icc

Considering that you're trying solely to optimize for speed, what are good heuristics for deciding whether to inline a function or not? Obviously code size should be important, but are there any other factors typically used when (say) gcc or icc is determining whether to inline a function call? Has there been any significant academic work in the area? Wikipedia has a few paragraphs about this, with some links at the bottom: In addition to memory size and cache issues, another consideration is register pressure . From the compiler's point of view "the added variables from the inlined procedure

I have a piece of C++ code for which I am not sure whether it is correct or not. Consider the following code. #include <memory> #include <vector> #include <map> using namespace std; int main(int argc, char* argv[]) { vector<map<int, unique_ptr<int>>> v; v.resize(5); return EXIT_SUCCESS; } The GCC compiles this code without a problem. The Intel compiler (version 19), however, stops with an error: /usr/local/ [...] /include/c++/7.3.0/ext/new_allocator.h(136): error: function "std::pair<_T1, _T2>::pair(const std::pair<_T1, _T2> &) [with _T1=const int, _T2=std::unique_ptr<int, std::default_delete

The following testing code does correctly in VS either with debug or release, and also in GCC. It also does correctly for ICC with debug, but not when optimization enabled ( -O2 ). #include <cstdio> class tClassA{ public: int m_first, m_last; tClassA() : m_first(0), m_last(0) {} ~tClassA() {} bool isEmpty() const {return (m_first == m_last);} void updateFirst() {m_first = m_first + 1;} void updateLast() {m_last = m_last + 1;} void doSomething() {printf("should not reach here\r\n");} }; int main() { tClassA q; while(true) { while(q.isEmpty()) ; q.doSomething(); } return 1; } It is supposed to

First, I would like to say I'm not an image processing specialist. I would like to convert image colorspace from one to another, and change icc color profile at the same time. I managed to do it using JMagick (the ImageMagick Java port), but no way in pure Java (even using JAI). Use ColorConvertOp , this will do the color space conversion. You have several options to set a icc color profile. Either you use a predefined profile by using getInstance with the correct color space constant or you can specify a file, which contains a profile. Here is an example: ICC_Profile ip = ICC_Profile

I am trying to implement SSE vectorization on a piece of code for which I need my 1D array to be 16 byte memory aligned. However, I have tried several ways to allocate 16byte memory aligned data but it ends up being 4byte memory aligned. I have to work with the Intel icc compiler. This is a sample code I am testing with: #include <stdio.h> #include <stdlib.h> void error(char *str) { printf("Error:%s\n",str); exit(-1); } int main() { int i; //float *A=NULL; float *A = (float*) memalign(16,20*sizeof(float)); //align // if (posix_memalign((void **)&A, 16, 20*sizeof(void*)) != 0) // error("Cannot

基于RedHatEnterpriseLinux V7（RHEL7）下SPEC CPU 2006环境搭建以及测试流程（之一）——介绍、安装准备、安装、config文件以及运行脚本介绍 其他 2018-05-30 13:27:18 阅读次数: 0 https://www.codetd.com/article/1137423 《版权声明：本文为博主原创文章，未经博主允许不得转载》 本次利用SPECCPU2006测试工具来进行Intel CPU Xeon E7-**** v4的测试以及调优，计划在机器I840-G**测试。本次测试主要从硬件调优和操作系统调优两个方面进行。经过最终的测试，SPECint_rate_base和SPECfp_rate_base结果均超过Intel的预期。其中调优过程尤为重要，为后续继续的测试达下基础。下面记录中间的调优过程。 SPECCPU2006简介 SPECCPU2006安装和使用 config文件以及运行脚本介绍 测试准备以及基准值测试 硬件调优过程 OS调优过程 结果提交过程问题 FAQ 自动化测试脚本 Numa、memory interleaving、cgroup等相关内容学习 常用监控工具使用，最好写成自动化脚本时称log文件，可以用来观察。 top、sar、vmstat、oprofile、重拾pcp功能等 一、SPECCPU2006简介

I'm creating a Photoshop Plug In on OS X (Basically a Bundle / DyLib). I'm using Intel Compiler and uses OpenMP by linking against OpenMP ( libiomp5 ). When I use Static Linking it crashes Photoshop (Only on OS X, on Windows it works). So I tried dynamic linking. The host, Photoshop, uses by itself libiomp5.dylib which is available on its Framework folder. So, on Xcode I set on the Linking Part the Runpath Search Paths to @executable_path/../Frameworks/ yet when I try to load it on Photoshop it won't work. I also tried to set Runpath Search Paths to Intel Run Time Redistributable Libraries

I have recently downloaded and installed the Intel C++ compiler, Composer XE 2013, for Linux which is free to use for non-commercial development. http://software.intel.com/en-us/non-commercial-software-development I'm running on a ivy bridge system (which has AVX). I have two versions of a function which do the same thing. One does not use SSE/AVX. The other version uses AVX. In GCC the AVX code is about four times faster than the scalar code. However, with the Intel C++ compiler the performance is much worse. With GCC I compile like this gcc m6.cpp -o m6_gcc -O3 -mavx -fopenmp -Wall -pedantic

Intel's intrinsics guide lists a number of intrinsics for the AVX-512 K* mask instructions, but there seem to be a few missing: KSHIFT{L/R} KADD KTEST The Intel developer manual claims that intrinsics are not necessary as they are auto generated by the compiler. How does one do this though? If it means that __mmask* types can be treated as regular integers, it would make a lot of sense, but testing something like mask << 4 seems to cause the compiler to move the mask to a regular register, shift it, then move back to a mask. This was tested using Godbolt 's latest GCC and ICC with -O2

Does Intel C++ compiler and/or GCC support the following intrinsics, like MSVC does since 2012 / 2013? int _rdrand16_step(uint16_t*); int _rdrand32_step(uint32_t*); int _rdrand64_step(uint64_t*); int _rdseed16_step(uint16_t*); int _rdseed32_step(uint32_t*); int _rdseed64_step(uint64_t*); And if these intrinsics are supported, since which version are they supported (with compile-time-constant please)? Both GCC and Intel compiler support them. GCC support was introduced at the end of 2010. They require the header <immintrin.h> . GCC support has been present since at least version 4.6, but there