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In-memory processing using Python promises faster and more efficient computing by skipping the CPU

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  • In-memory processing hardware exists, but software is lacking
  • Researchers created PyPIM to enable in-memory computation
  • Python commands translated into memory-executable instructions

While processor speeds and memory storage capacities have surged in recent decades, overall computer performance remains constrained by data transfers, where the CPU must retrieve and process data from memory, creating a bottleneck.

Hardware technologies enabling some operations to run in-memory have been in development for some time, but software that allows computers to perform processing operations directly in RAM, bypassing the CPU, has not been properly addressed.

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