Results 1 -
5 of
5
Performance Analysis Tools for Parallel Java
- Applications on Shared-memory Systems, 30th International Conference on Parallel Processing (ICPP'01
, 2002
"... In this paper we describe an instrumentation environment for the performance analysis and visualization of parallel applications written in JOMP, an OpenMP-like interface for Java. The environment includes two complementary approaches. The first one has been designed to provide a detailed analysis o ..."
Abstract
-
Cited by 6 (3 self)
- Add to MetaCart
(Show Context)
In this paper we describe an instrumentation environment for the performance analysis and visualization of parallel applications written in JOMP, an OpenMP-like interface for Java. The environment includes two complementary approaches. The first one has been designed to provide a detailed analysis of the parallel behavior at the JOMP programming model level. At this level, the user is faced with parallel, work-sharing and synchronization constructs, which are the core of JOMP. The second mechanism has been designed to support an in-depth analysis of the threaded execution inside the Java Virtual Machine (JVM). At this level of analysis, the user is faced with the supporting threads layer, monitors and conditional variables. The paper discusses the implementation of both mechanisms and evaluates the overhead incurred by them. 1.
An Instrumentation Tool for Threaded Java Application Servers. XIII Jornadas de Paralelismo
- In XIII Jornadas de Paralelismo
, 2002
"... Abstract — Rapid development of e-business services has extended the use of application servers on companies. The Java platform has an important presence on this sector because of its portability and development facilities. Java application servers are becoming a key component in these environments, ..."
Abstract
-
Cited by 3 (1 self)
- Add to MetaCart
(Show Context)
Abstract — Rapid development of e-business services has extended the use of application servers on companies. The Java platform has an important presence on this sector because of its portability and development facilities. Java application servers are becoming a key component in these environments, thus the knowledge of these servers behavior requires the use of new tools to overcome the limitations of existing ones in both offered information and semantics of execution. The natural environment for e-business applications is composed by medium-range parallel servers executing Java based threaded applications. So, understanding threaded Java application servers on parallel environments is the main target of our tool: JIS (Java Instrumentation Suite). This paper describes the design and implementation of JIS and highlights some of the main functionalities. Our initial implementation targets the JVM version 1.3 running Jakarta Tomcat v4.0 on top of a Linux parallel platform with a 2.4.16 kernel.
XI JORNADAS DE PARALELISMO—GRANADA, SEPTIEMBRE 2000 89 Instrumentation Environment for Java Threaded Applications
"... Abstract—The rapid maturing process of the Java technology is encouraging users to develope of portable applications using the Java language. As an important part of the definition of the Java language, the use of threads is becoming commonplace when programming this kind of applications. Understand ..."
Abstract
- Add to MetaCart
(Show Context)
Abstract—The rapid maturing process of the Java technology is encouraging users to develope of portable applications using the Java language. As an important part of the definition of the Java language, the use of threads is becoming commonplace when programming this kind of applications. Understanding and tuning threaded applications requires the use of effective tools for dete cting possible performance bottlenecks. Most of the available tools summarize the behavior of the application in a global way offering different metrics that are sufficient to optimize the performance of the application in some cases. However, they do not enable a detailed analysis of the behavior of the application; this requires the use of tools that perform an exhaustive and time-aware tracing at a fine-grain level. This paper presents the Java Instrumentation Suite (JIS), a set of tools designed to instrument Java threaded applications using dynamic code interposition (avoiding the instrumentation and recompilation of the source code and/or the Java Virtual Machine JVM). Our initial implementation targets the JVM version 3.1.1 on top of the SGI Origin2000 parallel platform. The paper describes the design of JIS and highlights some of its main functionalities specifically designed to understand the behavior of Java threaded applications and the JVM itself, and to speed them up.
An Instrumentation Tool for Threaded Java Application Servers
"... Abstract — Rapid development of e-business services has extended the use of application servers on companies. The Java platform has an important presence on this sector because of its portability and development facilities. Java application servers are becoming a key component in these environments, ..."
Abstract
- Add to MetaCart
(Show Context)
Abstract — Rapid development of e-business services has extended the use of application servers on companies. The Java platform has an important presence on this sector because of its portability and development facilities. Java application servers are becoming a key component in these environments, thus the knowledge of these servers behavior requires the use of new tools to overcome the limitations of existing ones in both offered information and semantics of execution. The natural environment for ebusiness applications is composed by medium-range parallel servers executing Java based threaded applications. So, understanding threaded Java application servers on parallel environments is the main target of our tool: JIS (Java Instrumentation Suite). This paper describes the design and implementation of JIS and highlights some of the main functionalities. Our initial implementation targets the JVM version 1.3 running Jakarta Tomcat v4.0 on top of a Linux parallel platform with a 2.4.16 kernel.
