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1 day ago · Video. The transceiver offerings cover the gamut of today’s high speed protocols. The GTH and GTY transceivers provide the low jitter required for demanding optical interconnects and feature world class auto-adaptive equalization with PCS features required for difficult backplane operation.
2 days ago · The Versal AI Engine architecture delivers up to 40% power savings for compute-intensive. Hardened block RAM, UltraRAM, and DSP blocks improve device efficiency. More efficient DSP blocks for enhanced complex and floating-point math operations. Unused block RAMs support power gating to avoid power leakage.
1 day ago · Integrated HBM and RAM. AMD products contain different types of internal memory for different design needs. Distributed RAM uses LUTs for coefficient storage, state machines, and small buffers. Block RAM is useful for fast, flexible data storage and buffering.
23 hours ago · My Vivado project contains Xilinx ip-cores. I want to model everything in Modelsim. It is useless to choose the Modelsim simulator in the simulation settings, because it takes a VERY long time to load this way. I usually create .do-files for Modelsim and so build the project. In this case, it is not possible to do so simply, because ip-cores ...
1 day ago · 从边缘到云的最佳人工智能推断. Vitis™ AI 软件是一款全面的 AI 推断开发解决方案，适用于 AMD 器件、开发板、Alveo™ 数据中心加速卡、选型 PC、笔记本电脑和工作站。. 它包括一系列丰富的 AI 模型、优化的深度学习处理器单元 (DPU) 内核、工具、库与 ...
23 hours ago · Real-time processing of images requires both high computational power and efficient data handling capabilities. The Xilinx Zynq UltraScale+ MPSoC provides a unique advantage with its combination of FPGA for hardware acceleration and ARM processors for general-purpose computing, making it ideal for such applications. Objectives:
2 hours ago · AMD has a rich IP portfolio of compute solutions, ranging from classic CPUs and GPUs, to XDNA FPGA chips (through the Xilinx acquisition), now they just need to bring them together, exposing a unified computing interface that makes it easy to strategically shift workloads between these core types, to maximize performance, cost, efficiency or both.
