Blog

News and technical deep dives from the TiGrIS project.

Static Memory Planning for Embedded Neural Network Inference

Peak working memory, not model size, decides whether inference fits in RAM. It is a property of the schedule and the allocation rather than the model alone, which makes it a compile-time planning problem.

Introducing TiGrIS

The model of your choice doesn't fit in SRAM. You consider reducing its size or using a different model. TiGrIS tiles the computation instead and makes the exact model run on your target hardware.