4,523 research outputs found

    A fine-grain time-sharing Time Warp system

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    Although Parallel Discrete Event Simulation (PDES) platforms relying on the Time Warp (optimistic) synchronization protocol already allow for exploiting parallelism, several techniques have been proposed to further favor performance. Among them we can mention optimized approaches for state restore, as well as techniques for load balancing or (dynamically) controlling the speculation degree, the latter being specifically targeted at reducing the incidence of causality errors leading to waste of computation. However, in state of the art Time Warp systems, events’ processing is not preemptable, which may prevent the possibility to promptly react to the injection of higher priority (say lower timestamp) events. Delaying the processing of these events may, in turn, give rise to higher incidence of incorrect speculation. In this article we present the design and realization of a fine-grain time-sharing Time Warp system, to be run on multi-core Linux machines, which makes systematic use of event preemption in order to dynamically reassign the CPU to higher priority events/tasks. Our proposal is based on a truly dual mode execution, application vs platform, which includes a timer-interrupt based support for bringing control back to platform mode for possible CPU reassignment according to very fine grain periods. The latter facility is offered by an ad-hoc timer-interrupt management module for Linux, which we release, together with the overall time-sharing support, within the open source ROOT-Sim platform. An experimental assessment based on the classical PHOLD benchmark and two real world models is presented, which shows how our proposal effectively leads to the reduction of the incidence of causality errors, as compared to traditional Time Warp, especially when running with higher degrees of parallelism

    Stochastic ordinary differential equations in applied and computational mathematics

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    Using concrete examples, we discuss the current and potential use of stochastic ordinary differential equations (SDEs) from the perspective of applied and computational mathematics. Assuming only a minimal background knowledge in probability and stochastic processes, we focus on aspects that distinguish SDEs from their deterministic counterparts. To illustrate a multiscale modelling framework, we explain how SDEs arise naturally as diffusion limits in the type of discrete-valued stochastic models used in chemical kinetics, population dynamics, and, most topically, systems biology. We outline some key issues in existence, uniqueness and stability that arise when SDEs are used as physical models, and point out possible pitfalls. We also discuss the use of numerical methods to simulate trajectories of an SDE and explain how both weak and strong convergence properties are relevant for highly-efficient multilevel Monte Carlo simulations. We flag up what we believe to be key topics for future research, focussing especially on nonlinear models, parameter estimation, model comparison and multiscale simulation

    MULTILATERAL DETERRENCE FORMATION AND FUTURE US SPACE SECURITY CHALLENGES

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    An increase in the number of satellites from commercial and military actors in the future will cause space to become more congested and contested. The increase in actors raises the question of how the United States could conduct space deterrence with proliferated space operations. The significance behind this is that the proliferation of satellites will impact the stability and security of space, creating more orbital debris and opportunities for adversary activities. Stability and security are characteristics that the United States deems critical for the future, as outlined in the 2020 National Defense Space Strategy. The United States' new challenge in space raises the importance of a flexible deterrence strategy. Options the United States could exercise include space weapons, allied cooperation, or legal methods, such as norms, codes of conduct, or treaties. Electronic warfare techniques such as jamming would be the best approach for flexible deterrence with space weapons to minimize orbital debris and conflict escalation. Multinational space networks would provide flexible approaches to deterrence in offensive or defensive constellations, while strengthening relationships between partners. An increase in the awareness and transparency surrounding space behavior could result in better monitoring of inappropriate behavior and facilitate the new norms, codes of conduct, or treaties on responsible behavior, leading to a more secure and more stable space domain.Captain, United States Marine CorpsApproved for public release. Distribution is unlimited

    College Women\u27s Interest in an Over-the-Counter Oral Contraceptive

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    The purpose of this thesis was to learn whether an over-the-counter (OTC) oral contraceptive pill would benefit college students. To find out, I conducted sixteen semi-structured interviews with college students from Trinity College and Capital Community College, both located in Hartford, Connecticut. All participants either currently took oral contraceptives or had taken them in the past. This thesis accepts as its premise that oral contraceptives should be available OTC, but as a policy solution to increase access, I found that an OTC pill would have a limited effect

    Practical guide to single-protein AFM nanomechanical spectroscopy mapping: insights and pitfalls as unraveled by all-atom MD simulations on immunoglobulin G

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    Atomic force microscopy is an invaluable characterization tool in almost every biophysics laboratory. However, obtaining atomic/sub-nanometer resolution on single proteins has thus far remained elusive - a feat long achieved on hard substrates. In this regard, nanomechanical spectroscopy mapping may provide a viable approach to overcome this limitation. By complementing topography with mechanical properties measured locally, one may thus enhance spatial resolution at the single-protein level. In this work, we perform all-atom molecular dynamics simulations of the indentation process on a single immunoglobulin G (IgG) adsorbed on a graphene slab. Our simulations reveal three different stages as a function of strain: a noncontact regime - where the mechanical response is linked to the presence of the water environment - followed by an elastic response and a final plastic deformation regime. In the noncontact regime, we are able to identify hydrophobic/hydrophilic patches over the protein. This regime provides the most local mechanical information that allows one to discern different regions with similar height/topography and leads to the best spatial resolution. In the elastic regime, we conclude that the Young modulus is a well-defined property only within mechanically decoupled domains. This is caused by the fact that the elastic deformation is associated with a global reorganization of the domain. Differences in the mechanical response are large enough to clearly resolve domains within a single protein, such as the three subunits forming the IgG. Two events, unfolding or protein slipping, are observed in the plastic regime. Our simulations allow us to characterize these two processes and to provide a strategy to identify them in the force curves. Finally, we elaborate on possible challenges that could hamper the interpretation of such experiments/simulations and how to overcome them. All in all, our simulations provide a detailed picture of nanomechanical spectroscopy mapping on single proteins, showing its potential and the challenges that need to be overcome to unlock its full potentialJ.G.V. acknowledges funding from a Marie Sklodowska-Curie Fellowship within the Horizon 2020 framework (Grant No. DLV-795286) and the Swiss National Science Foundation (Grant No. CRSK-2 190731/1). R.P. acknowledges support from the Spanish MINECO (Grant No. MAT2017-83273-R) and from the Ministerio de Ciencia e Innovación (MICINN) through the “María de Maeztu” Programme for Units of Excellence in R&D (Grant No. CEX2018-000805-M). R.G. acknowledges funding from the MICINN (Grant No. PID2019-106801GB-I00) and Comunidad de Madrid Grant No. S2018/NMT-4443 (Tec4Bio-CM). We thankfully acknowledge the computer resources, technical expertise, and assistance provided by the Red Española de Supercomputación (RES) at the Minotauro and CTE-Power9 supercomputers (BSC, Barcelona). We thank Dr. Alejandro Martín-González for fruitful discussion
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