[12.10.2020] Final report published on new algorithmic solutions
This report provides the final algorithmic solutions developed by the MNEMOSENE consortium for database query, matching with automata processor, guided image filtering, deep learning inference, and hyper-dimensional computing applications.
Prepared by MNEMOSENE consortium partner TU Delft, the report also provides a qualitative comparison of the different Computation-in-Memory (CIM) architectures to near-memory computing as well as describes other applications that could benefit from the MNEMOSENE CIM kernels.
To read the full report, please click on the following link.
Prepared by MNEMOSENE consortium partner TU Delft, the report also provides a qualitative comparison of the different Computation-in-Memory (CIM) architectures to near-memory computing as well as describes other applications that could benefit from the MNEMOSENE CIM kernels.
To read the full report, please click on the following link.
