Performance and Power Analysis of High-Density Multi-GPGPU Architectures: A Preliminary Case Study

Gao, Yuxiang; Iqbal, Saeed; Zhang, Peng; Qiu, Meikang

doi:10.1109/hpcc-css-icess.2015.68

Cited by 84 publications

(11 citation statements)

References 14 publications

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“…Almost all of these packages are capable of performing multithreading, GPU acceleration, and parallel computation with conventional integration methods such as velocity Verlet and leap-frog, and different methods of long-range calculation, energy minimization, free-energy calculation, temperature, and pressure control. Many studies have compared different MD software products using different test systems, benchmarks, and hardware [88,89]. Comparing GROMACS, LAMMPS, CHARMM, and NAMD with five protein systems from 20,000 to 3 million atoms as test systems found GROMACS to be faster for all of the tested systems sizes while GROMACS, LAMMPS, and NAMD showed similar scaling behavior for larger systems [89].…”

Section: Solversmentioning

confidence: 99%

Wood–Moisture Relationships Studied with Molecular Simulations: Methodological Guidelines

Chen

Zhang

Shomali

et al. 2019

Forests

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This paper aims at providing a methodological framework for investigating wood polymers using atomistic modeling, namely, molecular dynamics (MD) and grand canonical Monte Carlo (GCMC) simulations. Atomistic simulations are used to mimic water adsorption and desorption in amorphous polymers, make observations on swelling, mechanical softening, and on hysteresis. This hygromechanical behavior, as observed in particular from the breaking and reforming of hydrogen bonds, is related to the behavior of more complex polymeric composites. Wood is a hierarchical material, where the origin of wood-moisture relationships lies at the nanoporous material scale. As water molecules are adsorbed into the hydrophilic matrix in the cell walls, the induced fluid–solid interaction forces result in swelling of these cell walls. The interaction of the composite polymeric material, that is the layer S2 of the wood cell wall, with water is known to rearrange its internal material structure, which makes it moisture sensitive, influencing its physical properties. In-depth studies of the coupled effects of water sorption on hygric and mechanical properties of different polymeric components can be performed with atomistic modeling. The paper covers the main components of knowledge and good practice for such simulations.

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Section: Solversmentioning

confidence: 99%

Wood–Moisture Relationships Studied with Molecular Simulations: Methodological Guidelines

Chen

Zhang

Shomali

et al. 2019

Forests

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“…Moreover, the other research focus is enhancing the security guarantee level to prevent users' data from malicious attacks . Prior researches have addressed this issue from a few perspectives, such as proactive threats detection , sensor‐oriented protection , malicious behavior analyses , and system architecture reinforcements . It has been proved that using redundancy‐based fault‐tolerant cache structure could be an approach for increasing security levels in cloud systems .…”

Section: Related Workmentioning

confidence: 99%

Secure cyber incident analytics framework using Monte Carlo simulations for financial cybersecurity insurance in cloud computing

Gai

Qiu

Hassan

2016

Concurrency and Computation

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Summary The remarkable increasing demands of mitigating losses from cyber incidents for financial firms have been driving the rapid development of the Cybersecurity Insurance (CI). The implementations of CI have covered a variety of aspects in cyber incidents, from hacking to frauds. However, CI is still at its exploring stage so that there are a number of dimensions that are uncovered by the current applications. The cyber attack on critical infrastructure is one of the serious issues that prevents the expansions of CI. This paper addresses CI implementations focusing on cloud‐based service offerings and proposes a secure cyber incident analytics framework using big data, named as Cost‐Aware Hierarchical Cyber Incident Analytics (CA‐HCIA). The approach is designed for matching different cyber risk scenarios, which uses repository data. We use Monte Carlo simulations for extracting the incident features based on the training datasets. The main algorithms in CA‐HCIA include Monte Carlo Cyber Feature Extraction (MC2FE) and Optimal Cost Balance (OCA) Algorithms. Our experimental evaluation has provided the theoretical proof of the adoptability and feasibility. Results show that our proposal improves the cost of existing techniques in 7.98% and 15.39%. Copyright © 2016 John Wiley & Sons, Ltd.

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“…When the number of users gets really large, over the limit of the thread number, we can use a grid of processors such as Graphic Processing Unit Table (GPU) to automatically accommodate the increase of usage loads. Examples of this line of work are given in [9,10]. We will use such technologies in our production environment of the RN-chatter server.…”

Section: Application: Rn-chattermentioning

confidence: 99%

Natural Language Translator Correctness Prediction

J¹

2016

JCSAIT

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Open Access Research articlecorresponding regions and Baidu with 63% of market share in China. This one of our conducted survey with its results made us think wider into this topic of language translation.Rather than analyzing only Google Translate and focusing only on English, we broaden our scope to other languages. Connecting with our survey respondents also helped us obtain initial data samples for language pairs not only involving English, such as German-to-Russian and Italian-to-French. Some of the survey respondents agreed to expertly verify samples of such translation accuracy, which helped us greatly to launch our mobile RN-Chatter application with a big variety of supported languages.Our main contribution to the topic of intelligent data mining is the innovative idea of applying fairly simple method RN to the complicated topic of translation correction predictions. Through integrating the value of predicted translation correctness in the best way to the chatting application, the messager facilitates the communication among users using various natural languages. Showing our users on receiving part of the conversation the value of the translation correctness makes them being aware of how trustworthy the provided translation is in real time, which helps to improve the ultimate correctness over time by applying our new method RN method.This approach of integrating RN to real-time messager greatly decreases the potential level of overall misunderstanding in international communications. It is a direct path to benefit potentially very large number of users through the friendly interface of RN-chatters. Overall the RN method and its accompanying application, RN-chatter, make it possible to improve international communications, which is now in the mainstream of the Artificial Intelligence and Machines Learning research.As we see in the news channels on the daily basis, many countries and their people in the world stay completely or partially disconnected from others, losing the ability to be understood and to understand others as the distance grows. This RN-chatter has the potential to connect people and end the era of isolations and conflicts caused by misunderstanding. Many existing messagers do provide language translation features. But as we discussed AbstractThis paper presents a new approach to predictive data analytics, called Radius of Neighbors (RN), and its mobile application, a multilingual RN-Chatter, devoted to improving communication among people, speaking different languages. RN is a modeless method of supervised machine learning, what makes it a fairly simple but effective way of analyzing big amounts of data while keeping an acceptable speed of execution and taking up little run-time space. In the first preparatory stage of our research, we discovered that RN gives better results than well-known K-Nearest Neighbors (KNN) in some cases. We then extended our research to simulating the adjustments of floating radiuses, various volumes of the training data sets and ups and downs of the dimensions ...

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Performance and Power Analysis of High-Density Multi-GPGPU Architectures: A Preliminary Case Study

Cited by 84 publications

References 14 publications

Wood–Moisture Relationships Studied with Molecular Simulations: Methodological Guidelines

Wood–Moisture Relationships Studied with Molecular Simulations: Methodological Guidelines

Secure cyber incident analytics framework using Monte Carlo simulations for financial cybersecurity insurance in cloud computing

Natural Language Translator Correctness Prediction

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