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GPU based photon propagation for CORSIKA 8 5

GPU based photon propagation for CORSIKA 8

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5th international conference on Particle Physics and Astrophysics, ICPPA 2020

作者： Baack, D. Rhode, W. Technical University Dortmund Otto-Hahn-Strafie 4a Dortmund44227 Germany

Right on time for several large-scale experimental upgrades, the widely used and long-standing air shower simulation toolkit CORSIKA 7 will be updated to a "state of the art"C++ simulation framework. To meet the simultaneously rising demand for high-quality air shower simulations and the ecologic necessity to reduce energy consumption several new possibilities for optimizations will be tested. One of the biggest runtime consumers in the classic simulation is the propagation of fluorescence and Cherenkov photons through the atmosphere. With the rising popularity of highly parallel computing architectures, the runtime of this specific workload can be reduced significantly. In this Work, the most common architecture, in the form of GPUs, is utilized for this task. Two competing implementations in Cuda and OpenCL are compared and different techniques presented that enable a high GPU utilization. © Published under licence by IOP Publishing Ltd.

关键词： Graphics processing unit

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A Synchronization-Avoiding Distance-1 Grundy Coloring Algorithm for Power-Law Graphs 28

A Synchronization-Avoiding Distance-1 Grundy Coloring Algori...

引用

28th international conference on parallel architectures and Compilation Techniques (PACT)

作者： Firoz, Jesun Sahariar Zalewski, Marcin Lumsdaine, Andrew Pacific Northwest Natl Lab Seattle WA 98109 USA

ISBN: (纸本)9781728136134

In this paper, we propose a distributed, unordered, label-correcting distance-1 Grundy (vertex) coloring algorithm, namely, Distributed Control (DC) coloring algorithm. Our algorithm eliminates the need for vertex-centric barriers and global synchronization for color refinement, relying only on atomic operations and local termination detection to update vertex color. DC proceeds optimistically, correcting the colors asynchronously as the algorithm progresses and depends on local ordering of tasks to minimize the execution of sub-optimal work. We implement our DC coloring algorithm and the well-known Jones-Plassmann algorithm and compare their performance with 4 different types of standard RMAT graphs and real-world graphs. We show that the elimination of waiting time of global and vertex-centric barriers and investing this time for local ordering leads to improved scaling for graphs with prominent power-law characteristics and densely interconnected local subgraphs.

关键词： Color Decentralized control Message systems Synchronization Heuristic algorithms Task analysis parallel processing

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Evaluating OpenCL as a Standard Hardware Abstraction for a Model-based Synthesis Framework: A Case Study 7th

Evaluating OpenCL as a Standard Hardware Abstraction for a M...

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7th international conference on Model-Driven Engineering and Software Development (MODELSWARD)

作者： Rafique, Omair Schneider, Klaus Univ Kaiserslautern Dept Comp Sci Kaiserslautern Germany

ISBN: (纸本)9789897583582

In general, model-based design flows start from hardware-agnostic models and finally generate code based on the used model of computation (MoC). the generated code is then manually mapped with an additional non-trivial deployment step onto the chosen target architecture. this additional manual step can break all correctness-by-construction guarantees of the used model-based design, in particular, if the chosen architecture employs a different MoC than the one used in the model. To automatically bridge this gap, we envisage a holistic model-based design framework for heterogeneous synthesis that allows the modeling of a system using a combination of different MoCs. Second, it integrates the standard hardware abstractions using the Open Computing Language (OpenCL) to promote the use of vendor-neutral heterogeneous architectures. Altogether, we envision an automatic synthesis that maps models using a combination of different MoCs on heterogeneous hardware architectures. this paper evaluates the feasibility of incorporating OpenCL as a standard hardware abstraction for such a framework. the evaluation is presented as a case study to map a synchronous application on different target architectures using the OpenCL specification.

关键词： Model-based Design Heterogeneous Synthesis parallel Computing Languages

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Deep & Attention: A Self-Attention based Neural Network for Remaining Useful Lifetime Predictions

Deep & Attention: A Self-Attention based Neural Network for ...

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Mechatronics and Robotics Engineering (ICMRE), international conference on

作者： Yuanjun Liu Xingang Wang Institute of Automation Chinese Academy of Sciences School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (数字)9781665414890

ISBN: (纸本)9781665430531

the remaining useful lifetime (RUL) of assets plays a critical role in machine prognostics and health management (PHM). Accurate RUL predictions can reduce losses caused by equipment faults. Most existing data-driven PHM methods rely on long short-term memory (LSTM) networks to model the relationship of time series data and RUL. However, because of the sequential nature of LSTM, it is not conducive to parallel computing. Herein, we propose the Deep & Attention Network, which uses a combination of convolutional neural networks and Attention methodologies instead of LSTM. In the proposed Deep & Attention Network, the Attention component models the temporal property, while the Deep component learns the effect of noise data. Experiments on NASA's Commercial Modular Aero- Propulsion System Simulation datasets demonstrate that the proposed network achieves a level of performance similar to that of other state-of-the-art RUL prediction models. Moreover, compared with LSTM-based methods, our Self-Attention-based method is conducive to parallel computing.

关键词： Computational modeling Time series analysis parallel processing Data models Timing Systems simulation Prognostics and health management

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17th international conference on algorithms and architectures for parallel processing, ICA3PP 2017

17th International Conference on Algorithms and Architecture...

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17th international conference on algorithms and architectures for parallel processing, ICA3PP 2017

ISBN: (纸本)9783319654812

the proceedings contain 66papers. the special focus in this conference is on algorithms and architectures for parallel processing. the topics include: Pipelining computation and optimization strategies for scaling GROMACS on the sunway many-core processor;exploring FPGA-GPU heterogeneous architecture for ADAS;new huge page allocator with main memory compression;an fpga-based real-time moving object tracking approach;automatic acceleration of stencil codes in android devices;optimizing concurrent evacuation transfers for geo-distributed datacenters in SDN;energy-balanced and depth-controlled routing protocol for underwater wireless sensor networks;on the energy efficiency of sleeping and rate adaptation for network devices;private and efficient set intersection protocol for big data analytics;a topology-aware framework for graph traversals;adaptive traffic signal control with network-wide coordination;a novel parallel dual-character string matching algorithm on graphical processing units;distributed nonnegative matrix factorization with HALS algorithm on mapreduce;GPU-accelerated block-max query processing;KD-tree and healpix-based distributed cone search indexing system for multi-band astronomical catalogs;an out-of-core branch and bound method for solving the 0-1 knapsack problem on a GPU;the curve boundary design and performance analysis for DGM based on openFOAM;leakage-resilient password-based authenticated key exchange;secure encrypted data deduplication with ownership proof and user revocation;optimally selecting the timing of zero-day attack via spatial evolutionary game and performance analysis of a ternary optical computer based on M/M/1 queueing system.

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Transfer Learning for Airport Detection Based on Saliency Fusion of parallel Lines and Regions of Interest 7

Transfer Learning for Airport Detection Based on Saliency Fu...

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7th IEEE international conference on Computer Science and Network Technology (ICCSNT)

作者： Huang, Weihua Xia, Jing Xu, Mingdi Huang, Jinzhou Wuhan Digital Engn Inst AI Res Ctr Wuhan Peoples R China

ISBN: (纸本)9781728132990

Most existing airport detection methods for remote sensing image utilizes linear features of the airport runway insufficiently, and the computational complexity is high due to multi-scale anchor matching and global searching within full image. To solve this problem, an airport detection method based on saliency fusion of parallel lines and regions of interest is presented in this paper. Firstly the parallelism feature of the airport runway is extracted based on the prior knowledge of airport, and then regions of interest (ROI) is obtained according to the improved graph based visual saliency (GBVS). the airport is then located through the saliency fusion of parallel lines and regions of interest. Finally airport detection is achieved by transfer learning. the experimental results demonstrate that the proposed method is more advantageous than the comparison algorithms in terms of detection accuracy, processing speed, and false alarm rate. Moreover, the method only requires a small amount of samples for model training.

关键词： airport detection parallel line graph based visual saliency saliency fusion transfer learning

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Extending EAST-ADL for Modeling and Analysis of Partitions on Functional architectures 7th

Extending EAST-ADL for Modeling and Analysis of Partitions o...

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7th international conference on Model-Driven Engineering and Software Development (MODELSWARD)

作者： Etzel, Christoph Bauer, Bernhard Univ Augsburg Inst Comp Sci Augsburg Germany

ISBN: (纸本)9789897583582

the complexity in automotive systems engineering is increasing over the last decade. In particular, new comfort functions as well as functions towards autonomous driving are reasons for this complexity. A new dimension is introduced by the usage of multi-core processors since there is a shift from sequential to parallel thinking in the different development phases. therefore, in this paper we present an approach for supporting the development process of distributed systems aligned with the EAST-ADL approach, by using partitioning. We present an extension to EAST-ADL for partitioning and show ways how an automatic partitioning on different levels of abstraction can be achieved. these partitions can support system designers during the design process of functional architectures, by giving a first insight how well the functional components can be distributed on hardware in later stages of the development process.

关键词： System Architecture Model-driven Systems Engineering Automotive Systems Engineering EAST-ADL

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On the implementation of taylor models on multiple graphics processing units for rigorous computations 14th

On the implementation of taylor models on multiple graphics ...

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14th international Scientific conference on parallel Computational Technologies, PCT 2020

作者： Evstigneev, Nikolay M. Ryabkov, Oleg I. Federal Research Center "Computer Science and Control" Institute for System Analysis Russian Academy of Science Moscow Russia

ISBN: (纸本)9783030553258

Taylor Models present the polynomial generalization of the simple interval approach for rigorous computations of differential equations suggested by Martin Berz. these models are used to obtain better estimates for guaranteed enclosures of solutions. the authors of the recent papers describing the mathematical framework suggest some improvements of the models. these models are assumed to be applied to high dimensional systems of equations. therefore, a parallel version of these models is required. In this paper improved Taylor models (TM) are implemented on the architecture of the general-purpose graphics processing units (GPU). Algebraic operations and algorithms are implemented with a particular optimization for the computational architecture, namely: addition, multiplication, convolution to two TMs, substitution of independent variable, integration with respect to a variable and boundary interval estimations. For this purpose interval arithmetic is implemented using intrinsic functions. the multiple GPU version is also implemented and its scalability is verified. In terms of acceleration various test examples are presented. the reduction operation is discovered to the bottleneck of the GPU performance. Using the GPU version for sufficiently large problem dimensions is suggested. © Springer Nature Switzerland AG 2020.

关键词： Graphics processing unit

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A 2D parallel Triangle Counting Algorithm for Distributed-Memory architectures 19

A 2D Parallel Triangle Counting Algorithm for Distributed-Me...

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48th international conference on parallel processing (ICPP)

作者： Tom, Ancy Sarah Karypis, George Univ Minnesota Dept Comp Sci & Engn Minneapolis MN 55455 USA

ISBN: (纸本)9781450362955

Triangle counting is a fundamental graph analytic operation that is used extensively in network science and graph mining. As the size of the graphs that needs to be analyzed continues to grow, there is a requirement in developing scalable algorithms for distributed-memory parallel systems. To this end, we present a distributedmemory triangle counting algorithm, which uses a 2D cyclic decomposition to balance the computations and reduce the communication overheads. the algorithm structures its communication and computational steps such that it reduces its memory overhead and includes key optimizations that leverage the sparsity of the graph and the way the computations are structured. Experiments on synthetic and real-world graphs show that our algorithm obtains an average relative speedup range between 3.24 to 7.22 out of 10.56 across the datasets using 169 MPI ranks over the performance achieved by 16 MPI ranks. Moreover, we obtain an average speedup of 10.2 times on comparison with previously developed distributed-memory parallel algorithms.

关键词： triangle counting graph analytics distributed-memory

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Efficient architectures for Planar and DC modes of Intra Prediction in HEVC

Efficient Architectures for Planar and DC modes of Intra Pre...

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international conference on Signal processing and Integrated Networks (SPIN)

作者： Lakshmi P. Aparna Department of Electronics and Communication National Institute of Technology Surathkal Karnataka India

ISBN: (数字)9781728154756

ISBN: (纸本)9781728154763

High efficiency video coding (HEVC) handles the ever increasing global video content with better compression efficiency. Complex partition and increased number of angular modes in intra prediction is one of the factors responsible to achieve this but at the expense of complex computations. In this work, we propose two hardware architectures, parallel Pipelined Architecture (PPA), and parallel Datapath Architecture (PDA) for the planar and direct current (DC) modes of intra prediction in HEVC. PPA supports a combination of pipelining and parallel schemes, reuses the multipliers to reduce the hardware resources. PDA includes datapath0 for planar mode and datapath1 for DC mode. they function in parallel. they support all the block sizes and implemented on Artix-7 field programmable gate array (FPGA). the implemented results show that PDA uses 20% fewer resources for block size 4, while PPA uses 20%, 46%, and 62% fewer resources for block sizes 8, 16, and 32, respectively. Detailed synthesis results show that PPA and PDA achieve a throughput of 8 pixels/clock cycle and hence can support 4K videos at 30 frames per second.

关键词： Computer architecture Streaming media Hardware Handheld computers Field programmable gate arrays throughput Encoding

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