In-Memory Computing for HPC

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This is the first entry in an insideHPC series that delves into in-memory computing and the designs, hardware and software behind it. This series, compiled in a complete Guide available here,  also covers five ways in-memory computing can save money and improve TCO. 

To achieve high performance, modern computer systems rely on two basic methodologies to scale resources. Each design attempts to bring more processors (cores) and memory to the user.  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 distributes data sets across the memory on separate host systems in a computing cluster. Although the scale-out cluster often has a lower hardware acquisition cost, the scale-up in-memory system provides a much better total cost of ownership (TCO) based on the following advantages:

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