Google, Purdue & Harvard U’s Open-Source Framework for TinyML Achieves up to 75x Speedups on FPGAs | Synced
A research team from Google, Purdue University and Harvard University presents CFU Playground, a full-stack open-source framework for the rapid and iterative design of accelerators for embedded ML ...
Source: Synced | AI Technology & Industry Review
A research team from Google, Purdue University and Harvard University presents CFU Playground, a full-stack open-source framework for the rapid and iterative design of accelerators for embedded ML systems, enabling developers with minimal FPGA and hardware experience to achieve model speedups of up to 75x.