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About Scientific Networking at Berkeley Lab

Greg Bell, Director, Scientific Networking Division and ESnet

Greg Bell, Director, Scientific Networking Division and ESnet

The Scientific Networking Division was created in recognition of the strong and growing connection between advanced networking capabilities and data-intensive science. The mission of Scientific Networking is to accelerate discovery by delivering unparalleled network infrastructure, capabilities and tools, and by advancing the science of information networking.   

The U.S. Department of Energy’s Energy Sciences Network, or ESnet, forms the division's core. ESnet interconnects more than 40 DOE sites, including the entire national laboratory system, its supercomputing centers, and major experimental facilities. In 2011, the organization achieved two historic milestones – celebrating its 25th anniversary, and deploying the world’s first 100 gigabit-per-second (Gbps) nationwide network.

Greg Bell serves as Director of the Scientific Networking Division and of the Energy Sciences Network. 

The Scientific Networking Division is one of three divisions within Berkeley Lab’s Computing Sciences Area, led by Kathy Yelick, Associate Laboratory Director for Computing Sciences.

“With ESnet’s successful deployment of the world’s fastest science network, and its growing portfolio of networking innovations in support of experimental and computational science, we decided that the organization should stand on its own as a Berkeley Lab division,” said Lab Director Paul Alivisatos. “From transmitting massive sets of experimental data from facilities such as the Large Hadron Collider in Europe and the Relativistic Heavy Ion Collider at Brookhaven National Laboratory, to connecting thousands of users to DOE’s leading supercomputing centers, ESnet plays a critical role in advancing scientific discovery throughout the DOE research community.”

Funded principally by DOE's Office of Science, ESnet allows scientists to make effective use of unique DOE research facilities and computing resources, independent of time and geographic location.