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 ...

Complex, computational work with huge sets of data is now common practice in fields such as genomics, economics, and astrophysics. Researchers in these and similarly data intensive fields depend on ...

Funded under the European Commission's IST programme, the POP project focused on generating an environment to allow applications designed using the OpenMP Application Program Interface (API) to ...

More databases and data stores and the applications that run atop them are moving to in-memory processing, and sometimes the memory capacity in a single big iron NUMA server isn’t enough and the ...

This is the second 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, also covers five ways ...

What is a distributed system? A distributed system is a collection of independent computers that appear to the user as a single coherent system. To accomplish a common objective, the computers in a ...

If you reduce systems down to their bare essentials, everything exists in those systems to manipulate data in memory, and like human beings, all that really exists for any of us is what is in memory.

By utilizing system memory rather than spinning disk, data grids are typically orders of magnitude faster than traditional DBMS systems. The GridGain data grid feature supports standard SQL for ...

Where in-memory databases are used (spoiler: everywhere!). Suitability of in-memory databases for microcontrollers. Risks and mitigation of data loss. How an in-memory database is different than ...