Hamiltonian replica exchange simulations of glucose oxidase adsorption on charged surfaces

2018 ◽  
Vol 20 (21) ◽  
pp. 14587-14596 ◽  
Author(s):  
Yun Xie ◽  
Zhanchao Li ◽  
Jian Zhou

Hamiltonian replica exchange Monte Carlo simulations efficiently identify the lowest-energy orientations of proteins on charged surfaces at variable ionic strengths.

2019 ◽  
Vol 5 ◽  
pp. e183 ◽  
Author(s):  
Bérenger Bramas

Task-based programming models have demonstrated their efficiency in the development of scientific applications on modern high-performance platforms. They allow delegation of the management of parallelization to the runtime system (RS), which is in charge of the data coherency, the scheduling, and the assignment of the work to the computational units. However, some applications have a limited degree of parallelism such that no matter how efficient the RS implementation, they may not scale on modern multicore CPUs. In this paper, we propose using speculation to unleash the parallelism when it is uncertain if some tasks will modify data, and we formalize a new methodology to enable speculative execution in a graph of tasks. This description is partially implemented in our new C++ RS called SPETABARU, which is capable of executing tasks in advance if some others are not certain to modify the data. We study the behavior of our approach to compute Monte Carlo and replica exchange Monte Carlo simulations.


2016 ◽  
Vol 27 (11) ◽  
pp. 1650128
Author(s):  
Kenji Kimura ◽  
Saburo Higuchi

Motivated by the way Japanese tatami mats are placed on the floor, we consider domino tilings with a constraint and estimate the number of such tilings of plane regions. We map the system onto a monomer-dimer model with a novel local interaction on the dual lattice. We make use of a variant of the Hamiltonian replica exchange Monte Carlo method where data for ferromagnetic and anti-ferromagnetic models are combined to make a single family of histograms. The properties of the density of states is studied beyond exact enumeration and combinatorial methods. The logarithm of the number of the tilings is linear in the boundary length of the region for all the regions studied.


PLoS ONE ◽  
2015 ◽  
Vol 10 (8) ◽  
pp. e0133571 ◽  
Author(s):  
Anna Russo ◽  
Pasqualina Liana Scognamiglio ◽  
Rolando Pablo Hong Enriquez ◽  
Carlo Santambrogio ◽  
Rita Grandori ◽  
...  

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