“The selection of Intel to deliver the Aurora supercomputer is validation of our unique position to lead a new era in HPC,” said Raj Hazra, vice president, Data Center Group and general manager, Technical Computing Group at Intel. “Intel’s HPC scalable system framework enables balanced, scalable and efficient systems while extending the ecosystem’s decades of software investment to future generations. We look forward to the numerous scientific discoveries and the far-reaching impacts on society that Aurora will enable.”
This morning Intel and the U.S. Department of Energy announced a $200 million supercomputing investment coming to Argonne National Laboratory. As the third of three Coral supercomputer procurements, the deal will comprise an 8.5 Petaflop “Theta” system based on Knights Landing in 2016 and a much larger 180 Petaflop “Aurora” supercomputer in 2018. Intel will be the prime contractor on the deal, with sub-contractor Cray building the actual supercomputers.
Today Intel announced that the company will deliver two next-generation supercomputers to Argonne National Laboratory. “The contract is part of the DOE’s multimillion dollar initiative to build state-of-the-art supercomputers at Argonne, Lawrence Livermore and Oak Ridge National Laboratories that will be five to seven times more powerful than today’s top supercomputers.”
“Facebook had the forethought to create the Open Compute Foundation and share IP from designing a highly efficient computing infrastructure at an extremely low cost. We are now building on that collaborative development model to bring expanded flexibility with regard to form factors, processors and configurations for a broad range of customer requirements.”
IEEE has launched something it calls Rebooting Computing (RC), “an initiative that proposes to rethink the computer through a holistic look that addresses all aspects of computing.” Through exponential performance scaling, the IEEE RC initiative aims to help the computing industry turn the corner to surpass its current setbacks and challenges—specifically regarding the deceleration of computational power and capacity.