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Design space explorations for streaming accelerators using Streaming Architectural Simulator

Design space explorations for streaming accelerators using S...

引用

international Bhurban conference on Applied Sciences & Technology, IBCAST

作者： Muhammad Shafiq Miquel Pericàs Nacho Navarro Eduard Ayguadé Centre of Excellence in Science and Applied Technologies (CESAT) Islamabad Pakistan JST CREST Tokyo Institute of Technology Tokyo Japan Computer Sciences Barcelona Supercomputing Center Barcelona Spain

In the recent years streaming accelerators like GPUs have been pop-up as an effective step towards parallel computing. the wish-list for these devices span from having a support for thousands of small cores to a nature very close to the general purpose computing. this makes the design space very vast for the future accelerators containing thousands of parallel streaming cores. this complicates to exercise a right choice of the architectural configuration for the next generation devices. However, accurate design space exploration tools developed for the massively parallel architectures can ease this task. the main objectives of this work are twofold. (i) We present a complete environment of a trace driven simulator named SArcs (Streaming Architectural Simulator) for the streaming accelerators. (ii) We use our simulation tool-chain for the design space explorations of the GPU like streaming architectures. Our design space explorations for different architectural aspects of a GPU like device a e with reference to a base line established for NVIDIA's Fermi architecture (GPU Tesla C2050). the explored aspects include the performation effects by the variations in the configurations of Streaming Multiprocessors Global Memory Bandwidth, Channles between SMs down to Memory Hierarchy and Cache Hierarchy. the explorations are performed using application kernels from Vector Reduction, 2D-Convolution. Matrix-Matrix Multiplication and 3D-Stencil. Results show that the configurations of the computational resources for the current Fermi GPU device can deliver higher performance with further improvement in the global memory bandwidth for the same device.

关键词： Graphics processing units Optical character recognition software Instruction sets Space exploration

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the Rising Prospects of Cloud Robotic applications

The Rising Prospects of Cloud Robotic Applications

引用

IEEE international conference on Computational Cybernetics

作者： S. Jordán T. Haidegger L. Kovács I. Felde I. Rudas Budapest University of Technology and Economics (BME) óbuda University (óU)

ISBN: (纸本)9781479900626

Cloud Robotics is an emerging field within robotics, currently covering various application domains and robot network paradigms. this paper provides a structured, systematic overview of the numerous definitions, concepts and technologies linked to Cloud Robotics and cloud technologies in a broader sense. It also presents a roadmap for the near future, describing development trends and emerging application areas. Cloud Robotics may have a significant role in the future as an explicitly human-centered technology, capable of addressing the dire needs of our society.

关键词： cloud robotics distributed systems cloud computing networked robotics

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A parallel application programming and processing environment proposal for grid computing

A parallel application programming and processing environmen...

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15th IEEE international conference on Computational Science and Engineering (CSE) / 10th IEEE/IFIP international conference on Embedded and Ubiquitous computing (EUC)

作者： Gomes Junior, Augusto Mendes Sato, Liria Matsumoto Massetto, Francisco Isidro Anhembi Morumbi Univ Engn & Technol Sch Sao Paulo Brazil Univ Sao Paulo Dept Comp & Digital Syst Engn Sao Paulo Brazil Fed Univ ABC Dept Comp Sci Santo Andre Brazil

ISBN: (纸本)9781467351652;9780769549149

the execution of parallel applications, using grid computing, requires an environment that enables them to be executed, managed, scheduled and monitored. the execution environment must provide a processing model, consisting of programming and execution models, with the objective appropriately exploiting grid computing characteristics. this paper proposes a parallel processing model, based on shared variables for grid computing, consisting of an execution model that is appropriate for the grid and a CPAR parallel language programming model. the environment is designed to execute parallel applications in grid computing, where all the characteristics present in grid computing are transparent to users. the results show that this environment is an efficient solution for the execution of parallel applications.

关键词： distributed systems Grid computing High performance computing parallel programming language

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A CPU-GPGPU Scheduler Based On Data Transmission Bandwidth Of Workload

A CPU-GPGPU Scheduler Based On Data Transmission Bandwidth O...

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13th international conference on parallel and distributed computing, applications, and technologies (PDCAT)

作者： Huang, Wen Yu, Licheng Ye, Mingjiao Chen, Tianzhou Hu, Tongsen Zhejiang Univ Technol Coll Comp Sci Hangzhou Zhejiang Peoples R China Zhejiang Univ Coll Comp Sci Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9780769548791

With the continuous development of GPUs, modern general-purpose computation on GPUs (GPGPUs) is providing growing parallelism to general programs besides graphics applications. However, for those programs that involve both CPU and GPU, the data transmission bandwidth between them may become bottleneck that prevents GPU from fully exploiting its parallel computing capacity. As to avoid the defect, we try to reduce the data transmission by keeping part of the computation tasks on the CPU side other than sending all the data over to the GPU and process there. In this way the computation is done on CPU and GPU in parallel, and therefore also reduces overall process time. In order to split the computation workload in a systematic approach, we try to divide the corresponding data into chunks of proper size. We experimented our data dividing and heterogeneous memory scheduling with 2 benchmarks. the matrix multiplication is more than 30% faster, and the k - means2D is nearly 10% faster, than running solely in GPU.

关键词： Memory scheduling Data transmission Heterogeneous parallel computing GPGPU

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parallel FDTD Simulation of Photonic Crystals and thin-Film Solar Cells

Parallel FDTD Simulation of Photonic Crystals and Thin-Film ...

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13th international conference on parallel and distributed computing, applications, and technologies (PDCAT)

作者： Wang, Wu Chi, Xuebin Feng, Yangde Zhao, Yonghua Chinese Acad Sci Supercomp Ctr Comp Network Informat Ctr Beijing 100190 Peoples R China

ISBN: (纸本)9780769548791

Finite difference time domain (FDTD) method is a robust and accurate algorithm which is widely used in computational electromagnetic field and the simulation of optical phenomenon. In this paper, parallel FDTD based on overlapped domain decomposition is used to simulate the band gap of photonic crystals and the quantum efficiency of thin-film solar cells. the light-trapping effect is also analyzed by parallel FDTD, it's very important to improve light absorption. Numerical result demonstrates that the accuracy and the speedup of parallel FDTD are very high for large scale problem.

关键词： finite difference time domain method parallel photonic crystal thin-film solar cell quantum efficiency

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Design and Analysis of A Class of Simple Networks

Design and Analysis of A Class of Simple Networks

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13th international conference on parallel and distributed computing, applications, and technologies (PDCAT)

作者： Li, Tao Du, Huimin Zhang, Liguo Han, Jungang Xian Univ Posts & Telecom Sch Elect Engn Xian Peoples R China Xian Univ Posts & Telecom Sch Comp Sci Xian Peoples R China

ISBN: (纸本)9780769548791

A class of simple network topologies is proposed and analyzed in this paper as part of the research on a polymorphous array architecture for graphics and image processing. the topologies are extended from the mesh network topology and are amenable to VLSI implementation. Simulation and theoretical analyses show that these topologies have many advantages over the mesh and Xmesh topologies. Routing algorithms are also proposed and analyzed for these new network topologies.

关键词： Interconnection network topology mesh topology message passing parallel architecture number of edges diameter biesection width

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Layered Models for General parallel Computation Based on Heterogeneous System

Layered Models for General Parallel Computation Based on Het...

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13th international conference on parallel and distributed computing, applications, and technologies (PDCAT)

作者： Sheng, Yanxiu Gui, Lin Wei, Zhiqiang Duan, Jibing Liu, Yingying Ocean Univ China Coll Informat Sci & Engn Qingdao Shandong Peoples R China

ISBN: (纸本)9780769548791

the conventional unified parallel computation model becomes more and more complicated which has weak pertinence and little guidance for each parallel computing phase. therefore, a general layered and heterogeneous idea for parallel computation model research was proposed in this paper. the general layered heterogeneous parallel computation model was composed of parallel algorithm design model, parallel programming model, parallel execution model, and each model correspond to the three computing phases respectively. the properties of each model were described and research spots were also given. In parallel algorithm design model, an advanced language was designed for algorithm designers, and the corresponding interpretation system which based on text scanning was proposed to map the advanced language to machine language that runs on the heterogeneous software and hardware architectures. the parallel method library and parameter library were also provided to achieve the comprehensive utilization of the different computing resources and assign parallel tasks reasonably. theoretical analysis results show that the general layered heterogeneous parallel computation model is clear and single goaled for each parallel computing phase.

关键词： layered models heterogeneous system parallel algorithm design model interpretation system parallel programming model parallel execution model

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Scalable Solvers for 2D Time Domain Electromagnetic Simulations

Scalable Solvers for 2D Time Domain Electromagnetic Simulati...

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13th international conference on parallel and distributed computing, applications, and technologies (PDCAT)

作者： Zhufu, Xiaohe Zhao, Ruifeng Xu, Jin Chinese Acad Sci Inst Software Lab Parallel Software & Sci Comp Beijing Peoples R China

ISBN: (纸本)9780769548791

In this paper, scalable solver for time domain electromagnetic simulations will be stdudied. this solver is developed with discontinuous Galerkin (DG) method on unstructured mesh. High-order nodal basis, employing multivariate Lagrange polynomials defined on the triangles has been used to expand the electromagnetic fields. Both periodic and perfect electric conduct (PEC) conditions have been implemented. Domain decomposition has been used for the parallelization, and good scalability has been achieved due to the DG algorithm. Benchmarks for this solver on different supercomputers will be shown. At last, large simulations with 1024 processors will be shown.

关键词： High-order accuracy Maxwell's equations Discontinuous Galerkin method hp-Finite Element Nodal bases Unstructured Mesh

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First experimental assessments of the adaptivity of the scheduling with AS4DR

First experimental assessments of the adaptivity of the sche...

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13th international conference on parallel and distributed computing, applications, and technologies (PDCAT)

作者： Millot, Daniel Parrot, Christian Telecom SudParis Inst Mines Telecom Evry France

ISBN: (纸本)9780769548791

the AS4DR (Adaptive Scheduling for distributed Resources) scheduling method experimented in this paper aims at maximizing the CPU use efficiency when executing divisible load applications on heterogeneous distributed memory platforms. AS4DR adapts the scheduling to: the unawareness of the total workload, both the unspecification and the variation over time of the execution parameters (available communication speed, available computing speed, etc.). this paper presents the first experimental assessments of the adaptivity of the scheduling with this method.

关键词： parallel application multi-round divisible load scheduling heterogeneous platform adaptive scheduling unspecified distributed memory platform

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Fault Tolerant Implementation of Peer-to-Peer distributed Iterative Algorithms

Fault Tolerant Implementation of Peer-to-Peer Distributed It...

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15th IEEE international conference on Computational Science and Engineering (CSE) / 10th IEEE/IFIP international conference on Embedded and Ubiquitous computing (EUC)

作者： the Tung Nguyen El-Baz, Didier CNRS LAAS 7 Ave Colonel Roche F-31400 Toulouse France Univ Toulouse LAAS F-31400 Toulouse France

ISBN: (纸本)9781467351652;9780769549149

Fault tolerance issues related to the implementation of distributed iterative algorithms via the P2PDC peer-to-peer distributed computing environment are considered. P2PDC is a decentralized environment dedicated to task parallel applications. It has been designed more particularly for the solution of large scale numerical simulation problems via distributed iterative algorithms. the environment allows frequent and direct communications between peers i.e., machines. P2PDC is based on P2PSAP, a self-adaptive communication protocol. We present new functionalities of P2PDC aimed at making our environment more robust. An adaptive fault tolerance mechanism ensures the robustness of computation to cope with peer faults. We consider also fault tolerance from an algorithmic point of view: we concentrate in particular on distributed asynchronous iterative algorithms that can tolerate some message loss. A series of computational results is presented and analyzed for a numerical simulation problem.

关键词： distributed computing peer to peer computing fault tolerance task parallel model numerical simulation

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