EMPRESS Metadata Harvesting

2017-11-01 Wed
faodel io hpc pub

We published an unclassified unlimited release (UUR) paper.

Abstract

Significant challenges exist in the efficient retrieval of data from extreme-scale simulations. An important and evolving method of addressing these challenges is application-level metadata management. Historically, HDF5 and NetCDF have eased data retrievalby offering rudimentary attribute capabilities that provide basic metadata. ADIOS simplified data retrieval by utilizing metadata for each process' data. EMPRESS provides a simple example of the next step in this evolution by integrating per-process metadata with thestorage system itself, making it more broadly useful than single file or application formats. Additionally, it allows for more robust and customizable metadata.

Publications

Reference Architecture for Emulytics Clusters

2017-10-01 Sun
clusters pub

We published an unclassified unlimited release (UUR) technical report.

Abstract

In this document we describe a reference architecture developed for Emulytics clusters at Sandia National Laboratories. Taking into consideration the constraints of our Emulytics software and the requirements for integration with the larger computing facilities at Sandia, we developed a cluster platform suitable for use by Sandia's several Emulytics toolsets and also useful for more general large-scale computing tasks.

Publication

Kahuna in Sandia Lab News

2017-04-21 Fri
clusters news

We discussed Kahuna in an unclassified unlimited release (UUR) lab newspaper article.

News Article

Data-Management Services for ECP

2017-01-31 Tue
net systems

We presented an unclassified unlimited release (UUR) poster.

Poster

Supercomputers and Data-Warehouse Appliances

2013-08-13 Tue
io pub

We published an unclassified unlimited release (UUR) paper.

Abstract

Two decades of experience with massively parallel supercomputing has given insight into the problem domains where these architectures are cost effective. Likewise experience with database machines and more recently massively parallel database appliances has shown where these architectures are valuable. Combining both architectures to simultaneously solve problems has received much less attention. In this paper, we describe a motivating application for economic modeling that requires both HPC and database capabilities. Then we discuss hardware and software integration issues related to a direct integration of a Cray XT supercomputer and a Netezza database appliance.

Publications