In TCL FPGA Wizards Trust
In TCL FPGA wizards trust. The best way to learn TCL is exposure therapy which we will be doing here using two examples: One for creation of a project with synthesis and implementation steps and another for simulation.
How to Implement Image Processing Algorithms in FPGA Hardware
Recognized for their parallelism and reconfigurability, FPGAs prove ideal for real-time processing in medical imaging and computer vision. The step-by-step approach starts with understanding FPGA basics, emphasizing their reconfigurable nature and parallel processing. It guides users in algorithm selection based on factors like processing speed, resource utilization, and adaptability, then highlights designing modular and scalable algorithms. The process includes simulation for verification, synthesis using tools like Xilinx Vivado and Intel Quartus Prime, interfacing with image sensors, and testing on real hardware. The conclusion underscores FPGA's advantages in image processing, presenting ongoing opportunities for innovation in diverse industries.
What does it mean to be 'Turing complete'?
The term "Turing complete" describes all computers and even some things we don't expect to be as powerful as a typical computer. In this article, I describe what it means and discuss the implications of Turing completeness on projects that need just a little more power, on alternative processor designs, and even security.
Square root in fixed point VHDL
In this blog we will design and implement a fixed point square root function in VHDL. The algorithm is based on the recursive Newton Raphson inverse square root algorithm and the implementation offers parametrizable pipeline depth, word length and the algorithm is built with VHDL records and procedures for easy use.
Mastering Modern FPGA Skills for Engineers
In the rapidly evolving tech industry, engineers must acquire proficiency in modern FPGA skills. These skills empower engineers to optimize designs, minimize resource usage, and efficiently address FPGA design challenges while ensuring functionality, security, and compliance.
FPGA skills for the modern world
FPGA demand is booming across industries from automotive to edge AI, and employers want engineers who can think in hardware. This post explains the mindset shift to RTL-level, concurrent design, waveform-based debugging with ILAs, and modern verification flows. It also highlights the practical skills that make you marketable, including HDLs, SoC/Linux integration, RISC-V know-how, and high-speed design techniques.
Three more things you need to know when transitioning from MCUs to FPGAs
Take a look at three more important difference between FPGAs and MCUs: "code reuse" vs templating, metastability and blocking vs. non-blocking operations.
Jumping from MCUs to FPGAs - 5 things you need to know
Are you a microcontroller expert beckoned by the siren song of the FPGA? Not long ago, that was me. FPGA-expert friends of mine regularly extolled the virtues of these mysterious components and I wanted in. When I made the leap, I found a world seemingly very familiar, but in reality, vastly different. I found that my years of C programming and microcontroller use often gave pre preconceived interpretations of FPGA resource material which resulted in eye-roll class mistakes in my code. I’ve gleaned five things of vital importance to help you make that transition faster than I did.
Fit Sixteen (or more) Asynchronous Serial Receivers into the Area of a Standard UART Receiver
Michael Morris shows how to pack many asynchronous serial receivers into the area of a single UART by treating FPGA LUTs as writable storage and sharing logic. Using a 4-bit channel counter, microprogrammed state machine, and time-multiplexed baud/sample resources, he fits 16 receive channels (12 used for Caller ID) into a Spartan II XC2S30 and explains input synchronization, filtering, and the multi-channel FIFO approach.
Use Microprogramming to Save Resources and Increase Functionality
Microprogramming can rescue an overfull FPGA, Michael Morris shows, by compressing control logic and time-multiplexing FIFO storage. He replaces an ABEL state machine with a small microprogram ROM that uses block RAM for deep Rx/Tx FIFOs and LUT RAM for pointers and counters, freeing about 25 percent of the device. The article includes Verilog comparisons, resource tables, and a microassembler link to reproduce the approach.
In TCL FPGA Wizards Trust
In TCL FPGA wizards trust. The best way to learn TCL is exposure therapy which we will be doing here using two examples: One for creation of a project with synthesis and implementation steps and another for simulation.
How FPGAs work, and why you'll buy one
Yossi Kreinin argues that FPGAs are no longer just programmable gate arrays, they are becoming a mainstream programmable acceleration and I/O platform. The article explains how modern FPGAs pair a sea of LUTs and switch boxes with DSP slices, RAMs, and hard CPUs to deliver massive parallelism, deterministic timing, and surprising energy efficiency, and it includes a readable Verilog convolution example to show how this works in practice.
How to Implement Image Processing Algorithms in FPGA Hardware
Recognized for their parallelism and reconfigurability, FPGAs prove ideal for real-time processing in medical imaging and computer vision. The step-by-step approach starts with understanding FPGA basics, emphasizing their reconfigurable nature and parallel processing. It guides users in algorithm selection based on factors like processing speed, resource utilization, and adaptability, then highlights designing modular and scalable algorithms. The process includes simulation for verification, synthesis using tools like Xilinx Vivado and Intel Quartus Prime, interfacing with image sensors, and testing on real hardware. The conclusion underscores FPGA's advantages in image processing, presenting ongoing opportunities for innovation in diverse industries.
Square root in fixed point VHDL
In this blog we will design and implement a fixed point square root function in VHDL. The algorithm is based on the recursive Newton Raphson inverse square root algorithm and the implementation offers parametrizable pipeline depth, word length and the algorithm is built with VHDL records and procedures for easy use.
Jumping from MCUs to FPGAs - 5 things you need to know
Are you a microcontroller expert beckoned by the siren song of the FPGA? Not long ago, that was me. FPGA-expert friends of mine regularly extolled the virtues of these mysterious components and I wanted in. When I made the leap, I found a world seemingly very familiar, but in reality, vastly different. I found that my years of C programming and microcontroller use often gave pre preconceived interpretations of FPGA resource material which resulted in eye-roll class mistakes in my code. I’ve gleaned five things of vital importance to help you make that transition faster than I did.
What does it mean to be 'Turing complete'?
The term "Turing complete" describes all computers and even some things we don't expect to be as powerful as a typical computer. In this article, I describe what it means and discuss the implications of Turing completeness on projects that need just a little more power, on alternative processor designs, and even security.
Mastering Modern FPGA Skills for Engineers
In the rapidly evolving tech industry, engineers must acquire proficiency in modern FPGA skills. These skills empower engineers to optimize designs, minimize resource usage, and efficiently address FPGA design challenges while ensuring functionality, security, and compliance.
FPGA skills for the modern world
FPGA demand is booming across industries from automotive to edge AI, and employers want engineers who can think in hardware. This post explains the mindset shift to RTL-level, concurrent design, waveform-based debugging with ILAs, and modern verification flows. It also highlights the practical skills that make you marketable, including HDLs, SoC/Linux integration, RISC-V know-how, and high-speed design techniques.
Use Microprogramming to Save Resources and Increase Functionality
Microprogramming can rescue an overfull FPGA, Michael Morris shows, by compressing control logic and time-multiplexing FIFO storage. He replaces an ABEL state machine with a small microprogram ROM that uses block RAM for deep Rx/Tx FIFOs and LUT RAM for pointers and counters, freeing about 25 percent of the device. The article includes Verilog comparisons, resource tables, and a microassembler link to reproduce the approach.
Three more things you need to know when transitioning from MCUs to FPGAs
Take a look at three more important difference between FPGAs and MCUs: "code reuse" vs templating, metastability and blocking vs. non-blocking operations.
How FPGAs work, and why you'll buy one
Yossi Kreinin argues that FPGAs are no longer just programmable gate arrays, they are becoming a mainstream programmable acceleration and I/O platform. The article explains how modern FPGAs pair a sea of LUTs and switch boxes with DSP slices, RAMs, and hard CPUs to deliver massive parallelism, deterministic timing, and surprising energy efficiency, and it includes a readable Verilog convolution example to show how this works in practice.
Square root in fixed point VHDL
In this blog we will design and implement a fixed point square root function in VHDL. The algorithm is based on the recursive Newton Raphson inverse square root algorithm and the implementation offers parametrizable pipeline depth, word length and the algorithm is built with VHDL records and procedures for easy use.
Fit Sixteen (or more) Asynchronous Serial Receivers into the Area of a Standard UART Receiver
Michael Morris shows how to pack many asynchronous serial receivers into the area of a single UART by treating FPGA LUTs as writable storage and sharing logic. Using a 4-bit channel counter, microprogrammed state machine, and time-multiplexed baud/sample resources, he fits 16 receive channels (12 used for Caller ID) into a Spartan II XC2S30 and explains input synchronization, filtering, and the multi-channel FIFO approach.
Use Microprogramming to Save Resources and Increase Functionality
Microprogramming can rescue an overfull FPGA, Michael Morris shows, by compressing control logic and time-multiplexing FIFO storage. He replaces an ABEL state machine with a small microprogram ROM that uses block RAM for deep Rx/Tx FIFOs and LUT RAM for pointers and counters, freeing about 25 percent of the device. The article includes Verilog comparisons, resource tables, and a microassembler link to reproduce the approach.
In TCL FPGA Wizards Trust
In TCL FPGA wizards trust. The best way to learn TCL is exposure therapy which we will be doing here using two examples: One for creation of a project with synthesis and implementation steps and another for simulation.
Designing Embedded System with FPGA - 1
Getting an embedded system running on an FPGA is much simpler than it sounds when you use Xilinx EDK and a soft processor. Pragnesh Patel walks through a beginner-friendly approach using the MicroBlaze CPU, drag-and-drop IP cores, and a Spartan-3E starter kit so you can assemble peripherals without deep VHDL knowledge. The post focuses on the EDK base system builder and first setup steps to generate a working design.
Jumping from MCUs to FPGAs - 5 things you need to know
Are you a microcontroller expert beckoned by the siren song of the FPGA? Not long ago, that was me. FPGA-expert friends of mine regularly extolled the virtues of these mysterious components and I wanted in. When I made the leap, I found a world seemingly very familiar, but in reality, vastly different. I found that my years of C programming and microcontroller use often gave pre preconceived interpretations of FPGA resource material which resulted in eye-roll class mistakes in my code. I’ve gleaned five things of vital importance to help you make that transition faster than I did.
How to Implement Image Processing Algorithms in FPGA Hardware
Recognized for their parallelism and reconfigurability, FPGAs prove ideal for real-time processing in medical imaging and computer vision. The step-by-step approach starts with understanding FPGA basics, emphasizing their reconfigurable nature and parallel processing. It guides users in algorithm selection based on factors like processing speed, resource utilization, and adaptability, then highlights designing modular and scalable algorithms. The process includes simulation for verification, synthesis using tools like Xilinx Vivado and Intel Quartus Prime, interfacing with image sensors, and testing on real hardware. The conclusion underscores FPGA's advantages in image processing, presenting ongoing opportunities for innovation in diverse industries.
FPGA skills for the modern world
FPGA demand is booming across industries from automotive to edge AI, and employers want engineers who can think in hardware. This post explains the mindset shift to RTL-level, concurrent design, waveform-based debugging with ILAs, and modern verification flows. It also highlights the practical skills that make you marketable, including HDLs, SoC/Linux integration, RISC-V know-how, and high-speed design techniques.
Mastering Modern FPGA Skills for Engineers
In the rapidly evolving tech industry, engineers must acquire proficiency in modern FPGA skills. These skills empower engineers to optimize designs, minimize resource usage, and efficiently address FPGA design challenges while ensuring functionality, security, and compliance.
