跳到主要导航 跳到搜索 跳到主要内容

High Performance Computer Acoustic Data Accelerator ( HPC-ADA ): A New System for Exploring Marine Mammal Acoustics for Big Data Applications

  • Peter J. Dugan
  • , John Zollweg
  • , Herve Glotin
  • , Marian Popescu
  • , Denise Risch
  • , Yann Lecun
  • , Christopher W. Clark

科研成果: Conference contribution

摘要

With continuing growth of the world's population and rapid economic development, our need to preserve the natural environment, especially our oceans, is becoming an increasing concern. For the past several decades scientists have been monitoring the oceans using a variety of sensors and tools. Passive acoustic monitoring is one of the primary methods used to investigate the behavior patterns of soniferous marine animals. Analyzing the vast amount of collected data poses an enormous challenge. This paper presents a new system designed for high speed acoustic processing called the High Performance Computer Acoustic Data Accelerator (HPC-ADA). Together with an appropriate software suite, the HPC-ADA is a powerful tool currently being used by the Bioacoustics Research Program (BRP) at the Cornell Lab of Ornithology, Cornell University. This paper provides a high level technical overview of the HPC-ADA system’s architecture, software suite, and operation of the HPC-ADA. We also summarize the projects that have successfully used the HPC-ADA system; totaling over one million hours of processed sound to date.
源语言English
主期刊名Proc. ICML Unsupervised learning for Bioacoustics
1-8
页数8
1
出版状态Published - 2014

指纹

探究 'High Performance Computer Acoustic Data Accelerator ( HPC-ADA ): A New System for Exploring Marine Mammal Acoustics for Big Data Applications' 的科研主题。它们共同构成独一无二的指纹。

引用此