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Articles and news on parallel programming and code modernization

The OpenMP API Celebrates 20 Years of Success

OpenMP is a good example of how hardware and software vendors, researchers, and academia, volunteering to work together, can successfully design a standard that benefits the entire developer community. Today, most software vendors track OpenMP advances closely and have implemented the latest API features in their compilers and tools. With OpenMP, application portability is assured across the latest multicore systems, including Intel Xeon Phi processors.

Transcoding for Optimal Video Consumption

Video streams may constructed using various standards, which contain information such as resolution, frame rate, color depth, etc. It is the job of the transcoder to take in one format and produce another format that would then be used downstream. While an application could be written that does the transformation, optimizing the application requires the expertise of the hardware manufacturer.

C++ Parallel STL Introduced in Intel Parallel Studio XE 2018 Beta

Parallel STL now makes it possible to transform existing sequential C++ code to take advantage of the threading and vectorization capabilities of modern hardware architectures. It does this by extending the C++ Standard Template Library with an execution policy argument that specifies the degree of threading and vectorization for each algorithm used.

Intel Processors for Machine Learning

Machine Learning is a hot topic for many industries and is showing tremendous promise to change how we use systems. From design and manufacturing to searching for cures for diseases, machine learning can be a great disrupter, when implemented to take advantage of the latest processors.

Intel Advisor Roofline Analysis Finds New Opportunities for Optimizing Application Performance

Intel Advisor, an integral part of Intel Parallel Studio XE 2017, can help identify portions of code that could be good candidates for parallelization (both vectorization and threading). It can also help determine when it might not be appropriate to parallelize a section of code, depending on the platform, processor, and configuration it’s running on. Intel Advisor Roofline Analysis reveals the gap between an application’s performance and its expected performance.

Intel® Graphics Performance Analyzer for Faster Graphics Performance

“Just as developers need tools to understand the performance of a CPU intensive application in order to modify the code for higher performance, so do those that develop interactive 3D computer graphics applications. An excellent tool for t this purpose is the Intel Graphics Performance Analyzer set. This tool, which is free to download, can help the developer understand at a very low level how the application is performing, from a number of aspects.”

Intel® VTune™ Amplifier Turns Raw Profiling Data Into Performance Insights

Discovering where the performance bottlenecks are and knowing what to do about it can be a mysterious and complex art, needing some very sophisticated performance analysis tools for success. That’s where Intel® VTune™ Amplifier XE 2017, part of Intel Parallel Studio XE, comes in.

Intel Xeon Phi Cluster Mode Programming (and interactions with memory modes) in a Nutshell

In previous articles (1 and 2) here on insideHPC, James Reinders described “Intel Xeon Phi processor Programming in a Nutshell” for Intel’s 72-core processor. In this special guest feature, he discusses cluster modes and the interaction of the memory modes with these cluster modes.

Intel MKL and Intel TBB Working Together for Performance

When used in a TBB environment, Intel has demonstrated a many-fold performance improvement over the same parallelized code using Intel MKL in an OpenMP environment. Intel TBB-enabled Intel MKL is ideal when there is heavy threading in the Intel TBB application. Intel TBB-enabled Intel MKL shows solid performance improvements through better interoperability with other parts of the workload.

Creating Applications with the Intel Computer Vision SDK

“In order for developers to be able to focus on their application, a Vision Algorithm Designer application is included in the Intel Computer Vision SDK. This gives users a drag and drop interface that allows them to create new applications on the fly. Large and complex workflows can be modelled visually which takes the guesswork out of bringing together many different functions. In addition, customized code can be added to the workflows.”