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17th Genetic and Evolutionary Computation Conference, GECCO 2015

作者： Li, Hai-Hao Chen, Zong-Gan Zhan, Zhi-Hui Du, Ke-Jing Zhang, Jun Department of Computer Science Sun Yat-sen University Guangzhou510275 China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education P.R. China Collaborative Innovation Center of High Performance Computing National University of Defense Technology Changsha 410073 China Engineering Research Center of Supercomputing Engineering Software Ministry of Education P.R. China

ISBN: (纸本)9781450334884

Resources scheduling is a significant research topic in cloud computing, which is often modeled as a cost-minimization and deadline-constrained workflow scheduling model. This is a constrained single objective problem that to minimize the overall workflow execution cost while meeting deadline constraints. In this paper, we offer a new horizon to convert this single-objective problem to a multi-objective problem and present coevolutionary multiswarm particle swarm optimization (CMPSO) to find the non-dominated solutions with different execute cost and time. Meanwhile, the renumber strategy is adopted in CMPSO to make the learning efficient. CMPSO is compared with a renumber PSO (RNPSO) by setting the execute time in the CMPSO's nondominated solutions as the deadline constraint of RNPSO. Results show that CMPSO not only offers many non-dominated solutions with different prices and execute time, but also obtains better solution than RNPSO under a same deadline. Copyright is held by the owner/author(s).

关键词： Cloud computing

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Critical hybridization of skin modes in coupled non-Hermitian chains

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Physical Review Research 2022年第1期4卷 013243-013243页

作者： S. M. Rafi-Ul-Islam Zhuo Bin Siu Haydar Sahin Ching Hua Lee Mansoor B. A. Jalil Department of Electrical and Computer Engineering National University of Singapore Singapore Institute of High Performance Computing Agency for Science Technology and Research Singapore Department of Physics National University of Singapore Singapore

Non-Hermitian topological systems exhibit a plethora of unusual topological phenomena including the extreme localization of eigenstates, known as the non-Hermitian skin effect (NHSE), which occurs in open chains. However, the non-Hermitian characteristics of coupled non-Hermitian chains remain largely unexplored. Here, we report on the eigenstate localization in coupled non-Hermitian chains with dissimilar inverse skin lengths in which the NHSE can be switched on and off by modulating the interchain coupling strength. In the limit of small interchain strength, the NHSE is present at both ends of the coupled system because of the weak hybridization of the eigenstates of the individual chains. The eigenspectrum under open boundary conditions (OBC) exhibits a discontinuous jump known as the critical NHSE (CNHSE) as the chain length increases. However, when the interchain coupling strength and hence, the hybridization between eigenstates become significant, the NHSE and CNHSE vanish. Instead, a peculiar “half-half skin localization” occurs in composite chains with opposite signs of inverse skin lengths, where half of the eigenstates are exponentially localized at one chain and the remainder of the eigenstates on the other chain. Our results provide new insights into the non-Hermitian phenomena in coupled systems.

关键词： Electronic structure Exotic phases of matter Skin effect Topological insulators Topological phase transition Topological phases of matter 1-dimensional systems Topological materials Band structure methods Bloch wave theory Lattice models in condensed matter Tight-binding model

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Disentangled latent factors for muti-cause treatment effect estimation 6

Disentangled latent factors for muti-cause treatment effect ...

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2024 6th International Conference on Artificial Intelligence Technologies and Applications, ICAITA 2024

作者： Zhao, Zhuoyue Wang, Haotian Xu, Liyang Wang, Qian Tang, Yuhua Department of Intelligent Data Science National University of Defense Technology Changsha410073 China Intelligent Game and Decision Lab. Academy of Military Science Beijing100071 China Institute for Quantum Information State Key Laboratory of High-Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha410073 China

Existing methods estimate treatment effects from observational data and assume that covariates are all confounders. However, observed covariates may not directly represent confounding variables that influence both treatment and outcome. They always include variables that only affect the treatment or the outcome. In addition, for multi-dimensional binary treatments, disentangled methods are mainly designed for binary variables and ignore the impact of multi-cause treatment variables on the inference of latent factors. To address these two issues, based on variable decomposition and proxy inference, we propose the Disentangled Latent Factors for Multi-cause Treatment Estimation (DEMTE) algorithm. It utilizes an identifiable autoencoder to infer and disentangle latent factors based on the joint distribution of variables in observational data. DEMTE evaluates the treatment effect on the disentangled factors. Synthetic experiments and semi-synthetic experiments demonstrate the effectiveness of the inference and disentanglement techniques and our method achieves more accurate treatment effect estimation. © 2024 Institute of Physics Publishing. All rights reserved.

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Hybrid Signal Integrity Modeling and Analysis of Heterogeneous Integrated System With Neuromorphic Darwin Chip

IEEE Transactions on Signal and Power Integrity

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IEEE Transactions on Signal and Power Integrity 2024年 3卷 37-46页

作者： Chen, Quankun Ma, Hanzhi Li, Da Tao, Tuomin Tan, Shurun Liu, En-Xiao Schutt-Aine, Jose Li, Er-Ping Zhejiang University Key Laboratory of Advanced Micro/Nano Electronic Devices and Smart Systems and Applications College of Information Science and Electronic Engineering Hangzhou310027 China Zhejiang University University of Illinois at Urbana-Champaign Institute Haining314400 China A∗star Institute of High Performance Computing Singapore138632 Singapore University of Illinois at Urbana-Champaign Department of Electrical and Computer Engineering UrbanaIL61820 United States

This article introduces a comprehensive approach for designing and analyzing signal integrity in heterogeneous integrated systems that incorporate neuromorphic Darwin chips. The proposed integrated system architecture includes a neuromorphic Darwin chip, digital signal processing unit, microcontroller unit, field programmable gate arrays, and coding and decoding modules to encode and reconstruct analog spiking signals. The study evaluates the encoding module and the heterogeneous integration structure and conducts signal integrity analysis. To achieve optimal signal integrity performance, the article proposes a novel binocular eye diagram analysis technique. This innovative approach guides the encoding algorithm modification and improves the overall system performance. This research is the first to combine joint field-circuit simulation, heterogeneous integration modeling, and signal integrity analysis of the Darwin neuromorphic chip, and it is expected to serve as a valuable reference for future studies on similar systems. © 2022 IEEE.

关键词： Neural networks

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Generalized chromosome genetic algorithm for generalized traveling salesman problems and its applications for machining

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Physical Review E 2004年第1期70卷 016701-016701页

作者： Chunguo Wu Yanchun Liang Heow Pueh Lee Chun Lu College of Computer Science Jilin University Changchun 130012 China Institute of High Performance Computing Singapore 117528 Singapore Department of Mechanical Engineering National University of Singapore 9 Engineering Drive 1 Singapore 119260 Singapore

Traveling salesman problems (TSP) and generalized traveling salesman problems (GTSP) are two kinds of well known and challenging combinatorial optimization problems with much diversified application fields. Between the two application problems the GTSP is more complex than TSP. Many researchers have studied TSP extensively, but relatively fewer studies pay attention to GTSP, and also its solution using genetic algorithm (GA). In this paper, the structure of conventional chromosome is generalized to be a chromosome termed as a generalized chromosome (GC). A genetic scheme named as generalized-chromosome-based genetic algorithm (GCGA) is also presented. The proposed GCGA enables GTSP and TSP to be solved under a uniform algorithm mode. Forty one benchmark test problems have been solved with the known optimal solutions using the proposed algorithm to verify its validity. The test results show that GCGA can directly solve GTSP without the need of intermediate transformation to TSP.

关键词： Computational geometry

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An Anticipative Recursively-Adjusting Mechanism for redundant parallel file transfer in data grids

An Anticipative Recursively-Adjusting Mechanism for redundan...

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computer Systems Architecture Conference (ACSAC), Australasian

作者： Chao-Tung Yang Yao-Chun Chi Ming-Feng Yang Ching-Hsien Hsu High-Performance Computing Laboratory Department ofComputer Science and Information Engineering Tunghai University Taichung Taiwan Department of Computer Science and Information Engineering Chung Hua University Hsinchu Taiwan

In data grids, co-allocation architectures were developed to enable parallel downloads of datasets from selected replica servers. As Internet is usually the underlying network of a grid, network bandwidth plays as the key factor affecting file transfers between clients and servers. In this paradigm, there are still some challenges which need to be solved, such as to reduce differences in finish times between selected replica servers; to avoid traffic congestion resulting from transferring the same blocks in different links among servers and clients; and to manage network performance variations among parallel transfers. In this paper, we propose the anticipative recursively-adjusting mechanism (ARAM) scheme to adjust the workloads on selected replica servers and handle unpredictable variations in network performance by those servers. Our algorithm is based on using the finish rates of previously assigned transfers to anticipate the bandwidth status for next section in order to adjust workloads, and to reduce file transfer times in grid environments. Our approach is useful in grid environments with unstable network link. It not only reduces idle time wasted waiting for the slowest server, but also decreases file transfer completion times.

关键词： Servers Bandwidth Distributed databases Load management Resource management File servers Internet

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Incentive-Scheduling Algorithms to Provide Green Computational Data Center

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SN computer science 2021年第4期2卷 252页

作者： Haruna, Ahmed Abba Jung, Low Tan Arputharaj, Vijay Muhammad, L.J. College of Computer Science and Engineering University of Hafr Al Batin Al Jamiah Hafar Al Batin 39524d Saudi Arabia High Performance Computing Cloud Centre Universiti Teknologi PETRONAS Seri Iskandar Perak 32610 Malaysia Faculty of Science and Information Technology Skyline University Nigeria No. 2 Zaria Road Kano Nigeria Mathematics and Computer Science Department Federal University Kashere Gombe State Kashere Nigeria

The increased computational loads in grid servers are dissipating more heat to eventually amplifies the cooling demand in the data center (DC). This can lead to more submitted jobs missing their job completion deadlines. Unfortunately, the conventional DC job scheduling approaches do not provide compensation to the resource users on their submitted jobs that missed the deadlines. The absence of compensation may dissuade users from submitting jobs to the DCs. While the free air-cooling strategy is used elsewhere, it is not generally applicable in tropical countries such as Malaysia. A constant artificial cooling (air conditioning) is needed to sustain the DC long-hour operation. To solve this issue in the tropical region, green incentive-scheduling algorithms were devised to significantly save the cooling electricity consumption cost in DC and to be able to compensate users (as an incentive) for their submitted jobs that missed the job completion deadline(s). However, there is a need to further analyse the performance of the proposed green incentive-scheduling algorithms using a different benchmark traces file and to conduct a cost-saving comparison analysis between the green incentive-scheduling and the non-green incentive-scheduling algorithms. Therefore, this paper's authors observed and analysed the performance comparison of the proposed green incentive-based job scheduling algorithms using a benchmark traces file and conducted a cost-saving comparison analysis between the green incentive and the non-green incentive-based scheduling algorithms. Ultimately, the green incentive-scheduling algorithms are to show their impact on reducing the DC operation costs (e.g. electricity bills for cooling) and to provide fair compensation to grid users for a win–win situation. © 2021, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： Data center Green computing Incentive-based job scheduling algorithm Server Temperature

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ON THE SCAlabILITY OF ON-DEMAND ROUTING PROTOCOLS FOR MOBILE AD HOC NETWORKS: AN ANALYTICAL STUDY

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Journal of Interconnection Networks 2001年第1期2卷 5-29页

作者： IONUŢ D. ARON SANDEEP K. S. GUPTA High Performance Computing Group Compaq Computer Corporation 110 Spit Brook Road Nashua NH 03062 USA Department of Computer Science and Engineering Arizona State University Tempe AZ 85287-5406 USA

Wireless systems, and mobile ad hoc networks in particular, are more likely to experience transmission and routing errors than their wired counterpart. Factors like the lack of infrastructure, node mobility, and random radio link quality can contribute to significantly higher error rates in these networks. In addition, errors have a more serious impact on the network's resources, due to limitations in bandwidth and battery power inherent to the wireless ad hoc environment. This further complicates the task of designing scalable routing protocols, since larger networks are likely to experience even more errors, which may lead to slower convergence, longer end-to-end delay and unnacceptably high number of retransmissions. In this paper, we focus on the impact of error prevention and recovery on the scaling properties of on-demand protocols for ad hoc networks. Our analytical study, based on the evaluation of the Witness Aided Routing (WAR) and the Dynamic Source Routing (DSR) protocols, shows that the lack of localized intervention in handling errors translates eventually into lack of scalability, both in terms of performance and resource consumption. As route length increases, the performance of DSR degrades dramatically, especially in the presence of fluctuating wireless link quality. Even for small routes, DSR's lack of an error handling mechanism leads to very low probability of success when there is a non-zero probability that links are not bidirectional. On the other hand, WAR remains relatively insensitive both to the length of the route and to variations in mobility and call rates, and has a higher tolerance to radio link instability. This indicates that lacalized error correction can increase route effectiveness and alleviate the effects of short-lived radio link problems to an extent that allows the protocol to scale with the network size.

关键词： Mobile Ad Hoc Networks Routing Protocols Scalability performance Analysis

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Extracting Light Energy from the Minor Surface Arc of an Electrically Pumped Elliptical Microcavity Laser

Extracting Light Energy from the Minor Surface Arc of an Ele...

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IEEE PhotonicsGlobal@Singapore, IPGC

作者： E. H. Khoo S. T. Ho Y. Huang I. Ahmed E. P. Li Advance Photonics and Plasmonics Institue of High Performance Computing Singapore Department of Electrical Engineering and Computer Science Northwestern University Evanston IL USA

In this paper, the efficiency of extracting light energy from the minor surface arc of the elliptical microcavity laser is investigated. The dynamic thermal equilibrium quantum medium FDTD (DTEQM-FDTD) model is used to simulate the field distribution and amplitude in the microcavity laser under electrical pumping. Light energy is extracted from the minor surface arc of the elliptical microcavity to a perpendicular waveguide. It is deduced from the field distribution that extraction efficiency of TM polarization is higher due to wider transverse field profile. Optimum light energy is extracted when the waveguide is 125 nm away from the edge of the elliptical minor arc. higher extraction efficiency is also obtained when the waveguide index is lower than the microcavity index. It is believed that this method of extracting light energy allows for smaller device size with higher power output for building photonic integrated circuit.

关键词： Surface emitting lasers Laser excitation Microcavities Pump lasers Laser modes Waveguide lasers Finite difference methods Time domain analysis Surface waves Optical polarization

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Precision Analysis of the Imaging Pipeline in the Square Kilometre Array

Precision Analysis of the Imaging Pipeline in the Square Kil...

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European Signal Processing Conference

作者： Anthony Griffin Nicolas Pradel Brody Radford David I. Wilson Andrew Ensor Electrical and Electronic Engineering Department Mathematical Sciences Department High Performance Computing Research Laboratory Computer Science Department Auckland University of Technology New Zealand

In this paper we present our end-to-end model of the imaging pipeline in the Square Kilometre Array. Our Sky Generator models the signals that are received by the Central Signal Processor (CSP), our CSP Correlator model then processes those signals to generate visibilities to pass to the science Data Processor (SDP). Our SDP Imaging model then grids the visibilities and inverse Fourier transforms them to produce a dirty image of the sky. Our modelling allows us to investigate the error that is introduced due to reduced numerical precision, and we then propose techniques to mitigate this error, and thus reduce the required amount of computational hardware.

关键词： Mathematical model Delays Antenna arrays Correlators Imaging Computational modeling

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