CFDDFC® v10 Released

CFDDFC® v10 Released

CFD Direct is pleased to announce the release of version 10 of CFD Direct From the Cloud™ (CFDDFC®), available on Amazon Web Services (AWS) Marketplace as the standard CFDDFC product and CFDDFC (Arm). Standard CFDDFC v10 includes OpenFOAM v10, ParaView v5.6.0, OpenMPI v4.1.1 and FreeCAD v0.19.2, running on Ubuntu 20.04 LTS. CFDDFC (Arm) is server-only including OpenFOAM v10 and OpenMPI v4.1.1, running on Ubuntu 20.04 LTS. CFDDFC runs on single instances with up to 64 C6i Intel cores (c6i.32xlarge), 96 C6a AMD cores (c6a.48xlarge) or 64 C7g Graviton cores (c7g.16xlarge) and in clusters with with good parallel scaling on clusters of instances up to 1000 cores.

CFDDFC on AWS C6i/M6i

CFDDFC on AWS C6i/M6i

CFD Direct From the Cloud (CFDDFC®) is our established platform for running OpenFOAM, ParaView and supporting software using cloud computing. CFDDFC is now available on AWS C6i and M6i instances of Elastic Cloud Compute (EC2). These instances use the 32-core 2.9 GHz (3.5 GHz with turbo-boost) Intel Xeon Platinum 8375C (Ice Lake) processor. With 2 processors per socket, the largest single instances, c6i.32xlarge and m6i.32xlarge, includes 64 cores. C6i and M6i instances run at up to 50 Gbps of network speed at the largest instance size, which also supports Elastic Fabric Adapter to provide high speed networking across a cluster of instances.

CFDDFC® v9 Released

CFD Direct from the Cloud 9 Remote Desktop

CFD Direct is pleased to announce the release of version 9 of CFD Direct From the Cloud™ (CFDDFC®), available on Amazon Web Services (AWS) Marketplace as the standard CFDDFC product and CFDDFC (Arm). Standard CFDDFC v9 includes OpenFOAM v9, ParaView v5.6.0, OpenMPI v4.1.1 and FreeCAD v0.19.2, running on Ubuntu 20.04 LTS. CFDDFC (Arm) is server-only including OpenFOAM v9 and OpenMPI v4.1.1, running on Ubuntu 20.04 LTS. CFDDFC runs on single instances with up to 48 C5 Intel cores (c5.24xlarge) or 64 C6 Arm-based cores (c6g.16xlarge) and in clusters with with good parallel scaling on clusters of instances up to 1000 cores.

AWS HPC Competency 2021

AWS HPC Competency 2021

CFD Direct Limited has become one of the first approved Amazon Web Services (AWS) Partners to achieve High Performance Computing (HPC) Competency status. This designation recognises that CFD Direct has demonstrated deep experience helping customers optimise their computational fluid dynamics (CFD) workloads on AWS. Using CFD Direct From the Cloud™ (CFDDFC®), engineers and scientists can launch instances, pre-configured with OpenFOAM, in minutes — with up to 48 processors and clusters of 100s of processors.

CFDDFC (Arm) for AWS C6g

CFDDFC (Arm) for AWS C6g

CFD Direct has launched CFDDFC® (Arm), a marketplace product on Amazon Web Services (AWS) for computational fluid dynamics (CFD) with OpenFOAM. CFDDFC (Arm) is a variant of CFD Direct From the Cloud™ for Amazon EC2 instances running Arm-based Graviton2 processors, in particular the C6g instances for compute-intensive workloads. CFDDFC (Arm) operates in server-mode without graphical applications and includes OpenFOAM 7 and OpenMPI 4.0.3 running on Ubuntu Server for Arm 20.04 LTS. For batch CFD jobs with guaranteed access on-demand, users can save 35% on their EC2 costs with C6g instances.

OpenFOAM HPC with AWS EFA

External Aerodynamics of a Vehicle with OpenFOAM

In November 2018, Amazon Web Services (AWS) announed Elastic Fabric Adapter, a network interface for HPC applications running on EC2. We previewed the EFA technology, running benchmark CFD simulations with OpenFOAM, presented previously: (1) strong scaling – 97 m total cells, external aerodynamics around a car; (2) weak scaling – 100 k cells per core, flow over a weir. At 1008 cores, EFA delivered linear scaling in the strong scaling test and ~70% scaling in the weak scaling test. With linear strong scaling, EFA enables faster solutions for the same cost simply by running on more cores. The combination of open source software, C5n instances and EFA provides impressive HPC, at a price accessible to all.