Built an AI Accelerator and opensourced it. [P]

There is a huge gap in open source AI accelerators, so I implemented mine.

Popular and well known ones are already legacy and doesn't support contemporary operations like Attention.

Here is what makes mine special:

• Attention mechanism smelted directly into silicon
• Prototyped end-to-end on FPGA (AWS F2)
• Benchmarked against PyTorch-based workloads
• Built on the RocketChip architecture (RISC-V)
• Native BF16 support
• Up to 225× speedup on vanilla attention mechanism
• Up to 96× speedup on TinyBERT
• Up to 50× speedup on ViT Up to 30× speedup on GPT-2 prefill

I would really appreciate it if you check the repo and give me feedback!