TUE FEB 27 – THU MAR 1st – Exhibition Nuremberg
MLE will be at Booth 4-670 in Hall 4. In Addition to our exhibitions and free advices from our Engineers, MLE hosts a demo at the Xilinx booth 3-311 in Hall 3 to showcase Neural Network design example on Ultra96 Board.
WED FEB 28, 2018 – Embedded World Conference 2018 at MCC Ost:
MLE presents “Analyzing the Generation and Optimization of an FPGA Accelerator with High-Level Synthesis” at Conference Session 12/III “FPGA based Hardware Solutions”, Beginning: 2:30 PM.
MLE is now listed at AWS Marketplace with FPGA-Accelerated Deep-Learning Inference with Binarized Neural Networks. For more information click the following link: http://aws.amazon.com/marketplace/pp/B0784D5WJK
German Fraunhofer Heinrich-Hertz-Institute (HHI) and MLE collaborate to enhance Fraunhofer HHI's Low-Latency Ethernet MAC and TCP/IP Stack to support Xilinx UltraScale+ GTY Transceiver Technology for 25/50 Gig Ethernet.
Users interested to witness the acceleration potential of FPGAs in the cloud for Machine Learning applications can now use an exemplary implementation of a reduced-precision Binarized Neural Network inference for CIFAR10 image classification, running on an Amazon EC2 F1 Instance.
MLE and Xilinx present “Heterogeneous Multi-Processing for Software-Defined Multi-Tiered Storage Architectures” at the SNIA Storage Developers Conference 2017.
Download the slides or see the presentation or visit our technical publications.
In recognition of MLE’s strong committment to support the FPGA Acceleration ecosystem, new solutions for Network Protocol Acceleration, Key-Value Store (KVS) & Memcached Acceleration and Storage Protocol Acceleration have been added to the Xilinx Alliance Program.
Xilinx and Missing Link Electronics are proud to support Professor Anestis Terzis from the Ulm University of Applied Sciences in organizing and performing the 1st Workshop in Ulm: Programmable Processing for the Future and Autonomous Car – From classical FPGA to heterogeneous MPSoC on the 11th of July all day in Ulm (University Campus Albert-Einstein-Allee)
Amazon Web Services (AWS) recently introduced the Amazon EC2 F1 instance, a compute instance with FPGA for custom hardware acceleration. MLE’s mission is to de-risk the adoption of FPGA technology in new markets and applications by offering expert Design Services.
To fully support customers in their Amazon EC2 F1 projects MLE has been enabled by Xilinx and Amazon with sufficient seats for the required toolchain, and documentation to fully support users interested in FPGA acceleration in the cloud!