In previous articles (1 and 2) here on insideHPC, James Reinders described “Intel Xeon Phi processor Programming in a Nutshell” for Intel’s 72-core processor. In this special guest feature, he discusses cluster modes and the interaction of the memory modes with these cluster modes.
“In order for developers to be able to focus on their application, a Vision Algorithm Designer application is included in the Intel Computer Vision SDK. This gives users a drag and drop interface that allows them to create new applications on the fly. Large and complex workflows can be modelled visually which takes the guesswork out of bringing together many different functions. In addition, customized code can be added to the workflows.”
James Reinders discusses one of the “mode” options that Intel Xeon Phi processors have to offer: memory modes. “For programmers, this is the key option to really study because it may inspire programming changes.”
“This video is from the opening session of the “Introduction to Programming Pascal (P100) with CUDA 8″ workshop at CSCS in Lugano, Switzerland. The three-day course is intended to offer an introduction to Pascal computing using CUDA 8.”
With the release of Intel Parallel Studio XE 2017, the focus is on making applications perform better on Intel architecture-based clusters. Intel MPI Library 2017, a fully integrated component of Intel Parallel Studio XE 2017, implements the high-performance MPI-3.1 specification on multiple fabrics. It enables programmers to quickly deliver the best parallel performance, even if you change or upgrade to new interconnects, without requiring changes to the software or operating environment.
“GPUs potentially offer exceptionally high memory bandwidth and performance for a wide range of applications. The challenge in utilizing such accelerators has been the difficulty in programming them. Enter GPU Hackathons; Our mentors come from national laboratories, universities and vendors, and besides having extensive experience in programming GPUs, many of them develop the GPU-capable compilers and help define standards such as OpenACC and OpenMP.”
This year, the OpenMP Architecture Review Board is celebrating the 20th anniversary of the first OpenMP API specification with a pair of events: OpenMPCon and the International Conference on OpenMP (IWOMP). Both events will take place the week of September 18 at Stony Brook University in New York. “Developers attending this year’s OpenMPCon and IWOMP conferences will have the added bonus of joining us to celebrate the vital contribution OpenMP has made by enabling high-performance computing over the past two decades and will also help us to shape OpenMP’s next twenty years.” said Michael Klemm, OpenMP CEO.”
Today Tokyo-based Startup XTREME DESIGN announced it has raised $700K of funding in its pre-series A round. Launched in early 2015, the Startup’s XTREME DNA software automates the process of configuring, deploying, and monitoring virtual supercomputers on public clouds.
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.”