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13th IEEE International Conference on Ubiquitous Intelligence and computing, 13th IEEE International Conference on Advanced and Trusted computing, 16th IEEE International Conference on Scalable computing and Communications, IEEE International Conference on Cloud and Big Data computing, IEEE International Conference on Internet of People and IEEE Smart World Congress and Workshops, UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld 2016

作者： Sun, Guangzhong Zhou, Yinghua Li, Jing School of Computer Science University of Science and Technology of China Hefei230026 China Collaborative Innovation Center of High Performance Computing National University of Defense Technology Changsha410073 China Network and Information Center University of Science and Technology of China Hefei230026 China

ISBN: (纸本)9781509027705

Recently, many research works have been done as a part of smart city research. As a miniature of a city, a university campus is a appropriate environment for kinds of research on smart city. One practical project named smart campus has been built in the University of Science, Technology of China(USTC) since the year of 2012. In this project, several smart campus systems are built based on human behavioral data analysis, they are providing many personal, useful services for students in their daily life. the systems are also used by university administrators to make some positive social impacts. In this paper, the methods to build some main functions in those systems are proposed. In addition, some research issues including privacy-preserving, incentive mechanism are also discussed. © 2016 IEEE.

关键词： Smart city

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Improving the performance of Cardiac Simulations in a Multi-GPU architecture Using a Coalesced Data and Kernel Scheme 16th

Improving the Performance of Cardiac Simulations in a Multi-...

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16th International Conference on Algorithms and architectures for Parallel Processing (ICA3PP)

作者： Cordeiro, Raphael Pereira Oliveira, Rafael Sachetto dos Santos, Rodrigo Weber Lobosco, Marcelo Univ Fed Juiz de Fora Programa Modelagem Computac Juiz de Fora Brazil Univ Fed Sao Joao del Rei Dept Ciencia Computacao Sao Joao del Rei Brazil

ISBN: (纸本)9783319495835;9783319495828

In this paper we evaluate a new coalesced data and kernel scheme used to reduce the execution costs of cardiac simulations that run on multi-GPU environments. the new scheme was tested for an important part of the simulator, the solution of the systems of Ordinary Differential Equations (ODEs). the results have shown that the proposed scheme is very effective. the execution time to solve the systems of ODEs on the multi-GPU environment was reduced by half, when compared to a scheme that does not implemented the proposed data and kernel coalescing. As a result, the total execution time of cardiac simulations was 25% faster.

关键词： high performance computing Parallel computing Multi-GPU Cardiac electrophysiology Computational modeling

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Towards practical algorithm based fault tolerance in dense linear algebra 16

Towards practical algorithm based fault tolerance in dense l...

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25th ACM International symposium on high-performance Parallel and Distributed computing, HPDC 2016

作者： Wu, Panruo Guan, Qiang DeBardeleben, Nathan Blanchard, Sean Tao, Dingwen Liang, Xin Chen, Jieyang Chen, Zizhong Department of Computer Science and Engineering University of California RiversideCA United States Ultrascale Systems Research Center Los Alamos National Laboratory United States

ISBN: (纸本)9781450343145

Algorithm based fault tolerance (ABFT) attracts renewed interest for its extremely low overhead and good scalability. However the fault model used to design ABFT has been either abstract, simplistic, or both, leaving a gap between what occurs at the architecture level and what the algorithm expects. As the fault model is the deciding factor in choosing an effective checksum scheme, the resulting ABFT techniques have seen limited impact in practice. In this paper we seek to close the gap by directly using a comprehensive architectural fault model and devise a comprehensive ABFT scheme that can tolerate multiple architectural faults of various kinds. We implement the new ABFT scheme into high performance linpack (HPL) to demonstrate the feasibility in large scale high performance benchmark. We conduct architectural fault injection experiments and large scale experiments to empirically validate its fault tolerance and demonstrate the overhead of error handling, respectively. Copyright © 2016 by the Association for computing Machinery, Inc. (ACM).

关键词： Fault tolerance

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the Co-design of Astrophysical Code for Massively Parallel Supercomputers 16th

The Co-design of Astrophysical Code for Massively Parallel S...

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16th International Conference on Algorithms and architectures for Parallel Processing (ICA3PP)

作者： Glinsky, Boris Kulikov, Igor Chernykh, Igor Weins, Dmitry Snytnikov, Alexey Nenashev, Vladislav Andreev, Andrey Egunov, Vitaly Kharkov, Egor Inst Computat Math & Math Geophys SB RAS Lavrentjeva Ave 6 Novosibirsk 630090 Russia Novosibirsk State Tech Univ Novosibirsk 630073 Russia Volgograd State Tech Univ Volgograd 400005 Russia

ISBN: (纸本)9783319499567;9783319499550

the rapid growth of supercomputer technologies became a driver for the development of natural sciences. Most of the discoveries in astronomy, in physics of elementary particles, in the design of new materials in the DNA research are connected with numerical simulation and with supercomputers. Supercomputer simulation became an important tool for the processing of the great volume of the observation and experimental data accumulated by the mankind. Modern scientific challenges put the actuality of the works in computer systems and in the scientific software design to the highest level. the architecture of the future exascale systems is still being discussed. Nevertheless, it is necessary to develop the algorithms and software for such systems right now. It is necessary to develop software that is capable of using tens and hundreds of thousands of processors and of transmitting and storing of large volumes of data. In the present work the technology for the development of such algorithms and software is proposed. As an example of the use of the technology, the process of the software development is considered for some problems of astrophysics.

关键词： Exascale systems Co-design high performance computing Computational astrophysics Physics of plasmas

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First application of lattice QCD to Pezy-SC processor

First application of lattice QCD to Pezy-SC processor

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16th Annual International Conference on Computational Science (ICCS)

作者： Aoyama, Tatsumi Ishikawa, Ken-Ichi Kimura, Yasuyuki Matsufuru, Hideo Sato, Atsushi Suzuki, Tomohiro Torii, Sunao Nagoya Univ Kobayashi Maskawa Inst Origin Particles & Univers Nagoya Aichi Japan Hiroshima Univ Dept Phys Hiroshima Japan ExaScaler Inc Tokyo Japan High Energy Accelerator Res Org KEK Comp Res Ctr Tsukuba Ibaraki Japan Grad Univ Adv Studies Sokendai Hayama Kanagawa Japan PEZY Comp KK Tokyo Japan

Pezy-SC processor is a novel new architecture developed by Pezy computing K. K. that has achieved large computational power with low electric power consumption. It works as an accelerator device similarly to GPGRUs. A programming environment that resembles OpenCL is provided. Using, a hybrid parallel system "Suiren" installed at KEK, we port and tune a simulation code of lattice QCD, which is computational elementary particle physics based on Monte Carlo method. We of an iterative solver of a linear equation for a fermion matrix, which is in general the most time consuming part of the lattice QCD simulations. On single and multiple Pezy-SC devices, the sustained performance is measured for the matrix multiplications and a BiCGStab solver. We examine how the data layout affects the performance. the results demonstrate that the Pezy-SC processors provide a feasible environment to perform numerical lattice QCD simulations.

关键词： Pezy-SC Lattice gauge theory Accelerator OpenCL

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Genome-Wide Association Interaction Studies with MB-MDR and maxT multiple testing correction on FPGAs

Genome-Wide Association Interaction Studies with MB-MDR and ...

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16th Annual International Conference on Computational Science (ICCS)

作者： Gundlach, Sven Kaessens, Jan Christian Wienbrandt, Lars Univ Med Ctr Schleswig Holstein Inst Med Informat & Stat Campus Kiel Kiel Germany Christian Albrechts Univ Kiel Dept Comp Sci Kiel Germany

In the past few years massive amounts of data have been generated for genetic analysis. Existing solutions to analyze this data concerning genome-wide gene interactions are either not powerful enough or can barely be managed with standard computers due to the tremendous amount of statistical tests to be performed. Also, common approaches using cluster or cloud technologies for parallel analysis are operating at the edge of what is currently possible. this work demonstrates how FPGAs are able to address this problem. We present a highly parallel, hardware oriented solution for genome-wide association interaction studies (GWAIS) with MB-MDR and the maxi multiple testing correction on an FPGA-based architecture. We achieve a more than 300-fold speedup over an AMD Opteron cluster with 160 cores on an FPGA-system equipped with 128 Xilinx Spartan6 EX 150 low-cost FPGAs when analyzing a wTCCC-like dataset with 500,000 markers and 5,000 samples. Furthermore, we are able to keep pace with a 256 core Intel Xeon cluster running MB-MDR 4.2.2 with an approximative version of maxi, while. We achieve a 190-fold speedup over the sequential execution of this version on one Xeon core.

关键词： GWAIS epistasis SNPs Chi-squared test FPGA reconfigurable hardware high-performance computing bioinformatics

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Extremely scalable algorithm for 108-atom quantum material simulation on the full system of the K computer 7

Extremely scalable algorithm for 108-atom quantum material s...

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7th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, ScalA 2016

作者： Hoshi, Takeo Imachi, Hiroto Kumahata, Kiyoshi Terai, Masaaki Miyamoto, Kengo Minami, Kazuo Shoji, Fumiyoshi Department of Applied Mathematics and Physics Tottori University 4-101 Koyama-Minami Tottori Japan Operations and Computer Technologies Division RIKEN Advanced Institute for Computational Science 7-1-26 Minatojima-minami-machi Chuo-kuKobe Japan

ISBN: (纸本)9781509052226

An extremely scalable linear-algebraic algorithm was developed for quantum material simulation (electronic state calculation) with 108 atoms or 100-nm-scale materials. the mathematical foundation is generalized shifted linear equations ((zB - A)x = b), instead of conventional generalized eigenvalue equations. the method has a highly parallelizable mathematical structure. the benchmark shows an extreme strong scaling and a qualified time-to-solution on the full system of the K computer. the method was demonstrated in a real material research for ultra-flexible (organic) devices, key devices of next-generation Internet-of-things (IoT) products. the present paper shows that an innovative scalable algorithm for a real research can appear by the co-design among application, algorithm and architecture. © 2016 IEEE.

关键词： Quantum theory

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Parallel Pairwise Correlation Computation on Intel Xeon Phi Clusters

Parallel Pairwise Correlation Computation on Intel Xeon Phi ...

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International symposium on computer architecture and high performance computing (SBAC-PAD)

作者： Yongchao Liu Tony Pan Srinivas Aluru School of Computational Science & Engineering Georgia Institute of Technology Atlanta GA USA

ISBN: (纸本)9781509061099

Co-expression network is a critical technique for the identification of inter-gene interactions, which usually relies on all-pairs correlation (or similar measure) computation between gene expression profiles across multiple samples. Pearson's correlation coefficient (PCC) is one widely used technique for gene co-expression network construction. However, all-pairs PCC computation is computationally demanding for large numbers of gene expression profiles, thus motivating our acceleration of its execution using high-performance computing. In this paper, we present LightPCC, the first parallel and distributed all-pairs PCC computation on Intel Xeon Phi (Phi) clusters. It achieves high speed by exploring the SIMD-instruction-level and thread-level parallelism within Phis as well as accelerator-level parallelism among multiple Phis. To facilitate balanced workload distribution, we have proposed a general framework for symmetric all-pairs computation by building bijective functions between job identifier and coordinate space for the first time. We have evaluated LightPCC and compared it to two CPU-based counterparts: a sequential C++ implementation in ALGLIB and an implementation based on a parallel general matrix-matrix multiplication routine in Intel Math Kernel Library (MKL) (all use double precision), using a set of gene expression datasets. performance evaluation revealed that with one 5110P Phi and 16 Phis, LightPCC runs up to 20.6× and 218.2× faster than ALGLIB, and up to 6.8× and 71.4× faster than single-threaded MKL, respectively. In addition, LightPCC demonstrated good parallel scalability in terms of number of Phis. Source code of LightPCC is publicly available at http://***.

关键词： Acceleration Symmetric matrices Parallel processing computer architecture Gene expression Correlation Computational modeling

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Conceptual Design of 3-D FDTD Dedicated computer With Dataflow architecture for high performance Microwave Simulation

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IEEE TRANSACTIONS ON MAGNETICS 2015年第3期51卷 7202404-1-7202404-4页

作者： Kawaguchi, Hideki Matsuoka, Shun-Suke Muroran Inst Technol Div Informat & Elect Engn Muroran Hokkaido 0508585 Japan Asahikawa Natl Coll Technol Dept Mech Syst Engn Asahikawa Hokkaido 0718142 Japan

For practical use of microwave simulations in industry applications such as high frequency product design, this paper presents a conceptual design of 3-D finite difference time domain (FDTD) dedicated computer with dataflow architecture as one of the portable high performance computing technologies. A basic concept of the dataflow architecture for the FDTD dedicated computer itself was presented already in 2003 for 2-D microwave simulations. Detail design of 3-D FDTD dataflow machine is considered in this paper.

关键词： Dedicated computer finite difference time domain (FDTD) method FPGA high performance computation microwave simulation

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performance analyses of successive interference cancellation in vehicular network

Performance analyses of successive interference cancellation...

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International symposium on Communications and Information Technologies (ISCIT)

作者： Yang Liu Hang Liu Haihua Chen Network Information Center Shaanxi Normal University Xi'an China Institue of Computing technology Chinese Academy of Science Beijing China College of Computer and Communication Engineering China University of Petroleum Qingdao China

ISBN: (纸本)9781509041008

Targeting to reduce the traffic accident and improve the traffic efficiency, vehicular network is designed to do message exchange via vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communications. For V2V communications, orthogonal resources (i.e., time slot) are usually allocated for every vehicle to avoid collisions in V2V communications, which needs complex signaling between vehicles and Base Station (BS), and thus it is not suitable for high mobility vehicular environment. Concerning the powerful computing capability of vehicles, this paper proposes a random resource selection scheme with successive interference cancellation receiving and the performance is fully investigated by stochastic geometry theory. the analytical results are verified by numerical computation and simulations. It is shown that the packet delivery ratio with proposed scheme is very close to that with orthogonal resource allocation scheme.

关键词： Vehicles Interference Long Term Evolution Resource management Silicon carbide Vehicular ad hoc networks Receivers

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