Stramash: A Fused-Kernel Operating System For Cache-Coherent, Heterogeneous-ISA Platforms

We live in the world of heterogeneous computing. With specialised elements reaching all aspects of our computer systems and their prevalence only growing, we must act to rein in their inherent complexity. One area that has seen significantly less investment in terms of development is heterogeneous-ISA systems, specifically because of complexity. To date, heterogeneous-ISA processors have required significant software overheads, workarounds, and coordination layers, making the development of more advanced software hard, and motivating little further development of more advanced hardware. In this paper, we take a fused approach to heterogeneity, and introduce a new operating system (OS) design, the fused-kernel OS, which goes beyond the multiple-kernel OS design, exploiting cache-coherent shared memory among heterogeneous-ISA CPUs as a first principle -- introducing a set of new OS kernel mechanisms. We built a prototype fused-kernel OS, Stramash-Linux, to demonstrate the applicability of our design to monolithic OS kernels. We profile Stramash OS components on real hardware but tested them on an architectural simulator -- Stramash-QEMU, which we design and build. Our evaluation begins by validating the accuracy of our simulator, achieving an average of less than 4% errors. We then perform a direct comparison between our fused-kernel OS and state-of-the-art multiple-kernel OS designs. Results demonstrate speedups of up to 2.1× on NPB benchmarks. Further, we provide an in-depth analysis of the differences and trade-offs between fused-kernel and multiple-kernel OS designs.

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Publication Details

Published
2025-03-27
DOI
https://doi.org/10.1145/3676641.3716275
Citations
4
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
9.08
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article

Stramash: A Fused-Kernel Operating System For Cache-Coherent, Heterogeneous-ISA Platforms

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4 citations
Parallel Computing and Optimization Techniques
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article

Stramash: A Fused-Kernel Operating System For Cache-Coherent, Heterogeneous-ISA Platforms

Tong Xing, Jonathan Balkind, Antonio Barbalace, Tianrui Wei, Binoy Ravindran, Cong Xiong, Andrés Fernando Pinzón Sanchéz
article en
4 citations

Abstract

We live in the world of heterogeneous computing. With specialised elements reaching all aspects of our computer systems and their prevalence only growing, we must act to rein in their inherent complexity. One area that has seen significantly less investment in terms of development is heterogeneous-ISA systems, specifically because of complexity. To date, heterogeneous-ISA processors have required significant software overheads, workarounds, and coordination layers, making the development of more advanced software hard, and motivating little further development of more advanced hardware. In this paper, we take a fused approach to heterogeneity, and introduce a new operating system (OS) design, the fused-kernel OS, which goes beyond the multiple-kernel OS design, exploiting cache-coherent shared memory among heterogeneous-ISA CPUs as a first principle -- introducing a set of new OS kernel mechanisms. We built a prototype fused-kernel OS, Stramash-Linux, to demonstrate the applicability of our design to monolithic OS kernels. We profile Stramash OS components on real hardware but tested them on an architectural simulator -- Stramash-QEMU, which we design and build. Our evaluation begins by validating the accuracy of our simulator, achieving an average of less than 4% errors. We then perform a direct comparison between our fused-kernel OS and state-of-the-art multiple-kernel OS designs. Results demonstrate speedups of up to 2.1× on NPB benchmarks. Further, we provide an in-depth analysis of the differences and trade-offs between fused-kernel and multiple-kernel OS designs.

Google (United States) (US), Berkeley College (US), University of California, Santa Barbara (US), Imperial College London (GB), Virginia Tech (US), University of California, Berkeley (US), University of Edinburgh (GB)
Affordable and clean energy
Openalex Percentile: Top 3%
Parallel Computing and Optimization Techniques
9.08
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