Interactive massively parallel computations are critical for machine learning and data
analysis. These computations are a staple of the MIT Lincoln Laboratory Supercomputing …

Protected database search systems cryptographically isolate the roles of reading from,
writing to, and administering the database. This separation limits unnecessary administrator …

The success of SQL, NoSQL, and NewSQL databases is a reflection of their ability to provide
significant functionality and performance benefits for specific domains, such as financial …

The Spectre and Meltdown flaws in modern microprocessors represent a new class of
attacks that have been difficult to mitigate. The mitigations that have been proposed have …

Big data and the Internet of Things era continue to challenge computational systems.
Several technology solutions such as NoSQL databases have been developed to deal with …

Artificial Intelligence (AI) has the opportunity to revolutionize the way the United States
Department of Defense (DoD) and Intelligence Community (IC) address the challenges of …

The Apache Accumulo database excels at distributed storage and indexing and is ideally
suited for storing graph data. Many big data analytics compute on graph data and persist …

We have developed a reference implementation of the BigDAWG system: a new architecture
for future Big Data applications, guided by the philosophy that “one size does not fit all” …

The SuiteSparse GraphBLAS C-library implements high performance hypersparse matrices
with bindings to a variety of languages (Python, Julia, and Matlab/Octave). GraphBLAS …

Modern NoSQL database systems use log-structured merge (LSM) storage architectures to
support high write throughput. LSM architectures aggregate writes in a mutable MemTable …