“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.”
“With up to 72 out-of-order cores, the new Intel Xeon Phi processor delivers over 3 teraFLOPS (floating-point operations per second) of double-precision peak while providing 3.5 times higher performance per watt than the previous generation. As a bootable CPU with integrated architecture, the Intel Xeon Phi processor eliminates PCIe* bottlenecks, includes on-package high-bandwidth memory, and available integrated Intel Omni-Path fabric architecture to deliver fast, low-latency performance.”
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.
With the advent of the tremendous compute density of new processors, it is important to understand if an application can take advantage of multicore. “Developers should understand if an application might be ready to run in a highly vectorized or many core environment before attempting to do the work necessary to obtain the high performance that might be expected.”
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.
“Fortran has been proven to be extremely resilient to new developments that have appeared in other programming languages over the years. New versions continue to be available and associated with ANSI standards, so that an application written for one operating system should be able to be compiled and run with different compilers on different operating systems. The latest version is Fortran 2008, with the next version reportedly to be available as Fortran 2015, in 2018.”
With a massive surge in genomics research, the ability to quickly process very large amounts of data is now required for any organization that is involved in genomics. While the cost has been reduced significantly, the amount of data that is produced is has increased as well. This article describes next generation sequencing and how a combination of hardware and innovative software can decrease the amount of time to sequence genomes.
Vectorization and threading are critical to using such innovative hardware product such as the Intel Xeon Phi processor. Using tools early in the design and development processor that identify where vectorization can be used or improved will lead to increased performance of the overall application. Modern tools can be used to determine what might be blocking compiler vectorization and the potential gain from the work involved.
The prevalency of cloud computing has changed the HPC landscape necessaiting HPC management tools that can manage and simplify complex enviornments in order to optimize flexibility and speed. Altair’s new solution PBS Cloud Manager makes it easy to build and manage HPC application stacks.