Workshop: 14th International Workshop on Runtime and Operating Systems for Supercomputers (ROSS 2025)
Authors: Cong Wang (Multikernel Technologies)
Abstract: Modern HPC and AI workloads challenge fundamental limitations in traditional operating system designs. Shared kernels introduce unpredictable performance interference, virtualization imposes unacceptable overhead, and monolithic architectures waste resources on unnecessary features.
Multikernel architectures address these challenges by providing each application with a dedicated, customized kernel instance. Combined with elastic resource management, this approach delivers predictable performance through kernel-level isolation, near-native performance without hypervisor overhead, and automatic workload-specific optimization for both HPC and AI.
This talk examines why current hardware capabilities and workload demands create the right conditions to fundamentally rethink OS design, and presents the architectural principles and system design of our multikernel proposal.
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