU LIMA (Peru) TSUNAMIS PARALLEL programming COMPUTER simulation EMERGENCY management …
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95

Discovering Granger causality with convolutional neural networks.
Sahinoglu, Oktay ; Kumluca Topalli, Ayca ; Topalli, Ihsan
Journal of Intelligent Manufacturing; Dec2025, Vol. 36 Issue 8, p5967-5980, 14p

GRANGER causality test CONVOLUTIONAL neural net... PREDICTION models METADATA PARALLEL programming DEEP learning
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96

Debiasing piecewise deterministic Markov process samplers using couplings.
Corenflos, Adrien ; Sutton, Matthew ; Chopin, Nicolas
Scandinavian Journal of Statistics; Dec2025, Vol. 52 Issue 4, p1932-1974, 43p

MARKOV chain Monte Carlo MONTE Carlo method EMPIRICAL research UNBIASED estimation (Sta... SAMPLING methods PARALLEL programming …
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97

Log-Diameter MST Verification and Sensitivity in MPC.
Coy, Sam ; Czumaj, Artur ; Mishra, Gopinath ; et al.
Algorithmica; Dec2025, Vol. 87 Issue 12, p1899-1932, 34p

SENSITIVITY analysis SPANNING trees OPTIMIZATION algorithms GRAPH theory PARALLEL programming
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98

Accelerated DBSCAN via parallel, density-aware multi-objective genetic optimization.
Eyvazi, Hossein ; Rajaei, Ali
Journal of Mathematical Modeling (JMM); Dec2025, Vol. 13 Issue 4, p851-864, 14p

CLUSTERING algorithms MULTI-objective optimiza... PARALLEL programming BENCHMARK problems (Comp... GENETIC algorithms DENSITY
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99

A Purely Meshless Penalty 2D Formulation for Navier–Stokes Equations.
Kamal, M. A. ; Hasan, Ahmed M. M. ; Rashed, Youssef F. ; et al.
International Journal for Numerical Methods in Fluids; Dec2025, Vol. 97 Issue 12, p1519-1540, 22p

NAVIER-Stokes equations MESHFREE methods MONTE Carlo method REGULARIZATION parameter SCIENTIFIC observation PARALLEL programming …
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100

Towards distributed two-stage stochastic optimization.
Emek, Yuval ; Harlev, Noga ; Izumi, Taisuke
Distributed Computing; Dec2025, Vol. 38 Issue 4, p377-395, 19p

STOCHASTIC programming GRAPH algorithms PARALLEL programming DISTRIBUTION (Probabilit... MONTE Carlo method DISCRETE systems
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