“We present a procedure of implementing the intermediate profiling for openQCD code that will enable the global reduction of the cost of profiling and optimizing this code commonly used in the lattice QCD community. Our approach is based on well-known SimGrid simulator, which allows for fast and accurate performance predictions of the codes on HPC architectures. Additionally, accurate estimations of the program behavior on some future machines, not yet accessible to us, are anticipated.”
In this video from ISC 2016, Dave Sundstrom from Hewlett Packard Enterprise describes the newly enhanced HPE Software Stack for High Performance Computing. “The HPE Core HPC Software Stack is a complete software set for the creation, optimization, and running of HPC applications. It includes development tools, runtime libraries, a workload scheduler, and cluster management, integrated and validated by Hewlett Packard Enterprise into a single software set. Core HPC Stack uses the included HPC Cluster Setup Tool to simplify and speed the installation of an HPC cluster built with HPE servers.”
Olaf Weber from SGI presented this talk at LUG 2016. “In collaboration with Intel, SGI set about creating support for multiple network connections to the Lustre filesystem, with multi-rail support. With Intel Omni-Path and EDR Infiniband driving to 200Gb/s or 25GB/s per connection, this capability will make it possible to start moving data between a single SGI UV node and the Lustre file system at over 100GB/s.”
In this CCTV video, Alberto Alonso describes his new supercomputer, Breogan, that has the ability to modernize Mexico’s antiquated stock market.
Since it was launched in February, the Breogan computer has generated $475,000 for his company GACS. The algorithm it uses is much faster than the computers in Mexico’s stock exchange. “What makes the Breogan computer so unique, is that it finds attractive opportunities in the market and it buys and sells automatically when it sees a trading opportunity.”
At ISC 2016, HPE introduced new high-performance computing solutions that aim to accelerate HPC adoption by enabling faster time-to-value and increased competitive differentiation through better parallel processing performance, reduced complexity, and faster deployment time. “By combining these latest advancements in Intel Scalable System Framework with the scalability, flexibility and manageability of the HPE Apollo portfolio, customers will gain new levels of performance, efficiency and reliability. In addition, customers will be able to run HPC applications in a massively parallel manner with minimal code modification.”
Jeff Layton from Amazon presented this talk at the AWS Public Sector Summit. “Learn how to build HPC clusters on the fly, leverage Amazon’s Spot market pricing to minimize the cost of HPC jobs, and scale HPC jobs on a small budget, using all the same tools you use today, and a few new ones too.”
Researchers at DKRZ are using supercomputers to better understand the movement of sea ice. “Sea ice is an important component of the Earth System, which is often being discussed in terms of integrated quantities such as Arctic sea ice extent and volume.”
“We are pioneering the area of virtualized clusters, specifically with SR-IOV,” said Philip Papadopoulos, SDSC’s chief technical officer. “This will allow virtual sub-clusters to run applications over InfiniBand at near-native speeds – and that marks a huge step forward in HPC virtualization. In fact, a key part of this is virtualization for customized software stacks, which will lower the entry barrier for a wide range of researchers by letting them project an environment they already know onto Comet.”
In this video from ISC 2016, Greg Schmidt from Hewlett Packard Enterprise describes the new Apollo 6500 server. With up to eight high performance NVIDIA GPUs designed for maximum transfer bandwidth, the HPE Apollo 6500 is purpose-built for HPC and deep learning applications. Its high ratio of GPUs to CPUs, dense 4U form factor and efficient design enable organizations to run deep learning recommendation algorithms faster and more efficiently, significantly reducing model training time and accelerating the delivery of real-time results, all while controlling costs.
In this slidecast, Alexander Lidow from EPC describes how the company is leading a technological revolution with Gallium Nitride (GaN). More efficient than silicon as a basis for electronics, GaN could save huge amounts of energy in the datacenter and has the potential to fuel the computer industry beyond Moore’s Law. “Due to its superior switching speeds and smaller footprint, Texas Instruments is working with EPC to build a simpler topology that achieves better efficiency with smaller footprints and significantly lower cost.”