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 […]
Technical
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 […]
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 […]
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 […]