Thomas Jefferson National Accelerator Facility (JLab) has partnered with Energy Sciences Network (ESnet) to define and implement an edge to compute cluster computational load balancing acceleration architecture. The ESnet-JLab FPGA Accelerated Transport (EJFAT) architecture focuses on FPGA acceleration to address compression, fragmentation, UDP packet destination redirection (Network Address Translation (NAT)) and decompression and reassembly. EJFAT seamlessly integrates edge and cluster computing to support direct processing of streamed experimental data. This will directly benefit the JLab science program as well as data centers of the future that require high throughput and low latency for both time-critical data acquisition systems and data center workflows. The EJFAT project will be presented along with how it is synergistic with other DOE activities such as an Integrated Research Infrastructure (IRI), and recent results using data sources at JLab, an EJFAT LB at ESnet, and computational cluster resources at Lawrence Berkeley National Laboratory (LBNL).

翻译：托马斯·杰斐逊国家加速器实验室（JLab）与能源科学网络（ESnet）合作，定义并实现了一种从边缘到计算集群的计算负载均衡加速架构。ESnet-JLab FPGA加速传输（EJFAT）架构专注于利用FPGA加速技术解决压缩、分片、UDP数据包目标重定向（网络地址转换，NAT）以及解压与重组等问题。EJFAT无缝集成边缘计算与集群计算，以支持对实时流式实验数据的直接处理。这将直接惠及JLab的科学项目，同时也适用于未来需要高吞吐量和低延迟的数据中心，无论是时间关键型数据采集系统还是数据中心工作流。本文将介绍EJFAT项目，并阐述其如何与美国能源部（DOE）的其他活动（如集成研究基础设施，IRI）协同增效，以及近期利用JLab数据源、ESnet的EJFAT负载均衡器和劳伦斯伯克利国家实验室（LBNL）计算集群资源所取得的成果。