Speed Optimization

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Overview

Optimizing execution speed is a key element of software performance. Code that executes faster can also have other positive effects, e.g., reducing overall power consumption. However, improving execution speed may have trade-offs with other aspects of performance such as Minimizing Binary Size.

Choose What to Optimize

If a function in the application firmware is executed once per week in the background, it may not matter if that function takes 10 ms or 100 ms to execute. If a function is executed constantly at 10 Hz, it matters greatly if it takes 10 ms or 100 ms to execute.

Most kinds of application firmware only have a small set of functions that require optimal performance. Perhaps those functions are executed very often, or have to meet some application requirements for latency or throughput. Optimization efforts should be targeted at these particular functions.

Measuring Performance

The first step to improving something is to measure it.

Basic Performance Measurements

You may be able to measure directly the performance relative to an external interaction with the world, e.g., see the examples wifi/iperf and ethernet/iperf for measuring general network performance. Or you can use an oscilloscope or logic analyzer to measure the timing of an interaction with a device peripheral.

Otherwise, one way to measure performance is to augment the code to take timing measurements:

#include "esp_timer.h"

void measure_important_function(void) {
    const unsigned MEASUREMENTS = 5000;
    uint64_t start = esp_timer_get_time();

    for (int retries = 0; retries < MEASUREMENTS; retries++) {
        important_function(); // This is the thing you need to measure
    }

    uint64_t end = esp_timer_get_time();

    printf("%u iterations took %llu milliseconds (%llu microseconds per invocation)\n",
           MEASUREMENTS, (end - start)/1000, (end - start)/MEASUREMENTS);
}

Executing the target multiple times can help average out factors, e.g., RTOS context switches, overhead of measurements, etc.

  • Using esp_timer_get_time() generates "wall clock" timestamps with microsecond precision, but has moderate overhead each time the timing functions are called.

  • It is also possible to use the standard Unix gettimeofday() and utime() functions, although the overhead is slightly higher.

  • Otherwise, including hal/cpu_hal.h and calling the HAL function cpu_hal_get_cycle_count() returns the number of CPU cycles executed. This function has lower overhead than the others, which is good for measuring very short execution times with high precision.

  • While performing "microbenchmarks" (i.e., benchmarking only a very small routine of code that runs in less than 1-2 milliseconds), the flash cache performance can sometimes cause big variations in timing measurements depending on the binary. This happens because binary layout can cause different patterns of cache misses in a particular sequence of execution. If the test code is larger, then this effect usually averages out. Executing a small function multiple times when benchmarking can help reduce the impact of flash cache misses. Alternatively, move this code to IRAM (see Targeted Optimizations).

External Tracing

The Application Level Tracing Library allows measuring code execution with minimal impact on the code itself.

Tasks

If the option CONFIG_FREERTOS_GENERATE_RUN_TIME_STATS is enabled, then the FreeRTOS API vTaskGetRunTimeStats() can be used to retrieve runtime information about the processor time used by each FreeRTOS task.

SEGGER SystemView is an excellent tool for visualizing task execution and looking for performance issues or improvements in the system as a whole.

Improving Overall Speed

The following optimizations improve the execution of nearly all code, including boot times, throughput, latency, etc:

  • Set CONFIG_ESPTOOLPY_FLASHMODE to QIO or QOUT mode (Quad I/O). Both almost double the speed at which code is loaded or executed from flash compared to the default DIO mode. QIO is slightly faster than QOUT if both are supported. Note that both the flash chip model, and the electrical connections between the ESP32-C5 and the flash chip must support quad I/O modes or the SoC will not work correctly.

  • Set CONFIG_COMPILER_OPTIMIZATION to Optimize for performance (-O2) . This may slightly increase binary size compared to the default setting, but almost certainly increases the performance of some code. Note that if your code contains C or C++ Undefined Behavior, then increasing the compiler optimization level may expose bugs that otherwise are not seen.

  • Avoid using floating point arithmetic float. On ESP32-C5 these calculations are emulated in software and are very slow. If possible, use fixed point representations, a different method of integer representation, or convert part of the calculation to be integer only before switching to floating point.

  • Avoid using double precision floating point arithmetic double. These calculations are emulated in software and are very slow. If possible then use an integer-based representation, or single-precision floating point.

Reduce Logging Overhead

Although standard output is buffered, it is possible for an application to be limited by the rate at which it can print data to log output once buffers are full. This is particularly relevant for startup time if a lot of output is logged, but such problem can happen at other times as well. There are multiple ways to solve this problem:

Targeted Optimizations

The following changes increase the speed of a chosen part of the firmware application:

  • Move frequently executed code to IRAM. By default, all code in the app is executed from flash cache. This means that it is possible for the CPU to have to wait on a "cache miss" while the next instructions are loaded from flash. Functions which are copied into IRAM are loaded once at boot time, and then always execute at full speed.

    IRAM is a limited resource, and using more IRAM may reduce available DRAM, so a strategic approach is needed when moving code to IRAM. See IRAM (Instruction RAM) for more information.

  • Jump table optimizations can be re-enabled for individual source files that do not need to be placed in IRAM. For hot paths in large switch cases, this improves performance. For instructions on how to add the -fjump-tables and -ftree-switch-conversion options when compiling individual source files, see Controlling Component Compilation

Improving Startup Time

In addition to the overall performance improvements shown above, the following options can be tweaked to specifically reduce startup time:

  • Minimizing the CONFIG_LOG_DEFAULT_LEVEL and CONFIG_BOOTLOADER_LOG_LEVEL has a large impact on startup time. To enable more logging after the app starts up, set the CONFIG_LOG_MAXIMUM_LEVEL as well, and then call esp_log_level_set() to restore higher level logs. The system/startup_time main function shows how to do this.

  • If using Deep-sleep mode, setting CONFIG_BOOTLOADER_SKIP_VALIDATE_IN_DEEP_SLEEP allows a faster wake from sleep. Note that if using Secure Boot, this represents a security compromise, as Secure Boot validation are not be performed on wake.

  • Setting CONFIG_BOOTLOADER_SKIP_VALIDATE_ON_POWER_ON skips verifying the binary on every boot from the power-on reset. How much time this saves depends on the binary size and the flash settings. Note that this setting carries some risk if the flash becomes corrupt unexpectedly. Read the help text of the config item for an explanation and recommendations if using this option.

  • It is possible to save a small amount of time during boot by disabling RTC slow clock calibration. To do so, set CONFIG_RTC_CLK_CAL_CYCLES to 0. Any part of the firmware that uses RTC slow clock as a timing source will be less accurate as a result.

The example project system/startup_time is pre-configured to optimize startup time. The file system/startup_time/sdkconfig.defaults contain all of these settings. You can append these to the end of your project's own sdkconfig file to merge the settings, but please read the documentation for each setting first.

Task Priorities

As ESP-IDF FreeRTOS is a real-time operating system, it is necessary to ensure that high-throughput or low-slatency tasks are granted a high priority in order to run immediately. Priority is set when calling xTaskCreate() or xTaskCreatePinnedToCore() and can be changed at runtime by calling vTaskPrioritySet().

It is also necessary to ensure that tasks yield CPU (by calling vTaskDelay(), sleep(), or by blocking on semaphores, queues, task notifications, etc) in order to not starve lower-priority tasks and cause problems for the overall system. The Task Watchdog Timer (TWDT) provides a mechanism to automatically detect if task starvation happens. However, note that a TWDT timeout does not always indicate a problem, because sometimes the correct operation of the firmware requires some long-running computation. In these cases, tweaking the TWDT timeout or even disabling the TWDT may be necessary.

Built-in Task Priorities

ESP-IDF starts a number of system tasks at fixed priority levels. Some are automatically started during the boot process, while some are started only if the application firmware initializes a particular feature. To optimize performance, structure the task priorities of your application properly to ensure the tasks are not delayed by the system tasks, while also not starving system tasks and impacting other functions of the system.

This may require splitting up a particular task. For example, perform a time-critical operation in a high-priority task or an interrupt handler and do the non-time-critical part in a lower-priority task.

Header components/esp_system/include/esp_task.h contains macros for the priority levels used for built-in ESP-IDF tasks system. See Background Tasks for more details about the system tasks.

Common priorities are:

  • Running the Main Task that executes app_main function has minimum priority (1).

  • ESP Timer (High Resolution Timer) system task to manage timer events and execute callbacks has high priority (22, ESP_TASK_TIMER_PRIO)

  • FreeRTOS Timer Task to handle FreeRTOS timer callbacks is created when the scheduler initializes and has minimum task priority (1, configurable).

  • Event Loop Library system task to manage the default system event loop and execute callbacks has high priority (20, ESP_TASK_EVENT_PRIO). This configuration is only used if the application calls esp_event_loop_create_default(). It is possible to call esp_event_loop_create() with a custom task configuration instead.

  • lwIP TCP/IP task has high priority (18, ESP_TASK_TCPIP_PRIO).

  • The Ethernet driver creates a task for the MAC to receive Ethernet frames. If using the default config ETH_MAC_DEFAULT_CONFIG then the priority is medium-high (15). This setting can be changed by passing a custom eth_mac_config_t struct when initializing the Ethernet MAC.

  • If using the ESP-MQTT component, it creates a task with default priority 5 (configurable), depending on CONFIG_MQTT_USE_CUSTOM_CONFIG, and also configurable at runtime by task_prio field in the esp_mqtt_client_config_t)

  • To see what is the task priority for mDNS service, please check Performance Optimization.

Choosing Task Priorities of the Application

For very short timing-critical operations that do not use the network, use an ISR or a very restricted task (with very short bursts of runtime only) at the highest priority (24).

Any task that does TCP/IP network operations should run at a lower priority than the lwIP TCP/IP task (18) to avoid priority-inversion issues.

With a few exceptions, most importantly the lwIP TCP/IP task, in the default configuration most built-in tasks are pinned to Core 0. This makes it quite easy for the application to place high priority tasks on Core 1. Using priority 19 or higher guarantees that an application task can run on Core 1 without being preempted by any built-in task. To further isolate the tasks running on each CPU, configure the lwIP task to only run on Core 0 instead of either core, which may reduce total TCP/IP throughput depending on what other tasks are running.

Note

Setting a task to always run in preference to built-in ESP-IDF tasks does not require pinning the task to Core 1. Instead, the task can be left unpinned and assigned a priority of 17 or lower. This allows the task to optionally run on Core 0 if there are no higher-priority built-in tasks running on that core. Using unpinned tasks can improve the overall CPU utilization, however it makes reasoning about task scheduling more complex.

Note

Task execution is always completely suspended when writing to the built-in SPI flash chip. Only IRAM-Safe Interrupt Handlers continues executing.

Improving Interrupt Performance

ESP-IDF supports dynamic Interrupt Allocation with interrupt preemption. Each interrupt in the system has a priority, and higher-priority interrupts preempts lower priority ones.

Interrupt handlers execute in preference to any task, provided the task is not inside a critical section. For this reason, it is important to minimize the amount of time spent in executing an interrupt handler.

To obtain the best performance for a particular interrupt handler:

  • Assign more important interrupts a higher priority using a flag such as ESP_INTR_FLAG_LEVEL2 or ESP_INTR_FLAG_LEVEL3 when calling esp_intr_alloc().

  • If you are sure the entire interrupt handler can run from IRAM (see IRAM-Safe Interrupt Handlers) then set the ESP_INTR_FLAG_IRAM flag when calling esp_intr_alloc() to assign the interrupt. This prevents it being temporarily disabled if the application firmware writes to the internal SPI flash.

  • Even if the interrupt handler is not IRAM-safe, if it is going to be executed frequently then consider moving the handler function to IRAM anyhow. This minimizes the chance of a flash cache miss when the interrupt code is executed (see Targeted Optimizations). It is possible to do this without adding the ESP_INTR_FLAG_IRAM flag to mark the interrupt as IRAM-safe, if only part of the handler is guaranteed to be in IRAM.

Improving Network Speed

Improving I/O Performance

Using standard C library functions like fread and fwrite instead of platform specific unbuffered syscalls such as read and write can be slow.These functions are designed to be portable, so they are not necessarily optimized for speed, have a certain overhead and are buffered.

FAT Filesystem Support specific information and tips:

  • Maximum size of the R/W request = FatFS cluster size (allocation unit size).

  • Use read and write instead of fread and fwrite.

  • To increase speed of buffered reading functions like fread and fgets, you can increase a size of the file buffer (Newlib's default is 128 bytes) to a higher number like 4096, 8192 or 16384. This can be done locally via the setvbuf function used on a certain file pointer or globally applied to all files via modifying CONFIG_FATFS_VFS_FSTAT_BLKSIZE.

    Note

    Setting a bigger buffer size also increases the heap memory usage.

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