2018 IEEE 25th International Conference on High Performance Computing Workshops (HiPCW)最新文献_第2页

Message from the Workshops Co-Chairs 讲习班联合主席致辞

2018 IEEE 25th International Conference on High Performance Computing Workshops (HiPCW) Pub Date : 2018-12-01 DOI: 10.1109/hipcw.2018.8634050

Anthony Simonet, M. Parashar

引用次数: 0

2018 IEEE 25th International Conference on High Performance Computing Workshops (HiPCW) 2018 IEEE第25届高性能计算国际会议(HiPCW)

2018 IEEE 25th International Conference on High Performance Computing Workshops (HiPCW) Pub Date : 2018-12-01 DOI: 10.1109/hipcw.2018.8634253

引用次数: 0

HiPC 2018 Workshops Committees 重债穷国2018研讨会委员会

2018 IEEE 25th International Conference on High Performance Computing Workshops (HiPCW) Pub Date : 2018-12-01 DOI: 10.1109/hipcw.2018.8634387

引用次数: 0

Health Management of a Typical Small Aircraft Fuel System Using an Adaptive Technique 基于自适应技术的典型小型飞机燃油系统健康管理

2018 IEEE 25th International Conference on High Performance Computing Workshops (HiPCW) Pub Date : 2018-12-01 DOI: 10.1109/HIPCW.2018.8634426

Vijaylakshmi S. Jigajinni, V. Upendranath

{"title":"Health Management of a Typical Small Aircraft Fuel System Using an Adaptive Technique","authors":"Vijaylakshmi S. Jigajinni, V. Upendranath","doi":"10.1109/HIPCW.2018.8634426","DOIUrl":"https://doi.org/10.1109/HIPCW.2018.8634426","url":null,"abstract":"Faults in the aircraft fuel system will degrade its performance and may lead to the complete system failure. In commercial aircraft system, efficient diagnosis can optimize the time to return the aircraft to service, thus allowing less disruption to passenger travel. In this work, an adaptive fault diagnosis technique is developed for a typical small aircraft fuel system, which facilitates efficient learning procedure to forecast the system parameters for non-linear situations. This adaptive technique represents the integration of the Fuzzy Logic and Support Vector Machine (SVM) algorithms in the field of fault diagnosis. Using this adaptive technique health monitoring of aircraft fuel system is discussed. In an aircraft fuel tank, the fault is effectively located by assessing and contrasting the actual parameters and set point parameters related to the system for various time-frames. The fuzzy logic controller is configured with the logical rules as per the required target output. It relies on the aircraft fuel system parameters like the fuel flow rate, level of fuel in the tank, fuel temperature, and fuel pressure. From the logical rules, the control signals related to the aircraft fuel system are derived by the SVM technique. The efficiency in execution of this fault diagnosis tool-based aircraft fuel system gets authenticated in the MATLab/Simulink platform. The simulation is carried by assuming normal operating conditions of aircraft in the laboratory environment.","PeriodicalId":401060,"journal":{"name":"2018 IEEE 25th International Conference on High Performance Computing Workshops (HiPCW)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115924518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

HiPC 2018 WORKSHOP 1: Parallel Fast Fourier Transforms (PFFT) HiPC 2018 WORKSHOP 1:并行快速傅里叶变换(PFFT)

2018 IEEE 25th International Conference on High Performance Computing Workshops (HiPCW) Pub Date : 2018-12-01 DOI: 10.1109/hipcw.2018.8634287

A. Chatterjee, R. Samtaney, B. Hadri, R. Khurram, S. Aseeri, David Keys, Abhishek Kumar, D. Takahashi

引用次数: 0

Framework for Automatic Parallelization 自动并行化框架

2018 IEEE 25th International Conference on High Performance Computing Workshops (HiPCW) Pub Date : 2018-12-01 DOI: 10.1109/HIPCW.2018.8634283

R. AnalaM., Deepika Dash

{"title":"Framework for Automatic Parallelization","authors":"R. AnalaM., Deepika Dash","doi":"10.1109/HIPCW.2018.8634283","DOIUrl":"https://doi.org/10.1109/HIPCW.2018.8634283","url":null,"abstract":"Continuous research to increase the performance gain of the device in the field of computing has led to the advent of multi-core processors, which include more than one independent processing unit (core). This revolution on the hardware-side of the computer demands the software programmers to exploit the processing power by developing parallel programs. Programmers prefer writing serial applications since it is easier to put their ideas into the form of serial code than a parallel one. Hence, parallelizing such serial applications without much burden on the developer becomes paramount. This paper proposes a system that automatically parallelizes serial C code. The system proposed performs detailed dependency analysis, identifies the ‘for’ blocks that satisfy the criteria of being potential to be parallelized using the OpenMP framework, identifies the regions in such potential ‘for’ blocks which need to be run in a critical section. The correctness of the input code is ensured by this system. Also, post execution analysis i.e. execution of the input program to monitor the usage of resources is avoided which makes this system faster than some of the existing systems.","PeriodicalId":401060,"journal":{"name":"2018 IEEE 25th International Conference on High Performance Computing Workshops (HiPCW)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125905309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Experimental Survey of Geospatial Big Data Platforms 地理空间大数据平台实验调查

2018 IEEE 25th International Conference on High Performance Computing Workshops (HiPCW) Pub Date : 2018-12-01 DOI: 10.1109/HIPCW.2018.8634070

Nilkamal More, V. Nikam, Sumit S. Sen

引用次数: 5

HiPC 2018 WORKSHOP 4: Women in Data Science and High Performance Computing (WDSHPC) HiPC 2018 WORKSHOP 4:数据科学和高性能计算中的女性(WDSHPC)

2018 IEEE 25th International Conference on High Performance Computing Workshops (HiPCW) Pub Date : 2018-12-01 DOI: 10.1109/hipcw.2018.8634325

A. Kaginalkar

引用次数: 0

Performance Optimization of Multithreaded 2D FFT on Multicore Processors: Challenges and Solution Approaches 多核处理器上多线程二维FFT的性能优化:挑战与解决方法

2018 IEEE 25th International Conference on High Performance Computing Workshops (HiPCW) Pub Date : 2018-12-01 DOI: 10.1109/HIPCW.2018.8634318

Semyon Khokhriakov, Ravi Reddy Manumachu, Alexey L. Lastovetsky

{"title":"Performance Optimization of Multithreaded 2D FFT on Multicore Processors: Challenges and Solution Approaches","authors":"Semyon Khokhriakov, Ravi Reddy Manumachu, Alexey L. Lastovetsky","doi":"10.1109/HIPCW.2018.8634318","DOIUrl":"https://doi.org/10.1109/HIPCW.2018.8634318","url":null,"abstract":"Fast Fourier transform (FFT) is a key routine employed in application domains such as molecular dynamics, computational fluid dynamics, signal processing, image processing, and condition monitoring systems. Its performance on latest multicore platforms is therefore of paramount concern to the high performance computing community. The inherent complexities however in these platforms such as severe resource contention and non-uniform memory access (NUMA) pose formidable challenges. We study in this work the performance profiles of multithreaded 2D fast Fourier transforms provided in three highly optimized packages, FFTW-2.1.5, FFTW-3.3.7, and Intel MKL FFT on a modern Intel Haswell multicore processor consisting of thirty-six cores. First, we show that all the three routines demonstrate drastic performance variations and therefore their average performances are considerably lower than their peak performances. The ratio of average to peak performance for the 2D FFT routines from the three packages are 40%, 30%, and 24%. We demonstrate that the average and peak performance of FFTW-2.1.5, last updated in 1999, is better than FFTW-3.3.7 suggesting that extensive machine optimization using architecture-specific techniques can be harmful in the long run since hardware platforms undergo drastic changes. We also show that while the average performance of Intel MKL FFT is better than FFTW-3.3.7, it is outperformed by FFTW-3.3.7 for many problem sizes. Also the width of the performance variations for Intel MKL FFT are severe compared to FFTW-3.3.7. Based on our study, we conclude that improving the average performance of FFT by removal of performance variations on modern multicore processors constitutes a tremendous research challenge. We propose three possible solution approaches to remove the performance variations and suggest future directions.","PeriodicalId":401060,"journal":{"name":"2018 IEEE 25th International Conference on High Performance Computing Workshops (HiPCW)","volume":"165 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133523780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

FFTX and SpectralPack: A First Look FFTX和SpectralPack:第一眼

2018 IEEE 25th International Conference on High Performance Computing Workshops (HiPCW) Pub Date : 2018-12-01 DOI: 10.1109/HIPCW.2018.8634111

F. Franchetti, Daniele G. Spampinato, Anuva Kulkarni, Doru-Thom Popovici, Tze Meng Low, M. Franusich, A. Canning, P. McCorquodale, B. V. Straalen, P. Colella

引用次数: 18