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DryadOpt: Branch-and-bound on distributed data-parallel execution engines

DryadOpt: Branch-and-bound on distributed data-parallel exec...

引用

25th ieee International parallel and distributed processing symposium, IPDPS 2011

作者： Budiu, Mihai Delling, Daniel Werneck, Renato F. Microsoft Research Silicon Valley Mountain View CA United States

ISBN: (纸本)9780769543857

We introduce Dryad Opt, a library that enables massively parallel and distributed execution of optimization algorithms for solving hard problems. Dryad Opt performs an exhaustive search of the solution space using branch-and-bound, by recursively splitting the original problem into many simpler sub problems. It uses both parallelism (at the core level) and distributed execution (at the machine level). Dryad Opt provides a simple yet powerful interface to its users, who only need to implement sequential code to process individual sub problems (either by solving them in full or generating new sub problems). The parallelism and distribution are handled automatically by Dryad Opt, and are invisible to the user. The distinctive feature of our system is that it is implemented on top of Dryad LINQ, a distributed data-parallel execution engine similar to Hadoop and Map-Reduce. Despite the fact that these engines offer a constrained application model, with restricted communication patterns, our experiments show that careful design choices allow Dryad Opt to scale linearly with the number of machines, with very little overhead. © 2011 ieee.

关键词： Combinatorial optimization

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A parallel 3D Delaunay triangulation method

A parallel 3D Delaunay triangulation method

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9th ieee International symposium on parallel and distributed processing with Applications, ISPA 2011

作者： Chen, Min-Bin Department of Computer Science and Information Engineering China University of Technology Hsing-Lung Rd. Taipei 116 Taiwan

ISBN: (纸本)9780769544281

Delaunay triangulation is a common mesh generation method in scientific computation. This parallel 3D Delaunay triangulation method uses domain-decomposition approach. With the properties of Delaunay triangulation, this method devise algorithm when merge block triangulations. To reduce the communications between processors, it finds the 3D affected zone that may be modified during the merge of two sub-block triangulations. The merging triangulation can be generated with the search just on the boundary of block triangulations. © 2011 ieee.

关键词： Mesh generation

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Computing strongly connected components in parallel on CUDA

Computing strongly connected components in parallel on CUDA

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25th ieee International parallel and distributed processing symposium, IPDPS 2011

作者： Barnat, Jiří Bauch, Petr Brim, Luboš Češka, Milan Faculty of Informatics Masaryk University Botanická 68a 60200 Brno Czech Republic

ISBN: (纸本)9780769543857

The problem of decomposing a directed graph into its strongly connected components is a fundamental graph problem inherently present in many scientific and commercial applications. In this paper we show how some of the existing parallel algorithms can be reformulated in order to be accelerated by NVIDIA CUDA technology. In particular, we design a new CUDA-aware procedure for pivot selection and we adapt selected parallel algorithms for CUDA accelerated computation. We also experimentally demonstrate that with a single GTX 480 GPU card we can easily outperform the optimal serial CPU implementation by an order of magnitude in most cases, 40 times on some sufficiently big instances. This is an interesting result as unlike the serial CPU case, the asymptotic complexity of the parallel algorithms is not optimal. © 2011 ieee.

关键词： parallel algorithms

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parallel aggregation queries over star schema: A hierarchical encoding scheme and efficient percentile computing as a case

Parallel aggregation queries over star schema: A hierarchica...

引用

9th ieee International symposium on parallel and distributed processing with Applications, ISPA 2011

作者： Qin, Xiongpai Wang, Huiju Du, Xiaoyong Wang, Shan School of Information Renmin University of China Beijing 100872 China Beijing 100872 China

ISBN: (纸本)9780769544281

Big data analysis is a main challenge we meet recently. Cloud computing is attracting more and more big data analysis applications, due to its well scalability and fault-tolerance. Some aggregation functions, like SUM, can be computed in parallel, because they satisfy distributive law of addition. Unfortunately, some of statistical functions are not naturally parallelizable. That means they do not satisfy distributive law of addition. In this paper, we focus on percentile computing problem. We proposed an iterative-style prediction-based parallel algorithm in a distributed system. Prediction is done through a sampling technique. Experiment results verify the efficiency of our algorithm. © 2011 ieee.

关键词： Big data

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Overlapping computation and communication for advection on hybrid parallel computers

Overlapping computation and communication for advection on h...

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25th ieee International parallel and distributed processing symposium, IPDPS 2011

作者： White III, J.B. Dongarra, J.J. Climate and Global Dynamics National Center for Atmospheric Research Boulder CO United States Department of Electrical Engineering and Computer Science University of Tennessee Knoxville TN United States

ISBN: (纸本)9780769543857

We describe computational experiments exploring the performance improvements from overlapping computation and communication on hybrid parallel computers. Our test case is explicit time integration of linear advection with constant uniform velocity in a three-dimensional periodic domain. The test systems include a Cray XT5, a Cray XE6, and two multicore Infiniband clusters with different generations of NVIDIA graphics processing units (GPUs). We describe results for Fortran implementations using various combinations of MPI, OpenMP, and CUDA, with and without overlap of computation and communication. We find that overlapping CPU computation, GPU computation, parallel communication, and CPU-GPU communication can provide performance improvements of more than a factor of two. © 2011 ieee.

关键词： Graphics processing unit

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New parallel prefix algorithm for multicomputers

New parallel prefix algorithm for multicomputers

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9th ieee International symposium on parallel and distributed processing with Applications, ISPA 2011

作者： Lin, Yen-Chun Ko, Chun-Yu Department of Computer Science and Information Engineering Chang Jung Christian University Taiwan Department of Computer Science and Information Engineering National Taiwan University of Science and Technology Taiwan

ISBN: (纸本)9780769544281

A new computation-efficient parallel prefix algorithm for message-passing multicomputers is presented. The algorithm uses only half-duplex communications. It provides the flexibility of choosing parameter values for either fewer computation time steps or fewer communication time steps to achieve the minimal running time based on the ratio of the time required by a communication step to the time required by a computation step. Thus, under certain conditions, the new algorithm can run faster than previous ones for the same multicomputer model. © 2011 ieee.

关键词： Message passing

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PATUS: A code generation and autotuning framework for parallel iterative stencil computations on modern microarchitectures

PATUS: A code generation and autotuning framework for parall...

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25th ieee International parallel and distributed processing symposium, IPDPS 2011

作者： Christen, Matthias Schenk, Olaf Burkhart, Helmar Department of Mathematics and Computer Science University of Basel Switzerland

ISBN: (纸本)9780769543857

Stencil calculations comprise an important class of kernels in many scientific computing applications ranging from simple PDE solvers to constituent kernels in multigrid methods as well as image processing applications. In such types of solvers, stencil kernels are often the dominant part of the computation, and an efficient parallel implementation of the kernel is therefore crucial in order to reduce the time to solution. However, in the current complex hardware micro architectures, meticulous architecture-specific tuning is required to elicit the machine's full compute power. We present a code generation and auto-tuning framework Patus for stencil computations targeted at multi- and many core processors, such as multicore CPUs and graphics processing units, which makes it possible to generate compute kernels from a specification of the stencil operation and a parallelization and optimization strategy, and leverages the auto tuning methodology to optimize strategy-dependent parameters for the given hardware architecture. © 2011 ieee.

关键词： Program processors

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parallel integral image generation algorithm on multi-core system

Parallel integral image generation algorithm on multi-core s...

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9th ieee International symposium on parallel and distributed processing with Applications, ISPA 2011

作者： Wu, Yi-Ta Wu, Yih-Tyng Cho, Chao-Yi Tseng, Shau-Yin Liu, Chun-Nan King, Chung-Ta D300 Information and Communications Research Laboratories ICL Industrial Technology Research Institute ITRI Taiwan Investigation Bureau Ministry of Justice Taiwan Department of Computer Science National Tsing Hua University Hsinchu Taiwan

ISBN: (纸本)9780769544281

Integral image becomes a very useful tool in most of the computer vision applications in recent years, and the parallelization strategy is the most popular approach for efficiently generating the integral image. However, most of current parallel integral image generation algorithms are developed based on the dedicated hardware architecture. In this paper, we developed a parallel integral image generation algorithm on Tile64 which is a MIMD-based embedded system. It can be found that our parallel integral image generation algorithm achieved 7.66 times more efficient than the original sequential integral image generation. © 2011 ieee.

关键词： Image processing

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Redesign of higher-level matrix algorithms for multicore and distributed architectures and applications in quantum Monte Carlo simulation

Redesign of higher-level matrix algorithms for multicore and...

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25th ieee International parallel and distributed processing symposium, IPDPS 2011

作者： Lee, Che-Rung Bai, Zhaojun Department of Computer Science National TsingHua University Hsinchu 30013 Taiwan Department of Computer Science University of California Davis CA 95616 United States

ISBN: (纸本)9780769543857

A matrix operation is referred to as a hard-to-parallel matrix operation (HPMO) if it has serial bottlenecks that are hardly parallelizable. Otherwise, it is referred to as an easy-to-parallel matrix operation (EPMO). Empirical evidences showed the performance scalability of an HPMO is significantly poorer than an EPMO on multicore and distributed architectures. As the result, the design of higher-level algorithms for applications, for the performance considerations on multicore and distributed architectures, should avoid the use of HPMOs as the computational kernels. In this paper, as a case study, we present an HPMO-avoiding algorithm for the Green's function calculation in quantum Monte Carlo simulation. The original algorithm utilizes the QR-decomposition with column pivoting (QRP) as its computational kernel. QRP is an HPMO. The redesigned algorithm maintains the same simulation stability but employs the standard QR decomposition without pivoting (QR), which is an EPMO. Different implementations of the redesigned algorithm on multicore and distributed architectures are investigated. Although some implementations of the redesigned method use about a factor of three more floating-point operations than the original algorithm, they are about 20% faster on a quad core system and 2.5 times faster on a 1024-CPU massively parallel processing system. The broader impact of the redesign of higher-level matrix algorithms to avoid HPMOs in other computational science applications is also discussed. © 2011 ieee.

关键词： Monte Carlo methods

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A Scalable Architecture for Intrusion-Detection Systems Based on a Broadband Network of Embedded Set-Top Boxes

A Scalable Architecture for Intrusion-Detection Systems Base...

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54th ieee International Midwest symposium on Circuits and Systems (MWSCAS)

作者： Neill, Richard Carloni, Luca P. Columbia Univ Dept Comp Sci New York NY 10027 USA

ISBN: (纸本)9781612848570

As the processing power of set-top box (STB) devices continnes to grow with each new product generation and multiple service operators directly manage millions of these devices through a dedicated broadband network, we propose to harness this massive aggregate computational power to execute large-scale parallel applications. We present a prototype implementation of a heterogeneous distributed embedded system that combines a complete head-end cable system with a DOCSIS broadband network of STBs and an interoperable embedded implementation of Open MPI running on the STB operating system. We demonstrate the operations and performance of this system by reporting the experimental results that we obtained for the execution of various instances of Multiple Sequence Alignment, a parallel bioinformatics application. Based on these results we propose a new distributed embedded system architecture for highly-scalable intrusion-detection systems.

关键词： Broadband communication DOCSIS broadband network Frequency modulation Linux Radio frequency Servers Transform coding bioinformatics bioinformatics application computer networks dedicated broadband network embedded set-top boxes embedded systems head end cable system heterogeneous distributed embedded system intrusion detection systems large scale parallel applications massive aggregate computational power multiple sequence alignment scalable architecture security of data set-top boxes

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