Today Appentra announced it has joined the OpenPOWER Foundation, an open development community based on the POWER microprocessor architecture. Founded in 2012, Appentra is a technology company providing software tools for guided parallelization in high-performance computing and HPC-like technologies.
The development model of the OpenPOWER Foundation is one that elicits collaboration and represents a new way in exploiting and innovating around processor technology.” says Calista Redmond, Director of OpenPOWER Global Alliances at IBM. “With the Power architecture designed for Big Data and Cloud, new OpenPOWER Foundation members like Appentra, will be able to add their own innovations on top of the technology to create new applications that capitalize on emerging workloads.”
Appentra joins a growing roster of technology organizations working collaboratively to build advanced server, networking, storage and acceleration technology as well as industry leading open source software aimed at delivering more choice, control and flexibility to developers of next-generation, hyperscale and cloud data centers. The group makes POWER hardware and software available to open development for the first time, as well as making POWER intellectual property licensable to others, greatly expanding the ecosystem of innovators on the platform.
“For us it is of great value to share our experiences and learn from world-wide leading universities, national laboratories and supercomputing centers that are also members of OpenPOWER Foundation.” said Manuel Arenaz CEO at Appentra.
OpenPOWER Foundation has a collaborative environment from which, the members obtain current information on OpenPOWER activities and they get involved in areas of interest to them. Thus, we will actively participate in the OpenPOWER ReadyTM program to demonstrate that our new software Parallware Trainer is interoperable with other OpenPOWER Ready products. We are also interested in working with the Academia Discussion Group to better understand how Parallware Trainer can help in teaching parallel programming with OpenMP and OpenACC.