A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
A new technical paper titled “MegaMmap: Blurring the Boundary Between Memory and Storage for Data-Intensive Workloads” was published by researchers at Illinois Institute of Technology. “In this work, ...
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 ...
Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...
Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.
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 ...
[FEBRUARY 25, 2003/ADT'S PROGRAMMERS REPORT] -Intel's massive booth on the Intel Developer Forum conference exhibition floor featured several Centrino-based notebooks. An Intel spokesperson at the ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
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 ...
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