Today the FlyElephant team announced the release of the FlyElephant 2.0 platform for High Performance Computing. Versioin 2.0 enhancements include: internal expert community, collaboration on projects, public tasks, Docker and Jupyter support, a new file storage system and work with HPC clusters.
Today Seagate unveiled a first-of-its kind, high-capacity drive that can help data centers more easily accommodate exponential data growth, while still maintaining high levels of computing power and performance. The two terabyte (TB) version of its Nytro XM1440 M.2 non-volatile memory express (NVMe) Solid State Drive (SSD) is the highest-capacity, enterprise-class M.2 NVMe SSD available today, making it well suited for demanding enterprise applications that require fast data access, capacity and processing. “This latest version of the Nytro XM1440 M.2 NVMe SSD is the first of its kind and pushes the boundaries for enterprises, so they don’t have to sacrifice speed for access and availability. They can continue to scale operations in an efficient manner and still get the most value from their data, but without the extra overhead.”
Biologists and mathematicians from the Moscow Institute of Physics and Technology (MIPT) have accelerated the rate at which a computer can predict the structure of protein complexes in a cell. “The new method enables us to model the interaction of proteins at the genome level. This will give us a better understanding of how our cells function and may enable drug development for diseases caused by ‘incorrect’ protein interactions,” commented Dima Kozakov, a professor at Stony Brook and adjunct professor at MIPT.
Today Mellanox announced it has received the Award for Technology Innovation from Baidu, Inc. The award recognizes Mellanox’s achievements in designing and delivering a high-performance, low latency interconnect technology solution that positively impacts Baidu’s business. Mellanox Technologies received the award at the 2016 Baidu Datacenter Partner Conference, Baidu’s annual gathering of key datacenter partners, and was the only interconnect provider in this category.
In this special guest feature, Rob Farber writes that a study done by Kyoto University Graduate School of Medicine shows that code modernization can help Intel Xeon processors outperform GPUs on machine learning code. “The Kyoto results demonstrate that modern multicore processing technology now matches or exceeds GPU machine-learning performance, but equivalently optimized software is required to perform a fair benchmark comparison. For historical reasons, many software packages like Theano lacked optimized multicore code as all the open source effort had been put into optimizing the GPU code paths.”
Researchers are using Argonne supercomputers to jump-start internal-combustion engine designs in the name of conservation. “Improving engine efficiencies by even a few percentage points can take a big chunk out of our carbon footprint. We are working on a proof-of-concept to demonstrate how simulating several thousand engine configurations simultaneously can really help engineers zero in on the optimum engine designs and operating strategies to maximize efficiency while minimizing harmful emissions.”
Dassault Systèmes, a provider of product lifecycle management (PLM) solutions, has announced that it will acquire Computer Simulation Technology (CST), a specialist in electromagnetic (EM) and electronics simulation, for approximately 220 million euros. With the acquisition of CST, based near Frankfurt, Germany, Dassault Systèmes will complement its industry solution experiences for realistic multiphysics simulation on its 3DEXPERIENCE platform with full spectrum EM simulation.
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.”
ARM processors will provide the computational muscle behind one of the most powerful supercomputers in the world, replacing the current K computer at the RIKEN Advanced Institute for Computational Science (AICS) in Japan. During the ISC conference, Fujitsu released details of the new system during a presentation with Fujitsu vice president Toshiyuki Shimizu. Shimizu stated that the “post K” system, which is set to go live in 2020, will have 100 times more application performance than the K supercomputer.
Today Mellanox announced that the University of Tokyo has selected the company’s Switch-IB 2 EDR 100Gb/s InfiniBand Switches and ConnectX-4 adapters to accelerate its new supercomputer for computational science.