Toward Open-Source Chiplets for HPC and AI: Occamy and Beyond

Fuente: arXiv
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Main Authors: Scheffler, Paul, Benz, Thomas, Fischer, Tim, Leone, Lorenzo, Arjmandpour, Sina, Benini, Luca
Format: Preprint
Published: 2025
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author Scheffler, Paul
Benz, Thomas
Fischer, Tim
Leone, Lorenzo
Arjmandpour, Sina
Benini, Luca
author_facet Scheffler, Paul
Benz, Thomas
Fischer, Tim
Leone, Lorenzo
Arjmandpour, Sina
Benini, Luca
contents We present a roadmap for open-source chiplet-based RISC-V systems targeting high-performance computing and artificial intelligence, aiming to close the performance gap to proprietary designs. Starting with Occamy, the first open, silicon-proven dual-chiplet RISC-V manycore in 12nm FinFET, we scale to Ramora, a mesh-NoC-based dual-chiplet system, and to Ogopogo, a 7nm quad-chiplet concept architecture achieving state-of-the-art compute density. Finally, we explore possible avenues to extend openness beyond logic-core RTL into simulation, EDA, PDKs, and off-die PHYs.
format Preprint
id arxiv_https___arxiv_org_abs_2511_15564
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Toward Open-Source Chiplets for HPC and AI: Occamy and Beyond
Scheffler, Paul
Benz, Thomas
Fischer, Tim
Leone, Lorenzo
Arjmandpour, Sina
Benini, Luca
Hardware Architecture
We present a roadmap for open-source chiplet-based RISC-V systems targeting high-performance computing and artificial intelligence, aiming to close the performance gap to proprietary designs. Starting with Occamy, the first open, silicon-proven dual-chiplet RISC-V manycore in 12nm FinFET, we scale to Ramora, a mesh-NoC-based dual-chiplet system, and to Ogopogo, a 7nm quad-chiplet concept architecture achieving state-of-the-art compute density. Finally, we explore possible avenues to extend openness beyond logic-core RTL into simulation, EDA, PDKs, and off-die PHYs.
title Toward Open-Source Chiplets for HPC and AI: Occamy and Beyond
topic Hardware Architecture
url https://arxiv.org/abs/2511.15564