功能與優(yōu)點

• 界面與顯示
  

• 改善的“時間線視圖”與“并行顯示”畫面

• 先進的圖形用戶界面

• 顯示畫面縮放功能

• 詳細視圖與聚集視圖

• 容易使用

• 統(tǒng)計信息跟蹤
  

• 通訊統(tǒng)計信息

• 執(zhí)行統(tǒng)計信息

• 評測庫

• 可伸縮性
  

• 開銷極低

• 線程安全

新增功能

• “英特爾® 跟蹤分析器與采集器”的新增功能包括：
  

• 先進的圖形用戶界面：友好的用戶界面、高度的可縮放性、支持采用結(jié)構(gòu)化跟蹤文件 (STF) 格式的跟蹤數(shù)據(jù)、可在 Linux* 與 Windows* 上運行

• 聚集與過濾：運行時行為的詳細視圖可以按函數(shù)或進程進行分組

• MPI 通訊程序：顯示任意時間間隔內(nèi) MPI 的通訊統(tǒng)計信息

• 故障保護跟蹤：利用死鎖檢測改善了處理過早終止應(yīng)用程序的功能

• 英特爾® MPI 庫接口：支持跟蹤內(nèi)部 MPI 狀態(tài)

• 對 MPI-IO、ROMIO 的支持：擴展了對 MPI-2 標準并行文件 I/O 的支持

性能

• 對于群集系統(tǒng)上的并行應(yīng)用程序開發(fā)，“英特爾跟蹤分析器與采集器”是一套強大的工具，可幫助了解 MPI 應(yīng)用程序行為，并實現(xiàn)極高的執(zhí)行性能。
  

• 提高性能

• 以可視化方式顯示并幫助了解并行應(yīng)用程序行為

• 評估評測統(tǒng)計信息與負載平衡

• 分析子例程或代碼塊的性能

• 了解通訊模式、參數(shù)以及性能數(shù)據(jù)

• 確定通訊熱點

• 縮短解決問題的時間并提高應(yīng)用程序效率

兼容性
“英特爾跟蹤分析器與采集器”支持基于英特爾® 體系結(jié)構(gòu)的群集系統(tǒng)，并且同現(xiàn)行標準保持高度兼容。

• 一舉多得的投資
  

• Red Hat Enterprise Linux* 3.0 或 4.0

• SuSE Linux Enterprise Server* 9

• SGI Altix*

• 支持采用以下操作系統(tǒng)且基于英特爾® 體系結(jié)構(gòu)的群集系統(tǒng)：
  

• 英特爾® 編譯器與 GNU 編譯器

• 英特爾® MPI 庫

• MPICH（以及兼容的衍生品）

• LAM/MPI

• SGI 消息傳遞工具包

• 備注：“英特爾跟蹤分析器與采集器”可以同其它的英特爾® 群集工具協(xié)同工作。為幫助充分利用您在開發(fā)工具上所作的投資，捆綁式的英特爾® 群集工具包不僅包含所有的英特爾® 群集軟件開發(fā)解決方案，同時還包含“英特爾® MPI 基準測試”。

Why Intel Trace Analyzer and Collector?

Analyze MPI performance. Speed up parallel application runs. Locate hotspots and bottlenecks. Compare trace files with graphics providing extensively detailed analysis and aligned timelines.

• Supported on Linux* and Microsoft* Windows* (Windows Compute Cluster Server* 2003, Windows XP and Windows Server* 2003)
• Intuitive full color customizable GUI with many drill down view options
• Highly scalable with low overhead and efficient memory usage
• Easy run-time loading - or instrument an MPI application executable
• MPI Correctness Checking Library detects many types of errors in communication
• Integrated online help
• Easy installation and full documentation
• Full tracing and/or light-weight statistics gathering

Many features, many options, major performance improvements.

• PIN-based binary instrumentation
• Runtime behavior displayed by function, process, thread, timelines or cluster or node
• Multiple types of filtering (functions, processes, messages) and aggregation
• Performance counter data recording can be displayed as timeline
• Trace data is cached to reduce runtime overhead and memory consumption
• Traces multi-threaded MPI applications for event-based tracing to non-MPI applications
• Fail safe tracing
• Support for MPI-1, SHMEM, MPI-IO, ROMIO
• Distributed memory checking with the MPI Correctness checking library

Trace Collector

• Automated MPI tracing and MPI Correctness Checking
• Generic distributed (non-MPI) and single process tracing
• Thread level tracing with traces created even if the application crashes
• HPM data collection (PAPI, rusage, OS-counters)
• Configurable tracefile parameters
• Feature disabling/enabling
• Tuning parameters
• Distributed Memory checking with Valgrind*
• Binary runtime instrumentation
• Compiler instrumentation
  • Icc/ifort/icpc -tcollect
  • Gcc/g++ -finstrument-functions
• API: source code instrumentation (counter, function, message and collective operation logging)

Trace Analyzer

• Event, Quantitative, Qualitative, and Counter Timelines
• Flexible message and collective operation Profiles
• Function Profile (call graph, call tree, flat and load balance)
• Detailed comparison (of 2 traces)
• Multi-level source code visualization with a full text browser
• Flexible and powerful event tagging and filtering
• Hierarchical grouping and aggregation across function or processes data
• Large set of configuration parameters per chart
• Export profiling data as text; export charts to graphics or printer
• Command line interface

MPI Checking

Included in Intel Trace Analyzer and Collector is a unique MPI correctness checker to detect deadlocks, data corruption, or errors with MPI parameters, data types, buffers, communicators, point-to-point messages and collective operations. By providing checks at run-time, and reporting the errors as they are detected, the debugging process is greatly expedited. The correctness checker also allows debugger breakpoints to help in-place analysis but has a small enough footprint to allow use during production runs. The true benefit of the Intel Trace Analyzer and Collector Correctness Checker is the potential to scale to extremely large systems and the ability to detect errors even among a large number of processes. The checker can be set to view deadlocks regardless of fabric type.

Instrumentation and Tracing

Intel Trace Analyzer and Collector specializes in low intrusion binary instrumentation. It can create and add this instrumentation to existing statically and dynamically linked binary executables to allow automatic monitoring of MPI as well as function entry and exit points. This includes the capability of tracing and recording performance data from parallel threads in C, C++ and Fortran.

Intel Trace Analyzer and Collector support both MPI applications and distributed non-MPI applications in C, C++, and Fortran. For applications running with Intel® MPI Library this includes tracing of internal MPI states.

Technical Support

With the purchase of Intel® Software Development Products, you will receive one year of technical support and product updates from Intel® Premier Support, our interactive issue management and communication Web site. This premium support service allows you to submit questions, download product updates, and access technical and application notes, and other documentation.

System Requirements