Fine-Grained Computation Offload for Off-the-Shelf Servers in Tens of Lines
Hardware accelerators now sit on the critical path of online serving. GPUs, FPGAs, and increasingly remote services such as hardware security modules, post-quantum KEMs, and inference servers. For fine-grained offloads (microseconds to a few milliseconds) the classic responses to the resulting stall both fail: a context switch costs as much as the offload, and a busy-wait burns the core. Overlapping the offload with other requests is the fix, and prior systems obtain it by adding concurrency: an async-framework rewrite, a new runtime or dataplane OS, or a hand-tuned point integration. We observe that the concurrency already exists: serving concurrent requests is suspending and resuming th...
| Authors | Bojie Li |
|---|---|
| Primary category | cs.DC |
| Published | 2 July 2026 |
| Last updated at source | 2 July 2026 |
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