.png){kind=icon}
返回
.png){kind=icon}
.png){kind=icon}
摘要
En 中文
Correlators are key components of radio telescopes as they combine the data from all receivers. They are characterized by high data rates, impressive compute loads, and the necessity to process data in real time. Often, these instruments use graphics processing units (GPUs) to correlate the incoming data streams as GPUs are fast, energy efficient, flexible, and programmable with a reasonable programming effort. Recent GPUs are equipped with a new technology, called tensor cores, to perform specific (typically artificial intelligence) workloads an order of magnitude more efficiently than regular GPU cores. This paper introduces the Tensor-Core Correlator, a GPU library that exploits this technology for signal processing and allows a GPU to correlate signals five to ten times faster and more energy efficiently than traditional state-of-the-art GPU correlators. The library hides the complexity of the use of tensor cores and can be easily integrated into the GPU pipelines of existing and future instruments, leading to a significant reduction in costs and energy consumption.
Keyword:
instrumentation
interferometers
期刊
IF:
5.8
论文数:
5.0W
被引数:
18.3W
机构
暂无机构信息
引用论文
.png){kind=icon}
分享.png){kind=icon}
收藏Visualization of the Human Intracranial Vasa Vasorum In Vivo Using Optical Coherence Tomography.png)
PREAI
分享收藏
Differing impacts of global and regional responses on SARS-CoV-2 transmission cluster dynamics.png)
OAAI
IF0
OAAI分享收藏 没有更多内容
没有更多内容