Visit additional Tabor Communication Publications
May 03, 2012
BERKELEY, Calif., May 3 -- John Bell, an applied mathematician and computational scientist who leads the Center for Computational Sciences and Engineering and the Mathematics and Computational Science Department at Lawrence Berkeley National Laboratory, has been elected to the National Academy of Sciences.
Bell was one of 84 new members and 21 foreign associates announced by the National Academy of Sciences on May 1, 2012, in recognition of their distinguished and continuing achievements in original research.
The National Academy of Sciences is a private organization of scientists and engineers dedicated to the furtherance of science and its use for the general welfare. It was established in 1863 by Congress, which can call on the Academy to act as an official adviser to the federal government, upon request, in any matter of science or technology.
“John’s election to the National Academy of Sciences is great news and a fitting recognition of his work in developing algorithms to advance the study of a wide range of scientific problems,” said Katherine Yelick, Associate Laboratory Director for Computing Sciences at Berkeley Lab. “John and his team have helped scientists better understand problems ranging from combustion to carbon sequestration to supernovae. We’re proud to have him at Berkeley Lab.”
Bell is well known for his contributions in the areas of finite difference methods, numerical methods for low Mach number flows, adaptive mesh refinement, interface tracking, and parallel computing and the application of these numerical methods to problems from a broad range of fields including combustion, shock physics, seismology, flow in porous media, and astrophysics. He is the co-author of more than 160 research papers. View his web page.
Bell is the deputy director of the Department of Energy’s Combustion Exascale Co-Design Center, a five-year project to investigate numerical algorithms, data management and programming models needed to simulate combustion on future exascale computer architectures.
In 2009, he was one of five Berkeley Lab mathematicians in the first group of researchers elected as fellows of the Society for Industrial and Applied Mathematics (SIAM).
In 2005 he was awarded the Institute of Electrical and Electronics Engineering’s (IEEE) Sidney Fernbach Award “for outstanding contributions to the development of numerical algorithms, mathematical, and computational tools and on the application of those methods to conduct leading-edge scientific investigations in combustion, fluid dynamics, and condensed matter."
In 2003, Bell and fellow NAS member Phillip Colella were co-recipients of the 2003 SIAM/ACM Prize in Computational Science and Engineering, awarded by SIAM and the Association for Computing Machinery (ACM) for “outstanding contributions to the development and use of mathematical and computational tools and methods for the solution of science and engineering problems.”
Bell earned his M.S. and Ph.D. from Cornell University after receiving a B.S. from MIT, all in mathematics. He worked as a researcher at the Naval Surface Weapons Center and Exxon Production Research Company before joining Lawrence Livermore National Laboratory in 1986. In 1996, Bell and his group moved from LLNL to Berkeley Lab.
Source: Lawrence Berkeley National Laboratory
Contributing commentator, Andrew Jones, offers a break in the news cycle with an assessment of what the national "size matters" contest means for the U.S. and other nations...
Today at the International Supercomputing Conference in Leipzing, Germany, Jack Dongarra presented on a proposed benchmark that could carry a bit more weight than its older Linpack companion. The high performance conjugate gradient (HPCG) concept takes into account new architectures for new applications, while shedding the floating point....
Not content to let the Tianhe-2 announcement ride alone, Intel rolled out a series of announcements around its Knights Corner and Xeon Phi products--all of which are aimed at adding some options and variety for a wider base of potential users across the HPC spectrum. Today at the International Supercomputing Conference, the company's Raj....
Jun 19, 2013 |
Supercomputer architectures have evolved considerably over the last 20 years, particularly in the number of processors that are linked together. One aspect of HPC architecture that hasn't changed is the MPI programming model.
Jun 18, 2013 |
The world's largest supercomputers, like Tianhe-2, are great at traditional, compute-intensive HPC workloads, such as simulating atomic decay or modeling tornados. But data-intensive applications--such as mining big data sets for connections--is a different sort of workload, and runs best on a different sort of computer.
Jun 18, 2013 |
Researchers are finding innovative uses for Gordon, the 285 teraflop supercomputer housed at the San Diego Supercomputer Center (SDSC) that has a unique Flash-based storage system. Since going online, researchers have put the incredibly fast I/O to use on a wide variety of workloads, ranging from chemistry to political science.
Jun 17, 2013 |
The advent of low-power mobile processors and cloud delivery models is changing the economics of computing. But just as an economy car is good at different things than a full size truck, an HPC workload still has certain computing demands that neither the fastest smartphone nor the most elastic cloud cluster can fulfill.
Jun 14, 2013 |
For all the progress we've made in IT over the last 50 years, there's one area of life that has steadfastly eluded the grasp of computers: understanding human language. Now, researchers at the Texas Advanced Computing Center (TACC) are utilizing a Hadoop cluster on its Longhorn supercomputer to move the state of the art of language processing a little bit further.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
Join HPCwire Editor Nicole Hemsoth and Dr. David Bader from Georgia Tech as they take center stage on opening night at Atlanta's first Big Data Kick Off Week, filmed in front of a live audience. Nicole and David look at the evolution of HPC, today's big data challenges, discuss real world solutions, and reveal their predictions. Exactly what does the future holds for HPC?
Join our webinar to learn how IT managers can migrate to a more resilient, flexible and scalable solution that grows with the data center. Mellanox VMS is future-proof, efficient and brings significant CAPEX and OPEX savings. The VMS is available today.