Xilinx Spartan Category - CNX Software

November 26, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

AMD Spartan UltraScale+ SU35P FPGA evaluation kit supports Raspberry Pi, Arduino, Mikrobus, and Pmod expansion

AMD’s SCU35 Evaluation Kit is an affordable ($229) development board powered by the AMD Spartan UltraScale+ SU35P FPGA device, which targets low-power industrial, medical, and data center applications requiring I/O expansion and board management capabilities. Designed for headless applications, the board features a 10/100 Mbps Ethernet port and a USB-C port for power, as well as plenty of headers and connectors compatible with off-the-shelf expansion boards or modules, including Arduino UNO headers, two 40-pin Raspberry Pi GPIO headers, two Mikrobus headers, four Pmod connectors, and an HSIO board-to-board connector. AMD SCU35 evaluation kit specifications: FPGA – AMD Spartan Ultrascale+ SU35P (XCSU35P-2SBVB625E) 36K Logic Cells 304 Max Total I/O• Board Management Controller Memory – 1.93 Mb on-chip memory Memory – 64 Mbit HyperRAM Storage 128 Mbit QSPI flash 64 Kbit EEPROM Networking – 10/100Mbps Ethernet RJ45 port Sensor – 3-axis linear accelerometer Expansion Arduino UNO headers 2x 40-pin Raspberry Pi […]

August 6, 2025 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

FPGA-based Modos Paper Dev Kit supports a wide range of E-Ink displays, up to 75 Hz refresh rate (Crowdfunding)

Modos Paper Grayscale or Color E-Ink displays

Modos Paper Dev Kit helps users create an open-hardware E-Ink monitor with a fast 75 Hz refresh rate and low latency thanks to a Xilinx Spartan-6 FPGA driver board, and compatibility with a wide and of E-Ink displays between 4-inch and 42-inch in size. The resulting grayscale or color E-ink monitor can be connected through HDMI or USB and works on Linux, macOS, and Windows. Modos Paper driver board specifications: FPGA – AMD/Xilinx Spartan-6 LX16 FPGA running Caster gateware Memory – DDR3-800 framebuffer memory MCU – STMicro STM32H750 Arm Cortex-M7 microcontroller for USB communication, firmware upgrades, and standalone applications. Processing rate up to 133 MP/s when error-diffusion dithering is enabled, and 200 MP/s when disabled Supported Displays – 4-inch to 42-inch E-Ink displays without integrated TCON; See long list on GitHub Video Input USB Type-C DisplayPort Alt-Mode with on-board PTN3460 decoder microHDMI connector for DVI video input with on-board ADV7611 […]

March 8, 2024March 8, 2024 by Tomisin Olujinmi - No Comments

AMD announces the Spartan UltraScale+ FPGA family for cost-sensitive and IO-intensive applications

The Spartan UltraScale+ FPGA family is the latest inclusion to AMD’s Cost-Optimized portfolio, a series of FPGAs designed to balance cost, power, and form factor with affordability. The UltraScale+ FPGA family is designed for cost-sensitive, low-power applications requiring high I/O count and substantial security. Devices in the Spartan UltraScale+ family offer a high I/O to logic cell ratio for FPGAs built in 28nm and lower process technology (the highest in the industry, according to AMD), consume up to 30% less power than compared to the previous generation, and feature robust security features that outclass the rest of the Cost-Optimized portfolio. This FPGA family is built on the same UltraScale+ architecture as previous Artix and Zynq products. They are the first AMD UltraScale+ FPGAs to feature a hardened DDR memory controller and PCIe Gen4 x8 support, “providing both power efficiency and future-ready capabilities for customers.” AMD Spartan UltraScale+ specifications: System Logic […]

February 23, 2024February 22, 2024 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

LibreVNA open-source USB vector network analyzer (VNA) works in the 100kHz to 6GHz range

LibreVNA Open source hardware vector network analyzer vna

Jan Käberich’s LibreVNA is an open-source hardware USB vector network analyzer (VNA) based on a Spartan-6 FPGA, an STM32 microcontroller, and RF circuitry with MAX2871 and Si5351C chips. The open-source VNA supports two channels and works in the 100kHz to 6GHz frequency range. Vector network analyzers are expensive pieces of electronic test equipment used to measure the magnitude and phase of high-frequency electrical networks costing several thousand dollars. They are commonly used in radio frequency (RF) and microwave engineering applications. Last year, we wrote that Pico Technology released PicoVNA 5 software for Linux, Raspberry Pi, and macOS instead of only providing a Windows program for their commercial PicoVNA devices. I thought it was already a good development even if it was closed-sourced, but LibreVNA goes all the way with an open-source hardware design with hardware design files, the FPGA code, STM32 firmware, and PC software (GUI) all open-source. LivreVNA hardware […]

June 28, 2022 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

MNT Pocket Reform 7-inch modular mini laptop takes a range of Arm (and FPGA) modules

MNT Pocket Reform is an open-source hardware mini laptop with a 7-inch Full HD display, an ortholinear mechanical keyboard, and trackball, that follows the path of its older and bigger sibling: the MNT Reform 2 laptop initially launched with an NXP i.MX 8M quad-core Arm Cortex-A53 module. The new laptop will not only support a similar “NXP i.MX 8M Plus” module but also a range of other Arm modules namely an NXP Layerscape LS1028A module with up to 16GB RAM, the Raspberry Pi CM4 module via an adapter, Pine64 SOQuartz (RK3566, up to 8GB RAM), as well as based on AMD Xilinx Kintex-7 FPGA for industrial use. MNT Pocket Reform specifications: Available system-on-modules Standard: NXP i.MX 8M Plus quad-core Arm Cortex-A53 @ 1.8GHz with 4 or 8 GB DDR4, Vivante GC7000UL GPU, 2.3 TOPS NPU NXP Layerscape LS1028A dual-core Arm Cortex-A72 with 8 or 16GB DDR4, Vivante GC7000UL GPU Raspberry […]

March 10, 2021 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Xilinx open sources Vitis HLS FPGA tool (Front-end only)

While there are some open-source programs for FPGA development such as Symbiflow or Yosys, FPGA vendors usually only provide closed-source programs for developers wanting to work on their chips. But Xilinx has recently made a move to fulfill its “commitment to supporting open-source initiatives for developers and researchers” with the release of the source code of Vitis HLS Front-End. What is Vitis HLS exactly? Before we look at the source code release, we may want to know what Vitis HLS does exactly. The company describes it as a high-level synthesis (HLS) tool that allows C, C++, and OpenCL functions to become hardwired onto the device logic fabric and RAM/DSP blocks. It implements hardware kernels in the Vitis application acceleration development flow, and to use C/C++ code for developing RTL IP for FPGA designs in the company’s Vivado Design Suite. Vitis HLS design flow goes as follows: Compile, simulate, and debug […]

November 3, 2020December 15, 2020 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Precursor is a mobile, open hardware, dual FPGA development kit (Crowdfunding)

Precursor mobile open-source dual FPGA devkit

Sutajio Ko-usagi PTE LTD has launched some interesting hardware on Crowd Supply over the years include Novena open-source hardware Arm laptop, and Fomu FPGA USB board. The company is now back with another project: Precursor, a mobile, open-source hardware devkit powered by not one, but two FPGA with Xilinx Spartan 7-Series FPGA, plus a super-low-power Lattice iCE40 UP5K FPGA for deep-sleep system management. The device also comes with a display, battery, and keyboard that make it looks like older Palm or Blackberry phones. Precursor FPGA devkit specifications: FPGA Xilinx XC7S50 primary System on Chip (SoC) FPGA with -L1 speed grade for longer battery life; tested with 100 MHz VexRISC-V, RV32IMAC + MMU, 4k L1 I/D cache Lattice Semi iCE40UP5K secondary Embedded Controller (EC) FPGA for power, standby, and charging functions; tested with 18 MHz VexRISC-V, RV32I, no cache System Memory – 16MB external SRAM Storage – 128MB flash Display -536 […]

November 28, 2019 by Jean-Luc Aufranc (CNXSoft) - No Comments

Hacarus Embedded AI Computing Kit Leverages Sparse Modeling Technology

Hacarus AI Computing Kit Sparse Modeling Technology

AI training often requires thousands of samples to become accurate, and it can be costly and time-consuming, for example, if you want to train a model to detect manufacturing defects you’d need to provide images with both defective samples and good samples. Japanese AI experts at Hacarus have been working on a solution called Sparse Modeling which requires about 50 samples or even less for training, and worked with Congatec to provides an embedded AI computing kit leveraging the technology. Sparse Modeling Technology Hacarus does not go into great detail but explains Sparse Modeling technology is using a data modeling approach that focuses on identifying unique characteristics, in a way that humans recognize friends and family without having to look at everything from feet to head. That means algorithms based on Sparse Modeling do not need as much data as traditional AI solutions, leading to much smaller AI footprint suitable […]