AWS HPC Blog

Tag: Storage

Strategies for distributing executable binaries across grids in financial services

Strategies for distributing executable binaries across grids in financial services

You can boost the performance of your compute grids by strategically distributing your binaries. Our experts looked at lots of strategies for fast & efficient compute grid operations – to save you some work.

Expanded filesystems support in AWS ParallelCluster 3.2

Expanded filesystems support in AWS ParallelCluster 3.2

AWS ParallelCluster version 3.2 introduces support for two new Amazon FSx filesystem types (NetApp ONTAP and OpenZFS). It also lifts the limit on the number of filesystem mounts you can have on your cluster. We’ll show you how, and help you with the details for getting this going right away.

Figure 1: High level architecture of the file system.

Scaling a read-intensive, low-latency file system to 10M+ IOPs

Many shared file systems are used in supporting read-intensive applications, like financial backtesting. These applications typically exploit copies of datasets whose authoritative copy resides somewhere else. For small datasets, in-memory databases and caching techniques can yield impressive results. However, low latency flash-based scalable shared file systems can provide both massive IOPs and bandwidth. They’re also easy to adopt because of their use of a file-level abstraction. In this post, I’ll share how to easily create and scale a shared, distributed POSIX compatible file system that performs at local NVMe speeds for files opened read-only.

AWS batch loves Amazon EFS - header image

Introducing support for per-job Amazon EFS volumes in AWS Batch

Large-scale data analysis usually involves some multi-step process where the output of one job acts as the input of subsequent jobs. Customers using AWS Batch for data analysis want a simple and performant storage solution to share with and between jobs. We are excited to announce that customers can now use Amazon Elastic File System (Amazon […]