Many people are not aware that persistent memory is deployed in massive hyperscale public clouds, and in private clouds managed by next wave cloud service providers delivering specialty or regional cloud services. In this session, Charles Fan describes cloud computing issues that are uniquely addressed by Big Memory Computing featuring persistent memory. Charles will also reveal use cases and deployments in public and private clouds. The presentation will wrap-up with predictions of how CXL will impact Big Memory Computing with persistent memory in the cloud.

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

CXL technology is designed to deliver an open standard that accelerates the next-generation data center performance. This has now become reality with member companies delivering CXL solutions showcasing interoperability between vendors and enabling a new ecosystem for high-performance, heterogeneous computing. The first CXL hardware solutions feature memory expansion, end-point support, memory disaggregation and more.

One of the challenges for computational storage is getting flexible and powerful compute close enough to the storage to make it worthwhile. FPGAs have potential but are hard to program and not very flexible. Traditional CPU complexes have a large footprint and lack the parallel processing abilities ideal for AI/ML applications. Data Processing Units (DPUs) tightly coupled with GPUs are the answer. The DPU integrates a CPU and hardware accelerators for IO, and storage into a single chip.

A memory to memory data movement interface is increasingly being seen as an enabler to persistent memory technologies and computational storage use cases. This talk will summarize the various use cases, various features discussed in the SDXI v0.9-rev1 specification, and SNIA's efforts around standardizing this work.

Computational storage can bring unique benefits in increasing the efficiency of CPU utilization in a data processing system. Here we discuss the benefits of leveraging computational storage in a disaggregated storage environment. We demonstrate the ability of the solution to complement the CPU by taking away tasks that benefit from in-situ processing within the storage, thereby improving the overall system performance while lowering the TCO.

Memory footprint is a major source of capital expenditure and soon will make up more than half of a compute host. New technologies like Persistent Memory and CXL enable new memory topologies and Volatile Memory usage to enable memory density and cost savings. Memory Tiering can be broken down into types with their unique challenges and requirements. Tiering can be enabled in hardware, kernel, or user space. The presentation will go over definition, architecture, and use cases for Memory Tiering options in the market today and the future.

Please join this session to learn how performance of business-critical Oracle workloads can be accelerated via Persistent Memory technology using  Intel Optane DC PMM in App Direct mode backed Oracle 21c Persistent Memory Filestore on VMware vSphere platform, thereby achieving those stringent business goals and enhancing performance.

Join David McIntyre as he kicks off our virtual Summit with an overview of the Summit content and presenters, and how the technologies of persistent memory and computational storage are so important.

Phenomenal change is coming to computing architecture.  Persistence is moving closer to the processor, eventually to find its way into caches and registers.  Memory interfaces are being completely reconsidered in order to remove one of the biggest bottlenecks in the system, while cutting energy consumption.  In certain cases the processor is being moved into the memory chip.  Meanwhile new and completely different algorithms, like the broad adoption of AI, are being adopted and these will change the entire way that computers are being used and configured.  This is c