AWS HPC Blog
Author: Jun Tang
Jun Tang works as a Software Development Engineer in the Annapurna Labs software team. Jun’s responsibilities at AWS include optimizing and benchmarking open source HPC software on Graviton-based instances, diagnosing and addressing customer issues. Jun has over 10 years experience in software development for seismic imaging and medical imaging. He has a Master’s degree in Electrical and Computer Engineering from Rice University.
Recent improvement to Open MPI AllReduce and the impact to application performance
Our team engineered some Open MPI optimizations for EFA to enhance performance of HPC codes running in the cloud. By improving MPI_AllReduce they improved scaling – matching commercial MPIs. Tests show gains for apps including Code Saturne and OpenFOAM on both Arm64 and x86 instances. Check out how these tweaks can speed up your HPC workloads in the cloud.
Lattice Boltzmann simulation with Palabos on AWS using Graviton-based Amazon EC2 Hpc7g instances
In this post we’ll show you the performance when running the Parallel Lattice Boltzmann Solver (Palabos) on the latest generation of AWS Graviton CPUs in Hpc7g instances on AWS.