CrossSim 3.0.3

• DNN inference interface: added feature to export all array conductances to file for a DNN.

CrossSim 3.0.2

• Fix parasitic handling with different per-row and per-column parasitic resistance (#18).

CrossSim 3.0.1

• Fix AnalogCore parameter initialization issue when using multiple different CrossSimParameters objects
• Fix AnalogCore initialization issue when using cupy

CrossSim 3.0

Major Changes in CrossSim 3.0:

• New AnalogCore interface providing a numpy-like interface for MVM and VMM operations
• Overhauled and reorganized CrossSimParameters to clarify settings and simplify behavior including JSON load/save support
• Neural network training and outer product update support removed If you need those features for your research please continue to use CrossSim2.0
• New ADC, DAC, and device interfaces to simplify adding new models and mixing and matching behaviors
• New circuit-based ADC models
• Optional matrix-multipy fast-path providing up to 40x speedup on certain workloads including CNNs
• Complex number support
• Matlab compatibility
• Assorted modeling improvements

CrossSim 3.0b1

Pre-release of CrossSim 3.0.

Major Changes in CrossSim 3.0:

• New AnalogCore interface providing a numpy-like interface for MVM and VMM operations
• Overhauled and reorganized CrossSimParameters to clarify settings and simplify behavior including JSON load/save support
• Neural network training and outer product update support removed If you need those features for your research please continue to use CrossSim2.0
• New ADC, DAC, and device interfaces to simplify adding new models and mixing and matching behaviors
• New circuit-based ADC models
• Optional matrix-multipy fast-path providing up to 40x speedup on certain workloads including CNNs
• Complex number support
• Matlab compatibility
• Assorted modeling improvements

CrossSim 2.0

CrossSim 2.0 supports neural network inference and training using analog in-memory computing providing data loading and configuration scripts for several common neural networks and datasets which interface with the CrossSim core.

Note: Training support will be removed from subsequent releases until a long-term feature maintainer can be found. If you need training for your research, do not upgrade to later versions.