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 […]
Technical
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 […]
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 […]
OpenACC programming: Implementing a parallel forall (9/9)
This is the ninth video of our OpenACC programming course based on Appentra’s unique, productivity-oriented approach to learn best practices for parallel programming using OpenACC. Learning outcomes include how to decompose codes into parallel patterns and a practical step-by-step process based on patterns for parallelizing any code. In this last video we will learn to […]
OpenACC programming: Identifying a forall pattern (8/9)
This is the eighth video of our OpenACC programming course based on Appentra’s unique, productivity-oriented approach to learn best practices for parallel programming using OpenACC. Learning outcomes include how to decompose codes into parallel patterns and a practical step-by-step process based on patterns for parallelizing any code. In this video we will learn about the […]
OpenACC programming: Using patterns to parallelize (7/9)
This is the seventh video of our OpenACC programming course based on Appentra’s unique, productivity-oriented approach to learn best practices for parallel programming using OpenACC. Learning outcomes include how to decompose codes into parallel patterns and a practical step-by-step process based on patterns for parallelizing any code. In this video you will learn how to […]
OpenACC programming: Using your first OpenACC directives (6/9)
This is the sixth video of our OpenACC programming course based on Appentra’s unique, productivity-oriented approach to learn best practices for parallel programming using OpenACC. Learning outcomes include how to decompose codes into parallel patterns and a practical step-by-step process based on patterns for parallelizing any code. In this video we will learn how to […]
OpenACC programming: The OpenACC parallelization process (5/9)
This is the fifth video of our OpenACC programming course based on Appentra’s unique, productivity-oriented approach to learn best practices for parallel programming using OpenACC. Learning outcomes include how to decompose codes into parallel patterns and a practical step-by-step process based on patterns for parallelizing any code. In this video, we explain the incremental approach […]
OpenACC programming: Building and Running an OpenACC code (4/9)
This is the fourth video of our OpenACC programming course based on Appentra’s unique, productivity-oriented approach to learn best practices for parallel programming using OpenACC. Learning outcomes include how to decompose codes into parallel patterns and a practical step-by-step process based on patterns for parallelizing any code. In this video, we explain how to build […]
Parallelware Trainer 1.2 released
Appentra is pleased to announce the release of Parallelware Trainer 1.2, further improving the provision of accessible HPC and parallel programming training using OpenMP and OpenACC. Appentra has a clear goal: to make parallel programming easier, enabling everyone to make the best use of parallel computing hardware from the multi-cores in a laptop to the […]