Parallelware Analyzer provides a set of tools covering the most challenging steps of your parallel development workflow. Join the Parallelware Analyzer Early Access Program to get access to the tools for free. In this post, we present the pwcheck tool which provides a static code analyzer to ensure that your code is defect-free and compliant […]
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Fixing defects in parallel code: an OpenMP example
Appentra’s Parallelware Trainer at NERSC Workshop
The National Energy Research Scientific Computing Center (NERSC) will host on October 17th, 2019 a one-day training event on using Appentra’s Parallelware Trainer tool to learn how to use OpenMP and OpenACC directives to develop code for Graphical Processing Units (GPUs). The objective is to improve the learning experience of NERSC users to program the […]
Inside HPC | Appentra announces Early Access Program for Parallelware Analyzer
Inside HPC | Appentra Releases Parallelware Trainer 1.3
HPCwire | Parallelware Trainer 1.3 Released by Appentra
Parallelware Trainer 1.3 released
We’re happy to announce the release of Parallelware Trainer 1.3 which now supports the detection of defects and recommendations for concurrency and parallelism. We expect this new feature to further improve the learning process by providing feedback about code issues right in the integrated editor. Parallelware Trainer provides an enhanced interactive learning environment, including provision […]
La Voz de Galicia | Tecnología a medida de la medicina, las aguas profundas o la automoción
Enabling fast user selection in 5G networks through a GPU-enabled maxvol algorithm: case study
In March 2019, KAUST Supercomputing Core Laboratory (KSL) in collaboration with NVIDIA organized a GPU hackathon to help users of their systems port scientific code to GPUs. In order to innovate and improve their training outcomes, the participants had the opportunity to use Appentra’s unique approach to GPU training: focusing on identifying patterns and then […]