As of November 2019, the supercomputer had ranked as the 5th most energy efficient in the world with a measured power efficiency of 14.668 gigaFLOPS/watt.[9] Summit was the first supercomputer to reach exaflop (a quintillion operations per second) speed, on a non-standard metric, achieving 1.88 exaflops during a genomic analysis and is expected to reach 3.3 exaflops using mixed-precision calculations.[10]
History
The United States Department of Energy awarded a $325 million contract in November 2014 to IBM, Nvidia and Mellanox. The effort resulted in construction of Summit and Sierra. Summit is tasked with civilian scientific research and is located at the Oak Ridge National Laboratory in Tennessee. Sierra is designed for nuclear weapons simulations and is located at the Lawrence Livermore National Laboratory in California.[11]
Summit was estimated to cover 5,600 square feet (520 m2)[12] and require 219 kilometres (136 mi) of cabling.[13] Researchers will utilize Summit for diverse fields such as cosmology, medicine, and climatology.[14]
In 2015, the project called Collaboration of Oak Ridge, Argonne and Lawrence Livermore (CORAL) included a third supercomputer named Aurora and was planned for installation at Argonne National Laboratory.[15] By 2018, Aurora was re-engineered with completion anticipated in 2021 as an exascale computing project along with Frontier and El Capitan to be completed shortly thereafter.[16] Aurora was completed in late 2022.[17]
Uses
The Summit supercomputer was built for research in energy, artificial intelligence, human health, and other areas.[18] It has been used in earthquake simulation, extreme weather simulation, materials science, genomics, and predicting the lifetime of neutrinos.[19]
To provide a high rate of data throughput, the nodes are connected in a non-blocking fat-tree topology using a dual-rail Mellanox EDR InfiniBand interconnect for both storage and inter-process communications traffic, which delivers both 200 Gbit/s bandwidth between nodes and in-network computing acceleration for communications frameworks such as MPI and SHMEM/PGAS.
The storage for Summit [23] has a fast in-system layer and a center-wide parallel filesystem layer. The in-system layer is optimized for fast storage with SSDs on each node, while the center-wide parallel file system provides easy to access data stored on hard drives. The two layers work together seamlessly so users do not have to differentiate their storage needs. The center-wide parallel file system is GPFS (IBM Storage Scale). It provides 250PB of storage. The cluster delivers 2.5 TB/s of single stream read peak throughput and 1 TB/s of 1M file throughput. It was one of the first supercomputers that also required extremely fast metadata performance to support AI/ML workloads exemplified by the 2.6M 32k file creates per second it delivers.
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