Chipyard: Integrated Design, Simulation, and Implementation Framework for Custom SoCs

By Alon Amid, David Biancolin, Abraham Gonzalez, D. Grubb, S. Karandikar, Harrison Liew, Albert Magyar, H. Mao, Albert J. Ou, Nathan Pemberton and 7 more. IEEE Micro, 2020

354 citations recorded by the source corpus.

Continued improvement in computing efficiency requires functional specialization of hardware designs. Agile hardware design methodologies have been proposed to alleviate the increased design costs of custom silicon architectures, but their practice thus far has been accompanied with challenges in integration and validation of complex systems-on-a-chip (SoCs). We present the Chipyard framework, an integrated SoC design, simulation, and implementation environment for specialized compute systems. Chipyard includes configurable, composable, open-source, generator-based IP blocks that can be used across multiple stages of the hardware development flow while maintaining design intent and integration consistency. Through cloud-hosted FPGA accelerated simulation and rapid ASIC implementation, Chipyard enables continuous validation of physically realizable customized systems.

Subfields: Electrical and Electronic Engineering, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/546a075203b4a29626e6cb651225afebf7619c7a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Krste Asanovic
2. Jerry Zhao
3. Yakun Sophia Shao

In Hardware and Architecture

1. Jonathan Ragan-Kelley
2. Krste Asanovic
3. Yakun Sophia Shao

Citations in the corpus

• Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration (2019, methodology): “Gemmini allows architects to integrate RISC-V CPUs with Gemmini-generated accelerators in the Chipyard [26] framework.”