Setting Up External Flash for Cortex-M1 Instruction Fetch

The Cortex-M1 processor supports instruction fetch from external flash memory. This allows for larger and more complex programs to be run than would fit in the processor’s internal flash memory. Setting up external flash requires configuring the memory interface and ensuring the instruction fetch mechanism can access the external memory correctly. Overview of Cortex-M1 Instruction

File System Limitations on Cortex-M1 in FPGA Implementations

The Cortex-M1 processor from ARM is a popular choice for FPGA implementations due to its small footprint and low power consumption. However, when implementing the Cortex-M1 in an FPGA, there are some limitations that need to be considered regarding the file system support. Limited Internal Memory One of the biggest limitations of the Cortex-M1 is

Implementing File I/O on Cortex-M1 without an OS or Filesystem

The Cortex-M1 processor from ARM is a powerful 32-bit chip well-suited for embedded applications. However, it lacks support for filesystems and OS capabilities out of the box. This presents challenges for implementing file I/O, as traditional approaches rely on having an OS and filesystem available. Despite this limitation, with careful planning it is possible to

Mapping the Cortex-M0 DesignStart Core to Different FPGA Families

The Cortex-M0 processor from ARM is a popular 32-bit RISC core aimed at microcontroller and deeply embedded applications requiring low power consumption and design simplicity. The Cortex-M0 DesignStartTM program from ARM provides a pre-verified digital IP core which engineers can use to implement a Cortex-M0 based system-on-chip (SoC) design targeting FPGA or ASIC technology. When

Cortex-M0 DesignStart Core Logic Utilization on Low-Cost FPGAs

The Cortex-M0 DesignStart core from ARM is an ultra low power 32-bit RISC processor that is optimized for low cost and small footprint FPGA implementations. By utilizing the DesignStart core on a low-cost FPGA, developers can quickly prototype an embedded system and evaluate the Cortex-M0 performance for their application. This article will examine the logic

Avoiding Memory Corruption Issues in Embedded Systems

Memory corruption is a common issue that can plague embedded systems developers. These problems arise when memory is accessed incorrectly or outside of its allocated bounds, leading to unexpected behavior and crashes. Preventing memory corruption requires strategies like proper memory management, input validation, and testing. Use a Memory Protection Unit A memory protection unit (MPU)

Configuring Memory and Caches for Arm Cortex-R4

The Arm Cortex-R4 is a 32-bit RISC processor optimized for real-time applications. Configuring the memory and caches properly is key to achieving optimal performance. This article provides a comprehensive guide on configuring the memory and caches when working with the Cortex-R4 processor. Overview of Cortex-R4 Memory and Caches The Cortex-R4 contains separate instruction and data

Incorrect Code Generation by GNU-ARM Compiler for Cortex-M0/M0+/M1

The GNU Arm Embedded Toolchain, also known as GNU Tools for Arm Embedded Processors, is a suite of open source software development tools for creating software for Arm Cortex-M and Cortex-R family processors. It includes the Arm Embedded GCC compiler, linker, assembler, and other tools needed to build software for these devices. However, some users

Setting Up Thumb vs ARM Instruction Fetching on Cortex-M1

The Cortex-M1 processor from ARM can execute both Thumb and ARM instructions. The processor starts up in Thumb mode by default, but it is possible to switch between Thumb and ARM modes at runtime. This allows mixing 16-bit Thumb and 32-bit ARM instructions to optimize code size and performance. Thumb vs ARM Instructions Thumb instructions

Options for Exporting Code Coverage Results from Keil μVision

Keil μVision is a popular integrated development environment (IDE) used for developing and debugging embedded applications based on ARM Cortex microcontrollers. One useful feature it provides is code coverage analysis, which shows how much of your source code is executed during testing. μVision can generate detailed code coverage reports, but it does not directly support