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UrduThe Laboratory is moving their large-scale simulation input-output (I/O) from file-based to record- and column-based, which enables analytics to be done using tools from the big data/analytics community. The Laboratory has shown 1000X speedups on analysis of simulation output by leveraging indexing to achieve data reduction on query via their DeltaFS parallel-file system technology. These indexing capabilities enable ordered range queries and point queries. Pushing indexing capabilities closer to the storage devices can save orders of magnitude of data movement upon retrieval for analysis.
In a first for the nonvolatile memory express industry, system researchers at SK hynix achieved pushing indexing capability functionality into the new KV-CSD prototype to mate with Laboratory security science applications.
“Moving our large-scale physics simulations from file-based I/O to record- and columnar-indexed I/O has shown incredible speedups for analysis of simulation output,” said Gary Grider, High Performance Computing division leader at Los Alamos. “Demonstrations like this show it is possible to build an ordered KV-CSD that moves the ordering and indexing of data as close to the storage device as possible, maximizing the wins on retrieval from on-the-fly indexing as data is written to the storage. The ordering capability enables range queries that are particularly useful in computational science applications as well as point queries that key value storage is known for.”
“As large-scale simulation data and big data analytics grow, solutions are critical for these communities,” said Charles Ahn, head of Solution Development at SK hynix. “We are very excited about continuing our research partnership with Los Alamos on this high-performance innovation, we consider the partnership with Los Alamos an important steppingstone toward our commitment to invest and find innovative technologies that tackle memory and storage bottlenecks in traditional HPC infrastructure.”
Los Alamos National Laboratory and SK hynix have a memorandum of understanding toward the design, implementation and evaluation of the KV-CSD.
About Los Alamos National Laboratory
Los Alamos National Laboratory, a multidisciplinary research institution engaged in strategic science on behalf of national security, is managed by Triad, a public service-oriented, national security science organization equally owned by its three founding members: Battelle Memorial Institute (Battelle), the Texas A&M University System (TAMUS), and the Regents of the University of California (UC) for the Department of Energy’s National Nuclear Security Administration.
Los Alamos enhances national security by ensuring the safety and reliability of the U.S. nuclear stockpile, developing technologies to reduce threats from weapons of mass destruction, and solving problems related to energy, environment, infrastructure, health, and global security concerns.
About SK hynix
SK hynix Inc., headquartered in Korea, is the world’s top-tier semiconductor supplier offering Dynamic Random Access Memory chips (“DRAM”), flash memory chips (“NAND flash”) and CMOS Image Sensors (“CIS”) for a wide range of distinguished customers globally. The Company’s shares are traded on the Korea Exchange, and the Global Depository shares are listed on the Luxemburg Stock Exchange. Further information about SK hynix is available at www.skhynix.com, news.skhynix.com.
