“Just as representative benchmarks like HPCG are set to replace Linpack, so a focus on software is taking over. From industry analysts to users at SC15 we heard that software is the number one challenge and the number one opportunity to have world-class impact.”
The OpenACC Standards Group released the 2.5 version of the OpenACC API specification.
Today Penguin Computing announced first customer shipments of its Tundra Extreme Scale (ES) server based on Cavium’s 48 core ARMv8 based ThunderX workload optimized processors. Tundra ES Valkre servers are now available for public order and a standard 19” rack mount version will ship in early 2016.
“Supercomputing should be available for everyone who wants it. With that mission in mind, a team of engineers created Parallella, an 18-core supercomputer that’s a little bigger than a credit card. Parallella is open source hardware; the circuit diagrams are on GitHub and the machine runs Linux. Icing on the cake: Parallella is the most energy efficient computer on the planet, and you can buy one for a hundred bucks. Why does parallel computing matter? How can developers use parallel computing to deliver better results for clients? Let’s explore these questions together.”
Today Allinea Software announced that their Allinea Forge development tool suite is now available for ARM platforms. The tool suite, renowned for its ability to master multi-process and multi-threaded Linux applications, includes the powerful performance profiler Allinea MAP and debugger Allinea DDT.
Today E4 Computer Engineering announced their first orders for Cavium ThunderX-based ARKA servers.
In the second article in his series on future hardware for HPC, Robert Roe from Scientific Computing World looks at alternatives to the x86, including server on a chip and OpenPower.
Today Cavium announced support for Nvidia Teslas GPUs in its ThunderX ARM processor family.
Today E4 Computer Engineering from Italy announced a new series of ThunderX ARMv8-A enabled ARKA dense computing sever product line.
ARM has joined the OpenMP Architecture Review Board (ARB), a group of leading hardware and software vendors and research organizations creating the standard for the most popular shared-memory parallel programming model in use today.