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共 4336 条记录，以下是1181-1190 订阅

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GPU-accelerated differential dependency network analysis 26

GPU-accelerated differential dependency network analysis

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26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Speyer, Gil Rodriguez, Juan J. Bencomo, Tomas Kim, Seungchan Translat Genom Res Inst Phoenix AZ 85004 USA Prairie View A&M Univ Prairie View TX USA

ISBN: (纸本)9781538649756

EDDY (Evaluation of Differential DependencY) interrogates transcriptomic data to identify differential genetic dependencies within a biological pathway. Through its probabilistic framework with resampling and permutation, aided by the incorporation of annotated gene sets, EDDY demonstrated superior sensitivity to other methods. However, this statistical rigor incurs considerable computational cost, limiting its application to larger datasets. The ample and independent computation coupled with manageable memory footprint positioned EDDY as a strong candidate for graphical processing unit (GPU) implementation. Custom kernels decompose the independence test loop, network construction, network enumeration, and Bayesian network scoring to accelerate the computation. GPU-accelerated EDDY consistently exhibits two orders of magnitude in performance enhancement, allowing the statistical rigor of the EDDY algorithm to be applied to larger datasets.

关键词： EDDY differential dependency analysis gene regulatory networks biochemical pathways GPU

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Task parallelism in the WRF model through computation offloading to many-core devices 26

Task parallelism in the WRF model through computation offloa...

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26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Baya, Rodrigo Porrini, Claudio Pedemonte, Martin Ezzatti, Pablo Univ Republica Fac Ingn Montevideo Uruguay

ISBN: (纸本)9781538649756

In the last decade the use of hybrid hardware (e.g., multicore processors + coprocessors) has been growing on the HPC field. However, this evolution in the HPC hardware has not been fully exploited by the WRF model since it shows limitations in the scalability when a large number of computing units are used. In a previous work, we proposed an asynchronous architecture for the WRF that overlaps the radiation computation with the execution of the rest of the model. In this work, we extend this idea with the aim of exploiting the computational power offered by hybrid hardware platforms. Specifically, we implement an OpenMP version of the asynchronous architecture and include the use of two types of coprocessors, a Xeon Phi and a GPU. The experimental evaluation performed shows that our proposal is able to adequately exploit these secondary computation devices, reaching interesting runtime reductions when solving tests cases from real scenarios.

关键词： Solar radiation computation GPUs Xeon Phi

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International conference on Applications in Electronics Pervading Industry, Environment and Society, ApplePies 2019

International Conference on Applications in Electronics Perv...

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International conference on Applications in Electronics Pervading Industry, Environment and Society, ApplePies 2019

ISBN: (纸本)9783030372767

The proceedings contain 64 papers. The special focus in this conference is on Applications in Electronics Pervading Industry, Environment and Society. The topics include: Characterization of a RISC-V Microcontroller Through Fault Injection;analyzing Machine Learning on Mainstream Microcontrollers;Quality Aware Selective ECC for Approximate DRAM;Digital Random Number Generator Hardware Accelerator IP-Core for Security Applications;An Energy Optimized JPEG Encoder for parallel Ultra-Low-Power processing-Platforms;VLSI Architectures for the Steerable-Discrete-Cosine-Transform (SDCT);hardware Architecture for a Bit-Serial Odd-Even Transposition Sort network with On-The-Fly Compare and Swap;Variable-Rounded LMS Filter for Low-Power Applications;A Simulink Model-based Design of a Floating-Point Pipelined Accumulator with HDL Coder Compatibility for FPGA Implementation;Design, Operation and BER Test of Multi-Gb/s Radiation-Hard Drivers in 65 nm Technology for Silicon Photonics Optical Modulators;bitmap Index: A processing-in-Memory Reconfigurable Implementation;digital Circuit for the Arbitrary Selection of Sample Rate in Digital Storage Oscilloscopes;An Intelligent Informative Totem Application based on Deep CNN in Edge Regime;FPGA-based Clock Phase Alignment Circuit for Frame Jitter Reduction;Real-Time Embedded System for Event-Driven sEMG Acquisition and Functional Electrical Stimulation Control;a Fast Approximation of the Hyperbolic Tangent When Using Posit Numbers and Its Application to Deep Neural networks;2-D Acoustic Particle Velocity Sensors based on a Commercial Post-CMOS MEMS Technology;A High-SNR distributed Acoustic Sensor based on -OTDR Using a Scalable Phase Demodulation Scheme Without Phase Unwrapping;Silicon Nanowires as Contact Between the Cell Membrane and CMOS Circuits;ultra-Low Power Displacement Sensor;a Rad-Hard Bandgap Voltage Reference for High Energy Physics Experiments;wireless Sensors for Intraoral Force Monitoring.

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NV-PhTM: An Efficient Phase-based Transactional System for Non-volatile Memory 26th

NV-PhTM: An Efficient Phase-Based Transactional System for N...

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26th International conference on parallel and distributed Computing (Euro-Par)

作者： Baldassin, Alexandro Murari, Rafael de Carvalho, Joao P. L. Araujo, Guido Castro, Daniel Barreto, Joao Romano, Paolo UNESP Univ Estadual Paulista Sao Paulo Brazil UNICAMP Inst Comp Sao Paulo Brazil Univ Lisbon INESC ID Lisbon Portugal Univ Lisbon Inst Super Tecn Lisbon Portugal

ISBN: (纸本)9783030576752;9783030576745

Non-Volatile Memory (NVM) is an emerging memory technology aimed to eliminate the gap between main memory and stable storage. Nevertheless, today's programs will not readily benefit from NVM because crash failures may render the program in an unrecoverable and inconsistent state. In this context, durable transactions have been proposed as a mechanism to ease the adoption of NVM by simplifying the task of programming NVM systems. Existing systems employ either hardware (HW) or software (SW) transactions with different performance tradeoffs. Although SW transactions are flexible and unbounded, they may significantly hurt the performance of short-lived transactions. On the other hand, LIW transactional memories provide low-overhead but are resource-constrained. In this paper we present NV-PhTM, a transactional system for NVM that delivers the best out of both LIW and SW transactions by dynamically selecting the best execution mode according to the application's characteristics. NV-PhTM is comprised of a set of heuristics to guide online phase transition while retaining persistency in case of crashes during migration. To the best of our knowledge, NV-PhTM is the first phase-based system to provide durable transactions. Experimental results with the STAMP benchmark show that the proposed heuristics are efficient in guiding phase transitions with low overhead.

关键词： Transactions Transactional memory Persistent memory

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Value-based Allocation of Docker Containers 26

Value-Based Allocation of Docker Containers

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26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Dziurzanski, Piotr Indrusiak, Leandro Soares Univ York Dept Comp Sci Deramore Lane York Y010 5GH N Yorkshire England

ISBN: (纸本)9781538649756

Recently, an increasing number of public cloud vendors added Containers as a Service (CaaS) to their service portfolio. This is an adequate answer to the growing popularity of Docker, a software technology allowing Linux containers to run independently on a host in an isolated environment. As any software can be deployed in a container, the nature of containers differs and thus assorted allocation and orchestration approaches are needed for their effective execution. In this paper, we focus on containers whose execution value for end users varies over time. A baseline and two dynamic allocation algorithms are proposed and compared with the default Docker scheduling algorithm. Experiments show that the proposed approach can increase the total value obtained from a workload up to three times depending on the workload heaviness. It is also demonstrated that the algorithms scale well with the growing number of nodes in a cloud.

关键词： Container orchestration Market-based heuristics Containers as a Service Cloud computing

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Getmewhere: A Location-based Privacy-Preserving Information Service 26

Getmewhere: A Location-Based Privacy-Preserving Information ...

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26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Bella, G. Costantino, G. Marino, F. Martinelli, F. UniCT DMI Catania Italy IIT CNR Pisa Italy SSSA NoES TeCIP Pisa Italy

ISBN: (纸本)9781538649756

Mobile users have got used to getting useful information while they are literally on the move. An implication of this habit is that certain live information, such as that for navigation, for dating and for handling emergencies, should be tailored to the user's current location. While this is technically feasible with the current technology, it raises concerns on the user's location privacy. To address the delicate tradeoff between user's location privacy and appropriateness of the information for that location, this paper discusses three information delivery protocols. One is the widely adopted Android's protocol, the other two are the authors' novel ones, termed AL protocol and LBPP protocol respectively. The former conceals the user's location within a geographical area, the latter employs secure two-party computation. Privacy of all protocols is analysed, motivating the choice to implement the LBPP protocol. It is made available as the "Getmewhere" service for the reader to download.

关键词： Privacy Secure Two-Party Computation Location-Anonymity Android Application Mobile Protocol

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A New DOA Estimation Algorithm based on PSO-Gauss-Newton

A New DOA Estimation Algorithm Based on PSO-Gauss-Newton

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International conference on Information, Communication and networks (ICICN)

作者： Xuerong Cui Rongrong Zhou Haihua Chen Yucheng Zhang Shibao Li Jingyao Zhang College of Oceanography and Space Informatics China University of Petroleum Qingdao China Chinese Academy of Sciences Institute of Computing Technology Beijing China Engineering Laboratory of Intelligent Agricultural Machinery Equipment Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781665411578

Direction-of-Arrival (DOA) estimation is a basic and important problem in sensor array signal processing. In order to solve this problem, many algorithms have been proposed. Among them, the Stochastic Maximum Likelihood (SML) algorithm has become one of the most concerned algorithms because of its high DOA accuracy. However, the computational complexity of SML algorithm is very high, so Gauss-Newton algorithm is used as the analytical algorithm of SML in this paper. The traditional Gauss-Newton algorithm used in DOA estimation has some defects: (1) over reliance on the choice of initial values (2) fall into local optimum easily. In order to solve these defects and further reduce the computational complexity, this paper proposes a new DOA estimation algorithm based on PSO-Gauss-Newton. First of all, a limited solution space is proposed based on the precondition that the estimated signal must be non-negative definite. Then, according to the idea of PSO(Particle Swarm Optimization) algorithm, multiple scattering points are randomly distributed in the limited solution space. Each initial particle performs Gauss-Newton algorithm iteration separately. Finally, the global optimal solution is determined by comparison of all the convergence values. Simulation results the computational complexity of this algorithm is almost comparable to that of MUSIC algorithm.

关键词： Maximum likelihood estimation Direction-of-arrival estimation Simulation Signal processing algorithms Scattering parallel processing Multiple signal classification

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6th conference on Information and Communication Technologies, *** 2019

6th Conference on Information and Communication Technologies...

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6th conference on Information and Communication Technologies, TIC.EC 2019

ISBN: (纸本)9783030357399

The proceedings contain 19 papers. The special focus in this conference is on Information and Communication Technologies. The topics include: A Novel Approach to Detect Missing Values Patterns in Time Series Data;detection and Classification of Urban Actors Through TensorFlow with an Android Device;support Vector Regression to Downscaling Climate Big Data: An Application for Precipitation and Temperature Future Projection Assessment;Prediction of Imports of Household Appliances in Ecuador Using LSTM networks;integrating Corporate Social Responsibility to a Process-based Cost Analysis System;models, Guidelines and Trends for Process Quality Management: A Literature Review;modeling and Ranking External Stakeholders in Open Source Software Adoption;Landslide Monitoring System Through Wireless Sensor network Using RTK Technique: Case of Study Basin of Loja City;a Design for a Secure Malware Laboratory;a Bayesian network Approach to Identity Climate Teleconnections Within Homogeneous Precipitation Regions in Ecuador;design and Implementation of an Automatic System for the Monitoring and Monitoring of a Prototype Refrigeration Plant with parallel Compressors;design of Emergency Call Record Support System Applying Natural Language processing Techniques;Integrating ISA-95 and IEC-61499 for distributed Control System Monitoring;genomic Databases Exploration Using Conceptual Models;management of Humanitarian Logistics in the Stages Prior to Natural Disasters in Canton Ambato, Ecuador;variability Features in Building Approaches for Context-Aware Mobile Applications;Wheelchair Controlled by Eye Movement Using Raspberry Pi for ALS Patients.

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A Framework for Deep Q-Learning based Hybrid DVFS Algorithms for Real-Time Systems

A Framework for Deep Q-Learning Based Hybrid DVFS Algorithms...

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IEEE International conference on Big Data and Cloud Computing (BdCloud)

作者： Ke Yu Hongwang Xiao Ying Zhao Jiao Tian Jinjun Chen Swinburne University of Technology Hawthorn VIC Australia

In real-time systems, energy consumption is one of the most critical challenges. Dynamic voltage and frequency scaling (DVFS) algorithms have been widely applied to balance the trade-off between performance and power consumption. We first review some classic DVFS methods, e.g., LA-EDF and CCEDF, and then a hybrid DVFS algorithm (Soft-LA2) that we proposed recently. Soft-LA2 needs domain knowledge to set the trade-off parameter manually to achieve energy saving compared with classic methods. Motivated by recent deep learning technologies applied in DVFS, in this paper, we propose a new framework for Soft-LA2. Our method automatically optimizes parameters for Soft-LA2, which leads to more power saving compared with random parameter setting in Soft-LA2. Simulation results show that under certain neural network architecture setting, our method can find the best parameters automatically to achieve power saving performance. Furthermore, with test data, our proposed method saves 4.9% and 9.6% power consumption compared with relevant learning method DQL-EES and random setting Soft-LA2, respectively.

关键词： Training Q-learning Power demand Heuristic algorithms Simulation Neural networks Voltage

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Hybrid OpenMP-MPI parallelism: porting experiments from small to large clusters 26

Hybrid OpenMP-MPI parallelism: porting experiments from smal...

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26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Ferretti, Marco Santangelo, Luigi Univ Pavia Dept Comp Engn Pavia Italy

ISBN: (纸本)9781538649756

After a brief introduction on Cross Motif Search and its OpenMP and Hybrid OpenMP-MPI implementations, this paper compares the scalability, efficiency and speedup of the hybrid implementation on a small cluster and on a real HPC system, explaining which factors make the application more efficient when it runs on the real HPC architecture. Using profiling and tracing tools highlighted that the hybrid implementation cannot exploit the OpenMP parallelism because of different factors (heap contention among the threads, spin time and overhead time introduced by OpenMP and thread-safe external functions), making the pure MPI implementation better than any other hybrid one. By characterizing of the workload, we also discovered that the application gets improved by changing the order with which tasks are processed. This observation leads to the introduction of a new selection policy, named Longest Job First. The new policy represents a winning solution for tasks submission among all running MPI processes.

关键词： OpenMP MPI hybrid parallelism performance & profiling HPC system Marconi

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