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POSITION PAPER: Countering the Noise-induced Critical Path Problem 30

POSITION PAPER: Countering the Noise-induced Critical Path P...

引用

30th ieee international parallel and distributed processing symposium (IPDPS)

作者： Long, Rogelio Moore, Shirley Univ Texas El Paso Comp Sci Program El Paso TX 79968 USA Univ Texas El Paso Dept Comp Sci El Paso TX 79968 USA

ISBN: (纸本)9781509036820

As the number of cores grow in HPC systems, so does the effect of system noise on applications running on these systems. With the knowledge that future large-scale parallel computer systems, including exascale systems, will operate under an overall power bound, we claim to have found a solution that can counter the effects of noise. We present two methods that estimate the effects of noise on an application and then optimally redistributes power among nodes, such that the effects of noise are "hidden".

关键词： exascale power consumption parallel efficiency operating system noise

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Contactless Measurement of Pose in the Earth Frame using a Mobile Phone 15

Contactless Measurement of Pose in the Earth Frame using a M...

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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 Xiu, Liang Zhejiang Univ Coll Comp Sci & Technol Hangzhou Zhejiang Peoples R China Zhejiang Univ Sch Software Technol Ningbo Zhejiang Peoples R China

ISBN: (纸本)9781538637906

In this paper, we propose an accurate contactless pose estimation method for the pose of a target in the earth coordinate frame using a mobile phone equipped with a camera and an inertial measurement unit (IMU). Under the Manhattan world assumption, we first estimate the relative pose between the target and the camera using an existing line-based pose estimation method and then seek the target's pose in the earth frame by combining the visual pose and the IMU orientation. To improve the overall estimation accuracy, we propose a new camera-IMU relative pose calibration method, where we take the different stochastic nature the accelerometer and magnetometer measurements into consideration, and propose a new a consistency measure defined on elevation and azimuth angles. When compared to state-of-the-art methods, it demonstrates strong advantage on both elevation and azimuth estimation accuracy while featuring convenient calibration setting-up. We also report the improved overall pose estimation accuracy based on evaluations on a real-world dataset using our method, in contrast to an uncalibrated phone.

关键词： mobile phone pose IMU measure

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Performance Study of Interference on Sharing GPU and CPU Resources with Multiple applications

Performance Study of Interference on Sharing GPU and CPU Res...

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23rd ieee international parallel and distributed processing symposium

作者： Yamagiwa, Shinichi Wada, Koichi INESC ID Rua Alves Redol 9 P-1000029 Lisbon Portugal Univ Tsukuba Dept Comp Sci Tsukuba Ibaraki 305 Japan

ISBN: (纸本)9781424437511

In the last years, the performance and capabilities of Graphics processing Units (GPUs) improved drastically, mostly due to the demands of the entertainment market, with consumers and companies alike pushing for improvements in the level of visual fidelity, which is only achieved with high performing GPU solutions. Beside the entertainment market, there is an ongoing global research effort for using such immense computing power for applications beyond graphics, such as the domain of general purpose computing. Efficiently combining these GPUs resources with existing CPU resources is also an important and open research task. This paper is a contribution to that effort, focusing on analysis of performance factors of combining both resource types, while introducing also a novel job scheduler that manages these two resources. Through experimental performance evaluation, this paper reports what are the most important factors and design considerations that must be taken into account while designing such job scheduler.

关键词： Graphics processing unit

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Author Influence Spreading Prediction Based on Co-citation Interest Similarity 15

Author Influence Spreading Prediction Based on Co-citation I...

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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： Chang, Ning Huang, Fang Zhang, Yuchen Wang, Xiangqian Wan, Wencong Cent S Univ Sch Informat Sci & Engn Changsha 410083 Hunan Peoples R China

ISBN: (纸本)9781538637906

In the previous research, the assessment of author's influence is mainly based on the historical information of literature, such as the number of author's publications and times cited, and the reference relationship. However, the author influence is not only reflected in the amount of static data, but also in the behavior that the author's point of view is noticed and communicated. Meanwhile, the influence spreads through the relational path of cooperation and citation between authors, on which the authors should have similar academic interests. Therefore, this paper proposed an influence spreading model with the author's co-citation interest similarity and the path of citation and cooperation. On the basis of this, a novel algorithm of influence spreading prediction is designed, and carried on the experiment verification using the public literature information resources. The results of AUC indicator show the effectiveness on the proposed method.

关键词： Influence Spreading Prediction Citation Network Co-citation Matrix Interest Similarity

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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...

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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： 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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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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parallel Discrete-Event Simulation on Data processing Engines 16

Parallel Discrete-Event Simulation on Data Processing Engine...

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20th ieee/ACM international symposium on distributed Simulation and Real Time applications (DS-RT)

作者： Shudo, Kazuyuki Kato, Yuya Sugino, Takahiro Hanai, Masatoshi Tokyo Inst Technol Tokyo Japan Cygames Inc Tokyo Japan Digital Arts Inc Tokyo Japan Nanyang Technol Univ Singapore 639798 Singapore

ISBN: (纸本)9781509035052

Development of a decent parallel simulator is challenging work. It should achieve enough performance, scalability and fault tolerance. Our proposal is utilizing general-purpose data processing engines such as MapReduce implementations for parallel simulation. Widely used and mature engines take away a large part of the development effort and support scalability and fault tolerance. We demonstrate that a parallel discrete-event simulator can be implemented on such engines, Apache Hadoop and Apache Spark, by modeling message passing of distributed systems on MapReduce key-value processing model. Implemented simulators could handle 10 8 nodes with 10 computers. Preliminary evaluation showed that our Spark-based simulator is about 20 times as fast as an existing simulator thanks to Time Warp.

关键词： parallel discrete-event simulation Time Warp peer-to-peer data processing engine MapReduce

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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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Enhancing Java Streams API with PowerList Computation 34

Enhancing Java Streams API with PowerList Computation

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

作者： Niculescu, Virginia Bufnea, Darius Sterca, Adrian Babes Bolyai Univ Fac Math & Comp Sci Cluj Napoca Romania

ISBN: (纸本)9781728174457

Since they were introduced, Java streams were very fast embraced by the industry, being currently used at a large scale. The parallelism enabled by them is very easy to achieve, but it is constrained either by the used parallelism model (in some cases), or by the set of operations that could be specified using streams. We investigate in this paper the possibility to enhance the computation types that could be defined using the Java streams API by introducing into this infrastructure the PowerList theory based computation. Powerlists are recursive data structures that together with their associated algebraic theory offer both abstractions in order to ease the development of parallel applications, and also a methodology to design parallel algorithms. The Java streaming infrastructure could be adapted to support them in a great measure. We present here such an adaptation, and we analyse and discuss the advantages and constraints. This analysis is exemplified by application examples.

关键词： parallel programming streams recursive structures Java performance models

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