Intel Parallel Advisor - 소프트웨어카탈로그 - 국내 최대 큐브릿지 IT 전문 쇼핑몰

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상담시간 평일: 08:30~05:50 , 점심: 11:40~13:00, 휴일: 토·일·공휴일
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입금계좌안내

Intel Parallel Advisor

Intel Parallel Advisor
Innovative threading assistant
모델명 :

제조사 : Intel Software Brand Shop

제품번호 : 8706

유사 기능 제품: 개발도구/컴파일러; 실버라이트 개발 도구/애드인

P#		OS	언어	제품구분	버전	소비자가	공급가	견적	주문
01		Win	영문		2011	575,300	573,100

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Innovative threading assistant

Intel® Parallel Advisor 2011 simplifies threading your code by identifying those areas in your serial and parallel applications where parallelism would have the greatest impact.

동일계열 제품

Intel Parallel Advisor analyzes the executing serial program as developers work through the methodology. Intel Parallel Advisor is part of Intel® Parallel Studio 2011, the ultimate all-in-one performance toolkit for serial and parallel C/C++ applications.

*Survey
Focus on the hot call trees and loops as locations to experiment with parallelism. Developers can drill into the source code.

Benefit: Provides steps for task-oriented parallelism and targets coarse-grain parallelism.

*Annotations
Insert Intel Parallel Advisor annotations into sources to describe parallel experiments. For example, you can experiment with parallelism by modeling the hot calls and loops. The survey is identified with Intel Parallel Advisor annotations.

Benefit: Allows developers to explore parallel opportunities, and analyzes outcomes.

*Check Suitability
Evaluate the performance of the parallel experiment by displaying the performance projection for each parallel site and how each site's performance impacts the entire program.

Benefit: Clarifies the performance impact and implication of the parallel experiments.

*Correctness
Identify data races or deadlocks errors found in the experiment. You can evaluate the data-sharing problems that prevent correct parallel execution.

Benefit: Finds and resolve conflicts before parallelism is applied, including race conditions and locks. Also reduces debugging problems by defining safe and solid paths to parallelism.

*Summary Report
Quickly identify the parallel experiments to focus on based on projected performance gains and the number of correctness problems.

Benefit: Assesses the application and identifies where performance gains are possible.

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