#ParallelwareAnalyzer

La empresa @Appentra, impulsada por investigadores del @citicresearch, anuncia el lanzamiento oficial de #ParallelwareAnalyzer 1.0 👇

#SC19, the exhibit floor is open!📢Come to our booth #699F to learn more about the Appentra’s unique technology for static code analysis specialized in parallelism. #ParallelwareAnalyzer #ParallelwareTrainer #Parallelware #HPC #HPCisNow @Supercomputing

Are you at the #4YFN? Stop by the Agora stand DayOne - #Caixabank, we will pitch at 17:15h. Drop by and discover #ParallelwareAnalyzer the first static code analyzer that is designed specifically to boost the performance of C/C++ code. #MWC22 @4YFN_MWC @Emprendedor_XXI

#CES2021 is fast approaching! Schedule a meeting with Appentra to learn more about our products: #ParallelwareAnalyzer #ParallelwareTrainer #MakeCodeParallel #HPC @CES

Introducing a catalog of defects and recommendations for parallel code. #HPC #parallelprogramming #ParallelwareAnalyzer #parallelcode

Appentra presented #ParallelwareAnalyzer this morning at the finals of the 5th China (Shenzhen) Innovation & Entrepreneurship International Competition Spain Division. Now it's time to see the other great selected projects. Good luck to you all.🤞

Today we have started the virtual #CESGAHACK5 that will last all week. In the photo, @ManuelArenaz remembering the previous editions😊 #ParallelwareAnalyzer #ParallelwareTrainer #HPC

📌 We're excited to announce the new release of #ParallelwareAnalyzer 0.18 The new structured report provides actionable insights through optimization reports that help ensure best practices to speedup the code through parallel computing. #codeperformance

We are pleased to announce #ParallelwareAnalyzer 0.14. Available for Linux and now also for Windows and MacOS. Join the Early Access Program for free. 👩‍💻

Parallelware tools hands-on tutorial at @BSC_CNS PATC Course on Heterogeneous Programming on GPUs with MPI & OmpSs. #ParallelwareAnalyzer #HPC #Training #parallelprogramming #checks #recommendations

Success Story💡on how the #parallel version generated by #ParallelwareAnalyzer matched the parallelization performance done by the #HACCmk developers. HACC micro kernel simulates the evolution of the Universe from its early times until the present.🌌

Starting the #ParallelwareAnalyzer tutorial at the 7th KAUST-NVIDIA Workshop on Accelerating Scientific Applications using #GPUs 👩‍💻 @KAUST_News @kaust_corelabs

Take a look at the #ParallelwareAnalyzer NPB Quickstart post that walks you through the different Parallelware Analyzer tools to analyze and parallelize the C version of NAS Parallel Benchmarks (NPB). #parallelprogramming #HPC

📁Clone the Appentra’s performance-demos repository and start experimenting to see how #ParallelwareAnalyzer helps you increase the performance of your code.🔗 #HPC #codeperformance

We are pleased to announce the availability of #ParallelwareAnalyzer 0.16 👉This release features a redesigned pwloops tool and new checks to improve the detection of data races and #GPU data movement issues. 🔗Take a look at this and other new features

.@Appentra lanza a versión 0.16 de #ParallelwareAnalyzer, unha serie de ferramentas de liña de comandos destinadas a axudar aos desenvolvedores de #software a "construír software paralelo de mellor calidade en menos tempo". ➡ vía @codigocero

In this Quickstart post we show how to analyze and parallelize the C version of NAS Parallel Benchmarks (NPB) in 18 steps. Take a look and download it.🔽 #ParallelwareAnalyzer

We have used the #GROMACS project to benchmark how #ParallelwareAnalyzer behaves for large code bases. 📋 This is the result of the case study: #HPC #codeperformance #benchmark

The Parallelware technology is now compatible with #OpenPOWER systems. #ParallelwareTrainer and #ParallelwareAnalyzer run on workstations and supercomputers equipped with POWER8 and POWER9 multi-core processors. @OpenPOWERorg #HPC

How to ensure that the parallel code is free of defects and complies with best practices for the development of parallel code? Take a look at this post with real OpenMP example>> #HPC #parallelprogramming #ParallelwareAnalyzer