Intel Products updates

26 November, 2004

Intel Trace Collector 5.0, Intel Trace Analyzer 4.0 and Intel MPI Library 1.0 Released.

Intel Cluster Tools assist developers and managers of distributed systems in getting the best application performance.

Industries such as manufacturing, finance, transportation, and energy rely on clusters to manage their extensive data processing and storage needs. High-performance applications running on clusters utilise a Message-Passing Interface (MPI) to facilitate communication between processes.

Intel MPI Library delivers a flexible, multi-fabric enabled, message-passing interface for developers and users of cluster applications. The library enables you to easily test and run your code on a variety of network fabrics.

Intel Trace Collector brings the advantages of event-based tracing to applications in a low-overhead tracing library. It supports MPI, Java, and multi-threaded processes with and without MPI.

Features and Benefits

  • Profiling library records distributed, event-based trace data
  • Low-overhead and compact data representation provides structured trace file format (STF)
  • Completely thread safe to allow tracing of multi-threaded Message Passing Interface (MPI)applications
  • Easy-to-use Application Program Interface (API)
  • Low intrusion instrumentation for MPI, Java, or multi-threaded applications
  • Complements Intel’s offerings designed for developing high-performance software including compilers, libraries, and VTune Performance Analyzers
  • Automatic function profiling supported on all platforms when the GNU Compiler Collection is used to compile C or Fortran source code
  • Global Array programming model allows tracing and performance analysis of applications

Intel Trace Analyzer provides a convenient way to graphically analyze the runtime event traces of Intel Trace Collector, allowing developers to quickly focus on the desired level of detail.

Intel Trace Analyzer provides several graphical displays for visualizing application runtime behavior. The timeline and parallelism display shows perprocess application activities and message passing along a time axis. Statistical displays help developers visualize the analysis of program execution and communication operations. Most displays are available in global and per-process variants. The timeline view can be zoomed and scrolled. Statistics can be restricted to arbitrary portions of the timeline display.

Features and Benefits

  • Display application activities and message-passing along a time axis to help visualize concurrent behavior of parallel applications
  • Focus on the desired level of detail to identify performance hotspots and bottlenecks
  • View a hierarchical display to address display scalability
  • Execution Statistics help analyze subroutine performance and graphical displays
  • Communication metrics and graphical displays help identify communication patterns, parameters, performance and communication hotspots

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