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 […]
News
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:
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 […]