Appentra is pleased to announce the appointment of Harry Dehaly as Head of Global Sales and Marketing, based in Boston. Harry has over 30 years of experience in Sales, Marketing and Business development, with a proven track record in meeting and exceeding sales targets across multiple industry verticals and geographies with creation and execution of […]
News
Parallelware Analyzer 0.19 released
We are pleased to announce a new public release of Parallelware Analyzer, the first static code analyzer specializing in performance. This version 0.19 introduces two new analyses, one comparing the vectorization capabilities of compilers present in the system and another one focused on functions, as well as significant filtering improvements to enhance the user experience. […]
Parallelware Analyzer 0.18 released
We are excited to announce a new public release of Parallelware Analyzer, the first static code analyzer specializing in performance. This version 0.18 features a new user experience designed to help you boost the performance of your code. We have redesigned the entry point of Parallelware Analyzer so that you get, right from the first […]
Parallelware Analyzer 0.17 released
We are pleased to announce the availability of Parallelware Analyzer 0.17 which includes many new exciting features. New vectorization support introduces detection of opportunities for vectorization and the generation of compiler-specific and portable directives. A lot of effort has also been put into improving usability through a redesigned reporting that reflects the function and loop […]
Parallelware Trainer 1.6 released
We’re glad to announce the release of Parallelware Trainer 1.6 which features a significant overhaul of how you interact with parallelization opportunities. We’ve also extended the GPU offloading support by allowing the copy of multi-dimensional arrays using OpenMP as well as through new GPU-specific defects and recommendations. In total, 6 new defects and 8 new […]
CESGAHACK5 returns in December to accelerate the execution time of applications of scientists and developers
The Galicia Supercomputing Center (CESGA) and Appentra Solutions will host the 5th CESGAHACK virtually, from 14th to 18th December 2020. The five-day virtual hackathon aims to help scientists and application developers to answer questions by speeding up their application runtime, and reducing how long they spend coding the improved runtime. This year the event will […]
Appentra awarded for its Entrepreneurial Initiative
The Galician Computer Engineering Professional College (CPEIG) awards the Entrepreneurial Initiative Award to Appentra, for its growth since its birth in 2012 as a spin-off of the University of A Coruña. The awards ceremony will be held on November 27 at the “XII Noite da Enxeñaría en Informática de Galicia” in Santiago de Compostela, which […]
Parallelware Analyzer 0.16 released
We are pleased to announce the availability of Parallelware Analyzer 0.16. This release features a redesigned pwloops tool and new checks to improve the detection of data races and GPU data movement issues: Redesign of pwloops to better match the parallelization workflow: first, make sure that the code is analyzable; second, see what computation patterns […]
Appentra winner of the ‘Innovative Science’ category at the Innovation Radar Prize 2020
The European Commission has awarded prizes to Europe’s most promising innovations emerging from EU funded research and innovation projects. The 12 finalists competed in three prize categories: “Women-led innovation”, “Tech for Society” and “Innovative Science”. The final of the Innovation Radar Prize 2020 took place online on September 24, 2020 during the European Commission’s R&I […]
Parallelware Analyzer 0.15 released
We are excited to announce the availability Parallelware Analyzer 0.15. This release has the following new features: Memory access patterns reporting. Now pwloops provides information not only about computational parallel patterns but also about memory access patterns. You can find more information about the patterns in our knowledge base. Use OpenMP teams to offload to […]