Appentra will present a BoF session titled “Quality Assurance and Coding Standards for Parallel Software” at the International Supercomputing Conference 2019 (SC19) in Denver. Date: Thursday, 21st , 12:15pm – 1:15pm Location: 505 BoF Website: https://parallel-code-qa.github.io/sc19-bof/ SC19 BoF info: https://sc19.supercomputing.org/presentation/?id=bof164&sess=sess316 Join us on the mailing list to receive relevant updates and discussions: https://groups.io/g/parallel-code-qa-sc19-bof Parallel programming […]
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Appentra at SC19 in Denver
Appentra will once again be participating in the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC19), to be held between 17th and 21th of November. Appentra will take part as an Exhibitor in the Startup Café The Startup Café is the place for emerging companies to introduce their products and services to […]
Appentra announces the Early Access Program for Parallelware Analyzer
Appentra strives to minimize and eventually remove the parallel software development barrier, making parallel computing easier for everyone. Today we announce Parallelware Analyzer, a suite of command-line tools aimed at helping software developers to build better quality parallel software in less time. We are excited to announce that we are also offering developers the opportunity […]
Defects and recommendations for parallelism
Implementing parallel software is hard. On top of all the kinds of bugs that may be present in sequential code, parallel code can also suffer from race conditions. A race condition exists when several threads access the same data at the same time and at least one of them writes to it. Opening the door […]
Fixing defects in parallel code: an OpenMP example
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 […]
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 […]
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 […]
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 […]
Appentra is finalist in the South Summit Startup Competition 2019
Appentra has been selected as a finalist for the South Summit Startup Competition. The 100 most promising startup finalists were selected from among the 3,700 international projects submitted for the Startup Competition. We will be competing within the Cutting Edge Technologies vertical. A committee of 150 experts has carried out an evaluation process in which […]
NERSC User News podcast’s interview on Parallelware Trainer
On the occasion of the workshop led by Appentra at NERSC in June, the NERSC User News podcast interviewed us about parallel programming learning tool, Parallelware Trainer. You can listen to it by clicking on the following podcast: