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Targeting distributed systems in FastFlow

Targeting Distributed Systems in FastFlow

引用

18th international conference on Euro-Par parallel Processing

作者： Aldinucci, Marco Campa, Sonia Danelutto, Marco Kilpatrick, Peter Torquati, Massimo Univ Turin Dept Comp Sci I-10124 Turin Italy Univ Pisa Dept Comp Sci I-56100 Pisa Italy Queens Univ Belfast Dept Comp Sci Belfast BT7 1NN Antrim North Ireland

ISBN: (纸本)9783642369490

FastFlow is a structured parallel programming framework targeting shared memory multi-core architectures. In this paper we introduce a FastFlow extension aimed at supporting also a network of multi-core workstations. the extension supports the execution of FastFlow programs by coordinating-in a structured way-the fine grain parallel activities running on a single workstation. We discuss the design and the implementation of this extension presenting preliminary experimental results validating it on state-of-the-art networked multi-core nodes.

关键词： structured parallel programming multi-core fine grain

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Database systems for Advanced Applications - 18th international conference, DASFAA 2013, Proceedings

Database Systems for Advanced Applications - 18th Internatio...

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18th international conference on Database systems for Advanced Applications, DASFAA 2013

ISBN: (纸本)9783642374494

the proceedings contain 74 papers. the topics discussed include: similarity joins on item set collections using zero-suppressed binary decision diagrams;adaptive query scheduling in key-value data stores;near-optimal partial linear scan for nearest neighbor search in high-dimensional space;distributed ah-tree based index technology for multi-channel wireless data broadcast;beyond click graph: topic modeling for search engine query log analysis;shortest path computation over disk-resident large graphs based on extended bulk synchronous parallel methods;NameNode and DataNode coupling for a power-proportional Hadoop distributed file system;ServiceBase: a programming knowledge-base for service oriented development;a mechanism for stream program performance recovery in resource limited compute clusters;MUSTBLEND: blending visual multi-source twig query formulation and query processing in RDBMS;and content based retrieval for lunar exploration image databases.

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Database systems for Advanced Applications - 18th international conference, DASFAA 2013, Proceedings

Database Systems for Advanced Applications - 18th Internatio...

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18th international conference on Database systems for Advanced Applications, DASFAA 2013

ISBN: (纸本)9783642374869

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Design Methods and Applications for distributed Embedded systems: IFIP 18th World Computer Congress, TC10 Working conference on distributed and ... in Information and Communication Technology)

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2013年

作者： Bernd Kleinjohann Guang R Gao Hermann Kopetz Lisa Kleinjohann Achim Rettberg

ISBN: (纸本)9781475780123

the ever decreasing price/performance ratio of microcontrollers makes it economically attractive to replace more and more conventional mechanical or electronic control systems within many products by embedded real-time computer systems. An embedded real-time computer system is always part of a well-specified larger system, which we call an intelligent product. Although most intelligent products start out as stand-alone units, many of them are required to interact with other systems at a later stage. At present, many industries are in the middle of this transition from stand-alone products to networked embedded systems. this transition requires reflection and architecting: the complexity of the evolving distributed artifact can only be controlled if careful planning and principled design methods replace the ad-hoc engineering of the first version of many standalone embedded products. Design Methods and Applications for distributed Embedded systems documents recent approaches and results presented at the IFIP TC10 Working conference on distributed and parallel Embedded systems (DIPES 2004), which was held in August 2004 as a co-located conference of the 18th IFIP World Computer Congress in Toulouse, France, and sponsored by the international Federation for Information Processing (IFIP). the topics which have been chosen for this working conference are very timely: model-based design methods, design space exploration, design methodologies and user interfaces, networks and communication, scheduling and resource management, fault detection and fault tolerance, and verification and analysis. these topics are supplemented by several hardware and application oriented papers.

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Gargamel: boosting DBMS performance by parallelising write transactions

Gargamel: boosting DBMS performance by parallelising write t...

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IEEE 18th international conference on parallel and distributed systems (ICPADS)

作者： Cincilla, Pierpaolo Monnet, Sebastien Shapiro, Marc INRIA UPMC Paris France

ISBN: (纸本)9781467345651;9780769549033

parallel transactions in distributed DBs incur high overhead for concurrency control and aborts. We propose an alternative approach by pre-serializing possibly conflicting transactions, and parallelizing non-conflicting update transactions to different replicas. Our system provides strong transactional guarantees. In effect, Gargamel partitions the database dynamically according to the update workload. Each database replica runs sequentially, at full bandwidth;mutual synchronisation between replicas remains minimal. Our simulations show that Gargamel improves both response time and load by an order of magnitude when contention is high (highly loaded system with bounded resources), and that otherwise slow-down is negligible.

关键词： Cloud computing distributed DBMSes scheduling alghorithms

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Smart Replication for In-memory Computations

Smart Replication for In-memory Computations

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IEEE 18th international conference on parallel and distributed systems (ICPADS)

作者： Rehmann, Kim-thomas Beineke, Kevin Schoettner, Michael SAP AG Dietmar Hopp Allee 16 D-69190 Walldorf Germany Univ Dusseldorf Kinderklin Stoffwechsellab Inst fur Informatik D-40225 Dusseldorf Germany

ISBN: (纸本)9781467345651;9780769549033

Cloud computing enables diverse new application areas for distributed computing. Many upcoming cloud applications do not fit to simple programming models such as "embarrassing parallelism" but have complex data dependencies and require atomic operations spanning multiple objects. Some large-scale storage systems already implement atomic multi-object operations, but they do not address the complementary problem of efficiently propagating replica updates. In this paper, we present the design and implementation of a smart replication protocol in the ECRAM in-memory storage, which supports atomic multi-object operations. the performance analysis shows that the adaptive mechanism requires much less bandwidth, less memory, and results in improved application performance and responsiveness.

关键词： Consistency distributed transactional memory In-memory data management Replication Replication consistency Consistency (Measurement) data dependency Cache Memory System Cloud computing Surgery Atomicity Responsiveness atomic operation

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GPU Accelerated Molecular Docking with parallel Genetic Algorithm

GPU Accelerated Molecular Docking with Parallel Genetic Algo...

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IEEE 18th international conference on parallel and distributed systems (ICPADS)

作者： Ouyang, Xuchang Kwoh, Chee Keong Nanyang Technol Univ BioInformat Res Ctr Singapore 639798 Singapore

ISBN: (纸本)9781467345651

Molecular docking is a widely used tool in Computer-aided Drug Design and Discovery. Due to the complexity of simulating the chemical events when two molecules interact, highly accelerated molecular docking programs are of great interest and importance for practical use. In this paper, we present a GPU accelerated docking program implemented with CUDA. the hardware-enabled texture interpolation is employed for fast energy evaluation. Two types of parallel genetic algorithms are mapped to the CUDA computing architecture and used for the search of optimal docking result. Comparing to the CPU implementation, the GPU accelerated docking program achieved significant speedup while producing comparable results to the CPU version. the source code is made public at http://***/p/cudock/.

关键词： molecular docking cuda GPU genetic algorithm

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GPU parallel computing of Spherical Panorama Video Stitching

GPU Parallel Computing of Spherical Panorama Video Stitching

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IEEE 18th international conference on parallel and distributed systems (ICPADS)

作者： Liao, Wei-Sheng Hsieh, Tung-Ju Chang, Yang-Lang Natl Taipei Univ Technol Dept Comp Sci & Informat Engn Taipei Taiwan Natl Taipei Univ Technol Dept Elect Engn Taipei Taiwan

ISBN: (纸本)9781467345651;9780769549033

this paper presents a GPU-based spherical coordinate conversion system for panorama video image stitching. Modern programmable GPU makes it possible to process multiple images in an interactive frame rates. To perform image stitching to form a panorama view, we use OpenCL to stitch multiple images and then texture map it to a spherical object. this allows us to compose an immersive environment. In the case study presented in this paper, we achieve a speedup factor of 76x.

关键词： GPU OpenCL spherical panorama

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A parallel H.264 Encoder with CUDA: Mapping and Evaluation

A Parallel H.264 Encoder with CUDA: Mapping and Evaluation

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IEEE 18th international conference on parallel and distributed systems (ICPADS)

作者： Wu, Nan Wen, Mei Su, Huayou Ren, Ju Zhang, Chunyuan Natl Univ Def Technol Comp Sch Changsha Hunan Peoples R China

ISBN: (纸本)9781467345651

Efficient mapping of a real-time HD video application to graphics hardware is challenging. Developers face the challenges of choosing the right parallelism model, balancing thread's process granularity between massive computing resources on the GPU, and partitioning tasks between the CPU and GPU. the paper illustrated the mapping approaches by a case of HD H.264 encoderbased on X264 reference code and then evaluating it on state-of-the-art CPU and GPUs in depth. In the paper, we first split most of the computing task into Single-Instruction Multiple-thread (SIMT) kernels, which are then chained intocertaininput/output data stream. then we implementeda completedH.264 encoding on the computer unified device architecture (CUDA) platform. Finally, we present methods for exploiting multi-level parallelism and memory efficiency when mapping H.264 code, which we use to increase the efficiency of the execution on GPUs. Our experimental results show that computation efficiencyof GPU and then real-time encoding performance are achievedwith CUDA.

关键词： GPU Programming Video Processing parallel Algorithm Real Time Encode High-performance Media computing

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Design and Development of an Adaptive Workflow-Enabled Spatial-Temporal Analytics Framework

Design and Development of an Adaptive Workflow-Enabled Spati...

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IEEE 18th international conference on parallel and distributed systems (ICPADS)

作者： Li, Xiaorong Calheiros, Rodrigo N. Lu, Sifei Wang, Long Palit, Henry Zheng, Qin Buyya, Rajkumar A STAR Inst Inst High Performance Comp Singapore Singapore Univ Melbourne Dept Comp & Informat Syst Cloud Comp & Distributed Syst Lab Melbourne Vic Australia

ISBN: (纸本)9781467345651;9780769549033

Cloud computing is a suitable platform for execution of complex computational tasks and scientific simulations that are described in the form of workflows. Such applications are managed by Workflow Management System (WfMS). Because existing WfMSs are not able to autonomically provision resources to real-time applications and schedule them while supporting fault tolerance and data privacy, we present a highly-scalable workflow-enabled analytics system that manages inter-dependable analytics tasks adaptively with varying operational requirements on a common platform and enables visualization of multidimensional datasets of real world phenomena. In this paper, we present the architecture of such a WfMS and evaluate it in terms of performance for execution of workflows in Clouds. A real world application of climate-associated dengue fever prediction was evaluated on public, private, and hybrid Clouds and experienced effective speedup in all the environments.

关键词： cloud computing data privacy dynamic resource fault tolerance workflow

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