ucb-bar/gemmini

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1436 stars · 286 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Gemmini is Berkeley's open-source generator for parameterizable systolic-array DNN hardware accelerators, written in Chisel (Scala) and integrated with the Chipyard SoC design ecosystem. It provides a full-system, full-stack platform for exploring and evaluating how hardware and software co-design choices affect deep neural network performance, including simulators and software toolchains.

Use cases

• generate a custom systolic array DNN accelerator for RISC-V SoCs
• evaluate DNN accelerator performance in cycle-accurate simulation
• explore hardware-software co-design tradeoffs for neural network accelerators
• run ResNet50 and other DNN models on a simulated custom accelerator
• prototype an ASIC or FPGA neural network accelerator
• study how memory hierarchies and software stacks affect DNN accelerator performance

When to choose

• you are a computer architect researching DNN accelerator designs
• you need a parameterizable systolic array generator integrated with RISC-V SoCs via Chipyard
• you want full-system simulation of custom accelerators with real DNN workloads
• you are building an academic or research prototype of a matrix-multiplication accelerator

When to avoid

• you need a production-ready commercial accelerator or driver stack
• you want to accelerate DNNs on existing GPUs or CPUs without hardware design work
• you are unfamiliar with Chisel, RISC-V, and hardware simulation flows
• you need a quick plug-and-play inference solution

Facets

framework · maturity active

simulation machine-learning deep-learning compiler developer-tools hardware machine-learning deep-learning simulation python cpp jvm hardware-accelerator chisel risc-v asic dnn systolic-array chipyard fpga hardware-design research linux

Member repositories

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markdown · JSON · MCP: product_card(name="ucb-bar/gemmini")