Jeremy Kepner, a Lincoln Laboratory Fellow in the Cyber Security and Info Sciences Division and a research study affiliate of the MIT Department of Mathematics, was called to the 2021 class of fellows of the Society for Industrial and Applied Mathematics (SIAM). The fellow classification honors SIAM members who have made impressive contributions to the 17 mathematics-related research areas that SIAM promotes through its publications, conferences, and community of researchers. Kepner was acknowledged for “contributions to interactive parallel computing, matrix-based graph algorithms, green supercomputing, and big data.”
Since joining Lincoln Lab in 1998, Kepner has worked to expand the abilities of computing at the lab and throughout the computing neighborhood. He has published broadly, served on technical committees of nationwide conferences, and added to local efforts to supply access to supercomputing.
“Jeremy has had two decades of adding to the important field of high performance computing, including both supercomputers and embedded systems. He has actually also made a seminal effect to supercomputer system research. He created a distinct method to do signal processing on sparse data, seriously crucial for parsing through socials media and causing more efficient use of parallel computing environments,” states David Martinez, now a Lincoln Laboratory fellow and previously a department head who employed and after that dealt with Kepner for many years.
At Lincoln Laboratory, Kepner initially led the U.S. Department of Defense (DoD) High Efficiency Embedded Computing Software application Initiative that produced the Vector, Signal and Image Processing Library standard that numerous DoD sensing unit systems have utilized. In 1999, he developed the MatlabMPI software application and in 2001 was the designer of pMatlab (Parallel Matlab Tool Kit) that has actually been utilized by thousands of Lincoln Lab personnel and scientists and engineers worldwide. In 2011, the Parallel Vector Tile Optimizing Library (PVTOL), established under Kepner’s instructions, won an R&D 100 Award.
“Jeremy has been a world leader in moving the state of high performance computing forward for the previous two decades,” says Stephen Rejto, head of Lincoln Lab’s Cyber Security and Information Sciences Department. “His vision and drive have been important to the laboratory’s objective.”
Kepner led a consortium to pioneer the Massachusetts Green High Performance Computing Center, the world’s largest and, because of its usage of hydropower, “greenest” open research data center, which is allowing a dramatic boost in MIT’s computing capabilities while minimizing its CO2 footprint. He led the facility of the existing Lincoln Lab Supercomputing Center, which boasts New England’s most effective supercomputer. In 2019, he helped found the U.S. Air Force-MIT AI Accelerator, which leverages the knowledge and resources of MIT and the Flying force to advance research in artificial intelligence.
“These private honors are an acknowledgment of the accomplishments of our entire Lincoln team to whom I am forever indebted,” Kepner says.
Kepner’s recent work has actually remained in graph analytics and huge data. He created a book database management language and schema (Dynamic Dispersed Dimensional Data Model, or D4M), which is extensively utilized in both Lincoln Lab and federal government huge data systems.
His publications range throughout lots of fields– data mining, databases, high efficiency computing, graph algorithms, cybersecurity, visualization, cloud computing, random matrix theory, abstract algebra, and bioinformatics. Amongst his works are 2 SIAM bestselling books, “Parallel MATLAB for Multicore and Multinode Computers” and “Chart Algorithms in the Language of Linear Algebra.” In 2018, he and coauthor Hayden Jananthan published “Mathematics of Big Data” as one of the books in the MIT Lincoln Lab series put out by MIT Press.
Kepner, who joined SIAM throughout his graduate days at Princeton University, has not just released books and short articles through SIAM but likewise been included with the SIAM community’s activities. He has actually served as vice chair of the SIAM International Conference on Data Mining; encourages a SIAM student area; and enlisted SIAM’s affiliation with the High Performance Extreme (originally Embedded) Computing (HPEC) conference, in which he has had “an important role in combining the high efficiency ingrained computing community and which under his leadership became an IEEE conference in 2012,” according to Martinez, who founded the Lincoln Laboratory-hosted HPEC conference in 1997.
Kepner is the very first Lincoln Lab researcher to attain the rank of SIAM Fellow and the ninth from MIT.