modm API documentation for STM32F469ZIT6
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Modules | |
Fiber Context Functions | |
Classes | |
class | modm::Fiber< StackSize > |
class | modm::fiber::Scheduler |
class | modm::fiber::Task |
Enums | |
enum | modm::Fiber< StackSize >::Start |
void | modm::fiber::yield () |
template<typename Rep , typename Period > | |
void | modm::fiber::sleep (std::chrono::duration< Rep, Period > interval) |
static constexpr size_t | modm::Fiber< StackSize >::StackAlignment = sizeof(uintptr_t) * 2 |
Alignment requirements for the bottom and top of the stack. | |
static constexpr size_t | modm::Fiber< StackSize >::StackSizeMinimum = 108 |
Minimum stack size required to push one full fiber context. | |
static constexpr size_t | modm::Fiber< StackSize >::StackSizeDefault = 512 |
lbuild module: modm:processing:fiber
This module provides a lightweight stackful fiber implementation including a simple round-robin scheduler. Here is a minimal example that blinks an LED:
You can construct a fiber from any function without return type or arguments:
To call objects with arguments, wrap the data into a lambda closure and pass it to fiber. The closure will be constructed at the top of the stack and allows the lambda wrapper to call your function with an argument:
Remember to use the right capture method for the lifetime of the objects you want to call. You can std::move()
already constructed objects into the capture, or construct them in the capture directly, if they would get destroyed after fiber construction. You may need to mark the lambda mutable:
modm::Fiber
on the stack! Apart from the general lifetime issues of constructing objects on the stack, the allocated fiber stack size is likely too large for the caller stack and will lead to a stack overflow.Fiber are added to the scheduler automatically and start execution when the scheduler is run. You can disable this behavior by setting start
to false
during construction and manually starting the fiber when it is ready, also from another fiber:
Fibers can end by returning from their wrapper, after which they will be removed from the scheduler. A fiber can then be restarted again by calling start()
, which will call the closure again from the beginning. Note, that the lambda capture is not destructed and reconstructed, but remains unchanged between restarts. If you need a fiber that is only callable once, you can implement this behavior manually with a boolean in the capture:
The scheduler run()
function will suspend execution of the call site, usually the main function, start each fiber and continue to execute them until they all ended and then return execution to the call site:
Please note that neither the fiber nor scheduler is interrupt safe, so starting threads from interrupt context is a bad idea!
yield()
outside of a fiber If yield()
is called before the scheduler started or if only one fiber is running, it simply returns in-place, since there is nowhere to switch to.The most important customization is the fiber stack size expressed in bytes:
The Fiber
class is intentionally constructed at runtime, so that it does not increase your program size, as the .data
section would. You may also place the fibers into the .faststack
section, which is not zeroed and thus saves a bit of time on startup:
However, it may be desirable to control the placement of the fiber task structure and especially the stack, depending on the types of memories available on your device. This is possible when you construct the stack and task in combination with the modm_section()
macros and its specializations:
It is difficult to measure stack usage without hardware support, however, detecting stack overflows is simpler with watermarking. A single word at the bottom of the stack is watermarked by default, as a cheap way to detect stack overflows:
Since the stack can also overflow without writing the last word, it is better to measure maximum stack usage and size the stack with a healthy buffer. You must watermark the stack before running the fiber, then you may query the stack usage inside or outside the fiber:
Note that stack usage measurement through watermarking can be inaccurate if the registers contain the watermark value.
Fibers are implemented by saving callee registers to the current stack, then switching to a new stack and restoring callee registers from this stack. The static modm::fiber::yield()
function wraps this functionality in a transparent way.
On AVRs the fiber stack is shared with the currently active interrupt. This requires the fiber stack size to include the worst case stack size of all interrupts. Fortunately on AVRs interrupts cannot be nested.
On Cortex-M, the main function is entered using the MSP in Handler mode. After calling modm::fiber::Scheduler::run()
the PSP is used as a Fiber stack pointer in Thread mode. Therefore all interrupts are using the main stack whose size is defined by the modm:platform:cortex-m:main_stack_size
option and will not increase the fiber stack size at all.
When using this module in combination with the modm:platform:multicore
module, each core gets its own fiber scheduler, which will internally be selected based on the CPU ID. Since the scheduler is not thread-safe, you cannot add fibers from one core to the other. Instead you must construct the fiber without starting it, and when executing on the other core, start()
it in that context.
Here is an example for the RP2040 device, which additionally allocates the stack and task into the core-affine memory:
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strong |
The Fiber scheduling policy.
void modm::fiber::sleep | ( | std::chrono::duration< Rep, Period > | interval | ) |
Yields the current fiber until the time interval has elapsed. This functionality is a convenience wrapper around modm::Timeout
if interval ≥1ms or modm::PreciseTimeout
if interval ≥1µs. For nanosecond delays, use modm::delay(ns)
.
yield()
and the scheduling other fibers, the sleep interval may be longer without any guarantee of an upper limit.
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inline |
Calls into the currently active scheduler to jump to the next fiber. Local control flow resumes by returning from this function.
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staticconstexpr |
The default stack size is estimated experimentally so that a fiber can use modm::IOStream
to log out information, which is fairly stack intensive. Use modm::fiber::Task::stack_usage()
to determine the real stack usage.