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News

Say hello to the Mercury+ XU9

Sep 26, 2019
mercury+ xu9

The newest member of our growing family of Xilinx Zynq UltraScale+ MPSoC based modules has arrived: Say hello to the Mercury+ XU9! It offers 20 multi-gigabit transceivers with data rates of up to 15 Gbit/sec each. To achieve the highest possible memory bandwidth, it is equipped with two memory banks: a 64-bit wide DDR4 SDRAM (up to 4 GBytes) connected to the PL and a 72-bit DDR4 ECC SDRAM (up to 8 GBytes) connected to the PS. Thus, the module achieves a memory bandwidth of up to 38.4 GByte/sec.

Enquire about the Mercury+ XU9 now.

Accelerate your development

Aug 29, 2019

AMZ, the Zurich based Formula Student Electric team, is using Enclustra modules already for the second season in a row in their motor inverters. Enclustra's Mercury ZX5 modules not only accelerate the car, but also the development: FPGA and SoC modules can cut the development time by half and lower total cost of ownership at the same time. Don't waste valuable time by reinventing the wheel but focus on your core competencies and get your product to market faster.

Read about the advanteges to use a module in the AMZ race car in the Circuit Cellar magazine. The article also provides technical details about the setup and the technology used in the car.

Mercury+ XU1 & Mercury XU5: More variants

Aug 13, 2019
mercury+ xu1 mercury xu5

The range of applications covered by the Mercury+ XU1 and Mercury XU5 SOMs, which are based on the Xilinx Zynq UltraScale+ MPSoC, is now even bigger. Thanks to three new variants, six different types are now available, which at the same time demonstrates the great flexibility and future-proof of the Enclustra modules. The following variants of the Mercury+ XU1 are now also available:

  • ME-XU1-6CG-1E-D11: cost-efficient
  • ME-XU1-15EG-2I-D12E-G1: 16 GTH transceivers
  • ME-XU1-9EG-3E-D12E: high-performance

Furthermore the additional Mercury XU5 variant is available:

  • ME-XU5-2CG-1E-D10H: cost-efficient

Enclustra also offers customer-specific variants. To find out more, simply send us a request.

FPGA Manager API updated

Aug 08, 2019

Enclustra has continuously improved the FPGA Manager API in the recent months. As previously reported, the API library will also be supplied henceforth as a NuGet package, which will make integration and updates significantly easier. The API now officially supports Visual Studio 2019 and contains various bug fixes and improvements – such as the ability to connect several USB 3.0 devices to the same PC at once, even to various host controllers.

The entire change log is available on the API site. If you have an existing maintenance agreement for your FPGA Manager, simply send us an e-mail and we will send you the latest version of the FPGA Manager.

Balancing master

Jul 29, 2019
enclustra ax3 fpga module risc-v The real acid test for a product comes– at the latest– when you use it yourself in a project.This is exactly what happened with the engineering company imt when it developed a trade fair demo in just four weeks. The idea of a self-balancing robot came to fruition quite quickly, with tried-and-tested procedures and the latest technologies and tools being used in the development of the idea.

A Mars AX3 FPGA module from FPGA specialists Enclustra serves as the basis for the robot. This module significantly reduced the amount of needed hardware development work, as only a very simple base board had to be developed with the power electronics and sensor systems. The detailed documentation, the VHDL reference design, the 3D CAD model and the PCB footprint – that are freely available for all Enclustra modules – helped to ensure that the PCB worked right away.

It took very little time to choose the system partition and the programming tool: With the DATAFLOW Studio , that is developed by imt, the implementation of the system was a breeze. The DATAFLOW Studio contains a RISC-V soft processor which takes care of control and regulation of the entire robot. All sensors and actuators were able to be quickly and simply connected to this high-performance open source processor via the FPGA logic.

The project was only able to be successfully carried out and the robot got up and running in such a short period of time by combining these technologies – and of course thanks to the extensive knowledge of the imt engineers.

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