While the purpose of visualization and analysis is insight, realizing that objective requires solving complex problems related to crafting or adapting algorithms and applications to take advantage of evolving architectures, and to solve increasingly complex data understanding problems for ever larger and more complex data. These architectures, and the systems from which they are built, have increasingly deep memory hierarchies, increasing concurrency, decreasing relative per-core/per-node I/O capacity, lessening memory per core, are increasingly prone to failures, and face power limitations. The purpose of this workshop is to bring together researchers, engineers, and architects of data-intensive computing technologies, which span visualization, analysis, and data management, to present and discuss research topics germane to high performance data analysis and visualization. Specifically, this workshop focuses on research topics related to adapting/creating algorithms, technologies, and applications for use on emerging computational architectures and platforms. The workshop format includes traditional research papers (8-10 pages) for in-depth topics, short papers (4 pages) for works in progress, and a panel discussion.