Elastic Compute Cloud Research Articles

We-P11:166 Investigation of dietary habits in patients with primary hypertonsion in internal and heart clinic in Tehran University of Medical Sciences Hospitals

Robust scientific information is essential to proper leasing decisions in offshore waters of the United States. This information develops the necessary understanding of the environment required to protect ecosystems during sustainable energy development offshore. Collection of existing scientific information can be a laborious and time-consuming process. In an effort to collate and evaluate scientific information in a more effective and timely manner, the Bureau of Ocean Energy Management (BOEM) created a system that would improve the speed with which environmental research is performed while maintaining scientific defensibility of the resulting decisions. The EcoSpatial Information Database (ESID, pronounced “ee-sid”), available at http://esid.boem.gov, makes relevant scientific literature and ecological data for the Outer Continental Shelf (OCS) of the U.S. Atlantic Coast readily accessible via advanced location and content data searches. A unique search protocol was developed to identify and scientifically screen thousands of scientific articles and environmental reports to identify scientific datasets in the disciplines of marine geology, water quality, pelagic ecology, and benthic ecology. A prioritization process culled the results to a total of 3108 resources spanning the years of 1884 to 2010. These resources were then geospatially referenced and incorporated into the ESID. A web-based Geographic Information System (GIS), hosted in the Amazon Elastic Compute Cloud (EC2), was developed to provide broad access to the data and supporting documents. The cloud-based ESID Web Application allows users to search by content and location, view citations and abstracts, export bibliographic entries and view and download documents. The system is designed to support virtually unlimited geographic and subject matter expansion and will streamline BOEM's efforts to produce the required National Environmental Policy Act documents in a more efficient manner.

Discrete transparent boundary conditions for general Schrödinger-type equations

Quantum many-body systems (QMBs) are some of the most challenging physical systems to simulate numerically. Methods involving approximations for tensor network (TN) contractions have proven to be viable alternatives to algorithms such as quantum Monte Carlo or simulated annealing. However, these methods are cumbersome, difficult to implement, and often have significant limitations in their accuracy and efficiency when considering systems in more than one dimension. In this paper, we explore the exact computation of TN contractions on two-dimensional geometries and present a heuristic improvement of TN contraction that reduces the computing time, the amount of memory, and the communication time. We run our algorithm for the Ising model using memory optimized x1.32x large instances on Amazon Web Services (AWS) Elastic Compute Cloud (EC2). Our results show that cloud computing is a viable alternative to supercomputers for this class of scientific applications.

3D Real-Time Reconstruction using the Cloud

This work presents a 3D real-time reconstruction based on a visual SLAM (Simultaneous Localization and Mapping) approach using a RGBD camera. The proposed system aims to create a 3D model of an environment using a low-power computer and Amazon EC2 (Elastic Compute Cloud) server for computation offloading.