Sasha Ames is a computer scientist in the Center for Applied Scientific Computing at the Lawrence Livermore National Laboratory. Sasha primarily works for the AIMS group led by Dean Williams, for which he is heavily involved in the development and operation of the Earth System Grid Federation ESGF. For that effort, he leads working teams that handle data publication and node services with an emphasis on user notification. He also serves as a deputy lead for the AIMS group, serves on the climate data node operations team for LLNL, and manages the LLNL ESGF site and archive administration. He previously led the E3SM/ACME Data Management sub-group.
In addition to his work with AIMS,
Sasha received his PhD from UC Santa Cruz in 2011 while working at LLNL as part of the Lawrence Scholar Program (since 2008) with Prof. Carlos Maltzahn. This work was part of the SISC and PerMA LDRD efforts, in which he developed the QUASAR query language and QMDS file system software prototype. Previously, he earned a B.A. in computer science from Columbia University, spent several years in industry, working on a financial web application and intrusion detection software, and received a M.S. from UCSC, prior to working at LLNL. At LLNL as a postdoc he worked on the "Metagenomics Search" LDRD with Jonathan E Allen where he was primarily he was primarily responsible for the framework to create searchable genome reference databases and has co-managed the software development and release efforts for the Livermore Metagenomics Analysis Toolkit (LMAT). He also previously worked for the DCA LDRD with Maya Gokhale and Brian Van Essen on evaluating the DI-MMAP runtime module and with JE Allen on an LDRD effort to develop a genomic sequence DeBruijn graph for antibiotic microbial resistance detection.
2017 R&D100 Award for ESGF, ESGF community awards (2)
2015 ESGF community award
2014 Global Security Gold Award
Durack, P. J., K. E. Taylor, V. Eyring, S. K. Ames, T. Hoang, D. Nadeau, C. Doutriaux, M. Stockhause, and P. J. Gleckler (2018), Toward standardized data sets for climate model experimentation, Eos, 99,https://doi.org/10.1029/2018EO101751.
Sasha Ames, Jonathan E. Allen, David A. Hysom, G. Scott Lloyd and Maya B. Gokhale. "Design and Optimization of a Metagenomics Analysis Workflow for NVRAM." 13th IEEE International Workshop on High Performance Computational Biology. May 2014
Brian Van Essen, Henry Hsieh, Sasha Ames, Roger Pearce, Maya Gokhale. “DI-MMAP—a scalable memory-map runtime for out-of-core data-intensive applications.” Cluster Computing (online), October 2013
Sasha K. Ames, David A. Hysom, Shea N. Gardner, G. Scott Lloyd, Maya B. Gokhale, Jonathan E. Allen. "Scalable metagenomic taxonomy classification using a reference genome database.” Bioinformatics, 29 (18) July 2013, 2253-2260.
Brian Van Essen, Henry Hsieh, Sasha Ames, Maya Gokhale, “DI-MMAP: A High Performance Memory Map Runtime for Data-Intensive Applications,” Data intensive scalable computing systems workshop at SC12, November 2012.
Brian Van Essen, Roger Pearce, Sasha Ames, Maya Gokhale: “On the role of NVRAM in data intensive HPC architectures: an Evaluation” in Proceedings of the 26th IEEE International Parallel & Distributed Processing Symposium. May 2012
Sasha Ames, Maya B. Gokhale, Carlos Maltzahn. "QMDS: a file system metadata management service supporting a graph data model-based query language." International Journal of Parallel, Emergent, and Distributed Systems, 28 (9), 2013 159-183.
Sasha Ames, Maya B. Gokhale, Carlos Maltzahn.QMDS: A File System Metadata Management Service Supporting a Graph Data Model-based Query Language. in Procedenings of the 2011 IEEE Conference on Networking, Architecture, and Storage (NAS 2011). Dalian, China, July 2011. LLNL-CONF-45494
Jonathan Koren, Yi Zhang, Sasha Ames, Andrew Leung, Carlos Maltzahn, Ethan L. Miller. Searching and Navigating Petabyte Scale File Systems Based on Facets. Proceedings of the 2007 ACM Petascale Data Storage Workshop (PDSW 07), November 2007.
Sasha Ames, Nikhil Bobb, Kevin Greenan, Owen Hofmann, Mark W. Storer, Carlos Maltzahn, Ethan L. Miller, Scott A. Brandt. LiFS: An attribute-rich file system for storage class memories. Proceedings of the 23rd IEEE / 14th NASA Goddard~ Conference on Mass Storage Systems and Technologies, May 2006.
Ames, A., Bobb , N., Brandt, S.A., Hiatt, A., Maltzahn, C., Miller, E. L., Neeman, A., Tuteja, D.: "Richer File System Metadata Using Links and Attributes", in Proceedings of the 13th NASA Goddard Conference on Mass Storage Systems and Technologies (MSST '05)