MLE is listed at AWS Marketplace
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
Fraunhofer HHI and MLE to Collaborate on 25/50G Ethernet MAC
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.
MLE Supports Amazon EC2 F1 With Binarized Neural Network Inference
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.
Presentation at SNIA Storage Developers Conference 2017
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.
New FPGA Solutions from MLE Listed by Xilinx
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.
1st Workshop: Programmable Processing for the Future and Autonomous Car
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)
Servicing Amazon EC2 F1 Customers
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!
MLE Releases New Zynq SSE
With full support for Xilinx Vivado Version 2016.4 and PetaLinux Version 2016.4, including a new Linux kernel 4.6 device API, this new Zynq SSE offering also comes with a more customer-focused license fee structure. This reflects MLE’s dedication to the growing needs of embedded applications using Xilinx Zynq-7000 All Programmable SoC with SATA connected Solid-State Drives. Click here for more information.
Presentation at FPGA4GPC 2017
MLE presents first OS metrics for DTO-based DPR based on exemplary implementations of programmable accelerators for the Linux Kernel Crypto-API, implemented on the Xilinx Zynq 7000 platform at the FPGA4GPC (International Conference on FPGA Reconfiguration for General-Purpose Computing 2017) on 2017-05-09 & 2017-05-10. These metrics can guide future research on OSs forGPC on FPGAs. FPGA4GPC focusses on novel work in the field of reconfigurable systems optimized for the use in a general-purpose environment.