Emerging Deep Learning/ Machine learning and cloud native Applications at data center scale demand terabytes of data flowing across the storage/ memory hierarchy, straining interconnect bandwidth and component capacities. The Industry has responded with a wide range of solutions like process node shrink, higher capacity devices, new tiers, innovative form factors, new interconnect technologies and fabrics, new types of compute architectures, new algorithms and more to creatively leverage storage/memory tiering.

In this BOF session, we will explore the need, opportunities, challenges and implications of emerging data compression techniques and accelerators associated with storage and memory technologies through diverse viewpoints of ecosystem participants, including an SOC Architect, technologists in the storage/memory device and controller space.

Join the conversation with Scott Shadley( Solidigm), Mats Oberg (Marvell), Pulkit Jain( AMD) , Angelos Arelakis (ZeroPoint Technologies).

/*-->*/

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.