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Numeca Migrates CFD to the UberCloud with Advania

CFD solution company Numeca International is expanding HPC offerings to run in the cloud and on demand. With help from Advania and the UberCloud, this capability will make it easer for Numeca customers to tackle complex calculations and improve their flexibility to test them on demand, all while providing them with an HPC environment that accelerates their computing capacity. “Until recently it was my firm belief that cloud computing for engineering applications was one of the next big challenges we had to solve,” says Professor Charles Hirsch, President and founder of NUMECA International, and a world-renowned expert on Computational Fluid Dynamics. “But when we came across UberCloud’s new application HPC container technology and containerized all our CFD software packages, we were surprised about the ease of use and access to any computing system on demand. We were also impressed by the flexibility of Advania to be able to respond to our immediate and future needs, by providing an HPC structure fit to our client’s demands.”

GE’s Flow Simulator Software Now Available Exclusively from Altair

Today Altair announced that the company has added GE’s Flow Simulator software to the Altair Partner Alliance (APA) and offer direct licenses to Altair customers. Flow Simulator is an integrated flow, heat transfer, and combustion design software that enables mixed fidelity simulations to optimize machine and systems design. “GE’s Flow Simulator will benefit our customers by providing thermal fluid system mixed fidelity simulation capabilities relevant to multiple industries. It expands our strong multiphysics system modeling portfolio, and we are very positive about working with GE to carry their great development work forward to a broader set of customers and applications,” said Brett Chouinard, Altair’s President and COO.

Maximizing Performance of HiFUN* CFD Solver on Intel® Xeon® Scalable Processor With Intel MPI Library

The HiFUN CFD solver shows that the latest-generation Intel Xeon Scalable processor enhances single-node performance due to the availability of large cache, higher core density per CPU, higher memory speed, and larger memory bandwidth. The higher core density improves intra-node parallel performance that permits users to build more compact clusters for a given number of processor cores. This permits the HiFUN solver to exploit better cache utilization that contributes to super-linear performance gained through the combination of a high-performance interconnect between nodes and the highly-optimized Intel® MPI Library.

Supercomputing how Fish Save Energy Swimming in Schools

Over at CSCS, Simone Ulmer writes that researchers at ETH Zurich have clarified the previously unresolved question of whether fish save energy by swimming together in schools. They achieved this by simulating the complex physics on the supercomputer ‘Piz Daint’ and combining detailed flow simulations with a reinforcement learning algorithm for the first time. “In their simulations, they have not examined every aspect involved in the efficient swimming behavior of fish. However, it is clear that the developed algorithms and physics learned can be transferred into autonomously swimming or flying robots.”

Case Study: Supercomputing Natural Gas Turbine Generators for Huge Boosts in Efficiency

Hyperion Research has published a new case study on how General Electric engineers were able to nearly double the efficiency of gas turbines with the help of supercomputing simulation. “With these advanced modeling and simulation capabilities, GE was able to replicate previously observed combustion instabilities. Following that validation, GE Power engineers then used the tools to design improvements in the latest generation of heavy-duty gas turbine generators to be delivered to utilities in 2017. These turbine generators, when combined with a steam cycle, provided the ability to convert an amazing 64% of the energy value of the fuel into electricity, far superior to the traditional 33% to 44%.”

Understanding Behaviors in the Extreme Environment of Natural Gas Turbine Generators

“With these advanced modeling and simulation capabilities, GE was able to replicate previously observed combustion instabilities. Following that validation, GE Power engineers then used the tools to design improvements in the latest generation of heavy-duty gas turbine generators to be delivered to utilities in 2017. These turbine generators, when combined with a steam cycle, provided the ability to convert an amazing 64% of the energy value of the fuel into electricity, far superior to the traditional 33% to 44%.”

Altair acquires FluiDyna CFD Technology for GPUs

Altair has acquired Germany-based FluiDyna GmbH, a renowned developer of NVIDIA CUDA and GPU-based Computational Fluid Dynamics (CFD) and numerical simulation technologies in whom Altair made an initial investment in 2015. FluiDyna’s simulation software products ultraFluidX and nanoFluidX have been available to Altair’s customers through the Altair Partner Alliance and also offered as standalone licenses. “We are excited about FluiDyna and especially their work with NVIDIA technology for CFD applications,” said James Scapa, Founder, Chairman, and CEO at Altair. “We believe the increased throughput and lower cost of GPU solutions is going to allow for a significant increase in simulations which can be used to further impact the design process.”

ScaleMP Powers Largest Shared-Memory Systems in Canada

ScaleMP announced that the government of Canada has extended the contract for its large shared memory systems acquired from Dell. These SMP systems use vSMP Foundation to aggregate more than 64 Intel Xeon processors each, totaling more than 1500 CPUs per system. The systems are used for a variety of HPC workloads, including computer-aided engineering (CAE) and computational fluid dynamics (CFD). “Together with our hardware partners, we have been providing technology to the government of Canada since 2012, and are proud of repeatedly earning their business,” said Shai Fultheim, founder and CEO of ScaleMP. “repeat customers are a big part of the vSMP Foundation user community, and we continue to see expansion of our footprint with existing customers along with strong growth in deployments of vSMP Foundation with new ones.”

New Pointwise Release Adds Mesh Automation and Adaptability for CFD

Pointwise has released Version 18.1, a major update to its computational fluid dynamics (CFD) mesh generation software. With its origins in a multiyear development effort funded by the U.S. Air Force for overset grid assembly, this latest Pointwise release includes a suite of tools that provide increased automation and flexibility in mesh topology creation, mesh types and mesh quality assessment. “This release is the culmination and commercial manifestation of a two-year $1.2 million research and development effort funded by the U.S. Air Force Materiel Command, Arnold Engineering Development Complex,” said Nick Wyman, Pointwise’s director of applied research. “That effort in turn was an extension of a previous, two-year, Small Business Innovation Research (SBIR) Phase II award. While focused on overset grid assembly, the capabilities added to the software are applicable to virtually any type of mesh generation.”

Porting Scientific Research Codes to GPUs with CUDA Fortran

Josh Romero from NVIDIA gave this talk at the Stanford HPC Conference. “In this session, we intend to provide guidance and techniques for porting scientific research codes to NVIDIA GPUs using CUDA Fortran. The GPU porting effort of an incompressible fluid dynamics solver using the immersed boundary method will be described. Several examples from this program will be used to illustrate available features in CUDA Fortran, from simple directive-based programming using CUF kernels to lower level programming using CUDA kernels.”