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Quality-aware Directional MAC Protocol for Multi-channel Wireless Sensor Networks 15

Quality-aware Directional MAC Protocol for Multi-channel Wir...

引用

15th ieee international symposium on parallel and distributed processing with applications (ISPA) / 16th ieee international Conference on Ubiquitous Computing and Communications (IUCC)

作者： Nur, Fernaz Narin Sharmin, Selina Razzaque, Md Abdur Islam, Md Shariful Univ Dhaka Dept Comp Sci & Engn Green Networking Res Grp Dhaka 1000 Bangladesh Univ Dhaka Inst Informat Technol Dhaka 1000 Bangladesh

ISBN: (纸本)9781538637906

Synchronizing transmission and reception opportunities for different sender-receiver pairs and providing traffic priority aware access to different channels are challenging problems in Directional Sensor Networks (DSNs). We propose a quality-aware multi-channel medium access control protocol, Q-DMAC for DSNs that increases reusability of multi-channel resources using nodes with directional antennas. The Q-DMAC nodes gives high priority access to the medium for nodes having important data packets and allocate more slots in a data window for nodes having larger number of packets awaiting for transmission. Finally, the simulation results show that our proposed Q-DMAC results improved network performance in terms of throughput, end-to-end delay, network lifetime.

关键词： Receivers Media Access Protocol Schedules Synchronization Wireless sensor networks Delays

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Multi-core Portability Abstraction

Multi-core Portability Abstraction

引用

26th ieee international parallel and distributed processing symposium (IPDPS)

作者： Forsell, Martti Hiivala, Mikko VTT Tech Res Ctr Finland Platform Architectures Team FI-90571 Oulu Finland

ISBN: (纸本)9780769546766

Application portability between different multicore architecture-parallel programming paradigm/tool pairs is a big problem nowadays leading often to a complete rewrite of an application when switching from an architecture-paradigm pair to another. This is caused by a wide variety of architectural properties requiring different optimization techniques for different architectures, typically hiding the essence of (parallel) computation defined by the application. In this paper, we introduce the Multi-Core Portability Abstraction (MCPA) simplifying portability and implementation of parallel applications making use of shared memory. It abstracts away typical architecture dependent effects caused by latency, synchronization, and partitioning and acts as an executable intermediate abstraction/reference implementation as well as a tool for analyzing the intrinsic parallelism of the application and relative goodness of architectures in executing it. We give a short application example with performance measurements.

关键词： parallel computing multicore architectures model of computation parallel programming application portability

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SPHYNX: Spectral Partitioning for HYbrid aNd aXelerator-enabled systems 34

SPHYNX: Spectral Partitioning for HYbrid aNd aXelerator-enab...

引用

34th ieee international parallel and distributed processing symposium (IPDPS)

作者： Acer, Seher Boman, Erik G. Rajamanickam, Sivasankaran Sandia Natl Labs Ctr Comp Res POB 5800 Albuquerque NM 87185 USA

ISBN: (纸本)9781728174457

Graph partitioning has been an important tool to partition the work among several processors to minimize the communication cost and balance the workload. While accelerator-based supercomputers are emerging to be the standard, the use of graph partitioning becomes even more important as applications are rapidly moving to these architectures. However, there is no scalable, distributed-memory, multi-GPU graph partitioner available for applications. We developed a spectral graph partitioner, Sphynx, using the portable, accelerator-friendly stack of the Trilinos framework. We use Sphnyx to systematically evaluate the various algorithmic choices in spectral partitioning with a focus on GPU performance. We perform those evaluations on irregular graphs, because state-of-the-art partitioners have the most difficulty on them. We demonstrate that Sphynx is up to 17x faster on GPUs compared to the case on CPUs, and up to 580x faster compared to a state-of-the-art multilevel partitioner. Sphynx provides a robust alternative for applications looking for a GPU-based partitioner.

关键词： graph partitioning spectral partitioning GPUs distributed-memory systems

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Profiling HPC applications with Low Overhead and High Accuracy 19

Profiling HPC Applications with Low Overhead and High Accura...

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19th ieee international symposium on parallel and distributed processing with applications (ieee ISPA)

作者： Zhao, Jingyuan Liu, Xin Liu, Yao Jiao, Penglong Liu, Jinshuo Xue, Wei East China Normal Univ Sch Data Sci & Engn Shanghai Peoples R China Natl Res Ctr Parallel Comp Engn & Technol Beijing Peoples R China Wuhan Univ Sch Cyber Sci & Engn Wuhan Peoples R China East China Normal Univ Shanghai Key Lab Multidimens Informat Proc Shanghai Peoples R China Tsinghua Univ Dept Comp Sci & Technol Beijing Peoples R China

ISBN: (纸本)9781665435741

As the parallel scale of HPC applications represented by earth system models becomes larger and the computing cost becomes higher, the performance of HPC applications is increasingly critical. Profiling HPC applications accurately helps to model the applications and find the performance bottlenecks. However, due to the complexity of HPC applications, the diversity of programming languages, the differences of individual programming habits, and multiple architectures, accurate profiling becomes very tough. In this paper, we propose LPerf: a low-overhead and high-accuracy profiler for HPC applications. To reduce the profiling overhead and improve the profiling accuracy, we propose a preprocessing method which can automatically instrument with tunable granularity thus significantly reducing the run-time overhead of profiling, an aggregated caller-callee relationship which is used to locate relationship of functions efficiently, and a profiling-aware method which can precisely calculate running time of functions. The experimental results show that the error rate of profiling reaches 0.02%, and the overhead reaches 1.6%, in the earth system model named CAS-ESM. Compared with the baselines, the precision, accuracy, and overhead of LPerf have reached the state of the art.

关键词： LLVM instrumentation profiling performance modeling

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Rethinking Energy-Efficiency of Heterogeneous Computing for CNN-Based Mobile applications 15

Rethinking Energy-Efficiency of Heterogeneous Computing for ...

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15th ieee international symposium on parallel and distributed processing with applications (ISPA) / 16th ieee international Conference on Ubiquitous Computing and Communications (IUCC)

作者： Wang, Zhen Li, Xi Wang, Chao Cheng, Zhinan Song, Jiachen Zhou, Xuehai Univ Sci & Technol China Sch Comp Sci & Technol Hefei 230027 Anhui Peoples R China

ISBN: (纸本)9781538637906

Convolutional Neural Networks (CNNs) have become more and more powerful in the computer vision domain, as they achieve the state-of-the-art accuracy. Despite this, it is generally difficult to apply CNNs on mobile platforms. Client server paradigm is a straightforward way to deploy CNNs on mobile phones, but studies have shown that it suffers serious problems, such as privacy leaks. Recently, researchers focus on using heterogeneous local processors (e.g., GPUs, CPUs) to accelerate the inference of CNNs. Utilizing all local processors available can achieve the highest performance, but it might incur energy-inefficiency. Different from previous works, this paper concerns more about energy-efficiency of CNN based mobile applications. We present an adaptive strategy, which is able to compute the energy-efficiency of all local processors, and further to obtain the energy-efficient device processor combination to perform CNN inference in parallel. The strategy is implemented on ODROID platform, where the evaluation results show that our proposed approach provides 3.67 x higher energy-efficiency with only 9.7% performance degradation on average compared with the greedy strategy which tries to use all local processors available.

关键词： distributed processing Conferences Ubiquitous computing

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Efficient Task Assignment and Scheduling on MPSoC with STT-RAM based Hybrid SPMs Considering Data Allocation 15

Efficient Task Assignment and Scheduling on MPSoC with STT-R...

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15th ieee international symposium on parallel and distributed processing with applications (ISPA) / 16th ieee international Conference on Ubiquitous Computing and Communications (IUCC)

作者： Feng, Weiwei Gu, Shouzhen Yang, Yanqin Zhuge, Qingfeng Sha, Edwin H-M East China Normal Univ Shanghai Key Lab Trustworthy Comp Shanghai Peoples R China Chongqing Univ Coll Comp Sci Chongqing Peoples R China

ISBN: (纸本)9781538637906

Be aware enough of the fact that performance gap between CPU and memory, employing novel memory techniques in embedded systems is a feasible way to reduce the performance gap. For MPSoC which is equipped with SRAM and STT-RAM based hybrid SPMs, data can be effectively parallel accessed. This paper explores data allocation, task assignment and scheduling on MPSoC with SRAM and STT-RAM based hybrid SPMs. We proposed a mixed integer quadratically constrained program(MIQCP) formulations and a heuristic method (HA) to generates optimal and near optimal data allocation, task assignment, and scheduling solution. Experimental results show that MIQCP and HA can reduce 32.6% and 20.1% schedule length on average.

关键词： Task analysis Random access memory Resource management Schedules System-on-chip Computer architecture Clocks

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dOpenCL: Towards a Uniform Programming Approach for distributed Heterogeneous Multi-/Many-Core Systems

dOpenCL: Towards a Uniform Programming Approach for Distribu...

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26th ieee international parallel and distributed processing symposium (IPDPS) / Workshop on High Performance Data Intensive Computing

作者： Kegel, Philipp Steuwer, Michel Gorlatch, Sergei Univ Munster Dept Math & Comp Sci Munster Germany

ISBN: (纸本)9780769546766

Modern computer systems are becoming increasingly heterogeneous by comprising multi-core CPUs, GPUs, and other accelerators. Current programming approaches for such systems usually require the application developer to use a combination of several programming models (e. g., MPI with OpenCL or CUDA) in order to exploit the full compute capability of a system. In this paper, we present dOpenCL (distributed OpenCL) - a uniform approach to programming distributed heterogeneous systems with accelerators. dOpenCL extends the OpenCL standard, such that arbitrary computing devices installed on any node of a distributed system can be used together within a single application. dOpenCL allows moving data and program code to these devices in a transparent, portable manner. Since dOpenCL is designed as a fully-fledged implementation of the OpenCL API, it allows running existing OpenCL applications in a heterogeneous distributed environment without any modifications. We describe in detail the mechanisms that are required to implement OpenCL for distributed systems, including a device management mechanism for running multiple applications concurrently. Using three application studies, we compare the performance of dOpenCL with MPI+OpenCL and a standard OpenCL implementation.

关键词： OpenCL Heterogeneous Systems distributed Systems GPU Computing dOpenCL

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Dyacon: JointCloud Dynamic Access Control Model of Data Security Based on Verifiable Credentials 19

Dyacon: JointCloud Dynamic Access Control Model of Data Secu...

引用

19th ieee international symposium on parallel and distributed processing with applications (ieee ISPA)

作者： Zhong, Tao Chang, Junsheng Shi, Peichang Li, Linhui Gao, Fei Natl Univ Def Technol Coll Comp Sci & Technol Parallel & Distributed Proc Lab PDL Changsha Peoples R China Natl Univ Def Technol Coll Comp Inst Comp Technol Changsha Peoples R China

ISBN: (纸本)9781665435741

In JointCloud, when multiple entities conduct data collaboration, role-based access control (RBAC) can offer flexible and secure access control policies to ensure security, privacy of data, which is widely utilized in data access of organizations. However, existing RBAC is confronted with problems such as lacking in dynamic role assignment, explosion of role number and uncertainty and unreliability of users' identities, which affect the performance of access control. In this paper, we propose a model to formulate fine-grained access control policy for data and implement dynamic and automatic assignment of roles in hierarchical tree structure based on multi-dimensional attributes. This model adopts decentralized identifier and verifiable credential to describe entities' identity, and leverages blockchain and smart contract to conduct access control policies. This model makes up for the deficiencies of existing RBAC and strengthens the dynamicity of access control policies. Experimental results shows that the model can assign roles to users in a dynamic and automatic way, which verifies the feasibility of the model.

关键词： Role-based access control dynamic decentralized identifier verifiable credential blockchain

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An Entertaining Approach to parallel Programming Education 32

An Entertaining Approach to Parallel Programming Education

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32nd ieee international parallel and distributed processing symposium (IPDPS)

作者： Buzek, Emanuel Krulis, Martin Charles Univ Prague Fac Math & Phys Parallel Architectures Applicat Algorithms Res Gr Prague Czech Republic

ISBN: (纸本)9781538655559

Despite the facts that multicore CPUs are present in virtually every personal computer or cell phone and distributed systems in the form of cloud services are steadily penetrating various domains of our lives, only a minority of programmers and computer science graduates are able to effectively design and develop parallel and distributed applications. Serial thinking is natural to all humans and it is also encouraged by many computer science curricula. Even though that leading educational institutions are attempting to rectify this trend by introducing parallel programming courses into their study programs, these courses are often dedicated for more experienced students in their fourth of fifth year since mastering modern parallel technologies like OpenMP or CUDA requires certain level of programming skills. It can be argued, that the parallel thinking should be taught much sooner, perhaps even before tertiary education. To this end, we have created an educational platform Parapple that aims to introduce parallelism and related problems like load balancing or synchronization to inexperienced programmers in an entertaining form. Our platform is web-based, so it can run in any modern browser on all operating systems without installation and the users are required to have only a very basic understanding of structural imperative programming.

关键词： parallel programming education simple visual web

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Accelerating Message Passing Operation of GDL-Based Constraint Optimization Algorithms Using Multiprocessing 19

Accelerating Message Passing Operation of GDL-Based Constrai...

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19th ieee international symposium on parallel and distributed processing with applications (ieee ISPA)

作者： Zaoad, Syeed Abrar Tanjim, Tauhid Hasan, Mir Mamun-Or-Rashid, Md Almansour, Ibrahem Abdullah Khan, Md Mosaddek Univ Dhaka Dept Comp Sci & Engn Dhaka 1000 Bangladesh Austin Peay State Univ Dept Comp Sci & Informat Technol Clarksville TN 37040 USA King Abdulaziz City Sci & Technol Dept Comp Sci & Informat Technol Riyadh Saudi Arabia

ISBN: (纸本)9781665435741

This paper develops a new message passing protocol that can be used to speed up the inference process of Generalized Distributive Law (GDL) based constraint optimization algorithms. In particular, we parallelize the inference process of the GDL-based constraint optimization algorithms which have been widely used to solve Constraint Optimization Problems (COPs) in different real world applications, such as wire routing, image analysis, computer-aided gas pipeline operation, and numerical optimization. It is worth noting that the proposed new parallel approach can be applied to accelerate any GDL-based message passing algorithms, such as Max-Sum, Max-Product or Sum-Product. In this work, we make use of the available Central processing Unit (CPU) cores of a system to minimize the time it requires to execute a given algorithm. Consequently, this reduced computation time will accelerate the GDL-based COP algorithms which can be used in larger systems. However, the main challenge is to maintain the quality of the solution while minimizing the completion time. Our proposed protocol specifically takes this trade-off into account, and our empirical results depict that it is able to produce the same solution quality while accelerating the inference process 2-10 times faster compared to the state-of-theart.

关键词： COP Generalized distributive law parallel computing Speeding up

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