Advances in Parallel Computing and Databases for Digital Pathology in Cancer Research

Abstract

Over the past decade there have been significant advances in bringing parallel computing and new database management systems to a wider audience. Through a number of efforts such as the National Strategic Computing Initiative (NSCI), there has been a push to merge these Big Data and Scientific Computing communities to a single computational platform. At the Massachusetts Institute of Technology, Lincoln Laboratory, we have been developing HPC and database technologies to address a number of scientific problems including biomedical processing. In this article, we briefly describe these technologies and how we have used them in the past. We are interested in learning more about the needs of clinical pathologists as we continue to develop these technologies.

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Document Details

Document Type
Technical Report
Publication Date
Nov 13, 2016
Accession Number
AD1033424

Entities

People

  • Siddharth S. Samsi
  • Vijay N. Gadepally

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Big Data
  • Biological Phenomena
  • Cancer
  • Computational Science
  • Computer Programming
  • Computers
  • Coordinate Systems
  • Data Analysis
  • Data Storage Systems
  • Database Management Systems
  • Databases
  • Diseases And Disorders
  • Electronic Commerce
  • Environment
  • High Performance Computing
  • High Resolution
  • Image Processing
  • Linear Algebra
  • Materials
  • Neoplasms
  • Parallel Computing
  • Parallel Processing
  • Pattern Recognition
  • Signal Processing
  • Software Development
  • Spatial Filtering

Fields of Study

  • Medicine

Readers

  • Defense Technology Research and Development.
  • Distributed Systems and Data Platform Development
  • Technical Research and Report Writing.

Technology Areas

  • Biotechnology