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News

NESE: Large-Scale Extendable Storage

"As big data becomes a common analytical tool in fields from the sciences to the humanities, Harvard’s computer infrastructure experts are turning their attention to an increasingly pressing question: How do you manage it all? In recent years, Harvard invested in the Odyssey computing cluster, whose 60,000 CPUs provide the sheer computing horsepower needed to crunch big data. But as…

Teaching Computers to Identify Odors

"Using a machine-learning algorithm, [Prof. Venkatesh] Murthy and colleagues were able to “train” a computer to recognize the neural patterns associated with various scents, and to identify whether specific odors were present in a mix of smells. The study is described in a Sept. 1 paper in the journal Neuron." - Harvard Gazette Read more at The Harvard Gazette

A Redox-flow Battery with an Alloxazine-based Organic Electrolyte

Odyssey helps researchers create the next generation of energy storage systems. Using organic electrolytes, a redox-flow battery offers many benefits and improvements over current energy storage schemes using more environmentally-friendly compounds. Excerpt: Redox-flow batteries (RFBs) can store large amounts of electrical energy from variable sources, such as solar and wind. Recently, redox-active organic molecules in aqueous RFBs have drawn substantial…

MGHPCC data center shutdown 5/17

Our MGHPCC data center will be performing its annual power maintenance on Tuesday May 17th. This shutdown will mean the powering down of all our Holyoke equipment, so many services will be affected. For more details, see: MGHPCC May 17th 2016 Shutdown.

IARPA ADVANCED MACHINE LEARNING CHALLENGE

IARPA has awarded more than $28 million to Harvard’s John A. Paulson School of Engineering and Applied Sciences (SEAS), Center for Brain Science (CBS), and Department of Molecular and Cellular Biology for research into advanced neuroscience and machine learning. Professors David Cox, Jeff Lichtman, Hanspeter Pfister, Haim Sompolinsky and Ryan Adams look to push the state of the art in…

New Methods for Flu Tracking and Prediction

Statistics Professor Samuel Kou and colleagues have created new tracking methods for influenza using data from across the Internet and the power of Odyssey. "The approach, called ARGO, for AutoRegression with Google search data, combines Google data with historical records from the CDC and information on seasonality of the flu. It also accounts for changes in the inner workings of…

New Module Search Tools

The RC/Informatics portal now has a new application for searching modules in the new module system. https://portal.rc.fas.harvard.edu/apps/modules This search tool includes all of the modules in the new module system, and provides key information, including application descriptions, how to load the module, and in many cases, build notes that help describe the difference between various builds. A command line tool…

Brain Genomics Superstruct Project

ABSTRACT The goal of the Brain Genomics Superstruct Project (GSP) is to enable large-scale exploration of the links between brain function, behavior, and ultimately genetic variation. To provide the broader scientific community data to probe these associations, a repository of structural and functional magnetic resonance imaging (MRI) scans linked to genetic information was constructed from a sample of healthy individuals.…

Data & Software Carpentry workshop registrations now open!

Registration is now open for both Software Carpentry - R (July 22 - 23) and Data Carpentry - Genomics (August 19 - 20). Please see the following pages for more information on the workshops and registration: Software Carpentry - R: https://rc.fas.harvard.edu/software-carpentry-workshop-july-22-23/ Data Carpentry - Genomics: https://rc.fas.harvard.edu/data-carpentry-genomics-august-19-20/ We have received a few emails asking us about the difference between the workshops:…

Odyssey Software Updates, June-2015

Software updates and installs since May 1st: NOTE: All software is installed under the Lmod module system on Odyssey. And please read our guidelines for software install requests. armadillo 5.100.2 Fast C++ matrix library with easy to use functions and syntax, deliberately similar to Matlab ART 031915 Simulation tools to generate synthetic next-generation sequencing reads bcftools 1.2 Set of utilities…