In this special guest feature, Bill Mannel from Hewlett Packard Enterprise writes that upcoming Intel HPC Developer Conference in Salt Lake City is a great opportunity to learn about code modernization for the next generation of high performance computing applications. “As computing systems grow increasingly complex and new architecture designs become mainstream, training developers to write code which runs on future HPC systems will require a collaborative environment and the expertise of the best and brightest in the industry.”
In this slidecast, Silicon Mechanics CTO Daniel Chow describes how the company brings value and performance to its HPC customers. “When looking for a leading solutions integrator to couple disparate hardware and software products into a “HPC Built For You” solution, that will keep up with the evolution and disruptive forces in technology – the Experts at Silicon Mechanics are here to help you.”
SC16 is just around the corner and there so much to explore. On suggestion is to visit with Intel learn how you can power your breakthrough innovations and discoveries with Intel Scalable System Framework. Read on for a list of SC16 events where you can experience how Intel is transforming HPC from traditional modeling and simulation to artificial intelligence, analytics, and visualization.
“Over the past six weeks, we took NVIDIA’s developer conference on a world tour. The GPU Technology Conference (GTC) was started in 2009 to foster a new approach to high performance computing using massively parallel processing GPUs. GTC has become the epicenter of GPU deep learning — the new computing model that sparked the big bang of modern AI. It’s no secret that AI is spreading like wildfire. The number of GPU deep learning developers has leapt 25 times in just two years.”
Many industries deploy graphics-intensive applications on single user workstations with individual GPU resources. For those who have switched to a virtualization based environment, many of the legacy desktop virtualization platforms can’t support high end GPUs or multiple GPU configurations. Together with partners like Cisco and One Stop Systems, a London-based tech start-up ebb3 has created the High Performance Virtual Computer (HPVC) to tackle this issue with the aim of creating the fastest performing solution in the world.
In this video, NYU researchers describe their plans to advance deep learning with their new Nvidia DGX-1 AI supercomputer. “The DGX-1 is going to be used in just about every research project we have here,” said Yann LeCun, founding director of the NYU Center for Data Science and a pioneer in the field of AI. “The students here can’t wait to get their hands on it.”
Datacenters that are designed for High Performance Computing (HPC) applications are more difficult to design and construct than those that are designed for more basic enterprise applications. Organizations that are creating these datacenters need to be aware of, and design for systems that are expected to run at their maximum or near maximum performance for the lifecycle of the servers.
Supercomputing developers and experts from around the globe will converge on Salt Lake City, Utah for the 2016 Intel® HPC Developer Conference on November 12-13 – just prior to SC ‘16. Conference attendance is free, however, those interested in attending should register quickly as Intel is expecting a big response, reflecting the broadening demand for HPC learning opportunities among technical developers. road on to learn about the incredible presenter lineup this year.
In this this video from ISC 2016, Tim Carroll describes how Cycle Computing is working with Dell Technologies to deliver more science for more users. Cycle Computing’s CycleCloud software suite is the leading cloud orchestration, provisioning, and data management platform for Big Compute, Big Data, and large technical computing applications running on any public, private, or internal environment.
“AMD has been away from the HPC space for a while, but now they are coming back in a big way with an open software approach to GPU computing. The Radeon Open Compute Platform (ROCm) was born from the Boltzmann Initiative announced last year at SC15. Now available on GitHub, the ROCm Platform bringing a rich foundation to advanced computing by better integrating the CPU and GPU to solve real-world problems.”