Over at the SUSE Blog, Jay Kruemcke writes that the High-Performance Computing Module (HPC Module) for SUSE Linux Enterprise (SLES) is now available for 64-bit ARM (AArch64) systems. The HPC Module is delivered as an add-on product to SUSE Linux Enterprise Server. “In summary, the HPC module allows us to keep the content closer to what’s happening in the HPC community upstream, providing more leading-edge tools in a more manageable fashion, leveraging a different lifecycle than the base SUSE Linux Enterprise Server. The new HPC module contains packages to optimize and manage HPC systems, and build HPC applications – building a bridge between the base server and an HPC stack (such as the stack provided by OpenHPC). This journey has started – some packages have already been made public and we have much more in the works and in our release queue.”
“2017 will see the introduction of many technologies that will help shape the future of HPC systems. Production-scale ARM supercomputers, advancements in memory and storage technology such as DDN’s Infinite Memory Engine (IME), and much wider adoption of accelerator technologies and from Nvidia, Intel and FPGA manufacturers such as Xilinx and Altera, are all helping to define the supercomputers of tomorrow.”
In this podcast, the Radio Free HPC team looks at a set of IT and Science stories. Microsoft Azure is making a big move to GPUs and the OCP Platform as part of their Project Olympus. Meanwhile, Huawei is gaining market share in the server market and IBM is bringing storage to the atomic level.
“Back in 2013 I wrote the following blog expressing my opinion that I doubted we would reach Exascale before 2020. However, recently it was announced that the world’s first Exascale supercomputer prototype will be ready by the end of 2017 (recently pushed back to early 2018), created by the Chinese. I did some digging and wanted to share my thoughts on the news.”
“Developing a supercomputer that is many times faster than any of those currently available is clearly a challenging process and involves leveraging Fujitsu’s top hardware and software talent, as well as the help of partner companies such as ARM,” said Naoki Shinjo, SVP, Head of Next Generation Technical Computing Unit, Fujitsu.
In this slidecast, Jem Davies (VP Engineering and ARM Fellow) gives a brief introduction to Machine Learning and explains how it is used in devices such as smartphones, autos, and drones. “I do think that machine learning altogether is probably going to be one of the biggest shifts in computing that we’ll see in quite a few years. I’m reluctant to put a number on it like — the biggest thing in 25 years or whatever,” said Jem Davies in a recent investor call. “But this is going to be big. It is going to affect all of us. It affects quite a lot of ARM, in fact.”
Today Allinea Software launched the first update to its well-established toolset for debugging, profiling and optimizing high performance code since being acquired by ARM in December 2016. “The V7.0 release provides new integrations for the Allinea Forge debugger and profiler and Allinea Performance Reports and will mean more efficient code development and optimization for users, especially those wishing to take software performance to new levels across Xeon Phi, CUDA and IBM Power platforms,” said Mark O’Connor, ARM Director, Product Management HPC tools.
“This is an exciting time in high performance computing,” said Prof Simon McIntosh-Smith, leader of the project and Professor of High Performance Computing at the University of Bristol. “Scientists have a growing choice of potential computer architectures to choose from, including new 64-bit ARM CPUs, graphics processors, and many-core CPUs from Intel. Choosing the best architecture for an application can be a difficult task, so the new Isambard GW4 Tier 2 HPC service aims to provide access to a wide range of the most promising emerging architectures, all using the same software stack.”
“Writing and deploying software that exploits the ever increasing computing power of clusters and supercomputers is a demanding challenge – it needs to run fast, and run right, and that’s exactly what our suite of tools is designed to enable,” said David Lecomber, CEO, Allinea. “As part of ARM, we’ll continue to work with the HPC community, our customers and our partners to advance the development of our cross-platform technology, and take advantage of product synergies between ARM’s compilers, libraries and advisory tools and our existing and future debugging and analysis tools. Our combined expertise and understanding of the challenges this market faces will deliver new solutions to this growing ecosystem.”
Today ThinkParQ announced the immediate availability of BeeGFS version 6.0. As the first release in a new versioning scheme, release 6.0 is the direct successor of the 2015.03 release series, which was in fact the 5th BeeGFS major release. “This new release is another big step for the development of BeeGFS”, says Christian Mohrbacher, development lead of BeeGFS. “In combination with the high availability features of the BeeGFS storage service, which were introduced in the 2015.03 major release last year, fully fault-tolerant storage systems can now be built by solely using BeeGFS-internal functionality.”