Large-scale digital transformation and omnichannel customer engagement applications require an unprecedented level of performance, including the ability to ingest and analyze data from multiple ...

Scaling-Up with Shared Memory. The scale-up design uses one large pool of memory for multiple processors. This approach keeps the established processor-memory relationship intact. (i.e. All memory, ...

In-memory computing is enabling the bank to develop a web-scale architecture using a 2,000-node in-memory data grid that can handle up to 1.5PB of data and the required transaction volume.

A scale-up design that allows multiple cores to share a large global pool of memory is the most flexible and allows large data sets to take advantage of full in-memory computing. A scale-out design ...

In-memory computing tends to be a trade-off between performance, scalability, and cost. In 2013, the average price of RAM was more than 100 times more per GB than for disk. Practically speaking, that ...

SAP, the German enterprise software group, believes a technology it calls ‘in-memory computing’ could transform business IT enabling companies to crunch and analyse large volumes of data in ...

Some refer to this as near-memory computing. Like in-memory, the idea is to bring the memory and logic closer in the system. “The world is driving more data in systems. So, processors need large ...

Part II is published: The Nitty Gritty of In-Memory Computing can be found here. Not really very long ago the terms In-Memory Computing (IMC) and In-Memory Database (IMDB) seemed to start showing up ...