Results 91 to 100 of about 42,875 (250)
NBODY6++GPU: Ready for the gravitational million-body problem
Accurate direct $N$-body simulations help to obtain detailed information about the dynamical evolution of star clusters. They also enable comparisons with analytical models and Fokker-Planck or Monte-Carlo methods.
Aarseth, Sverre +6 more
core +1 more source
Mapping Thermal Conductivity at the Atomic Scale: A Step toward the Thermal Design of Materials
The site‐projected thermal conductivity method resolves the local thermal conduction contribution per atom by decomposing the Green–Kubo thermal conductivity tensor under the harmonic approximation. It highlights thermally active sites and “thermal defects” within disordered or amorphous materials, enabling spatially resolved insights into atomic‐scale
Chinonso Ugwumadu +3 more
wiley +1 more source
Transactional Memory and OpenMP
Future generations of Chip Multiprocessors (CMP) will provide dozens or even hundreds of cores inside the chip. Writing applications that benefit from the massive computational power offered by these chips is not going to be an easy task for mainstream programmers who are used to sequential algorithms rather than parallel ones.
Milovanovic, Milos +7 more
openaire +3 more sources
Aurora: Seamless Optimization of OpenMP Applications
Efficiently exploiting thread-level parallelism has been challenging for software developers. As many parallel applications do not scale with the number of cores, the task of rightly choosing the ideal amount of threads to produce the best results in ...
A. Lorenzon +3 more
semanticscholar +1 more source
Abstract Process‐based hydrologic simulations in large domains generally require intensive computing resources. In this study, we implement various parallelization approaches within a process‐based hydrologic solver, SUMMA, including the Message Passing Interface (MPI), Open Multi‐Processing (OMP), and the Actor Model, to enable high‐performance ...
Junwei Guo +7 more
wiley +1 more source
An Adaptive Partitioning Parallel MLFMA for Simulating Radome‐Enclosed Antenna Arrays
This study presents a parallel MLFMA framework for simulating the radiation problems of radome‐enclosed antenna arrays. To achieve load balancing in the near‐field and far‐field interactions, a multiple adaptive partitioning strategy is designed. Numerical results show that the efficiency of the parallel MLFMA exceeds 80% as the number of processes ...
Lei Yin +6 more
wiley +1 more source
Using Cognitive Computing for Learning Parallel Programming: An IBM Watson Solution
While modern parallel computing systems provide high performance resources, utilizing them to the highest extent requires advanced programming expertise.
Chozas, Adrian Calvo +2 more
core +1 more source
Computational Framework for Modeling Effects of Brain Collateral Circulation
This study presents a computational framework to simulate cerebral blood flow in large vessel occlusions combining image‐based vascular reconstructions with generative modeling of pial collaterals to create realistic brain vasculature down to 50 μm vessels.
Fernando Mut +3 more
wiley +1 more source
HSTREAM: A directive-based language extension for heterogeneous stream computing
Big data streaming applications require utilization of heterogeneous parallel computing systems, which may comprise multiple multi-core CPUs and many-core accelerating devices such as NVIDIA GPUs and Intel Xeon Phis.
Memeti, Suejb, Pllana, Sabri
core +1 more source
How Can the Master–Slave Elimination for Multi‐Point Constraints be Drastically Accelerated?
ABSTRACT Multi‐point constraints are essential in modeling various engineering problems, for example, in the context of joints undergoing large rotations or coupling of different element types in finite element analysis. The master–slave elimination is an efficient method for the numerical treatment of such constraints because it reduces the dimension ...
Jonas Boungard, Jens Wackerfuß
wiley +1 more source

