The Broad Institute enables new levels of research with Google engineering and Intel optimizations.
These days scientists and researchers rely on strong computational horsepower to overcome challenges in research and answer the toughest questions by running simulations. Now, to provide them with the best resource cloud providers like Google is helping with them fast, cost-effective Google N1 and N2 instances.
Thanks to the ongoing collaboration with Intel and Google Cloud to accelerate genomic research, the Broad Institute of MIT and Harvard has optimized its workflows based on these two instances. Compared to the initial deployment of workloads on Google Cloud, the collaboration resulted in an 85% reduction in the cost of data processing after optimization.
“We knew the cloud would allow a whole new level of data federation and collaboration, and we could work with others to create a cloud-based data ecosystem, where researchers could combine their workflows on more than the data they generated with other datasets into richer, more powerful computational experiments.”
Geraldine Van der Auwera, Data Sciences Platform director of outreach and communications, the Broad Institute of MIT and Harvard
To adapt to a dramatic increase in genomics data generation and computational research demand, the Broad Institute migrated its workloads to Google Cloud N2 instances. By modularizing its pipeline workflows, right-sizing cloud instances based on the needs of the workload and optimizing for Intel® Xeon® Scalable processors, the Broad Institute users can run its genomics workflows on Google Cloud about 25% faster and at 34% lower cost by deploying on N2 instances with Xeon Scalable processors.
Read more at Intel Newsroom.
