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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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Simulation models at the development of distributed data processing systems 4

Simulation models at the development of distributed data pro...

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4th Korea-Russia international symposium on Science and Technology (KORUS 2000)

作者： Tsapko, G Grishmanovsky, P Danilenko, I Balakanov, A Tomsk Polytechn Univ Chair Automat & Comp Syst Cybernet Ctr Tomsk Russia

ISBN: (纸本)0780364864

the development of control systems often implies necessity of the organization of parallel computing processes or the implementation of software of distributed data processing. Solving this problems we should carry out such stages as constructing system structure, developing scheme of processes communication, choosing special language tools of the parallel programming. Such formal tools of simulation as Petri nets and its extensions can lighten the resolving of this problems. the communication of parallel processes is described by the net structure, which can be easily obtained from the process state graph and the. algorithm implemented by this process. It is important to note that Petri nets allow to describe asynchronous and parallel independent events. Occurrences of transitions act as events and result in creating, moving and deleting tokens. In this case the processes are represented by tokens, and the cortege of token attributes acts as a data segment of the process. To this effect the object-oriented modification of the hierarchical E-nets is developed. At the developing of the given E-nets modification we have been concentrated on the creating of the open program interface. By this we have achieved two important factors. First, ne can bind the net events and any calculations or input/output operations by any available code library. Second, constructed in that way the kernel of a distributed system is independent and can be used in a resulted software product. though the development of the corresponding design tools are not finished, the effectiveness of the given approach is confirmed by the results of scientific work of authors.

关键词： distributed data processing simulation Petri nets parallel processes

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parallel local search for the Costas Array Problem

Parallel local search for the Costas Array Problem

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

作者： Diaz, Daniel Richoux, Florian Caniou, Yves Codognet, Philippe Abreu, Salvador Univ Paris 01 F-75231 Paris 05 France Univ Tokyo Tokyo Japan Nat Inst Inf NII Japanese French Lab Inf JFLI Tokyo Japan Univ Evora CENTRIA FCT Evora Portugal

ISBN: (纸本)9780769546766

the Costas Array Problem is a highly combinatorial problem linked to radar applications. We present in this paper its detailed modeling and solving by Adaptive Search, a constraint-based local search method. Experiments have been done on both sequential and parallel hardware up to several hundreds of cores. Performance evaluation of the sequential version shows results outperforming previous implementations, while the parallel version shows nearly linear speedups up to 8,192 cores.

关键词： constraint solving Costas array implementation local search metaheuristics parallelism

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A Hardware/Software Co-Design Approach for Control applications with Static Real-Time Reallocation 30

A Hardware/Software Co-Design Approach for Control Applicati...

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

作者： Janssen, Benedikt Naserddin, Moataz Huebner, Michael Ruhr Univ Bochum Embedded Syst Informat Technol Bochum Germany

ISBN: (纸本)9781509036820

the reliability of a system can be increased by redundancy. With redundancy, faults can be detected through comparison and failing components can be replaced. In order to avoid the verification of different implementations, the creation of redundant components from a single source is beneficial. In this paper, we propose a hardware/software (hw/sw) co-design approach for control applications that target a hardware platform based on the Xilinx Zynq-7000. Our approach contains a tool chain that allows to generate the software task, as well as a hardware accelerator from the same controller model. Moreover, it includes an architecture which allows to switch between the two implementations while maintaining soft real-time constraints. the hardware accelerator can be instantiated multiple times and the software task can be started on multiple processor cores in order to increase the redundancy. We evaluated our approach with a closed-loop controller in a process automation scenario, in which the water of a tank is kept at a constant level. We show, that redundancy can be added with only little effort during development time as well as runtime, and that the control mechanism is not influenced by dynamic reallocation.

关键词： Redundancy

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Towards parallel Spatial Query processing for Big Spatial Data

Towards Parallel Spatial Query Processing for Big Spatial Da...

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

作者： Zhong, Yunqin Han, Jizhong Zhang, Tieying Li, Zhenhua Fang, Jinyun Chen, Guihai Chinese Acad Sci Inst Comp Technol Beijing Peoples R China Peking Univ Beijing Peoples R China Shanghai Jiao Tong Univ Shanghai Peoples R China Grad Univ Chinese Acad Sci Beijing Peoples R China

ISBN: (纸本)9780769546766

In recent years, spatial applications have become more and more important in both scientific research and industry. Spatial query processing is the fundamental functioning component to support spatial applications. However, the state-of-the-art techniques of spatial query processing are facing significant challenges as the data expand and user accesses increase. In this paper we propose and implement a novel scheme (named VegaGiStore) to provide efficient spatial query processing over big spatial data and numerous concurrent user queries. Firstly, a geography-aware approach is proposed to organize spatial data in terms of geographic proximity, and this approach can achieve high aggregate I/O throughput. Secondly, in order to improve data retrieval efficiency, we design a two-tier distributed spatial index for efficient pruning of the search space. thirdly, we propose an "indexing + MapReduce" data processing architecture to improve the computation capability of spatial query. Performance evaluations of the real-deployed VegaGiStore system confirm its effectiveness.

关键词： spatial data management distributed storage spatial index spatial query spatial applications

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Study on Energy Consumption Optimization Strategy for Data Transmission in Wireless Networks 15

Study on Energy Consumption Optimization Strategy for Data T...

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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, Nao Wang, Gaocai Xie, Tianxiao Wu, Hongjia Guangxi Univ Sch Comp & Elect Informat Nanning Guangxi Peoples R China Guangxi Univ Guangxi Coll Nanning Guangxi Peoples R China Guangxi Univ Univ Key Lab Parallel & Distributed Comp Technol Nanning Guangxi Peoples R China

ISBN: (纸本)9781538637906

the limited battery lifetime of a wireless device, which is directly related to the better experience of the wireless network's users, imposes a constraint on network performance. thus, one of the most significant objectives in wireless networks is to reduce energy consumption of wireless terminals. Considering that the communication is much more energy efficient when the channel conditions are good, we design and propose an energy consumption optimization strategy for data transmission based on optimal stopping theory, with a view of minimizing the energy consumption of a wireless device and prolonging its battery lifetime. Wireless terminals periodically detect the channel to find the moment when the channel state is the best to transmit data under a given transmission delay demand in wireless links. However, the increasing number of channel detection causes the delay of transmitting data, so we introduce a discount function to convert this problem into a discounted secretary problem and finally find out the optimal stopping rule. Simulation results show that the proposed strategy offers significant average energy efficiency of unit data and is quite promising for the research on the energy efficiency of wireless networks.

关键词： channel awareness optimal stopping theory discounted secretary problem energy consumption optimization

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A Framework for Designing and Evaluating distributed Real-Time applications 14

A Framework for Designing and Evaluating Distributed Real-Ti...

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18th IEEE/ACM international symposium on distributed Simulation and Real Time applications (DS-RT)

作者： Valadares, Arthur Lopes, Cristina Videira Univ Calif Irvine Bren Sch Informat & Comp Sci Irvine CA 92697 USA

ISBN: (纸本)9781479961436

distributed Real-Time (DRT) systems are among the most complex software systems in the field of Computer Science. the contradictory nature of distributed computing and real-time requirements forces prioritization that is dependent on domain-specific knowledge. this combination of distributed and real-time system requirements generates a new set of properties, and requires a new conceptual framework. In this paper, we present a conceptual framework for developing DRT systems. We divide our framework in 3 phases: example applications, design properties, and evaluation. We demonstrate our framework properties with our own distributed Virtual Environment architecture and other 2 examples: Google's Cluster Architecture and collision avoidance systems. Finally we discuss evaluation of DRT systems through the lens of our own architecture, and conclude with general lessons to apply to other DRT systems. Our conceptual framework enables developers of DRT systems to foresee and address issues early in the design. Additionally, we expose general lessons and good practices of evaluation for other DRT systems.

关键词： distributed processing DRT systems Google cluster architecture collision avoidance systems computer science design properties phase distributed computing distributed realtime applications distributed virtual environment architecture domain-specific knowledge evaluation phase example applications phase Fault tolerance Fault tolerant systems Hardware parallel processing Real-time systems Scalability Sensors Fault tolerant systems distributed computing real-time systems dead reckoning tracer computer science distributed processing parallel processing (COMPUTERS) Fault tolerance Scalability conceptual framework Computer hardware Sensors airborne anticollision system Beacon collision avoidance systems Software systems

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parallel Graph Partitioning on a CPU-GPU Architecture 30

Parallel Graph Partitioning on a CPU-GPU Architecture

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

作者： Goodarzi, Bahareh Burtscher, Martin Goswami, Dhrubajyoti Concordia Univ Dept Comp Sci Montreal PQ Canada Texas State Univ Dept Comp Sci San Marcos TX USA

ISBN: (纸本)9781509036820

Graph partitioning has important applications in multiple areas of computing, including scheduling, social networks, and parallel processing. In recent years, GPUs have proven successful at accelerating several graph algorithms. However, the irregular nature of the real-world graphs poses a problem for GPUs, which favor regularity. In this paper, we discuss the design and implementation of a parallel multilevel graph partitioner for a CPU-GPU system. the partitioner aims to overcome some of the challenges arising due to memory constraints on GPUs and maximizes the utilization of GPU threads through suitable load-balancing schemes. We present a lock-free shared-memory scheme since fine-grained synchronization among thousands of threads imposes too high a performance overhead. the partitioner, implemented in CUDA, outperforms serial Metis and parallel MPI-based ParMetis. It performs similar to the shared-memory CPU-based parallel graph partitioner mt-metis.

关键词： graph partitioning coarsening un-coarsening refinement GPU

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CPU-GPU Collaborative Acceleration of Bulletproofs-A Zero-Knowledge Proof Algorithm 19

CPU-GPU Collaborative Acceleration of Bulletproofs-A Zero-Kn...

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

作者： Huang, Ying Zheng, Xiaoying Zhu, Yongxin Kong, Xiangcong Jing, Xinru Chinese Acad Sci Shanghai Adv Res Inst Shanghai 201210 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China

ISBN: (纸本)9781665435741

Zero-knowledge proofs help to protect the privacy and security of blockchains by keeping the transaction information private. Bulletproofs are the state-of-the-art zero-knowledge technologies that perform confidential transactions without a trusted setup. However, Bulletproofs are still computationally inefficient to be applied in blockchain applications, and it is of great significance to parallelize Bulletproofs on GPUs. In this paper, we present a CPU-GPU collaborative framework to accelerate the inner-product arguments of Bulletproofs. To our best knowledge, it is the first time that Bulletproofs are implemented in a CPU-GPU hybrid system. the experiments show that our implementation achieves an average speedup ratio of 3.7x. the results also demonstrate that the CPU-GPU collaborative acceleration of Bulletproofs has properties of small size, high efficiency, and high scalability.

关键词： zero-knowledge proof blockchain parallel acceleration CPU-GPU co-acceleration inner-product arguments

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Towards Modelling parallelism and Energy Performance of Multicore Systems

Towards Modelling Parallelism and Energy Performance of Mult...

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

作者： Tudor, Bogdan Marius Teo, Yong Meng

ISBN: (纸本)9780769546766

Multicore systems are increasingly adopted across many application domains. Consequently, understanding their performance is becoming an important issue for a growing number of users. However, performance analysis of parallel programs on multicore systems is still challenging, especially for large programs or applications developed in multiple programming languages. this paper proposes an analytical modelling approach for studying the parallelism and energy performance of shared-memory programs on multicore systems. the proposed model derives the speedup and speedup loss from data dependency and memory overhead in traditional UMA and NUMA multicore systems, and emerging platforms such as ARM multicores. Using only widely available inputs derived from the trace of the operating system run-queue and hardware events counters, the proposed model achieves high practicality and generality across many types of shared-memory programs running on different multicore platforms. applications of the model include understanding achieved speedup and parallelism loss, and prediction of optimal core and memory configuration, where the optimality criteria is minimum execution time, minimum energy usage or a trade-off between these two.

关键词： Energy performance Multi-core processors Speeding parallelism Synclitism data dependency parallel programming

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