Today WekaIO announced that Mellanox has selected the WekaIO Matrix file system to accelerate application performance scaling for their EDA workloads. “Mellanox is a forward-thinking company, we continuously improve our workflows by incorporating new deep learning techniques into our data-intensive EDA workloads, so we needed a modern file system to support our initiatives,” said Udi Weinstein, Chief Information Officer of Mellanox.
WekaIO Matrix Cluster Excels on SPEC SFS 2014 Benchmark
February 13, 2019 by Leave a Comment
Today WekaIO announced the results of the independent SPEC SFS 2014 benchmark testing of its flagship WekaIO Matrix product. “Having established itself in the number one position for the SPEC SFS 2014 software build in January 2019, WekaIO has now posted winning results for all remaining benchmarks in the SPEC test suite. In addition to unbeatable performance and scalability, WekaIO has demonstrated extraordinarily low latencies across the benchmark suite, reaffirming Matrix is the world’s fastest parallel file system.”
Ansys SeaHawk Brings Big Data Analytics to EDA
May 25, 2016 by Leave a Comment
Ansys, a provider of engineering simulation technology, has announced the release of its SeaScape architecture to help engineers accelerate the optimization of designs using a combination of elastic computation, machine learning, big data analytics and simulation technology.
Slidecast: IBM High Performance Services for Technical Computing in the Cloud
July 27, 2015 by Leave a Comment
In this slidecast, Chris Porter and Jeff Kamiol from IBM describe how IBM High Performance Services deliver versatile, application-ready clusters in the cloud for organizations that need to quickly and economically add computing capacity for high performance application workloads.
