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Introducing parallelism by Using REPARA C++11 Attributes

Introducing Parallelism by Using REPARA C++11 Attributes

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Euromicro conference on parallel, distributed and Network-Based processing

作者： M. Danelutto J. Daniel Garcia Luis Miguel Sanchez Rafael Sotomayor M. Torquati Dept. of Computer Science Univ. of Pisa Computer Science and Engineering Dep. Universidad Carlos III de Madrid

Patterns provide a mechanism to express parallelism at a high level of abstraction and to make easier the transformation of existing legacy applications to target parallel frameworks. That also opens a path for writing new parallel applications. In this paper we introduce the REPARA approach for expressing parallel patterns and transforming the source code to parallelism frameworks. We take advantage of C++11 attributes as a mechanism to introduce annotations and enrich semantic information on valid source code. We also present a methodology for performing transformation of source code that allows to target multiple parallel programming models. Another contribution is a rule based mechanism to transform annotated code to those specific programming models. The REPARA approach requires programmer intervention only to perform initial code annotation while providing speedups that are comparable to those obtained by manual parallelization.

关键词： Kernel parallel processing Pipelines Syntactics parallel programming Standards

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Suitability of the Random Topology for HPC applications

Suitability of the Random Topology for HPC Applications

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Euromicro conference on parallel, distributed and Network-Based processing

作者： Fabien Chaix Ikki Fujiwara Michihiro Koibuchi FORTH-ICS CARV Laboratory Heraklion Greece National Institute of Informatics Tokyo Japan

With each technology improvement, parallel systems get larger, and the impact of interconnection networks becomes more prominent. Random topologies and their variants received more and more attention lately due to their low diameter, low average shortest path length and high scalability. However, existing supercomputers still prefer torus and fat-tree topologies, because a number of existing parallel algorithms are optimized for them and the interconnect implementation is more straight-forward in terms of floor layout. In this paper, we investigate the performance of traditional and emerging parallel workloads on these network topologies, using a event-discrete simulation called SimGrid. We observe that random topology is better for Fourier Transform (FT), Graph500, Himeno benchmarks, and its improvement over the counterpart torus is 18 percent in average. Through this study, our recommendation is to use random topology in current and future supercomputers for these scientific and big-data analysis parallel applications.

关键词： Topology Network topology Benchmark testing Bandwidth Supercomputers Switches Measurement

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OSI Standards and the Top Fallacy of distributed Computing

OSI Standards and the Top Fallacy of Distributed Computing

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international conference on parallel processing Workshops (ICPPW)

作者： Justin Y. Shi CIS Department Temple University Philadelphia PA

ISBN: (纸本)9781509028269

In 1994, the OSI(Open System Interconnection)/IEC 7498-1:1994 Model was published. The two-sided point-to-pointcommunication TCP/IP protocol became widely accepted as the standard building block for all distributed applications. The OSI Standards states "Transport Layer: Reliable transmission of data segments between points on a network, including segmentation, acknowledgement and multiplexing".In the same year, "The Network is Reliable" was named thetop fallacy in distributed computing by Peter Deutsch andhis colleagues. Understanding these two conflicting descriptions for the seemingly same object has been the lasting myth for distributed and parallel processing. Investigating this myth under the lens of extreme scale computing revealed that it is impossible to implement reliablecommunications in the face of crashes of either the sender or the receiver in every point-to-point communication channel. The impossibility theory exposed two unacceptable risks: a) arbitrary data loss, and b) increasing probability of datalosses as the infrastructure expands in size. Therefore, thedirect use of point-to-point protocols in distributed and parallel applications is the cause of the notorious scalability dilemma. The top fallacy allegation in distributed computingis supported by theory and practice. The scalability dilemma is responsible for the growing planned and unplanned downtimes in existing infrastructures. It is also responsible for the under reported data and service losses in mission critical applications. It makes large scale computation's reproducibility increasingly more difficult. The growing instability is also linked to our inability to quantify parallel application's scalability. This paper reports a statistic multiplexed computing (SMC) paradigm designed for solving the scalability and reproducibility problems. Preliminary computational results are reported in support of the proposed solution.

关键词： Reliability Multiplexing Program processors Computer architecture Scalability Protocols Switches

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Automatic and Systematic Sentinel-1 SBAS-DInSAR processing chain for deformation time-series generation

Automatic and Systematic Sentinel-1 SBAS-DInSAR processing c...

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2016 CENTERIS/ProjMAN/HCist

作者： De Luca, C. Bonano, M. Casu, F. Fusco, A. Lanari, R. Manunta, M. Manzo, M. Pepe, A. Zinno, I IREA CNR Via Diocleziano 328 I-80124 Naples Italy

Sentinel-1 is the first of a family of satellites designed to provide a data stream for the European environmental monitoring program known as Copernicus. Sentinel-1 constellation has been specifically designed to perform, over land, advanced Differential Interferometric Synthetic Aperture Radar (DInSAR) analyses for the investigation of Earth's surface displacements. In particular, owning to its 6-day revisit time and its innovative acquisition mode, which is referred to as Terrain Observation by Progressive Scans (TOPS) and is fundamental for guaranteeing a global spatial coverage, Sentinel-1 constellation is contributing to the creation of a framework for the exploitation of "Big Data" for Earth Observation (EO) applications. In this paper, we present an efficient and automatic implementation of the parallel Small BAseline Subset (P-SBAS) DInSAR algorithm, specifically intended for the processing of Sentinel-1 SAR data. The algorithm is able to run on distributed computing infrastructures by effectively exploiting a large number of resources, and allows the generation of ground displacement time-series. The aim of this paper is to show that it is possible to automatically and continuously process, in a short time frame, very large sequences of Sentinel-1 data, thus allowing us to perform advanced interferometric analyses at an unprecedented large scale. In addition, the proposed Sentinel-1 P-SBAS algorithm has also been tested on commercial public cloud computing platforms, such as those provided by the Amazon Web Services. The presented Sentinel-1 P-SBAS processing chain is well suited to build up operational services for the easy and rapid generation of advanced interferometric products, which can be very useful not only for scientific purposes but also for the risk management and the natural hazard monitoring. (C) 2016 The Authors. Published by Elsevier B.V.

关键词： Sentinel-1 P-SBAS DInSAR Cloud Computing AWS

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Online Public Opinion System: Design and applications 4

Online Public Opinion System: Design and Applications

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4th international conference on Advanced Cloud and Big Data (CBD)

作者： Zhang, Lu Wang, Xiaopeng Bu, Zhan Cao, Jie Wu, Zhiang Nanjing Univ Finance & Econ Jiangsu Prov Key Lab E Business Nanjing Peoples R China Jiangsu Posts & Telecommun Planning Designing Ins Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781509036776

Online Public Opinion Systems (OPOS) target at collecting, analyzing, summarizing and monitoring massive public opinions on the Internet in real time. Meanwhile, OPOS often have the ability to identify the key or sudden events, and thus notify related people immediately for rapid responses to these events. As part of this endeavor, this paper introduces the architecture and techniques of an OPOS that has been used by several large enterprises. This self-designed OPOS generally contains data layer, computation layer and application layer from bottom to up. We first introduce the basic function and key techniques of each layer, and then present several typical yet important algorithms on the computation layer. Experimental results on real-world data validate the effectiveness of algorithms fixed in our system. Last but not the least, a system demonstration in a ship-building company is provided to justify the value of our OPOS for real enterprises.

关键词： Public Opinion distributed System Text Mining Multi-criterion Ranking Sentimental Analysis

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techniques and systems for large dynamic graphs

Techniques and systems for large dynamic graphs

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2016 ACM SIGMOD/PODS Ph.D. Symposium, SIGMOD 2016

作者： Ammar, Khaled Cheriton School of Computer Science University of Waterloo ON Canada

ISBN: (纸本)9781450341929

Many applications regularly generate large graph data. Many of these graphs change dynamically, and analysis techniques for static graphs are not suitable in these cases. This thesis proposes an architecture to process and analyze dynamic graphs. It is based on a new computation model called Grab'n Fix. The architecture includes a novel distributed graph storage layer to support dynamic graph processing. These proposals were inspired by an extensive quantitative and qualitative analysis of existing graph analytics platform. © 2016 ACM.

关键词： Graphic methods

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A Cluster-as-Accelerator Approach for SPMD-Free Data parallelism

A Cluster-as-Accelerator Approach for SPMD-Free Data Paralle...

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Euromicro conference on parallel, distributed and Network-Based processing

作者： Maurizio Drocco Claudia Misale Marco Aldinucci Computer Science Department University of Torino Torino Italy

In this paper we present a novel approach for functional-style programming of distributed-memory clusters, targeting data-centric applications. The programming model proposed is purely sequential, SPMD-free and based on high-level functional features introduced since C++11 specification. Additionally, we propose a novel cluster-as-accelerator design principle. In this scheme, cluster nodes act as general interpreters of user-defined functional tasks over node-local portions of distributed data structures. We envision coupling a simple yet powerful programming model with a lightweight, locality-aware distributed runtime as a promising step along the road towards high-performance data analytics, in particular under the perspective of the upcoming exascale era. We implemented the proposed approach in SkeDaTo, a prototyping C++ library of data-parallel skeletons exploiting cluster-as-accelerator at the bottom layer of the runtime software stack.

关键词： Runtime Skeleton Programming Computational modeling Libraries parallel processing Computer architecture

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Evaluation of Splitting-Up Conjugate Gradient Method on GPUs

Evaluation of Splitting-Up Conjugate Gradient Method on GPUs

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Euromicro conference on parallel, distributed and Network-Based processing

作者： Akiyoshi Wakatani Faculty of Intelligence and Informatics Konan University Kobe Japan

This paper describes the implementation of a preconditioned CG (Conjugate Gradient) method on GPUs and evaluates the performance compared with CPUs. Our CG method utilizes SP (Splitting-Up) preconditioner, which is suitable for parallel processing because other dimensions except for one dimension are independent. In order to enhance the memory bandwidth to the global memory of GPUs, our implementation utilizes a pseudo matrix transposition before and after a tridiagonal matrix solver, which results in coalesced memory accesses. In addition, the number of pseudo matrix transpositions can be reduced to only one by using a rotation configuration technique. By these techniques, the speedups of our approach can be enhanced by up to 102.2%.

关键词： Instruction sets Iterative methods Convergence Graphics processing units Matrices Performance evaluation Bandwidth

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Efficient Execution of SkePU Skeleton Programs on the Low-Power Multicore Processor Myriad2

Efficient Execution of SkePU Skeleton Programs on the Low-Po...

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Euromicro conference on parallel, distributed and Network-Based processing

作者： Sebastian Thorarensen Rosandra Cuello Christoph Kessler Lu Li Brendan Barry IDA Linköping University Linköping Sweden Movidius Ltd. Dublin Ireland

SkePU is a state-of-the-art skeleton programming library for high-level portable programming and efficient execution on heterogeneous parallel computer systems, with a publically available implementation for general-purpose multicore CPU and multi-GPU systems. This paper presents the design, implementation and evaluation of a new back-end of the SkePU skeleton programming library for the new low-power multicore processor Myriad2 by Movidius Ltd. This enables seamless code portability of SkePU applications across both HPC and embedded (Myriad2) parallel computing systems, with decent performance, on these architecturally very diverse types of execution platforms.

关键词： Skeleton Programming Multicore processing Containers Loading parallel processing

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Linked data platform for building cloud-based smart applications and connecting API access points with data discovery techniques 4

Linked data platform for building cloud-based smart applicat...

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4th IEEE international conference on Big Data, Big Data 2016

作者： Ferguson, Holly Vardeman, Charles Nabrzyski, Jarek University of Notre Dame Center for Research Computing South BendIN United States

ISBN: (纸本)9781467390040

Globalization and cloud computing have allowed major strides forward in terms of communication possibilities, but it is also illuminating how many different resource options and formats exist access to which would dramatically increase the accuracy and reliability of choices made as a result of computational output. As a result, there is increasing need for methods resolving levels of data translations necessary for the effectiveness of distributed Linked Data platforms, especially in the context of the Building Information Modeling domain in which we conduct our work. The following research presents the current state of our Linked Data Platform for handling and processing Resilience and BIM data from existing and remotely located data stores and simulation models. This approach focuses on data interoperability and illustrates the functional interactions of a set of lightweight API endpoints that serve resources as requests are extensible with the HYDRA Core Vocabulary to increase data discoverability opportunities. © 2016 IEEE.

关键词： Interoperability

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