Replica-exchange multicanonical and multicanonical replica-exchange Monte Carlo simulations of peptides. I. Formulation and benchmark test

2003 ◽  
Vol 118 (14) ◽  
pp. 6664-6675 ◽  
Author(s):  
Ayori Mitsutake ◽  
Yuji Sugita ◽  
Yuko Okamoto
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.


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.


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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