Web Worker Quality of Service
- Past
- Confirmed
- Breakout Sessions
- Past
- Confirmed
- Breakout Sessions
Meeting
Web Worker Quality of Service
Web Workers enable multithreading in web browsers. By offloading compute-intensive workload to worker threads, we can achieve better UI smoothness and responsiveness. Till now, we have been using a cookie-cutter approach to offload such "background" jobs to Web Workers. Compute workloads have varied characteristics, some tasks are latency sensitive while some can function better in a consistent level of performance for prolonged periods of time. To satisfy tasks with different performance expectations, modern CPUs incorporate a hybrid architecture with high-performance and high-efficiency cores. Operating systems have APIs to control a thread's Quality of Service (QoS). Under the hood, hardware schedulering tools look at various performance monitoring units and give hints to the Operating System which makes the decision to deploy the task to a performance core or an efficiency core.
We propose introducing a quality of service attribute to the Web Workers so that applications and libraries have a way to explicitly label a worker’s preference of performance. User Agents can take this hint to configure platform thread and possibly affect the scheduling policy.
See the Explainer.
Agenda
Chairs:
Rijubrata Bhaumik, Yoav Weiss
Description:
Web Worker Quality of Service
Web Workers enable multithreading in web browsers. By offloading compute-intensive workload to worker threads, we can achieve better UI smoothness and responsiveness. Till now, we have been using a cookie-cutter approach to offload such "background" jobs to Web Workers. Compute workloads have varied characteristics, some tasks are latency sensitive while some can function better in a consistent level of performance for prolonged periods of time. To satisfy tasks with different performance expectations, modern CPUs incorporate a hybrid architecture with high-performance and high-efficiency cores. Operating systems have APIs to control a thread's Quality of Service (QoS). Under the hood, hardware schedulering tools look at various performance monitoring units and give hints to the Operating System which makes the decision to deploy the task to a performance core or an efficiency core.
We propose introducing a quality of service attribute to the Web Workers so that applications and libraries have a way to explicitly label a worker’s preference of performance. User Agents can take this hint to configure platform thread and possibly affect the scheduling policy.
See the Explainer.
Goal(s):
Extend Web Workers to utilize little/E cores. Get Wider Stakeholder feedback.
Materials:
Track(s):
- performance
Minutes
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