Suchergebnisse - Distributed Memory Computing

ClimateSpark: An in-memory distributed computing framework for big climate data analytics von Hu, Fei, Yang, Chaowei, Schnase, John L., Duffy, Daniel Q., Xu, Mengchao, Bowen, Michael K., Lee, Tsengdar, Song, Weiwei

“… This paper proposes an in-memory, distributed computing framework, ClimateSpark, to facilitate complex big data analytics and time-consuming computational tasks …”
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The Sixth Distributed Memory Computing Conference proceedings : April 28-May 1, 1991, Portland, Oregon von Distributed Memory Computing Conference (6th : 1991 : Portland, Or.), Stout, Quentin F., Wolfe, Michael Joseph, Ames Research Center

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Large-Scale Merging of Histograms using Distributed In-Memory Computing von Blomer, Jakob, Ganis, Gerardo

“… Currently, the merging of output histograms scales badly. The running time for distributed merging depends not only on the overall number of bins but also on the number partial histogram output files …”
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Selective Update for Hardware‐Friendly On‐Chip Training in Distributed Analog In‐Memory Computing Systems von Kang, Jaehyeon, Hong, Sangjun, Kim, Sangwook, Kim, Sangbum

“… Analog in‐memory computing (AiMC) significantly enhances computational efficiency for artificial neural networks by performing computations within memory …”
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In-Memory Computing Architectures for Sparse Distributed Memory von Mingu Kang, Shanbhag, Naresh R.

“… This paper presents an energy-efficient and high-throughput architecture for Sparse Distributed Memory (SDM …”
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Research on Join Operation of Temporal Big Data in Distributed Environment von ZHANG Wei,WANG Zhijie

“… Distributed system is an ideal choice for processing temporal large data join operation,but the existing distributed system cannot support the original temporal join query and cannot meet …”
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Distributed memory parallel computing of three-dimensional variable-density groundwater flow and salt transport von Verkaik, J., van Engelen, J., Huizer, S., Bierkens, M.F.P., Lin, H.X., Oude Essink, G.H.P.

“… •SEAWAT is parallelized using a MPI distributed memory approach.•Huge 3D SEAWAT models are now feasible for a wide range of users …”
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Adaptive message passing polling for energy efficiency: Application to software‐distributed shared memory over heterogeneous computing resources von Cudennec, Loïc

“… ‐performance embedded computing (HPEC) applications can benefit from the reuse of code coming from the high …”
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Runtime support for CPU-GPU high-performance computing on distributed memory platforms von Thomadakis, Polykarpos, Chrisochoides, Nikos

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A massively parallel implicit 3D unstructured grid solver for computing turbulent flows on latest distributed memory computational architectures von Nived, M.R., Eswaran, Vinayak

“… An implicit unstructured grid density-based solver–PRAVAHA based on a parallel variant of the lower upper symmetric Gauss-Seidel (LUSGS) method is developed to …”
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Power and limits of distributed computing shared memory models von Herlihy, Maurice, Rajsbaum, Sergio, Raynal, Michel

“… Considering a canonical distributed system model, where processes execute asynchronously, communicate by reading and writing shared memory, and fail by crashing, this paper surveys important results …”
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Optimization Techniques for a Distributed In-Memory Computing Platform by Leveraging SSD von Choi, June, Lee, Jaehyun, Kim, Jik-Soo, Lee, Jaehwan

“… In this paper, we present several optimization strategies that can improve the overall performance of the distributed in-memory computing system, “Apache Spark …”
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Level-set topology optimisation with unfitted finite elements and automatic shape differentiation von Wegert, Zachary J., Manyer, Jordi, Mallon, Connor N., Badia, Santiago, Challis, Vivien J.

“… •We present a general serial/memory-distributed implementation of level-set topology optimisation using unfitted finite elements and automatic shape differentiation …”
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Special Issue of the Journal of Parallel and Distributed Computing: Transactional Memory von Grahn, Håkan

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Design and implementation of reconfigurable acceleration for in-memory distributed big data computing von Hou, Junjie, Zhu, Yongxin, Du, Sen, Song, Shijin

“… Apache Spark is an efficient distributed computing framework for big data processing …”
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An object-oriented parallel programming language for distributed-memory parallel computing platforms von Pinho, Eduardo Gurgel, de Carvalho, Francisco Heron

“… However, distributed-memory parallelism tends to break modularity, encapsulation, and the functional independence of objects, since parallel computations cannot be encapsulated in individual objects …”
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A mathematical model to calculate real cost/performance in software distributed shared memory on computing environments von Khaneghah, Ehsan Mousavi, Shadnoush, Nosratollah, Ghobakhlou, Amir Hossein

“… One of the important factors in high-performance computing (HPC) is the cost/performance ratio …”
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OPC: A Distributed Computing and Memory Computing-Based Effective Solution of Big Data von Zhi Yang, Chunping Zhang, Mu Hu, Feng Lin

“… How to compute efficiently on the Big Data is the key of improving performance. By means of distributed computing or memory computing, many companies and institutions provide some technologies and produces …”
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Toward Interlanguage Parallel Scripting for Distributed-Memory Scientific Computing von Wozniak, Justin M., Armstrong, Timothy G., Maheshwari, Ketan C., Katz, Daniel S., Wilde, Michael, Foster, Ian T.

“… Scripting languages such as Python and R have been widely adopted as tools for the productive development of scientific software because of the power and …”
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Load Balancing Scheme for Effectively Supporting Distributed In-Memory Based Computing von Bok, Kyoungsoo, Choi, Kitae, Choi, Dojin, Lim, Jongtae, Yoo, Jaesoo

“… As digital data have increased exponentially due to an increasing number of information channels that create and distribute the data, distributed in-memory systems were introduced to process big data in real-time …”
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