In this presentation the Co-Chairs of the Computational Storage Technical Working Group (CS TWG) will provide a status update from the work having been done over the last year, including the release of the new Public Review materials around Architecture and APIs. We will update the status of the definition work and address the growing market and adoption of the technology with contributions from the 47+ member organizations participating in the efforts. We will show use cases, customer case studies, and efforts to continue to drove output from the Technical efforts.

Computational Storage continues to gain interest and momentum as standards that underpin the technology mature. Developers are realizing that moving compute closer to the data is a logical solution to the ever-increasing storage capacities. Data-driven applications that benefit from database searches, data manipulation, and machine learning can perform better and be more scalable if developers add computation directly to storage.

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Join the SNIA Computational Storage TWG and SIG for a Computational Storage update and discussion of the latest SNIA CS Architecture and Programming Model and API.

With the ongoing work in the CS TWG, the chairs will present the latest updates from the membership of the working group. In addition, the latest release will be reviewed at a high level to provide attendees a view into next steps and implementation of the specification in progress. Use cases, Security considerations, and other key topics with also be addressed.

We will guide the group to discuss the 1.0 specification, what it means for the industry, and where we go from here.

Computational Storage standards are under active development at both SNIA and NVMe. The CS TWG in SNIA continues to work on enhancements to the Architecture and Programming Model after the successful release of the 1.0 revision of the standard in August 2022. The CS TWG also continues to refine the CS API, which was released for public review in July 2022, to ensure alignment and compatibility with NVMe. Many of the same companies are engaged with the SNIA CS work and the NVMe CS work and strive to ensure compatibility and cohesion between the SNIA and NVMe CS standards.

SDXI is a standard for a memory-to-memory data mover and acceleration interface that is extensible, forward-compatible, and independent of I/O interconnect technology. Among other features, SDXI standardizes an interface and architecture that can be abstracted or virtualized with a well-defined capability to quiesce, suspend, and resume the architectural state of a per-address-space data mover.

Discuss updates to the Computational Storage Architecture, Computational Storage API, and SDXI with Computational Storage. Answer questions and discuss use cases.

Welcome and opening remarks by Jason Molgaard Co-Chair SNIA Technical Council and Principal Storage Solutions Architect Solidigm

CXL is intended to interface to a wide variety of devices including memory and accelerators. CXL is certainly gaining momentum as a preferred interface for disaggregated memory while CXL accelerator devices are still in the early stages of development. Computational Storage is one example of an accelerator that is well positioned to achieve additional benefits from CXL. Data residing in Subsystem Local Memory (SLM) on an NVMe device could potentially be accessed with the load/store interface of CXL and maintain coherency with host memory.