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23rd Euromicro international conference on Parallel, distributed, and Network-Based Processing (PDP)

作者： Robertsen, Fredrik Westerholm, Jan Mattila, Keijo Abo Akad Univ Dept Informat Technol Turku Finland Univ Jyvaskyla Dept Phys Jyvaskyla Finland

ISBN: (纸本)9781479984909

The lattice Boltzmann method is a well-established numerical approach for complex fluid flow simulations. Recently general-purpose graphics processing units have become accessible as high-performance computing resources at large-scale. We report on implementing a lattice Boltzmann solver for multi-GPU systems that achieves 0.69 PFLOPS performance on 16384 GPUs. In addition to optimizing the data layout on the GPUs and eliminating the halo sites, we make use of the possibility to overlap data transfer between the host CPU and the device GPU with computing on the GPU. We simulate flow in porous media and measure both strong and weak scaling performance with the emphasis being on a large scale simulation using realistic input data.

关键词： Lattice Boltzmann GPU Titan asynchronous communication memory alignment

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A flexible and portable large-scale DGEMM library for Linpack on next-generation multi-GPU systems 23

A flexible and portable large-scale DGEMM library for Linpac...

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23rd Euromicro international conference on Parallel, distributed, and Network-Based Processing (PDP)

作者： Rohr, David Lindenstruth, Volker Frankfurt Inst Adv Studies Ruth Moufang Str 1 Frankfurt Germany

ISBN: (纸本)9781479984909

In recent years, high performance computing has benefitted greatly from special accelerator cards such as GPUs. Matrix multiplication performed by the BLAS function DGEMM is one of the prime examples where such accelerators excel. DGEMM is the computational hotspot of many tasks, among them the Linpack benchmark. Current GPUs achieve more than 1(TFlop)/s real performance in this task. Being connected via PCI Express, one can easily install multiple GPUs in a single compute node. This enables the construction of multi-(TFlop)/s systems out of off-the-shelf components. At such high performance, it is often complicated to feed the GPUs with sufficient data to run at full performance. In this paper we first analyze the scalability of our DGEMM implementation for multiple fast GPUs. Then we suggest a new scheme optimized for this situation and we present an implementation.

关键词： HPL Linpack DGEMM OpenCL CUDA BLAS GPU multi-GPU DMA Accelerators Scalability protocol control information HIGH-PERFORMANCE basic linear algebra subprograms task performance Matrix multiplication Libraries FLEXIBLE High Performance computing

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Revealing Potential Performance Improvements By Utilizing Hybrid Work-Sharing For Resource-Intensive Seismic Applications 23

Revealing Potential Performance Improvements By Utilizing Hy...

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23rd Euromicro international conference on Parallel, distributed, and Network-Based Processing (PDP)

作者： Siegl, Patrick Buchty, Rainer Berekovic, Mladen Tech Univ Carolo Wilhelmina Braunschweig Chair Chip Design Embedded Comp C3E Braunschweig Germany

ISBN: (纸本)9781479984909

Heterogeneous system architectures are becoming more and more of a commodity in the scientific community. While it remains challenging to fully exploit such architectures, the benefits in performance and hybrid speed-up, by using a host processor and accelerators in parallel in a non-monolithic matter, are significant. Hereby, the energy efficiency is becoming an increasingly critical challenge for future high-performance computing (HPC) systems, which do want to exceed the Exascale barrier with several competing architecture concepts ranging from high-performance CPUs, combined with GPUs acting as floating-point accelerators, to computationally weak CPUs, paired with dedicated and highly-performant FPGA-based accelerators. In this paper, we realize and evaluate a hybrid computing approach based on a two-dimensional seismic streaming algorithm with several heterogeneous system architectures, including conventional HPC approaches based on powerful CPUs and GPUs. Furthermore, we elaborate the effort on an embedded system platform claiming to be a "mini supercomputer" [1]. Several CPU and accelerator combinations are utilized in a manual work-sharing manner with the aim of achieving significant performance speed-ups and a detailed energy-efficiency study. Based on roofline models and experimental evaluations, the paper provides an insight into the fact that hybrid computing is mostly unconditionally beneficial for balanced systems regarding the performance as well as the energy efficiency, aiding the programmer in the decision whether or not costly, manually tuned, homogeneous implementations are worthwhile.

关键词： narrow stencil computing (embedded) hybrid work-sharing multi GPU processing performance evaluation

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A Performance Isolation Analysis of Disk-intensive Workloads on Container-based Clouds 23

A Performance Isolation Analysis of Disk-intensive Workloads...

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23rd Euromicro international conference on Parallel, distributed, and Network-Based Processing (PDP)

作者： Xavier, Miguel G. De Oliveira, Israel C. Rossi, Fabio D. Dos Passos, Robson D. Matteussi, Kassiano J. De Rose, Cesar A. F. Pontifical Catholic Univ Rio Grande Sul PUCRS Fac Informat Porto Alegre RS Brazil

ISBN: (纸本)9781479984909

The popularity of Cloud computing due to the increasing number of customers has led Cloud providers to adopt resource-sharing solutions to meet growing demand for infrastructure resources. As the adoption of resource-sharing/consolidation in Cloud computing became arguably a well-established solution, the ability the underlying virtualization systems of preventing performance interferences from customers must also be understood. Virtualization systems based on containers, such as LXC, are the basis of the next-generation of Cloud computing and have become the most popular solution under PaaS/ IaaS Cloud platforms with the rise of Docker-an open platform for developers and sysadmins to build, ship, and run distributed applications. Such platforms have enticed many attentions globally, since they leverage container-based virtualization systems to offer high scalability while low performance overheads;the performance might be solely aggravated if the customers' workloads are consolidated onto the same hardware and the isolation layer does not properly isolate the shared resources. Performance isolation is an inherent concern of such systems due to the nature as they are conceived and is still an unexplored and open research topic;the consequences might influence in the adoption under shared Cloud computing platforms where Quality-of-Service is a crucial factor that cannot be disregarded. In this paper we analyze the performance interference suffered by disk-intensive workloads within very noisy-perturbed containers (different hardware components stressed). Our results show workload combinations whose performance degradation goes up to 38%, but in contrast we expose a workload-balanced scenario wherein the performance does not suffer any interference.

关键词： container-based virtualization Cloud computing performance isolation disk-intensive workload

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Guest Editorial: Cooperative Information systems in the Digital Age

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international Journal of Cooperative Information systems 2016年第4期25卷

作者： Rosemann, Michael School of Information Systems Faculty of Science and Engineering Queensland University of Technology Science and Engineering Centre Brisbane QLD Australia

Cooperative information systems (CIS) are at the core of a digital economy that is dedicated to providing hyper-connected citizens with access to intuitive and sophisticated technology. No longer are commercial applications the only driver of development activities, but wider societal and individual deployment areas are now explored. CIS researchers have for more than two decades studied the nature and requirements of cooperative systems linking latest technologies with hybrid user bases. However, the current opportunity-rich landscape of digital technologies such as mobile and social computing, advanced data analytics, robotic process automation or smart devices has triggered entire new, exciting research questions. In light of this setting, the 23rd international conference on Cooperative Information systems took place within the context of the 14th OnTheMove Federated conferences and workshops in Rhodes, Greece, in October 2015. This Special Issue features the carefully selected and comprehensively reviewed best papers from this event. © 2016 World Scientific Publishing Company.

关键词： Cooperative information systems democratized information systems digital economy

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distributed Processing Applications for UAV/drones: A Survey

Distributed Processing Applications for UAV/drones: A Survey

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23rd international conference on systems Engineering

作者： Chmaj, Grzegorz Selvaraj, Henry Univ Nevada Las Vegas NV 89154 USA Univ Nevada Dept Elect & Comp Engn Las Vegas NV 89154 USA

ISBN: (纸本)9783319084213

distributed Processing systems are the ones that include multiple devices (which could be of many types, such as PC computers, mobile devices etc.) that have computational and communication capabilities. Their computational power is jointly used for collaborative processing of variety of tasks - and this processing is realized in distributed manner. UAV - Unmanned Aerial Vehicles (also called drones) gain significant attention over recent years. They have been employed to realize multiple tasks such as surveillance or environmental monitoring. First implementations were based on single UAV, later the potential of multiple UAVs collaborating in a team was noticed. Many applications were implemented in distributed manner, using multiple collaborative UAVs and the distributed processing systems principles. In this paper we survey the applications implemented over cooperative teams of UAVs that operate as distributed processing systems. © Springer international Publishing Switzerland 2015.

关键词： applications collaborative cooperative distributed processing drones swarms UAV Unmanned Aerial Vehicle

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TFluxSCC: Exploiting Performance on Future Many-core systems through Data-Flow 23

TFluxSCC: Exploiting Performance on Future Many-core Systems...

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23rd Euromicro international conference on Parallel, distributed, and Network-Based Processing (PDP)

作者： Diavastos, Andreas Stylianou, Giannos Trancoso, Pedro Univ Cyprus Dept Comp Sci Nicosia Cyprus

ISBN: (纸本)9781479984909

The current trend in processor design is to increase the number of cores as to achieve a desired performance. While having a large number of cores on a chip seems to be feasible in terms of the hardware, the development of the software that is able to exploit that parallelism is one of the biggest challenges. In this paper we propose a Data-Flow based system that can be used to exploit the parallelism in large-scale many-core processors in an effective and efficient way. Our proposed system - TFluxSCC - is an extension of the TFlux Data-Driven Multithreading (DDM), which evolved to exploit the parallelism of the 48-core Intel Single-chip Cloud computing (SCC) processor. With TFluxSCC we achieve scalable performance using a global address space without the need of cache-coherency support. Our scalability study shows that application's performance can scale, with speedup results reaching up to 48x for 48 cores. The findings of this work provide insight towards what a Data-Flow implementation requires and what not from a many-core architecture in order to scale the performance.

关键词： dataflow many-cores programming model Data-Driven Multithreading

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A Monitoring System for Runtime Adaptations of Streaming Applications 23

A Monitoring System for Runtime Adaptations of Streaming App...

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23rd Euromicro international conference on Parallel, distributed, and Network-Based Processing (PDP)

作者： Selva, Manuel Morel, Lionel Marquet, Kevin Frenot, Stephane Bull Echirolles 1 Rue Prov F-38342 Echirolles France Univ Lyon Inria INSA Lyon CITI F-69621 Villeurbanne France

ISBN: (纸本)9781479984909

Streaming languages are adequate for expressing many applications quite naturally and have been proven to be a good approach for taking advantage of the intrinsic parallelism of modern CPU architectures. While numerous works focus on improving the throughput of streaming programs, we rather focus on satisfying quality-of-service requirements of streaming applications executed along-side non-streaming processes. We monitor synchronous dataflow (SDF) programs at runtime both at the application and system levels in order to identify violations of quality-of-service requirements. Our monitoring requires the programmer to provide the expected throughput of its application (e.g 25 frames per second for a video decoder), then takes full benefit from the compilation of the SDF graph to detect bottlenecks in this graph and identify causes among processor or memory overloading. It can then be used to perform dynamic adaptations of the applications in order to optimize the use of computing and memory resources.

关键词： Streaming Video Decoder Runtime Computer personnel Quality of service monitoring systems Traffic Bottlenecks Collected papers PROCESSOR CPU architecture

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Application-Agnostic Framework for Improving the Energy Efficiency of Multiple HPC Subsystems 23

Application-Agnostic Framework for Improving the Energy Effi...

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23rd Euromicro international conference on Parallel, distributed, and Network-Based Processing (PDP)

作者： Landry, Ghislain Chetsa, Tsafack Lefevre, Laurent Pierson, Jean-Marc Stolf, Patricia Da Costa, Georges Univ Lyon ENS Lyon INRIA LIP LabUMR CNRSENSUCB Lyon France Univ Toulouse IRIT UMR CNRS Toulouse France

ISBN: (纸本)9781479984909

The subsystems that compose a High Performance computing (HPC) platform (e.g. CPU, memory, storage and network) are often designed and configured to deliver exceptional performance to a wide range of workloads. As a result, a large part of the power that these subsystems consume is dissipated as heat even when executing workloads that do not require maximum performance. Attempts to tackle this problem include technologies whereby operating systems and applications can reconfigure subsystems dynamically, such as by using Dynamic Voltage and Frequency Scaling (DVFS) for CPUs, Low Power Idle (LPI) for network components, and variable disk spinning for HDDs. Most previous work has explored these technologies individually to optimise workload execution and reduce energy consumption. We propose a framework that performs on-line analysis of an HPC system in order to identify application execution patterns without a priori information of their workload. The framework takes advantage of reoccurring patterns to reconfigure multiple subsystems dynamically and reduce overall energy consumption. Performance evaluation was carried out on Grid'5000(1) considering both traditional HPC benchmarks and real-life applications.

关键词： Execution vector MREEF Phase detection phase characterization Phase detection SUB-SYSTEM Energy efficiency High Performance computing Workload analysis of flowline Network components Frameworks Operating systems

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Review and Refined Architectures for Monitoring, Information Exchange, and Control of Interconnected distributed Resources

Review and Refined Architectures for Monitoring, Information...

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23rd international conference on systems Engineering

作者： Kumar, Y. V. Pavan Ravikumar, Bhimasingu IITH Dept Elect Engn Hyderabad Andhra Pradesh India

ISBN: (纸本)9783319084213

The objective of this paper is to present the system topology and architecture for integrating the distributed resources (DR) in to the Electrical Power systems (EPS). DR includes Fuel Cells (FC), Photo Voltaics (PV), Wind Turbines (WT), Micro Turbines (MT), distributed Generators (DG) and as well as distributed energy storage systems. The general guidelines for monitoring and control of DR are developed by IEEE 1547.3™-2007. But, the data exchange between the DR controller and equipment or entities internal to the local EPS and many potential paths for data exchange among individual stakeholders are not addressed in the standard. Also, this does not establish requirements for interconnection, protection, safety, or local and area EPS operation functions. By keeping all these points in view, this paper proposes DR architectures based on IEEE 1547.3™-2007 and presented in a more lucid way to understand and appreciate the content. © Springer international Publishing Switzerland 2015.

关键词： and Control (MIC) distributed Resource (DR) Electrical Power System (EPS) Energy Management System (EMS) IEEE 1547.3™-2007 Information exchange Information Exchange Interface (IEI) Monitoring

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