Author Archives: Steven Butschi

Google Cloud Platform announces new credits program for researchers

From Big Data projects like Strayer University’s student support system to AI projects like Carnegie Mellon’s socially aware robot, researchers are discovering that cloud technology can help make academic research cheaper, faster, easier, and more secure. Whether you’re just starting out with a new idea, or validating your work before sharing it with the public, we want to help you advance your new discoveries. That’s why we’re deepening our support for your biggest questions and best guesses through a new program: Google Cloud Platform (GCP) research credits. Academic researchers in qualified regions are encouraged to apply.


Like the Google Cloud Platform Education Grants to support computer science courses and the partnership to support National Science Foundation (NSF) grants in BIGDATA, our GCP research credits program supports faculty who want to take advantage of GCP’s data storage, analytics, and machine-learning capabilities. Andrew V. Sutherland, a computational number theorist and Principal Research Scientist at the Massachusetts Institute of Technology, is one of a growing number of academic researchers who have already made the transition and benefited from GCP. His team moved the L-Functions and Modular Forms Database to GCP because “we are mathematicians who want to focus on our research, and not have to worry about hardware failures or scaling issues with the website.”

Other researchers are taking advantage of GCP’s scalable infrastructure. Ryan Abernathey, Assistant Professor of Earth and Environmental Sciences, Ocean and Climate Physics at the Lamont-Doherty Earth Observatory at Columbia University, used Google Cloud credits through an NSF partnership and, with his team, developed an open-source platform to manage the complex data sets of climate science. The platform, called Pangeo, can run Earth System Modeling simulations on petabytes of high-resolution, three-dimensional data. “This is the future of what day-to-day science research computing will look like,” he predicts.


At the Stanford Center for Genomics and Personalized Medicine (SCGPM), researchers using GCP and BigQuery can now run hundreds of genomes through a variant analysis pipeline and get query results quickly. Mike Snyder, director of SCGPM, notes, “We’re entering an era where people are working with thousands or tens of thousands or even million genome projects, and you’re never going to do that on a local cluster very easily. Cloud computing is where the field is going.”


Googlers like Fei-Fei Li, Chief Scientist for Cloud AI and ML, are excited to be able to support important research through the new avenue of the credits program: “As an academic, I’m thrilled that Google Cloud will make GCP credits available to the research community. This will help support important scientific discoveries and accelerate fundamental research that are critical for the future.”


The GCP research credits program is open to faculty doing cutting-edge research in eligible countries. We’re eager to hear how we can help accelerate your progress. If you’re interested, you can learn more on our FAQ or apply now.

Source: Google Cloud


Taking education higher with Google Cloud Platform

Editor’s note: This week the Google team is in Philadelphia for the annual EDUCAUSE conference, a gathering of higher education technology leaders. If you’re at the event, visit us at booth #1100 to see the latest demos of Google Cloud Platform (GCP), G Suite, Jamboard, as well as virtual reality and augmented reality tools. Or follow the action on our @GoogleForEdu account, using the #EDU17 hashtag. If you want to connect with our team but can’t make it to Philadelphia, contact us.

I’m continually inspired by all the ways that educational institutions use Google Cloud to expand learning for everyone. Today, eleven years after San Jose City College and Arizona State University became the first to adopt G Suite for Education, we’re announcing that more than 80 million students, faculty and staff now use these tools in higher ed and K12.. Meanwhile, Google Cloud’s product portfolio continues to expand, helping us keep up with educators’ and students’ limitless ideas. Below are a few recent highlights of what institutions have been doing with the help of Google Cloud.

Northeastern researchers understand the spread of Zika using GCP

Amidst the spread of the Zika virus, the Modeling of Biological and Socio-technical Systems (MoBS) lab at Northeastern University, created a model to better understand the deadly virus. Using a mathematical and computational approach powered by GCP, the team studied different scenarios under which Zika could spread, projecting its impact on affected populations. The model is based on the initial spread of Zika in Brazil, and allows researchers to predict the impact of new infections in other locations by introducing additional data layers, including temperature, number of mosquitoes, population size and people’s travel patterns.

With Google Compute Engine and Preemptible Virtual Machines, MoBS has run more than 10 million simulations and drastically reduced the time needed to analyze data.

“Time is vital when confronting disease outbreaks,” says Matteo Chinazzi, Associate Research Scientist at Northeastern University, “and GCP gives us the tools we need to move quickly at scale.” To read more about MoBS Lab’s  Zika research and analysis, check out “Spread of Zika virus in the Americas” and our full Northeastern case study.

educause-1-2

This incidence map of Zika infections, created in December 2016 by the MoBS lab simulation model, is a spatial projection of the median number of infections by February 28, 2017. The inset maps provide detailed projections for the areas of Recife and Belo Horizonte, Brazil.

MIT professor pushes computing limits

Andrew V. Sutherland, a computational number theorist and Principal at the Massachusetts Institute of Technology (MIT), is part of the team behind L-Functions and Modular Forms Database (LMFDB), a detailed atlas of mathematical objects and the connections among them. This database is used by physics, computer science and mathematics communities around the world.

The calculations to create the objects in LMFDB are complex, time-consuming and expensive to perform. Sutherland uses Compute Engine and Persistent Disk to calculate some of those objects. One tabulation required 580,000 cores of preemptible VMs to compute—the largest known high-performance compute cluster to ever run in the public cloud.

LMFDB also uses Google Cloud to host its web servers, as well as GCP tools like Google Stackdriver, Google Cloud Console and Google Cloud Load Balancing. Running on GCP supports countless daily searches, and allows people in multiple countries to easily administer the system.

We’re excited to see how the team behind LMFDB continues to push the limits of what is possible. See the full MIT LMFDB case study.

educause-1-3

City College of New York and Howard West use GCP Education Grants to equip students with hands-on learning

GCP Education Grants are putting the cloud in the hands of future researchers and computer scientists at more than 500 higher education institutions.

At City College of New York (CCNY), GCP Education Grants provide computer science (CS) students with hands-on experience with virtualization, containers and other cloud technologies. Peter Barnett, Adjunct Associate Computer Science professor, uses GCP Education Grants for students in his Senior Project capstone course, whose software projects have great scientific, social and entrepreneurial potential.  

His teams’ projects include:


  • using machine learning to advance the optical character recognition of handwriting

  • assisting trainers, physical therapists and their clients to develop and maintain correct form in exercise

  • enhancing patent search using content analytics combined with machine learning

  • interior mapping of subway stations and other public places to assist visually impaired people

  • generating quasi-random music with AI that changes in response to user feedback

These students think big, and the GCP grants can help them move from big ideas to new creations.

Across the country, Gloria Washington, a computer science professor from Howard University, helped students in her summer course at Howard West in Mountain View tackle machine learning problems using Cloud Datalab and TensorFlow. These tools allowed Gloria to design a course that was hands-on and project-based, helping students focus on machine learning rather than spending all their time setting up the technology.

“For us, [saving time] was really crucial because we only had five weeks for this course. If you spend a week trying to get them to download the libraries and then make sure that they have the right commands to be able to run it from the shell, that just creates a whole level of complexity that we didn't want to deal with. The complexity was really cut down.”

Professors teaching courses in computer science and related fields can apply for free GCP Education Grants. Learn more about eligibility and apply for grants and see the full case studies about the experiences of Howard West and CCNY.

Taking education higher with Google Cloud Platform

Editor’s note: This week the Google team is in Philadelphia for the annual EDUCAUSE conference, a gathering of higher education technology leaders. If you’re at the event, visit us at booth #1100 to see the latest demos of Google Cloud Platform (GCP), G Suite, Jamboard, as well as virtual reality and augmented reality tools. Or follow the action on our @GoogleForEdu account, using the #EDU17 hashtag. If you want to connect with our team but can’t make it to Philadelphia, contact us.

I’m continually inspired by all the ways that educational institutions use Google Cloud to expand learning for everyone. Today, eleven years after San Jose City College and Arizona State University became the first to adopt G Suite for Education, we’re announcing that more than 80 million students, faculty and staff now use these tools in higher ed and K12.. Meanwhile, Google Cloud’s product portfolio continues to expand, helping us keep up with educators’ and students’ limitless ideas. Below are a few recent highlights of what institutions have been doing with the help of Google Cloud.

educause-1-4

Northeastern researchers understand the spread of Zika using GCP

Amidst the spread of the Zika virus, the Modeling of Biological and Socio-technical Systems (MoBS) lab at Northeastern University, created a model to better understand the deadly virus. Using a mathematical and computational approach powered by GCP, the team studied different scenarios under which Zika could spread, projecting its impact on affected populations. The model is based on the initial spread of Zika in Brazil, and allows researchers to predict the impact of new infections in other locations by introducing additional data layers, including temperature, number of mosquitoes, population size and people’s travel patterns.

With Google Compute Engine and Preemptible Virtual Machines, MoBS has run more than 10 million simulations and drastically reduced the time needed to analyze data.

“Time is vital when confronting disease outbreaks,” says Matteo Chinazzi, Associate Research Scientist at Northeastern University, “and GCP gives us the tools we need to move quickly at scale.” To read more about MoBS Lab’s  Zika research and analysis, check out “Spread of Zika virus in the Americas” and our full Northeastern case study.

educause-1-2

This incidence map of Zika infections, created in December 2016 by the MoBS lab simulation model, is a spatial projection of the median number of infections by February 28, 2017. The inset maps provide detailed projections for the areas of Recife and Belo Horizonte, Brazil.

MIT professor pushes computing limits

Andrew V. Sutherland, a computational number theorist and Principal at the Massachusetts Institute of Technology (MIT), is part of the team behind L-Functions and Modular Forms Database (LMFDB), a detailed atlas of mathematical objects and the connections among them. This database is used by physics, computer science and mathematics communities around the world.

The calculations to create the objects in LMFDB are complex, time-consuming and expensive to perform. Sutherland uses Compute Engine and Persistent Disk to calculate some of those objects. One tabulation required 580,000 cores of preemptible VMs to compute—the largest known high-performance compute cluster to ever run in the public cloud.

LMFDB also uses Google Cloud to host its web servers, as well as GCP tools like Google Stackdriver, Google Cloud Console and Google Cloud Load Balancing. Running on GCP supports countless daily searches, and allows people in multiple countries to easily administer the system.

We’re excited to see how the team behind LMFDB continues to push the limits of what is possible. See the full MIT LMFDB case study.

educause-1-3

City College of New York and Howard West use GCP Education Grants to equip students with hands-on learning

GCP Education Grants are putting the cloud in the hands of future researchers and computer scientists at more than 500 higher education institutions.

At City College of New York (CCNY), GCP Education Grants provide computer science (CS) students with hands-on experience with virtualization, containers and other cloud technologies. Peter Barnett, Adjunct Associate Computer Science professor, uses GCP Education Grants for students in his Senior Project capstone course, whose software projects have great scientific, social and entrepreneurial potential.  

His teams’ projects include:


  • using machine learning to advance the optical character recognition of handwriting

  • assisting trainers, physical therapists and their clients to develop and maintain correct form in exercise

  • enhancing patent search using content analytics combined with machine learning

  • interior mapping of subway stations and other public places to assist visually impaired people

  • generating quasi-random music with AI that changes in response to user feedback

These students think big, and the GCP grants can help them move from big ideas to new creations.

Across the country, Gloria Washington, a computer science professor from Howard University, helped students in her summer course at Howard West in Mountain View tackle machine learning problems using Cloud Datalab and TensorFlow. These tools allowed Gloria to design a course that was hands-on and project-based, helping students focus on machine learning rather than spending all their time setting up the technology.

“For us, [saving time] was really crucial because we only had five weeks for this course. If you spend a week trying to get them to download the libraries and then make sure that they have the right commands to be able to run it from the shell, that just creates a whole level of complexity that we didn't want to deal with. The complexity was really cut down.”

Professors teaching courses in computer science and related fields can apply for free GCP Education Grants. Learn more about eligibility and apply for grants and see the full case studies about the experiences of Howard West and CCNY.

Source: Google Cloud


Taking education higher with Google Cloud Platform

Editor’s note: This week the Google team is in Philadelphia for the annual EDUCAUSE conference, a gathering of higher education technology leaders. If you’re at the event, visit us at booth #1100 to see the latest demos of Google Cloud Platform (GCP), G Suite, Jamboard, as well as virtual reality and augmented reality tools. Or follow the action on our @GoogleForEdu account, using the #EDU17 hashtag. If you want to connect with our team but can’t make it to Philadelphia, contact us.

I’m continually inspired by all the ways that educational institutions use Google Cloud to expand learning for everyone. Today, eleven years after San Jose City College and Arizona State University became the first to adopt G Suite for Education, we’re announcing that more than 80 million students, faculty and staff now use these tools in higher ed and K12.. Meanwhile, Google Cloud’s product portfolio continues to expand, helping us keep up with educators’ and students’ limitless ideas. Below are a few recent highlights of what institutions have been doing with the help of Google Cloud.

educause-1-4

Northeastern researchers understand the spread of Zika using GCP

Amidst the spread of the Zika virus, the Modeling of Biological and Socio-technical Systems (MoBS) lab at Northeastern University, created a model to better understand the deadly virus. Using a mathematical and computational approach powered by GCP, the team studied different scenarios under which Zika could spread, projecting its impact on affected populations. The model is based on the initial spread of Zika in Brazil, and allows researchers to predict the impact of new infections in other locations by introducing additional data layers, including temperature, number of mosquitoes, population size and people’s travel patterns.

With Google Compute Engine and Preemptible Virtual Machines, MoBS has run more than 10 million simulations and drastically reduced the time needed to analyze data.

“Time is vital when confronting disease outbreaks,” says Matteo Chinazzi, Associate Research Scientist at Northeastern University, “and GCP gives us the tools we need to move quickly at scale.” To read more about MoBS Lab’s  Zika research and analysis, check out “Spread of Zika virus in the Americas” and our full Northeastern case study.

educause-1-2

This incidence map of Zika infections, created in December 2016 by the MoBS lab simulation model, is a spatial projection of the median number of infections by February 28, 2017. The inset maps provide detailed projections for the areas of Recife and Belo Horizonte, Brazil.

MIT professor pushes computing limits

Andrew V. Sutherland, a computational number theorist and Principal at the Massachusetts Institute of Technology (MIT), is part of the team behind L-Functions and Modular Forms Database (LMFDB), a detailed atlas of mathematical objects and the connections among them. This database is used by physics, computer science and mathematics communities around the world.

The calculations to create the objects in LMFDB are complex, time-consuming and expensive to perform. Sutherland uses Compute Engine and Persistent Disk to calculate some of those objects. One tabulation required 580,000 cores of preemptible VMs to compute—the largest known high-performance compute cluster to ever run in the public cloud.

LMFDB also uses Google Cloud to host its web servers, as well as GCP tools like Google Stackdriver, Google Cloud Console and Google Cloud Load Balancing. Running on GCP supports countless daily searches, and allows people in multiple countries to easily administer the system.

We’re excited to see how the team behind LMFDB continues to push the limits of what is possible. See the full MIT LMFDB case study.

educause-1-3

City College of New York and Howard West use GCP Education Grants to equip students with hands-on learning

GCP Education Grants are putting the cloud in the hands of future researchers and computer scientists at more than 500 higher education institutions.

At City College of New York (CCNY), GCP Education Grants provide computer science (CS) students with hands-on experience with virtualization, containers and other cloud technologies. Peter Barnett, Adjunct Associate Computer Science professor, uses GCP Education Grants for students in his Senior Project capstone course, whose software projects have great scientific, social and entrepreneurial potential.  

His teams’ projects include:


  • using machine learning to advance the optical character recognition of handwriting

  • assisting trainers, physical therapists and their clients to develop and maintain correct form in exercise

  • enhancing patent search using content analytics combined with machine learning

  • interior mapping of subway stations and other public places to assist visually impaired people

  • generating quasi-random music with AI that changes in response to user feedback

These students think big, and the GCP grants can help them move from big ideas to new creations.

Across the country, Gloria Washington, a computer science professor from Howard University, helped students in her summer course at Howard West in Mountain View tackle machine learning problems using Cloud Datalab and TensorFlow. These tools allowed Gloria to design a course that was hands-on and project-based, helping students focus on machine learning rather than spending all their time setting up the technology.

“For us, [saving time] was really crucial because we only had five weeks for this course. If you spend a week trying to get them to download the libraries and then make sure that they have the right commands to be able to run it from the shell, that just creates a whole level of complexity that we didn't want to deal with. The complexity was really cut down.”

Professors teaching courses in computer science and related fields can apply for free GCP Education Grants. Learn more about eligibility and apply for grants and see the full case studies about the experiences of Howard West and CCNY.

Source: Education