scx/rust/scx_rustland_core
Andrea Righi 5db0908530 scx_rustland_core: make sure to use a valid CPU during direct dispatch
We may end up selecting an invalid CPU (according to the task's cpumask)
when dispatching the task via dispatch_direct_cpu().

When this happens simply return an error and do not dispatch the task
and let the caller handle the error: in the context of select_cpu() we
can simply ignore the dispatch and return the target CPU; in the context
of FIFO mode dispatch we can fallback to SCX_DSQ_LOCAL if the target CPU
is not valid.

This fixes issue #353.

Signed-off-by: Andrea Righi <andrea.righi@canonical.com>
2024-06-25 14:11:46 +02:00
..
assets scx_rustland_core: make sure to use a valid CPU during direct dispatch 2024-06-25 14:11:46 +02:00
src scx_rustland_core: include buddy-alloc and refactor allocator code 2024-06-19 14:44:04 +02:00
.gitignore rust: introduce scx_rustland_core crate 2024-02-28 17:49:44 +01:00
bindings.h rust: introduce scx_rustland_core crate 2024-02-28 17:49:44 +01:00
bpf_h rust: introduce scx_rustland_core crate 2024-02-28 17:49:44 +01:00
build.rs scx_utils: introduce Builder() 2024-02-28 17:49:44 +01:00
Cargo.toml scx_rustland_core: include buddy-alloc and refactor allocator code 2024-06-19 14:44:04 +02:00
LICENSE rust: introduce scx_rustland_core crate 2024-02-28 17:49:44 +01:00
meson.build Fetch and build bpftool by default 2024-03-11 10:00:01 -07:00
README.md scx_rustland_core: introduce per-task time slice 2024-03-03 15:06:56 +01:00

Framework to implement sched_ext schedulers running in user-space

sched_ext is a Linux kernel feature which enables implementing kernel thread schedulers in BPF and dynamically loading them.

This crate provides a generic layer that can be used to implement sched-ext schedulers that run in user-space.

It provides a generic BPF abstraction that is completely agnostic of the particular scheduling policy implemented in user-space.

Developers can use such abstraction to implement schedulers using pure Rust code, without having to deal with any internal kernel / BPF internal details.

API

The main BPF interface is provided by the BpfScheduler struct. When this object is initialized it will take care of registering and initializing the BPF component.

The scheduler then can use BpfScheduler instance to receive tasks (in the form of QueuedTask objects) and dispatch tasks (in the form of DispatchedTask objects), using respectively the methods dequeue_task() and dispatch_task().

Example usage (FIFO scheduler):

struct Scheduler<'a> {
    bpf: BpfScheduler<'a>,
}

impl<'a> Scheduler<'a> {
    fn init() -> Result<Self> {
        let topo = Topology::new().expect("Failed to build host topology");
        let bpf = BpfScheduler::init(5000, topo.nr_cpus() as i32, false, false, false)?;
        Ok(Self { bpf })
    }

    fn schedule(&mut self) {
        match self.bpf.dequeue_task() {
            Ok(Some(task)) => {
                // task.cpu < 0 is used to to notify an exiting task, in this
                // case we can simply ignore it.
                if task.cpu >= 0 {
                    let _ = self.bpf.dispatch_task(&DispatchedTask {
                        pid: task.pid,
                        cpu: task.cpu,
                        cpumask_cnt: task.cpumask_cnt,
                        slice_ns: 0,
                    });
                }
            }
            Ok(None) => {
                // Notify the BPF component that all tasks have been dispatched.
                self.bpf.update_tasks(Some(0), Some(0))?

                break;
            }
            Err(_) => {
                break;
            }
        }
    }

Moreover, a CPU ownership map (that keeps track of which PID runs on which CPU) can be accessed using the method get_cpu_pid(). This also allows to keep track of the idle and busy CPUs, with the corresponding PIDs associated to them.

BPF counters and statistics can be accessed using the methods nr_*_mut(), in particular nr_queued_mut() and nr_scheduled_mut() can be updated to notify the BPF component if the user-space scheduler has still some pending work to do or not.

Lastly, the methods exited() and shutdown_and_report() can be used respectively to test whether the BPF component exited, and to shutdown and report the exit message.