What is Intel Parallel Studio XE?
Deliver faster, scalable, and portable parallel code for high-performance computing (HPC), enterprise, cloud, and AI applications.
Code new advances in software performance
This comprehensive set of development tools makes it easy to create and modernize code with the latest techniques of vectorization, multithreading, multinode parallelism, and memory optimization. It allows software developers C, C++, Fortran and Python:
- Create faster code: Increase scalable application performance on intel's current and future platforms.
- Create code faster: Simplify the process of creating parallel code.
- Get priority support: Connect directly with Intel engineers for sensitive answers to technical questions.
Who needs this product
Technical computing developers: HPC software developers, domain experts, students, and educators.
Enterprise and cloud application developers: software developers, business analysts, and data analysts.
Modernize code for performance, scalability, and portability
- Build applications that scale with enhanced parallel performance on the latest Intel Xeon and Intel Core processors, using the Intel Advanced Vector Extensions 512 (Intel AVX-512) instructions
- Achieve increased scalability and reduce latency with the next generation of the Intel MPI library
- Vectorize and code your code (using OpenMP) to take advantage of the latest SIMD-enabled hardware, including the Intel AVX-512
- Accelerate machine learning by enabling new high-performance Python optimizations with Intel Distribution for Python and the Intel Data Analytics Acceleration Library (Intel DAAL)
- Stay up-to-date with the latest standards and integrated development environments (IDE)
Flexibility for your needs
- Experience a new, more intuitive user interface and improved ceiling line analysis on the Intel VTune amplifier. Perform longer high-level performance analyses with platform profiler view.
- Visualize parallelism using the fast visual prototyping environment in intel advisor's Flow Graph Analyzer component. Use it to interactively create, validate, and visualize parallel algorithms.
- Accelerate data analytics and scientific computing with Intel Distribution for Python, now integrated with Intel Parallel Studio XE.
- Access the latest Intel performance libraries and Intel Distribution for Python via conda, pip, DockerHub, APT GET, and YUM.
System Requirements
Programming languages
- C
- C++
- Fortran
- Python
- Java is supported by the Intel Data Analytics Acceleration Library and the Intel VTune Amplifier, only
- C# is supported only by Intel Advisor and Intel VTune Amplifier
- Google Go is supported only by Intel VTune Amplifier
Development tools and environments
- Compatible with Microsoft, GCC, Intel, and other compilers that follow established language standards
- Microsoft Visual Studio (Windows)
- Eclipse (Linux)
- Xcode (macOS)
Operating systems
