Sorry, you need to enable JavaScript to visit this website.

Prepare for Fundamental Architectural Changes to Storage and Memory

Submitted by Anonymous (not verified) on

Big changes lie ahead for the world of data processing in many areas: hardware structure, data management, processing algorithms, and even computing types (analog vs. digital.) How must the technical community prepare for these changes? Join noted analyst Jim Handy and IEEE President Tom Coughlin as they look at future computing systems in which storage will appear in new and interesting places.

The NVM Express(R) Ratified Details of Live Migration

Submitted by Anonymous (not verified) on

Now that NVMe™ has ratified TP4159 PCIe® Infrastructure for Live Migration, it is time to show the final details of how NVMe controllers in direct attached PCIe SSDs can be migrated from one server to the next for use cases such as workload balancing and maintenance. In this presentation I will detail the new commands, new events, new queues, updates to existing commands, and vendor specific options. This presentation will cover how a host utilizes the new protocol to migrate a controller.

SNIA Computational Storage Standards

Submitted by Anonymous (not verified) on

The SNIA Computational Storage TWG successfully released the Computational Storage Architecture and Programming Model v1.0 in August 2022 and the Computational Storage API v1.0 in October 2023.  The CS TWG continues advancing Computational Storage with enhancements to both the Computational Storage Architecture and Programming Model and Computational Storage API.  

Leveraging SPDK Acceleration Framework for Optimal IPU Storage Workflows

Submitted by Anonymous (not verified) on

Infrastructure Processing Units (IPUs) is revolutionizing the networked storage paradigm for cloud service providers (CSPs). The type of device enhances system architecture by exposing NVMe PCI devices to the host and offloading network storage tasks onto the IPU. The Storage Performance Development Kit (SPDK) Acceleration Framework is perfectly suited to operate on these devices, capitalizing on their hardware offloading capabilities for efficient data movement and transformation.

Subscribe to