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 […]
Technical
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 […]
OpenACC programming:How OpenACC works (3/9)
This is the third 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 OpenACC works […]
OpenACC programming: What is OpenACC? (2/9)
This is the second 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 start with an introduction […]
OpenACC programming: Overview of an online video course (1/9)
Appentra is pleased to announce a new series of videos about how to develop parallel code with OpenACC. The course uses our 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 […]
Parallelware now available for OpenPOWER systems
The Parallelware technology is now compatible with OpenPOWER systems. POWER processors are great for multi-threaded applications, such as those taking advantage of OpenMP. For instance, a single 12-core SMT8 POWER9 processor is capable of running up to 96 simultaneous threads. As a matter of fact, the #1 and #2 fastest supercomputers run POWER9 processors. Now […]
Parallelware Trainer 1.1 released
Appentra is pleased to announce the release of Parallelware Trainer 1.1, improving the provision of accessible HPC and parallel programming training using OpenMP and OpenACC.Appentra’s goal has always been to minimize and eventually remove the parallel software development barrier, and making parallel computing easier for everyone. Parallelware Trainer 1.1 provides an enhanced interactive learning environment, […]
Appentra releases Parallelware Trainer 1.0 helping to improve access to HPC training
Parallelware Trainer 1.0 continues Appentra’s mission to bring HPC to everyone by providing enhanced training support A Coruña, Spain, 13 September 2018 — Appentra Solutions releases the newest HPC training assistance tool, Parallelware Trainer 1.0. helping to address the company’s mission of bringing High Performance Computing (HPC) and parallel programming to everyone. Appentra’s goal has […]
Using LLVM for guided parallelism
Computational hardware is rapidly changing with an increasing movement to multi-core processors available everywhere from your mobile phone to the fastest supercomputers. To take advantage of these technologies software needs to be able to execute in parallel: something that isn’t straightforward to achieve. In addition, for optimal performance and ease of use software ideally needs […]