By Shlomo Mark, Shaul Mordechai, Editors
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Extra resources for Applications of Monte Carlo Method in Science and Engineering
2009). Microrhoelogy of complex ﬂuids using optical tweezers: a comparison with macrorhoelogical measurements, J. Opt. A: Pure Appl. Opt. 11: 034016. -Q. -M. (2010). Experimental generation of Laguerre-Gaussian beam using digital micromirror device, Appl. Opt. 49(10): 1838–1844. , Li, H. -M. (2010). Stability of novel time-sharing dual optical tweezers using a rotating tilt glass plate, Chinese Physics Letters 27(2): 028703. -C. -M. (2010). Monte carlo simulation of effective stiffness of time-sharing optical tweezers, Chinese Optics Letters 8(2): 170–172.
2009); Oinn et al. (2004). Engines now allow the execution of workﬂow applications on various grid middleware in a generic way. On top of these tools, high-level execution interfaces are essential for end users with no speciﬁc grid knowledge. This problem has been acknowledged by different communities who already developed a certain number of grid portals such as Genius3 or GridSphere4 . A few communities have customized these tools for their needs or even developed their own speciﬁc portals. This is also the case for some of the Monte-Carlo applications running on clusters or grids as detailed hereafter.
Indeed, this was a strong requirement of the research community who needs to test new releases or switch to older ones for tests. Once the GATE simulation is launched, its status is monitored and the end user can follow it in real time. The monitoring interface is presented in Fig 3.
Applications of Monte Carlo Method in Science and Engineering by Shlomo Mark, Shaul Mordechai, Editors