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'''Computing with Memory''' refers to computing platforms where function response is stored in memory array, either one or two-dimensional, in the form of lookup tables (LUTs) and functions are evaluated by retrieving the values from the LUTs. These computing platforms can follow either a purely spatial computing model, as in [[Field-programmable gate array]] (FPGA), or a temporal computing model, where a function is evaluated across multiple clock cycles. The latter approach aims at reducing the overhead of programmable interconnect in FPGA by folding interconnect resources inside a computing element. It uses dense two-dimensional memory arrays to store large multiple-input multiple-output LUTs. Computing with Memory differs from Computing in Memory or [[Processor-in-memory]] (PIM) concepts, widely investigated in the context of integrating a processor and memory on the same chip to reduce memory latency and increase bandwidth. These architectures seek to reduce the distance the data travels between the processor and the memory.
==Details==
<!-- Deleted image removed: [[Image:Memory Logic Block.png|thumb|right|alt=Time-multiplexed execution of mapped application using embedded memory blocks .|Functional block diagram of Memory Based Computation.]] -->
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* [[Reconfigurable Computing]]
* [[Field-programmable gate array]] (FPGA)
* [[Computational RAM]]
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