Managing FPGA projects often feels like solving a high-stakes puzzle. With tight deadlines and complex requirements, balancing efficiency and quality is critical for success. For engineering managers, product managers, and technical decision-makers, here are 3 strategies to streamline your FPGA design workflow and boost productivity: 1️⃣ Balance HDL and Graphical Design Entry Methods HDL (e.g., VHDL, Verilog, SystemVerilog) gives you precision and control for complex logic but could slow you down for less critical blocks. Graphical Design Tools (e.g., block designs, IP integrators) speed up implementation and reduce manual errors. 🛠 The key? Use the right approach for each task: HDL for performance-critical modules and graphical tools for faster integration and visualization. 2️⃣ Modular Design and Code Reusability Break your FPGA design into smaller, reusable modules to simplify development and testing. Leverage parameterized components to adapt modules for future projects. Build a repository of verified, reusable IP blocks—saving time and reducing errors on every new project. 3️⃣ Streamline the Design Process Automate repetitive tasks like simulation, synthesis, and verification with scripts. Use version control (e.g., Git) to collaborate efficiently and avoid file chaos. Adopt CI/CD pipelines for FPGA: continuous testing catches design errors early and keeps your project on track. This ability is a big advantage of an FPGA over an ASIC. 🔑 Why it matters: Optimized workflows mean faster turnaround times, fewer errors, and happier engineering teams. What techniques are you using to streamline your FPGA design process? Are there tools or workflows that have made a big difference for your team? Let’s share ideas and set a new standard for efficiency in FPGA projects. #fpgadesign #fpga #hardwaredesign #productdevelopment #innovation

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💡Considering getting started with Magmio | Switch Gears Now?💡 🔵Our "Magmio software model" allows you to simulate the entire FPGA pipeline in C++. This means that everything will look and behave like a physical hardware API. 🔵Using the Vivado HLS compiler, you can effortlessly convert C++ to VHDL. You can also check the exact latency and resource consumption without running the strategy on an actual FPGA chip, all without paying the full cost of the license. For more information, please read the document provided below.👇👇👇 ⏩SwitchGearsNow | magmio.com #hft #FPGA #Cplusplus #vhdl #vivado #magmio

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What tools do you use during FPGA development?

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How many times have you started a new FPGA project full of excitement and ambition, only for the end result to not be exactly how you hoped? Sometimes, it’s easy to get ahead of ourselves, and rush forward before looking at the big picture. But reality doesn’t have to fall short of ambition. This is where effectively assessing a project can help. - Aligning Company Goals: The first step is to compare the new project’s aims with your overall company goals – do they align? How does taking on this new work bring your company forward? - Assessing Your Resources: No two projects are created the same, and every new FPGA project will require a different amount of resources – make sure you have the time and energy needed to take a project all the way up the mountain of success. - Establish a Timeline: One way to kill ambitious targets is “crunch time”. Avoid the stress of falling behind schedule by establishing a clear, and more importantly realistic timeline before starting. If you follow these steps, dragging your project up the mountain to the peak of your ambition should become much less of a slog, and more of a satisfying climb to the top. Now I want to hear from you – do you always spend the necessary time assessing new FPGA projects before taking them on? Have you ever had to rethink a new FPGA project because of your initial assessment? Let me know in the comments below! #fpgadesign #fpga #hardwaredesign #productdevelopment #innovation

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An underfunded FPGA project doesn’t help save money – it wastes it. It wastes time, money, and employee productivity like you wouldn’t believe. Most people know of some of the dangers of underfunding. It can lead to burnout, cutting corners, and a lack of innovation or good ideas. After all, you can’t drive a car once it runs out of fuel. But that’s not all. Underfunded projects often suffer from stop-start syndrome, meaning the money runs out, all work pauses, and starts again several months later when more funding arrives. This falls into the trap of context switching, seeing your team have to disengage and then reengage with the project over and over again. Given that 45% report being less productive while context switching, this is not ideal. You wouldn’t want to land a plane three separate times along the route before you reached your destination. In the long run, underfunded FPGA projects cost more, see more mistakes, lower worker productivity and bring down morale. Have you ever had to deal with an underfunded FPGA project? Let me know how your experience was – I’m sure most people in the FPGA industry (me included) have seen this first-hand. #fpgadesign #fpga #hardwaredesign #productdevelopment #innovation

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How does the power get to the microprocessor within the (General-Velocity-360-Wave-Compact-Disk) and this is some of its abstracts, it will need power to run the processer A microprocessor is a very small processing unit inside a CPU. It's a single integrated circuit on a computer chip, now inside A disk indent for the spoil to spin the disk that performs various arithmetic and logic functions on digital signals. Several dozen microprocessors work together inside high-performing servers for data processing and analytics. solid forms developed from a chiral compound and purified from racemic mixtures can be crystallographically unique. Solid-state racemic mixtures may exist as a racemic compound (a racemate) where enantiomers are present within a single crystal structure, or as a conglomerate (a physical mixture of two crystal phases in equivalent amounts) each containing single enantiomers. We have extensive experience in both the characterization of these materials as well as development of approaches for resolution. Just as the same as A Layer of cadmium by the molecules so is say of------ crystalline solid forms - polymorphs, salts,cocrystals.water will interject the energy need like the dey colors https://lnkd.in/ehQaimXJ A crystalline API needs to exhibit consistent physical properties when made at each stage of the development process (gram to multi-kilogram scales). In doing so, formulation-development problems are minimized and regulatory requirements are met. Triclinic is experienced in the generation of crystallization methods, including the background information necessary to impart solid form control (polymorphic form, particle size, etc). crystallization in chemistry, Chiral Resolution, and chemical Purity. When problems arise in commercialization or scale up, we can quickly help you get your program back on track by identifying a robust and scalable method to consistently control the desired solid form during manufacturing. For a complete discussion on crystallization method development and its applications, please click up above for a more extensive review. crystalline API

Dependable traffic sensors are made by #smartmicro.

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Hi Petr, I need your book recommendation for circuits design. I have the academic backgrounds of Electronics, Schematic, Digital Logic, Firmware, FPGA, and Software. I didn’t practice RF and circuit design yet. Hello John, Thank you for the message. I am happy that you want to improve your skills. That's brilliant. I don't have a book recommendation for you. I have something better for you. I have some tips for you 1. Pick a project that you want to work on. Are you new to RF? Pick a project from the RF field. 2. Work on it. Do you hit a wall or an issue? Study. Formulate your issue and ask on social media. Find a subject matter expert and ask them. 3. When finished with the project, go to point 1. 💡 If you like my work and would like to transform your ideas into an actual product, 𝗳𝗲𝗲𝗹 𝗳𝗿𝗲𝗲 𝘁𝗼 𝘀𝗲𝗻𝗱 𝗺𝗲 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 here on LinkedIn or 𝐚𝐧 𝐞-𝐦𝐚𝐢𝐥 to the address in the profile💡 #showyourwork #hwidvorakinfo #whoisjohngalt #thatkicadguy

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💡PCB Design: Open Source vs Commercial CAD In Promwad, electronics design house, we worked with open-source and commercial CAD software for PCB design. Specifically, we've used KiCad and Altium Designer extensively. Here, I compare these tools based on our project experiences, focusing on performance, cost, and usability. Recently, we completed two pretty simple projects, which included schematic and PCB layout. Our customers requested to use KiCAD and Altium, respectively. Thus, it was a good opportunity to compare the performance of KiCad and Altium Designer. A 5-year experienced hardware engineer and a 5-year experienced PCB layout designer implemented both projects. As we see on the second slide, it took 50% longer to do work in KiCAD. Why is that? As a result of two factors: the hands-on experience of our specialists with Altium and slightly different project requirements. #KiCad, an open-source PCB design tool, is a robust and flexible solution that has gained significant traction in engineering. While KiCad offers extensive customisation and a vast library of components, the lack of advanced automation features slightly increased design time. Pros: ➕ Cost: free to use, an excellent option for startups and hobbyists. ➕ Customisation: highly customisable with a strong community supporting plugins and add-ons. ➕ Open source: continuous improvements and updates driven by the community. Cons: ➖ Learning curve: steeper learning curve compared to some commercial tools. ➖ Performance: needs some advanced automation and productivity features, leading to longer design times. ➖ Support: community-driven support can be slower and less reliable than professional customer service. On the other hand, #Altium, a commercial CAD software, allowed us to complete a similar project significantly faster. Pros: ➕ Advanced features: rich in automation and productivity tools, significantly reducing design time. ➕ Usability: user-friendly interface with extensive documentation and tutorials. ➕ Support: professional customer support and regular updates. Cons: ➖ Cost: high upfront and subscription costs, which may be prohibitive for small teams and startups. ➖ Licensing: licensing fees can be a significant expense over time. The choice between KiCad and Altium Designer depends on your needs, project budgets and team capabilities. If you have a simple one-time project with 2-4 pcb layers, KiCad can deliver great results. However, if you have more complex projects ongoing constantly, then Altium with its speed, automation features and professional support, is more preferred. Feel free to share your experiences and thoughts on using these tools in the comments! #PCBDesign #OpenSource #CAD

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Nordic Semiconductor's nPM1300 Evaluation Kit empowers you to model and estimate battery charge with voltage, current, and temperature monitoring. Take advantage of pre-programmed models, and create your own without touching code – via the nRF Connect desktop app, nPM PowerUP app, and nPM Fuel Gauge Board constant current sink hardware add-on. The nPM1300 EK breaks out this highly accurate, power-efficient PMIC with probe loops, pin headers, and user-programmable buttons and LEDs. Alex Glow takes a look!

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Not everything we do is FPGA, we do develop a lot of software, often targeting Rad Hard processors like the SAMRH71. I like the SAMRH71 as it has a support for a lot of interfaces commonly used in space applications e.g. SpaceWire, 1553B, Ethernet etc it is great for control plane applications. In this blog I am taking a look at getting the SAMRH71 up and running. https://lnkd.in/eh-VYPaY

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So what is the first step to go to embedded linux? compiling u-boot and linux kernel? draw ARM Cortex-A processor PCB? use SOM and draw your own carrier board...

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We are going to kick of 2025 with a webinar looking at clocking and clock domain crossing. A very important aspect of our FPGA development. Register here https://lnkd.in/egtDEH6s #fpga #electronics #embeddedsystems #engineering #embeddedsoftware

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No twista on the board this time, but this is the updated PCB. This will be used for testing mainly, and the resemblance to Mikroe's PCB is just an imaginative perception. I blame it on the MikroBus headers. Heinrich Smit is working on an IoT platform, and this is something quick to get the ball rolling. HavenTechnik will refine the offering and most likely update the processor to the PIC18F67K40 which has 5 comports - this is better suited to a gateway or we will explore other options to improve the offering. HavenTechnik is an embedded consultancy with a proclivity for #8BIT design and is PIC Micro-centric. We offer #IoT, #PLC-styled automation control solutions and #RF, #Wifi, and #GSM-based solutions. Analog systems development options are provided as well. Our offering extends into development boards for the PIC #16F | #18F device families, and #automation_systems. info here: www.haventechnik.com buy here: www.haventechnik.biz email:contactus@haventechnik.com #embedded #picmicrocontroller #8bit #automation #systems #analog #wifi #rf

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Testing the I2C of the PIC18F45K50 with PCF8574 expanders, the first IC has the INT pin with a pull-up resistor, and when a falling edge occurs, an interrupt is triggered. The first slave reads the pin states, and the read states are then written to the output of the second slave. #PIC18F45K50 #I2C #Proteus #EmbeddedSystems

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Great series with explanations comparing related but different RF instruments.

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1. ROM (Read-Only Memory): Used to store firmware, including the PLC's operating system. This memory is not modifiable during operation. 2. RAM (Random Access Memory): Used to store temporary data during program execution. Its content is erased when power is lost. 3. EEPROM (Electrically Erasable Programmable Read-Only Memory): Stores programs and data that need to be retained after power loss. It is modifiable. 4. Flash Memory: Found in modern PLCs, used for program storage. It is similar to EEPROM but with larger capacity. 5. Battery-Backed Memory: Maintains data during power outages using a built-in battery.

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This is a nice example of compact product design and problem-solving. Maybe there is an analogy about consolidation and integration between electronics and AI: in electronics there is a flow of electrons - with an AI neural network, there is a flow of data. And the two converge: what they found with electronics is that you could control the flow of electrons in such a way that you can do math and logic - when the flow goes a certain direction or the signal is changed, these fluctuations can be counted to calculate and do math. For thousands of years counting has been done with things like an abacus - moving beads to represent quantities. So physical calculating machines evolved and then with electronics and an early component called a transistor, calculations could be done through routing electricity - like an abacus with electrons. So electrical components like motors and light bulbs are connected often by wires, but “surface mount” electronics came along and you had a “board” or PCB, which you might have seen. So there was integration and consolidation - instead of wires more circuits were connected with a line of solder on the the surface of a board. Something like if you drizzled chocolate sauce on a cake between two candies. Then, integrated circuits (ding ding ding - integration) became a smaller way to make circuits and do calculations - so more could be done in less space, with a “chip”, which looks like a little bug. And then a race began to pack more and more into a smaller space. I am wondering if this might be an analogy for the automation side of AI - you might have manual processes (like larger circuits on a board), and then when you review them, you can automate them through consolidation. I’m not sure the analogy works - but it is at least a process of looking at the conventional way of doing things and reducing the amount of steps or amount of space required. What is fun about this robot is that it certainly uses chips, but because it is a physical device with motion, normally with extended parts some kind of wiring is needed (like nerves running from your brain to your limbs). The wires allow little motors called servos to move parts of a robot. Like wiggling a toe. Yet in this case, instead of wires, the physical design of the robot allows the circuit to be done on the board. It’s a unique innovation. I definitely agree with engineers like Kendrick Wiersma that hands on lab learning is the best way to learn things, especially if by nature you like working with physical, tactile, mechanical things. Maybe you might enjoy playing with robots and using AI to control them more than working “theoretically” with data. Or as a former colleague Corey Gaffney remarked, you might choose to work with code or software by day, but possibly enjoy exploring electronics as a hobby. The key thing is to explore, and see what sets your mind on fire.

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My man Chamodh Madusanka is back with design review number 2, and this time he's improving one of my designs with CP2102 from Silicon Labs! There are a couple things I might have changed in the schematics, but overall these are nice additions to the original design. Want to have your design reviewed on the Altium® Academy channel? Send me a message with your design files or your manufacturing files. https://lnkd.in/gpxHvWA3 #electronicsengineering #usb #pcbdesign

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