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Accelerate Data Processing Algorithms using FPGAs with 2D Network-on-ChipThis novel architecture has hundreds of NoC-access-points located throughout the FPGA core that can access off-chip memories and any of the high-speed PCI Express ports. |
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Accelerating to 112 Gbps PAM4 Webinar: A Real-World FPGA ImplementationAccelerating data channels to 112 Gbps PAM4 forces system designers to balance increasing throughput, scalability and density demands with concerns such as signal integrity, system architectures and time-to-market. In this webinar, technical experts from Achronix and Samtec will discuss real-world tools and solutions that optimize the signal path both inside and outside the system design. |
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Baird Video Webcast Series with AchronixTristan Gerra, Baird’s Senior Semiconductor Analyst, hosts Achronix CEO Robert Blake for an in-depth discussion on FPGAs and the AI landscape and opportunity. |
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Benefits of FPGAs & eFPGA IP in Futureproofing Compute AccelerationIn the quest to accelerate and optimize today’s computing challenges such as AI inference, our system designs have to be flexible above all else. At the confluence of speed and flexibility are today’s new FPGAs and e-FPGA IP. In this episode of Chalk Talk, Amelia Dalton chats with Mike Fitton from Achronix about how to design systems to be both fast and future-proof using FPGA and e-FPGA technology. |
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Best Practices in Designing Rad-Hard and Trusted SoCs with eFPGA IPDesigning high-performance SoCs for data acceleration applications that require high levels of security and radiation tolerance is a significant challenge for the defense industry. This webinar will provide a technical discussion on the challenges and best practices involved in designing high-performance eFPGA IP for integration into custom rad-hard SoCs. |
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eFPGA IP Workload for Autonomous VehiclesTo unlock Level 5, truly autonomous vehicles, the industry needs more than just eccentric machine learning algorithms. The future of the automotive industry is dependent on our ability to produce high-performance, low-latency computing platforms. |
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Embedded FPGA and FPGA: The Fabric for Optimized Machine LearningEmbedded FPGAs (eFPGAs) bring the power and flexibility of programmable logic to ASICs and SoCs. With eFPGAs, machine learning (ML) can be integrated in new form-factors such as mobile edge compute, IoT aggregation and SmartNIC. |
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Enabling Technologies: Delivering a 6G WorldThere is no doubt that 6G will bring great changes to the world of connectivity, enabling revolutionary use cases. However, the road to getting there may be challenging. A new generation of networks is not built overnight, they are gradually upgraded in line with standards and specifications which will deliver greater speeds and connectivity. In the case of 6G, some commonly cited technological challenges include the openness of networks, aggregated network functions, and a lack of automation. |
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Enhance IoT and 5G Experience Through FPGA Data AccelerationWorldwide data is forecasted to grow exponentially to 175ZB over the next 4 years with over 30 billion IoT connected devices being a significant contributor to data growth. 5G technology enables this growth by allowing data to move through the network faster and with substantially less latency. |
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Five Reasons Why a High Performance Reconfigurable SmartNIC Demands a 2D NoC WebinarThe current generation of SmartNICs relies heavily upon utilizing semiconductor devices with many ARM cores (or similar) to process packets at 25GbE. This approach, which is already challenged at 25GbE, becomes even more difficult to scale to 100GbE and higher. |
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