We are pleased to announce the release of Intel® Data Analytics Acceleration Library 2016 Beta! Intel® Data Analytics Acceleration Library is a C++ and Java API library of optimized analytics building blocks for all data analysis stages, from data acquisition to data mining and machine learning. It is a library essential for engineering high performance data application solutions. Click here to see more.
As part of the application readiness efforts for future Intel® Xeon® processors and Intel® Xeon Phi™ coprocessors (code named Knights Landing), developers are interested in improving two key aspects of their workloads:
- Vectorization/code generation
- Thread parallelism
This article mainly talks about vectorization/code generation and lists some helpful tools and resources for thread parallelism.
Оптимизация? Конечно, каждый сталкивался с данной задачей при разработке своих, сколь-нибудь значительных, требующих определённых вычислений, приложений. При этом способов оптимизировать код существует огромное множество, и, как следствие, различных путей сделать это в автоматическом режиме с помощью опций компилятора. Вот здесь и возникает проблема – как выбрать то, что нужно нам и не запутаться?
I discovered a source of slowdown in my program, due to the usage of std::array. To gain a better understanding of what was going on, I have used my own implementation of std::array, and the slowdown disappeared. Unfortunately, I can't show you the program I am working on due to some non disclosure agreement. But I've managed to track down the problem and put it in a simple file.
When you compile the file shown below with
I just installed the Intel® Parallel Studio XE Professional Edition for C++ Linux* (evaluation version) for my Ubuntu 14.04.2 machine running on a "Intel Corporation Xeon E3-1200 Processor Family" processor.
I don't understand if this is a 32-bit compiler or not. I'm worried about this since during the installation a message reporting the absence of some 32-bit libraries appears on the console.
Since I'm interested to have the best performances (running time) of my code, does a 64-bit specific version exist for my machine?
volatile __m128 a, b;
a = b;
produces this error
$ /opt/intel/composerxe/bin/icpc -c test.cc
test.cc(7): error: class "__m128" has no suitable assignment operator
a = b;
compilation aborted for test.cc (code 2)
when compiled with icpc. There is no error if the variables are not volatile. There is no error with icc or gcc or g++.
I am trying to compile chromium 41.0.2272.64 (64 bit) using icc on Linux. icpc --version shows
icpc (ICC) 15.0.2 20150121
Copyright (C) 1985-2015 Intel Corporation. All rights reserved.
I compile the whole thing with -ipo option on. It compiles obj/content/browser/gpu/content_browser.gpu_process_host.o as usual with the following command (some unrelated stuff is skipped, and I know that some options shown below are not supported by icc or duplicated):
I'm using aramadillo (http://arma.sourceforge.net) to elegantly manipulate arrays. All was working well till the last version (4.650.2).
Now it fails compiling with icpc (15.0.1, Linux) pretending there is a resolution problem. The snippet code still compile fine with g++(4.9.2) and also clang (3.5) showing no error or warning.
I've filed a bug to armadillo team, but they told me it is an Intel issue.
- Página 1