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processing Big Data Graphs on Memory-Restricted Systems 14

Processing Big Data Graphs on Memory-Restricted Systems

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23rd international conference on parallel Architectures and Compilation techniques (PACT)

作者： Harshvardhan Amato, Nancy M. Rauchwerger, Lawrence Texas A&M Univ Dept Comp Sci & Engn Parasol Lab College Stn TX 77843 USA

ISBN: (纸本)9781450328098

With the advent of big-data, processing large graphs quickly has become increasingly important. Most existing approaches either utilize in-memory processing techniques, which can only process graphs that fit completely in RAM, or diskbased techniques that sacrifice performance. Contribution. In this work, we propose a novel RAM-Disk hybrid approach to graph processing that can scale well from a single shared-memory node to large distributed-memory systems. It works by partitioning the graph into subgraphs that fit in RAM and uses a paging-like technique to load subgraphs. We show that without modifying the algorithms, this approach can scale from small memory-constrained systems (such as tablets) to large-scale distributed machines with 16, 000+ cores.

关键词： parallel Graph processing Out-of-Core Graph Algorithms Graph Analytics Big Data distributed Computing

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Fault-tolerant Routing in (n, k)-Star Graphs 15

Fault-tolerant Routing in (<i>n</i>, <i>k</i>)-Star Graphs

引用

15th international conference on parallel and distributed Computing, applications and Technologies (PDCAT)

作者： Ito, Takara Myojin, Manabu Hirai, Yuki Kaneko, Keiichi Tokyo Univ Agr & Technol Grad Sch Engn Nakacho 2-24-16 Koganei Tokyo 1848588 Japan

ISBN: (纸本)9781479983346

An (n, k)-star graph S-n,S- k is a promising topology for interconnection networks of parallel processing systems because it inherits the merits of a star graph while providing various network sizes. In this study, we propose a fault-tolerant routing algorithm that establishes a fault-free path between any pair of non-faulty nodes in an S-n,S- k with faulty nodes by using limited global information called safety vectors. In addition, we carried out a computer experiment to verify its effectiveness.

关键词： Interconnection networks Fault tolerance Tin parallel processing systems stars Network routing fault-free Line graph Ganglia Pairing

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Analytic Clock Frequency Selection for Global DVFS

Analytic Clock Frequency Selection for Global DVFS

引用

22nd Euromicro international conference on parallel, distributed, and Network-Based processing (PDP)

作者： Gerards, Marco E. T. Hurink, Johann L. Holzenspies, Philip K. F. Kuper, Jan Smit, Gerard J. M. Univ Twente Dept EEMCS NL-7500 AE Enschede Netherlands

ISBN: (纸本)9781479927289

Computers can reduce their power consumption by decreasing their speed using Dynamic Voltage and Frequency Scaling (DVFS). A form of DVFS for multicore processors is global DVFS, where the voltage and clock frequency is shared among all processor cores. Because global DVFS is efficient and cheap to implement, it is used in modern multicore processors like the IBM Power 7, ARM Cortex A9 and NVIDIA Tegra 2. This theory oriented paper discusses energy optimal DVFS algorithms for such processors. There are no known provably optimal algorithms that minimize the energy consumption of nontrivial real-time applications on a global DVFS system. Such algorithms only exist for single core systems, or for simpler application models. While many DVFS algorithms focus on tasks, this theoretical study is conceptually different and focuses on the amount of parallelism. We provide a transformation from a multicore problem to a single core problem, by using the amount of parallelism of an application. Then existing single core algorithms can be used to find the optimal solution. Furthermore, we extend an existing single core algorithm such that it takes static power into account.

关键词： Dynamic voltage and frequency scaling energy minimization mathematical programming parallel processing

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Multi-job Meta-Brokering in distributed Computing Infrastructures using Pliant Logic

Multi-job Meta-Brokering in Distributed Computing Infrastruc...

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22nd Euromicro international conference on parallel, distributed, and Network-Based processing (PDP)

作者： Kertesz, Attila Maros, Gergo Dombi, Jozsef Daniel MTA SZTAKI Inst Comp Sci & Control H-1317 Budapest Hungary Univ Szeged Software Engn Dept H-6720 Szeged Hungary

ISBN: (纸本)9781479927289

The ever growing number of computation-intensive applications calls for the interoperation of distributed infrastructures such as Clouds, Grids and private clusters. The European SHIWA and ER-flow projects have been initiated to enable the combination of heterogeneous scientific work-flows, and to execute them in a large-scale system consisting of multiple distributed Computing Infrastructures including Grids and Clouds. In this paper we focus on one of the resource management challenges of these projects called multi-job scheduling. A parameter study job of a work-flow having a large number of input files to be consumed by independent job instances is called a multi-job. In order to cope with the high uncertainty and unpredictable load of these infrastructures and with the simultaneous submissions of multi-job instances, we use statistical historical job allocation data gathered from real-world workflow archives and propose an adaptive meta-brokering approach for the management of this unified system based on the Pliant logic concept, which is a specific part of fuzzy logic theory. We argue that this novel scheduling technique produce better performance scores, hence the overall load of the system can be more balanced.

关键词： Meta-brokering Interoperability distributed infrastructures Workflows Pliant system

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Fault-Tolerant Routing based on Improved Safety Levels in Pancake Graphs 15

Fault-Tolerant Routing based on Improved Safety Levels in Pa...

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15th international conference on parallel and distributed Computing, applications and Technologies (PDCAT)

作者： Nishiyama, Yo Hirai, Yuki Kaneko, Keiichi Tokyo Univ Agr & Technol Grad Sch Engn Dept Comp & Informat Sci Koganei Tokyo 1848588 Japan

ISBN: (纸本)9781479983346

In a parallel processing system, a pancake graph is one of the superior topologies for interconnection network because of the small diameter and the high degree. In previous research, fault-tolerant routing using restricted global information called safety levels in a pancake graph was proposed. But there are some rooms for improvement. Therefore, we propose a fault-tolerant routing algorithm based on improved safety levels to attain higher reachability. In addition, we estimated the proposed method in time and space complexities, and carried out a computer experiment to verify its effectiveness.

关键词： multicomputer interconnection network parallel proccessing

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Towards high-level parallel patterns in OpenCL 15

Towards high-level parallel patterns in OpenCL

引用

15th international conference on parallel and distributed Computing, applications and Technologies (PDCAT)

作者： Dokulil, Jiri Benkner, Siegfried Univ Vienna Res Grp Sci Comp A-1010 Vienna Austria

ISBN: (纸本)9781479983346

parallel pattern libraries (e.g., Intel TBB) are popular and useful tools for developing applications in SMP environments at a higher level of abstraction. Such libraries execute user-provided code efficiently on shared memory parallel architectures in accordance with well-defined execution patterns like parallel for-loops or pipelines. For heterogeneous architectures comprised of CPUs and accelerators, OpenCL has gained a lot of momentum. Since accelerated architectures do not provide a shared memory, it is not possible to directly use the approach taken in pattern libraries for SMP systems for OpenCL as well. In this paper, we are exploring issues and opportunities encountered by attempts to provide such patterns in the context of OpenCL. Based on a set of experiments with a scientific application on diverse OpenCL devices, we point out major pitfalls and insights, and outline directions for further efforts in developing pattern libraries for OpenCL.

关键词： OpenCL parallel patterns parallel mode shared memory Libraries switched mode power supplies parallel Lines parallel architectures central processing units level of abstraction ARCHITECTURE pipeline

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Towards a Formal Approach to Mobile Cloud Computing

Towards a Formal Approach to Mobile Cloud Computing

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22nd Euromicro international conference on parallel, distributed, and Network-Based processing (PDP)

作者： Amoretti, Michele Grazioli, Alessandro Zanichelli, Francesco Senni, Valerio Tiezzi, Francesco Univ Parma SITEIA PARMA I-43100 Parma Italy Univ Parma Dept Informat Engn I-43100 Parma Italy IMT Adv Studies Lucca Lucca Italy

ISBN: (纸本)9781479927289

Mobile cloud computing (MCC) is an emerging paradigm to transparently provide support for demanding tasks on resource-constrained mobile devices by relying on the integration with remote cloud services. Research in this field is tackling the multiple conceptual and technical challenges (e.g., how and when to offload) that are hindering the full realization of MCC. The NAM framework is a general tool to describe networks of hardware and software autonomic entities, providing or consuming services or resources, that can be applied to MCC scenarios. In this paper, we focus on NAM's features related to the key aspects of MCC, in particular those concerning code mobility capabilities and autonomic offloading strategies. Our first contribution is the definition of a restricted set of mobility actions supporting MCC. The second contribution is a formal semantics for those actions, which allows us to better understand the behavior of MCC systems and paves the way for the application of formal reasoning techniques. As an outcome, we also derive a more precise formalization of the core NAM features, which may contribute to further development of that framework and the related middleware.

关键词： cloud computing mobile computing software fault tolerance MCC NAM framework autonomic offloading strategy code mobility capability formal approach formal reasoning techniques formal semantics middleware mobile cloud computing networked autonomic machine framework remote cloud services resource-constrained mobile devices software autonomic entity Batteries Frequency modulation Middleware Mobile communication Mobile handsets Monitoring Semantics

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Central and distributed GPU Based parallel Disk Systems for Data Intensive applications

Central and Distributed GPU Based Parallel Disk Systems for ...

引用

11th international conference on Mobile Systems and Pervasive Computing (MobiSPC)

作者： Nijim, Mais Saha, Soumya Nijim, Yousef Texas A&M Univ Kingsville TX 78363 USA

parallel disk systems are capable of fulfilling rapidly increasing demands on both large storage capacity and high I/O performance. However, it is challenging to significantly increase disk I/O bandwidth for data-intensive workloads due to (1) reliability and instant processing of data requests under dynamic workload conditions, and (2) the optimum tradeoff between system scalability and data reliability in data-intensive systems. To increase computing performance and reduce power consumption, Graphics processing Units (GPUs) will be used. As the architectures and data processing algorithms for GPU-based parallel disk systems are still in their infancy, this research will develop novel hardware and software architectures that include parallel GPU, flash disks, and disk arrays for data-intensive applications. (c) 2014 Published by Elsevier B.V.

关键词： GPU Flash disks parallel Disk systems

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Dynamic task-scheduling based parallel processing on watershed distributed eco-hydrological model

Dynamic task-scheduling based parallel processing on watersh...

引用

international conference on Mechatronics Engineering and Computing Technology (ICMECT)

作者： Li Yao Jiang Dalin Beijing Univ Technol Coll Elect Informat & Control Engn Beijing 100124 Peoples R China

ISBN: (纸本)9783038351153

Watershed distributed eco-hydrological model is an important tool in the field of global change research. Due to the complexity of eco-hydrological model, watershed distributed eco-hydrological simulation requires large amounts of computations. The compution overhead turns to be a big prolem for those basin areas. Another challenge is that the traditional sequential computation techniques cannot meet the requirements of watershed eco-hydrological model, which highly limits the application of watershed distributed eco-hydrological model in large scale areas. This paper proposed a dynamic task-scheduling based parallel processing method for eco-hydrological model. The whole simulation task are firstly decoupled into independent grid based parallel processing tasks based on the relation of upstream and downstream sequence. Then a dynamic task-tree was built up according to the dependency of each cell in the watershed, which can generate dynamic task scheduling sequence. Following the task scheduling sequence, PBS task scheduler submitted workloads, realizing parallel calculation. This approach was applied in the watershed of Walnut Gulch watershed in Arizona, USA. The result showed that this method can highly improves the efficiency of watershed eco-hydrological modeling almost 6 times compared to that of the traditional sequential eco-hydrological modeling. Therefore, this approach can effectively promote the applications of watershed eco-hydrological model.

关键词： Watershed eco-hydrological model Dynamic task-scheduling parallel processing

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EFFICIENT parallel processing BY IMPROVED CPU-GPU INTERACTION

EFFICIENT PARALLEL PROCESSING BY IMPROVED CPU-GPU INTERACTIO...

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international conference on Issues and Challenges in Intelligent Computing techniques (ICICT)

作者： Khatter, Harsh Aggarwal, Vaishali ABES Engn Coll Dept Comp Sci & Engn Ghaziabad India KIET Dept Comp Sci & Engn Ghaziabad India

ISBN: (纸本)9781479928996

In this digital world, more than 90% of desktop and notebook computers have integrated Graphics processing Units i.e. GPU's, for better graphics processing. Graphics processing Unit is not only for graphics applications, even for nongraphics applications too. In the past few years, the graphics programmable processor has evolved into an increasingly convincing computational resource. But GPU sits idle if graphics job queue is empty, which decreases the GPU's efficiency. This paper focuses on various tact to overcome this problem and to make the CPU-GPU processing more powerful and efficient. The graphics programmable processor or Graphics processing unit is especially well suited to address problem sets expressed as data parallel computation with the same program executed on many data elements concurrently. The objective of this paper is to increase the capabilities and flexibility of recent GPU hardware combined with high level GPU programming languages: to accelerate the building of images in a frame buffer intended for output to a display, and, to provide tremendous acceleration for numerically intensive scientific applications. This paper also gives some light on major applicative areas where GPU is in use and where GPU can be used in future.

关键词： computer graphics graphics processing units parallel processing CPU-GPU interaction computational resource data parallel computation graphics job queue graphics programmable processor integrated graphics processing units parallel processing scientific applications Acceleration Bandwidth Electroencephalography Graphics processing units Irrigation Streaming media

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