Intel Parallel Studio 2018: Modernize Your Code

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As new and more capable hardware gets introduced, it is important that developers modify their applications to take advantage of the newer hardware. The range of servers available to end users today includes workstations to older servers to brand new servers to running the application in the cloud. Taking maximum advantage of all of these systems requires that the application be written in a manner where all of the different architectures can be utilized to their fullest.

Intel Parallel Studio 2018 has been designed to recognize the latest CPU architectures including the Intel Xeon Scalable processor family and the Intel Xeon Phi processors in order to get maximum performance from their differing architectures, yet remain binary compatible. With the recent introduction of the Intel  AVX-512 vectorization instructions, application developers can more easily take advantage of these new instructions when developing and compiling with the Intel Parallel Studio 2018.

Compilers continue to evolve with new standards and it is important for portability reasons that a compiler suite that is used remains up to date.  For example, one of the main languages for large scale simulation applications is Fortran.  Even though the roots of Fortran go back about 50 years, the language continues to evolve and compilers need to remain current.

Python has become an increasingly popular language for data analytics, so it is important for those developers that use Python that it remains up to date with numerical optimizations such as NumPy and SciPy.

For developers, underlying mathematical libraries that are highly vectorized and parallelized are critical for the application performance. Intel Parallel Studio 2018 contains updated versions of the Intel Math Kernel Library (Intel MKL) which contain, among other enhancements, new routines that have been vectorized in order to take advantage of the latest CPUs.

The Intel Integrated Performance Primitives (Intel PPP) are low level building blocks for areas such as image, signal, and data processing (data compression/decompression and cryptography) applications. By providing highly tuned building blocks, developers can focus on the features of the application and be confident that the low level routines will take advantage of the  underlying hardware architecture.

[clickToTweet tweet=”Intel Parallel Studio 2018 contains many new features. Check some out.” quote=”Intel Parallel Studio 2018 contains many new features. Check some out.”]Intel Parallel Studio 2018 include tools that help developers to analyzed, tune and debug applications that run in parallel. The Intel Advisor, Intel VTune Amplifier and Intel Inspector allow developers to understand bottlenecks and where further tuning of an application may help. Also, these products assist developers in understanding why certain areas of the code are not running optimally, and gives the developers ideas on how to improve vectorization and parallelization.

HPC applications typically run over a number of servers.  When utilizing a cluster of servers, tremendous performance increases are possible, but managing the software that is running a different systems can be challenging. Intel Parallel Studio 2018 Cluster Edition can assist the developer in creating applications that run over a number of systems. This is especially important as applications are moved into the cloud where many, many systems are available for use. By utilizing the Message Passing Interface (MPI) as well as OpenMP and OpenSHMEM, applications can run faster and more optimally on the cluster.

Get a free download of Intel® Parallel Studio XE