Multithreading in intel IPP

[Assasin boy]

the threading can make the algorithms fully extensible , but it can also bring unpredictable results or adversely affect performance . The updated by multiple threads of the same global variable can cause data loss , and poor synchronization between threads can lead to a parallelized version of an application that is far less efficient than the sequential version it replaces. Can anybody know more about the Multithreading in intel IPP ? Please suggest.

[SUpER CoP]

When multiple threads arrive at a situation where everyone expects the other, it follows a stalemate between (" deadlock " or Deadlock) , which causes an infinite loop executing in the application (hang condition) . Figure 2 illustrates this situation, where the combination locks (dreadlocks) applied A and B by threads 1 and 2 prevents the two threads to continue , thereby blocking the application . In more complex situations of real bugs like this can occur under very specific conditions , which makes them very difficult to predict and reproduce.

[JAMES_911]

Threading libraries are beginning to appear on the market . They offer pre- parallelized functions that provide the programmer having to go into the details of their operation. The Intel Threading Building Blocks is a runtime library as well (Runtime) C + + based models (templates) , built to simplify the porting of data structures and algorithms to sequential current parallel code performance. The resulting application can achieve performance , scalability, reliability and excellent , with Windows, Linux and Mac OS , while automatically detecting the number of cores available and therefore is sizing.

[Omari]

With models of Intel Threading Building Blocks , applications can use algorithms other Intel libraries . The primitives of the Intel IPP library have been designed to accelerate multimedia applications , communication and many others. The library offers Intel MKL for its routines for scientific applications, and financial engineering that require maximum performance . They are both successful , the test errors parallelization (threadsafe) and involve a number of important functions in parallel to assist the expression of parallelism in applications.

[lorenz]

During the implementation of parallel software requires a balance between adaptation vis - a-vis the future equipment and the need to move smoothly planning software development. It is difficult to make good software multithreading , which is an excellent argument in favor of a parallelism that is minimally intrusive . It is better to start with the simplest modifications to Only go to the more complicated then , depending on performance requirements . As the industry continues to mature , APIs and tools for implementation of parallel gain in power and software vendors should position themselves now to benefit from these advances as and when they arrive.

[xmnboy]

See the IPP forum and KB for some detailed info regarding IPP and multi-threading. In particular, these two articles should help:

http://software.intel.com/en-us/blog...y-part-1-of-3/

http://software.intel.com/en-us/arti...l-ipp-library/

In general, for "data parallel" applications, the threading built into the IPP library can help your application. To get maximum utility from threading, you should do it at a higher level, within your application.

[Santy]

Multi- threaded application support , including the new 11.0 , OpenMP 3.0 ( date and a new task- parallelism ) , and auto- parallelization for threading a simple and effective. Auto -vectorization parallelizes code to use the Streaming SIMD Extensions ( SSE ) Instruction Set Architecture (SSE , SSE2, SSE3, SSE4 and SSSE3 ) of our latest processors. High Performance Parallel Optimizer ( HPO ) restructures and optimizes loops to ensure that the code auto -vectorization , OpenMP , or auto - parallelization make better use of cache and memory accesses , SIMD instruction sets , and of multiple cores . Compile a single pass , improving the compilation and produces more reliable code . Interprocedural Optimization (IPO ) dramatically improves performance of small and medium enterprises of functions, especially in programs containing appeals within loops . IPOs Analysis provides information on vulnerabilities and coding errors.

[Aashirya]

Even if the module is not ready yet, we were treated to a short presentation of how it should operate and what to bring. The idea is , by combining the available means of Inspector and Amplifier , allow for rapid prototyping that would give a parallelization of a code.We start with an existing program that does not function in parallel. A first run using functions Amplifier identifies bottlenecks . Then added the code annotations that indicates that parallelization is considered to a certain place. A new implementation of the code then shows , through the functions of Inspector , what are the synchronization problems that cause this parallelization , and new annotations can be corrected.

[Sudhamay]

This compiler, which has a good reputation in terms of optimization , especially in science, is the first brick Composer . Based on an EDG front end , it is bug - compatible with Microsoft, which is needed to replace it on the fly , which is a goal of Parallel Studio. In terms of interface , a simple option in a menu to switch a project from one compiler to another . Among the most interesting features announced.

[FFCookie]

The ability to automatically parallelize some code , or automatically replace certain patterns of code by a call to an optimized library . I do not know to what extent these functions, impressive for practice, involved in the everyday life of a real program. The management phase advance of lambdas in C + +0 x It may be noted that these also possess VC10 lambdas for the same reasons : Their presence can greatly reduce the code needed to write parallel code.