SNIA Developer Conference September 15-17, 2025 | Santa Clara, CA
Stop Wasting 80% of Your Infrastructure Investment!
Abstract
There is a new architectural approach to accelerating storage-intensive databases and applications which take advantage of new techniques that dramatically accelerate database performance, improve response times and reduce infrastructure cost at massive scale. This new architecture efficiently stores fundamental data structures increasing space savings—up to 80%—over host- and software-based techniques that cannot address inherent inefficiencies in today’s fastest SSD technology. With novel data structures and algorithms it is a unique data processing approach to fundamentally simplify the storage stack.
Learning Objectives
- Learn techniques for utilizing compute infrastructure more efficiently even with ever-increasing data storage requirements.
- Learn how new architectures optimize a range of workloads with no change to applications.
- Improve application response time and reduce CPU, network and storage demands.
Related Sessions
NVMe Computational Storage Update
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Accelerating File Systems and Data Services with Computational Storage
Standardized computational storage services are frequently touted as the Next Big Thing in building faster, cheaper file systems and data services for large-scale data centers. However, many developers, storage architects and data center managers are still unclear on how best to deploy computational storage services and whether computational storage offers real promise in delivering faster, cheaper – more efficient – storage systems. In this talk we describe Los Alamos National Laboratory’s ongoing efforts to deploy computational storage into the HPC data center. We focus first on describing the quantifiable performance benefits offered by computational storage services. Second, we describe the techniques used at Los Alamos to integrate computational storage into ZFS, a fundamental building block for many of the distributed storage services provided for Los Alamos scientists. By developing ZIA, the ZFS Interface for Accelerators, Los Alamos is able to embed data processing elements along the data path and provide hardware acceleration for data intensive processing tasks currently performed on general purpose CPUs. Finally, we describe how computational storage is leading to a fundamental re-architecture of HPC platform storage systems and we describe the lessons learned and practical limitations when applying computational storage to data center storage systems.
Stop Wasting 80% of Your Infrastructure Investment!
There is a new architectural approach to accelerating storage-intensive databases and applications which take advantage of new techniques that dramatically accelerate database performance, improve response times and reduce infrastructure cost at massive scale. This new architecture efficiently stores fundamental data structures increasing space savings—up to 80%—over host- and software-based techniques that cannot address inherent inefficiencies in today’s fastest SSD technology. With novel data structures and algorithms it is a unique data processing approach to fundamentally simplify the storage stack.
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