Upcoming NEWS Symposium Promotes Careers in New Mexico

The University of New Mexico’s Initiative for Maximizing Student Development (IMSD) Program will be hosting the 2017 New Mexico Educated Workforce in STEM (NEWS) Symposium at the UNM Campus December 19-21, 2017.
 
New Mexico produces numerous highly skilled, highly educated STEM professionals, many of whom seek employment back in their home state after completing their graduate and postdoctoral work out of state. 
The goal of the symposium is to connect New Mexico’s highly educated STEM workforce with the economic, government, biotech/tech, and business leaders in the state for the purpose of job matching.  The symposium also aims to catalyze new opportunities, businesses, and networks to stimulate the economic growth of the state.
 
The New Mexico Consortium is assisting with logistics of the Symposium.
 
For inquiries or to RSVP email IMSD@unm.edu or call (505)277-3609.

 

To learn more see the NEWS STEM Flyer.

 

Browse the NEWS Symposium Agenda. 

LANL Reveals 750-node Raspberry Pi Cluster

This week, Los Alamos National Laboratory (LANL) has revealed its latest "High-performance computer" - a cluster of 750 Raspberry Pis. What is a Raspberry Pi? The Raspberry Pi is a low cost, credit-card sized computer that can do just about anything a typical desktop computer can do. They were developed by the Raspberry Pi Foundation, a United Kingdom charity, to help spread computing education especially in developing countries.
 
One problem the systems software community has is how to work on very large supercomputers without actually having to test on them, which can be very expensive and hard to access. This has led to the affordable solution of using thousands of inexpensive Raspberry Pi nodes for R&D work.
 
LANL’s Gary Grider, leader of the LANL High Performance Computing Division said, “The Raspberry Pi modules let developers figure out how to write this software and get it to work reliably without having a dedicated testbed of the same size, which would cost a quarter billion dollars and use 25 megawatts of electricity”. The Raspberry Pi pulls just two or three watts per node, making it cheap to run. In the future, Grider hopes to increase the system to thousands of nodes.
 
LANL's new 750-node Raspberry Pi cluster will be located at the LANL/New Mexico Consortium (NMC) Ultrascale Systems Research Center (USRC), in the NMC's computer lab.  The NMC Ultrascale Systems Research Center(USRC) is a collaboration between the NMC and LANL to engage universities and industry nationally in exascale research. USRC is currently one of the largest programs at the NMC.
 
Many unsolved problems are standing in the way of achieving exascale computing. USRC was created to address these challenges through collaboration. USRC is interested in collaborations with University professors, students, and industry visitors.
 
To learn more see these articles:

The A Register: Los Alamos National Lab fires up 750-node RPi cluster

LANL: Scalable clusters make HPC R&D easy as Raspberry Pi

Breakthrough Santa Fe Students Tour NMC Biolab

 

Breakthrough Santa Fe students participated in a tour of the NMC Biological Laboratory and Greenhouse Thursday October 26, 2017. The students enjoyed learning about and seeing all the different types of research going on at the Biolab.

Breakthrough Santa Fe helps motivated students, grades 7-12, from underserved public schools, be the first one in their family to go to college. Students in the Breakthrough Santa Fe program participate in summer programing, school year support, and college counseling. 

To learn more about Breakthrough Santa Fe click here.

Anyone interested in their group touring the NMC Biolab should contact us or fill out the NMC Tour Registration.

 

Computer Learns How to Mimic Human Brain

Researchers at Los Alamos National Laboratory and the New Mexico Consortium are working to create computers that can act much like the human brain.

The human brain is an incredible computer. It requires little energy to run and can sort through incredible amounts of data quickly enough for us to react on. By an early age humans can easily tell the difference between two objects or can tell a moving car from a static background. These kinds of tasks are still challenges for computers to accomplish.

Garrett Kenyon and other researchers in the field of neuromimetic computing have been simulating the brain's neural networks on the Trinity supercomputer at Los Alamos, the fastest computer in the United States. The goal is for the computer to be able to mimic the human brain, enabling machines to learn about their surroundings, interpret data and make predictions the way humans do.

How are they doing this? Computer scientists and neuroscientists at Los Alamos have created a “sparse prediction machine” which is designed to work much like a brain. The researchers expose it to thousands of video clips of moving objects and the sparse prediction machine learns about the visual world simply by watching the videos, much like a child learns by watching the world. Thus, a sparse prediction machine is more biologically realistic in that it can be trained in a similar way to how we learn as humans. 

Using the Trinity supercomputer, the sparse prediction machine eventually was able to watch a video clip and be able to predict the next video frame that will naturally follow. In one example, it was able to continue the motion of a car against a static background. In other words, a computer has been trained to be able to predict what it will see next, which is a great achievement in the field of neuromimetic computing.

Watch the video clip above or read the full article below to learn more!

Full Albuquerque Journal Article: Computer Learns How to Imagine the Future

Los Alamos Press Highlights: Computer Learns How to Imagine the Future

NMC New Open MPI Partner

The New Mexico Consortium is proud to announce that we are now a partner and contributer tothe Open MPI Project development team. Open MPI is on open source Message Passing Interface project that combines the expertise, technologies, and resources from all across the High Performance Computing community in order to build the best MPI library available.
 
 
Open MPI is developed and maintained by a consortium of academic, research, and industry partners, and is developed in a true open source model that encourages open collaboration.   
 
Open MPI Partners are nominated by a current MPI Members, and then must be approved by the Administrative Steering Committee (ASC). Partners contribute resources and services to the MPI Community, and contributions are acknowledged on the Open MPI website. The Open MPI Team page has a comprehensive listing of all contributors and active members.

© 2017 New Mexico Consortium