Tackling traditional and AI computing challenges with FPGA accelerators

使用 FPGA 加速器应对传统和人工智能计算挑战

• 批准号: ST/W00576X/1
• 负责人: Alessandro Cerri
• 金额: $ 7.52万
• 依托单位: University of Sussex
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ST%2FW00576X%2F1
• 关键词: Tackling; traditional; AI; computing; challenges

The equipment purchased with these funds allows the exploration of novel solutions to the need for fast computing in experimental particle physics and beyond.Its immediate application will be to the problem of identifying signatures of particles traversing detectors in high energy physics experiments, however similartechniques are relevant in disparate fields such as medical imaging, the processing of digital images and the identification of genetic sequences and markers inlaboratory samples.

用这些资金购买的设备允许探索新的解决方案，以满足实验粒子物理和其他领域对快速计算的需求。它的直接应用将是在高能物理实验中识别粒子穿越探测器的特征的问题，然而类似的技术在不同的领域是相关的，如医学成像、数字图像处理和实验室样品中基因序列和标记的识别。