Xe 2017 — Intel Parallel Studio
Intel Parallel Studio XE 2017 was a comprehensive software development suite designed to help developers build faster, more efficient code for C++, Fortran, and Python, with a focus on parallel computing and vectorization. While it has been succeeded by the Intel oneAPI Toolkits, this version remains significant for legacy systems and specific hardware like the Intel Xeon Phi. 1. Editions and Core Components
The suite was offered in three main editions, each building on the previous one's capabilities:
Composer Edition: Focuses on building code. Includes Intel C++ and Fortran Compilers, Intel Math Kernel Library (MKL), Intel Performance Primitives (IPP), and Intel Threading Building Blocks (TBB).
Professional Edition: Focuses on analysis. Adds Intel VTune Amplifier XE (performance profiling), Intel Inspector (memory/thread error checking), and Intel Advisor (vectorization/threading design). intel parallel studio xe 2017
Cluster Edition: Focuses on distributed computing. Adds Intel MPI Library, Intel Trace Analyzer and Collector, and Cluster Checker. 2. System Requirements Intel® Parallel StudIo Xe 2017
* 1 Introduction. Intel® Parallel Studio XE has three editions: Composer Edition, Professional Edition, and Cluster Edition. ... * Download Intel Parallel Studio XE 2017 and student license
Licensing and Availability (Historical Context)
Note: As of 2023-2024, Intel has discontinued sales of Parallel Studio XE in favor of the free, open-source Intel oneAPI Base Toolkit. However, support for version 2017 ended long ago. Intel Parallel Studio XE 2017 was a comprehensive
In 2017, Intel offered:
- Professional Edition: Compilers + MKL + TBB + IPP (for single-node optimization).
- Cluster Edition: Adds MPI library, VTune, and Inspector (for HPC clusters).
- Academic Licensing: Free or heavily discounted for students and researchers.
Today, you can only legally access Intel Parallel Studio XE 2017 if you have an existing perpetual license or access a legacy software repository through a university partner.
Step 3: Add SIMD Pragmas
For loops that the compiler is hesitant to vectorize, force it: Professional Edition: Compilers + MKL + TBB +
#pragma simd
for(int i=0; i<1024; i++) a[i] *= b[i];
When to Upgrade:
- If you need support for Windows 11 or Ubuntu 22.04+ (the 2017 libraries may have glibc compatibility issues).
- If you are targeting Intel GPUs or heterogeneous computing (CPU+GPU+FPGA)—2017 does not support this.
- If you want modern C++17/20 features (2017 only fully supports C++14).
Licensing and Availability (Historical Context)
It is important to note that Intel Parallel Studio XE 2017 was a commercial product. For academic and commercial users, the licensing was tiered:
- Professional Edition: Compilers + MKL + TBB.
- Cluster Edition: Added MPI (Message Passing Interface) for distributed computing across thousands of nodes.
There was a free (self-support) option for students and open-source contributors, but production use required a subscription costing thousands of dollars per developer. Today, Intel has moved to a more permissive, free-for-developer model via Intel oneAPI, but Parallel Studio XE 2017 remains a paid legacy product for those who need long-term support.
6. Integration with Visual Studio
One of the suite’s strengths was deep integration with Visual Studio 2012–2015:
- Project property pages for Intel compiler options (optimization, OpenMP, vectorization).
- Automatic replacement of Microsoft C++ compiler with Intel’s.
- In-editor hints for vectorization issues.
- Launch VTune, Inspector, or Trace Analyzer directly from the VS menu.
Basic Compilation Example (C++):
Without optimization:
icc -o myapp myapp.cpp
With Intel Parallel Studio magic:
icc -O3 -xHost -ipo -qopenmp -mkl=parallel -o myapp_fast myapp.cpp
-O3: Aggressive optimization-xHost: Optimize for the CPU you are compiling on-ipo: Interprocedural optimization across files-qopenmp: Enable parallel regions using OpenMP-mkl=parallel: Link Intel MKL with automatic threading