检索结果-内蒙古大学图书馆

42nd IEEE International Conference of the Chilean computer Science Society, SCCC 2023

作者： Tirado, Felipe Wong, Alvaro Rexachs, Dolores Luque, Emilio Universidad Autónoma de Barcelona Computer Architecture and Operating System Department Barcelona Spain Universidad Católica Del Maule Departamento de Computación e Industrias Talca Chile

ISBN: (纸本)9798350313895

The performance modeling of a parallel application is crucial for the better use of the HPC resources. However, certain scientific applications exhibit irregular performance characteristics, posing challenges in accurately modeling their behavior. This irregularity primarily arises from these applications' non-deterministic computation and communication patterns. This article introduces a performance modeling methodology designed for irregular parallel applications based on the PAS2P methodology. The PAS2P tool generates an application signature and utilizes it to analyze and predict performance. Our approach is based on process-based data analysis to characterize these applications according to the behavior of individual processes, proposing a model to group processes at the time of signature construction. This model allowed us to obtain a reduced number of phases and weights in a limited time, allowing us to characterize the application. © 2023 IEEE.

关键词： Application performance analysis irregular parallel applications MPI parallel application parallel application modeling

来源：评论

学校读者我要写书评

暂无评论

A tool for efficient execution of SPMD applications on multicore clusters

引用

Procedia computer Science 2010年第1期1卷 2599-2608页

作者： Ronal Muresano Dolores Rexachs Emilio Luque Universitat Autonoma de Barcelona Computer Architecture and Operating System Department Barcelona Spain C.P 08293

A challenge for parallel programmers is to efficiently execute traditional MPI applications, designed to be run in a cluster of single core nodes, on a multicore cluster. Multicore clusters include communication heterogeneities which have to be handled carefully to improve efficiency and speedup. This research presents an execution tool developed for SPMD applications which is focused on managing communications heterogeneities, distributing the workload among cores and enhancing parallel performance on multicore clusters. Our tool has been designed through using an execution methodology which includes mapping and scheduling strategies. The tool integrates five modules which give programmers a method to execute their applications efficiently. This tool is centered on improving SPMD applications designed to use MPI for communications. These applications were selected because they are the most commonly used in parallel computing. Also, these applications are chosen due to their data synchronization and communications volumes which can generate communication imbalance issues. The novel contribution of this tool is to permit programmers to find a minimum execution time, while the efficiency level is maintained over a defined threshold. Our tool has been tested in different multicore clusters and with a set of scientific applications. The results obtained show a considerable improvement in the applications efficiency when the tool is applied.

关键词： Multicore cluster Efficient execution Methodology Performance SPMD Applications

来源：评论

学校读者我要写书评

暂无评论

Characterization Model for Irregular MPI Applications Based on PAS2P 43

Characterization Model for Irregular MPI Applications Based ...

引用

43rd International Conference of the Chilean computer Science Society, SCCC 2024

作者： Tirado, Felipe Wong, Alvaro Rexachs, Dolores Luque, Emilio Universidad Católica Del Maule Departamento de Computación e Industrias Talca Chile Universidad Autónoma de Barcelona Computer Architecture and Operating System Department Barcelona Spain

ISBN: (纸本)9798331527891

Performance modeling of parallel applications is essential for optimizing resource usage in high-performance computing (HPC) systems. However, some scientific applications exhibit irregular performance behaviors, which complicates cre-ating accurate characteristic models. This irregularity is mainly due to these applications' nondeterministic computational and communication patterns. Tools such as PAS2P (Parallel Application Signatures for Performance Prediction) are used to extract detailed information about parallel applications. PAS2P is based on the repetitive behavior of the application to analyze and predict the application's performance, using the same resources that the parallel application uses for its execution. This paper presents a characterization model based on the PAS2P methodology for irregular applications that groups the repeatability patterns of all the processes running the application into a single characteristic model. To achieve this, we consolidate the different characterizations performed by each process independently, using metrics such as the number of instructions, the execution time of relevant sections, and the topological characteristics of the application. By grouping these repeatability patterns of all processes, we can obtain a concise and accurate representation of the behavior of irregular applications, thus improving predictability and performance optimization in HPC systems. © 2024 IEEE.

关键词： Application performance analysis irregular parallel applications MPI parallel application parallel application modeling

来源：评论

学校读者我要写书评

暂无评论

Learning parallel programming: a challenge for university students

引用

Procedia computer Science 2010年第1期1卷 875-883页

作者： Ronal Muresano Dolores Rexachs Emilio Luque Universitat Autonoma de Barcelona Computer Architecture and Operating System Department Barcelona SPAIN C.P 08293

Currently, the need to learn parallel applications topics in students has become an important issue due to the rapid growth in the parallel computing field. In fact, this topic has been included in computer Science curriculum, but students present difficulties to design MPI parallel applications efficiently. We present a novel methodology for teaching parallel programming centered on improving parallel applications written by students through their experiences obtained during classes. The methodology integrates theoretical and practical sections which are focused on teaching two parallel paradigms, master/Worker and SPMD. These paradigms were selected due to their different communication and computation behaviors, which generate challenges for students when they wish to improve performance application metrics. Our methodology allows students to discover their own errors and how to correct them. In addition, students analyze the issues and advantages in the application designed in order to enhance the performance metrics. Applying this methodology gave us a significant progress in parallel applications designed by students, where we have observed an improvement of around 47% in the students’ skill about parallel programming when they design parallel applications.

关键词： Active learning Parallel programming Methodology Performance metrics

来源：评论

学校读者我要写书评

暂无评论

Enhanced Method for the Signature Adaptability to the Application Behavior

Enhanced Method for the Signature Adaptability to the Applic...

引用

IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Alvaro Wong Dolores Rexachs Emilio Luque Computer Architecture and Operating System Department Universidad Autonoma de Barcelona Barcelona SPAIN

ISBN: (纸本)9781479914449

Predicting performance of parallel applications using benchmarks is becoming more complex. Each parallel application has different behavior and it is difficult to know which is the benchmark that most closely resembles the application, therefore the benchmarks have a low representativeness of real programs. We are proposing the users to predict the performance of their applications by generating a signature using a method called Parallel Application Signature for Performance Prediction (PAS2P), which represents the core of their applications. We are presenting an enhanced method for the signature adaptability to the application behavior. Until now, phases were considered independently, each one had a checkpoint, but now we analyze whether they are contiguous and can form a group. This is done by decreasing the storage needed for the signature, slightly increasing the signature execution time in order to predict the performance of the applications thus compensating the execution time of the signature and its size (MB). We show results from building different signatures for the same applications to allow the user to select between different options in order to create the signature.

关键词： Phase measurement Benchmark testing Instruments Analytical models Time measurement Visualization Libraries

来源：评论

学校读者我要写书评

暂无评论

Software Probes: A Method for Quickly Characterizing Applications' Performance on Heterogeneous Environments

Software Probes: A Method for Quickly Characterizing Applica...

引用

International Conference on Parallel Processing Workshops (ICPPW)

作者： Alexandre Otto Strube Dolores Rexachs Emilio Luque Computer Architecture and Operating System Department (CAOS) Universitat Autònoma Barcelona Barcelona Spain

This work describes ongoing work for measuring the performance of an application running on a machine, where this measurement takes a fraction of the time required to run the application itself thoroughly. We call it Performance Software Probe. The objective is to have knowledge of this machine/application performance previous to the execution, and without the need to even install this application on the machine to characterize. Our goal is to enhance efficiency of master/worker applications on highly heterogeneous multiclusters, where the available machines - and their respective performance indexes - are not known until the time we have them available for execution.

关键词： Software performance Probes Application software Equations Throughput Software measurement Time measurement Performance analysis computer performance Parallel processing

来源：评论

学校读者我要写书评

暂无评论

Analyzing the data behavior of parallel application for extracting performance knowledge.

Analyzing the data behavior of parallel application for extr...

引用

International Conference on High Performance Computing & Simulation (HPCS)

作者： Felipe Tirado Alvaro Wong Dolores Rexachs Emilio Luque Computer Architecture and Operating System Department Universidad Autónoma de Barcelona Barcelona Spain

ISBN: (数字)9781728144849

ISBN: (纸本)9781728144856

When performance tools are used to analyze an application with thousands of processes, the data generated can be bigger than the memory size of the cluster node, causing this data to be loaded in swap memory. In HPC systems, moving data to swap is not always an option. This problem causes scalability limitations that affect the user experience and it presents serious restrictions for executing on a large scale. In order to obtain knowledge about the application's performance, the performance tools usually instrument the application to generate the data. When the instrumented parallel application is executed with thousands of processes, the data generated may be higher than the memory size of the compute node used to analyze the data in order to obtain the knowledge. Performance tools such as PAS2P predict the execution time in target machines. In order to predict the performance, PAS2P carries out a data analysis with the data in each application process. The data collected is analyzed sequentially, which results in an inefficient use of system resources. To solve this, we propose designing a parallel method to solve the problem when we manage a high volume of data, decreasing its execution time and increasing scalability, improving the PAS2P toolkit to generate performance knowledge defined by the application's behavior phases.

关键词： Tools Instruments Memory management Scalability Performance analysis Data mining Libraries

来源：评论

学校读者我要写书评

暂无评论

POSTER: “Analysis of scalability: A parallel application model approach”

POSTER: “Analysis of scalability: A parallel application mo...

引用

IEEE International Conference on Cluster Computing

作者： Javier Panadero Alvaro Wong Dolores Rexachs Emilio Luque Department of Computer Architecture and Operating System (CAOS) Universitat Autonoma de Barcelona Barcelona Spain

In this paper we propose a methodology that allows us to predict the application scalability behavior in a specific system, providing information to select the most appropriate resources to run the application. We explain the general methodology, focusing on the presentation of a novel method to model the logical application trace for a large number of processes. This method is based on the projection of a set of executions of the application signature for a small number of processes. The generated traces are validated by comparing them with the real traces obtained with PAS2P tool. We present the experimental validation for the BT Nas Parallel Benchmark. The signatures for 16, 36, 64, 81 and 100 processes were executed and used to model and project the logical trace for 1024 processes. The results obtained show the accuracy of the method. The communication pattern was predicted without error, while the predicted error is less than 10% for the communication volume and less than 5% for the number of instructions.

关键词： Scalability Computational modeling Benchmark testing Predictive models Analytical models Focusing Multicore processing

来源：评论

学校读者我要写书评

暂无评论

Extraction of Parallel Application Signatures for Performance Prediction

Extraction of Parallel Application Signatures for Performanc...

引用

IEEE International Conference on High Performance Computing and Communications (HPCC)

作者： Alvaro Wong Dolores Rexachs Emilio Luque Department of Computer Architecture and Operating System (CAOS) University Autonoma de Barcelona Barcelona Spain

Predicting performance of parallel applications is becoming increasingly complex and the best performance predictor is the application itself, but the time required to run it thoroughly is a onerous requirement. We seek to characterize the behavior of message-passing applications on different systems by extracting a signature which will allow us to predict what system will allow the application to perform best. To achieve this goal, we have developed a method we called Parallel Application Signatures for Performance Prediction (PAS2P) that strives to describe an application based on its behavior. Based on the application's message-passing activity, we have been able to identify and extract representative phases, with which we created a Parallel Application Signature that has allowed us to predict the application's performance. We have experimented with different signature-extraction algorithms and found a reduction in the prediction error using different scientific applications on different clusters. We were able to predict execution times with an average accuracy of over 98%.

关键词： Instruments Prediction algorithms Computational modeling Synchronization Parallel machines Message systems Instruction sets

来源：评论

学校读者我要写书评

暂无评论

Dynamic on demand virtual clusters in grid

Dynamic on demand virtual clusters in grid

引用

Workshops on Parallel Processing, Euro-Par 2008: VHPC 2008, UNICORE 2008, HPPC 2008, SGS 2008, PROPER 2008, ROIA 2008, and DPA 2008

作者： Bertogna, Mario Leandro Grosclaude, Eduardo Naiouf, Marcelo De Giusti, Armando Luque, Emilio Department of Computer Science Universidad Nacional del Comahue C.P. 8300 Buenos Aires 1400 Argentina Informatic Research Institute LIDI Universidad Nacional de La Plata Argentina Computer Architecture and Operating System Department Universidad Autónoma de Barcelona Spain

ISBN: (纸本)3642009549

In Grid environments, many different resources are intended to work in a coordinated manner, each resource having its own features and complexity. As the number of resources grows, simplifying automation and management is among the most important issues to address. This paper's contribution lies on the extension and implementation of a grid metascheduler that dynamically discovers, creates and manages on-demand virtual clusters. The first module selects the clusters using graph heuristics. The algorithm then tries to find a solution by searching a set of clusters, mapped to the graph, that achieve the best performance for a given task. The second module, one per-grid node, monitors and manages physical and virtual machines. When a new task arrives, these modules modify virtual machine's configuration or use live migration to dynamically adapt resource distribution at the clusters, obtaining maximum utilization. Metascheduler components and local administrator modules work together to make decisions at run time to balance and optimize system throughput. This implementation results in performance improvement of 20% on the total computing time, with machines and clusters processing 100% of their working time. These results allow us to conclude that this solution is feasible to be implemented on Grid environments, where automation and self-management are key to attain effective resource usage. © Springer-Verlag Berlin Heidelberg 2009.

关键词： Virtual machine

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：