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

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 …

ABSTRACT In most Big Data applications, the data is heterogeneous. As we have been
arguing in a series of papers, storage engines should be well suited to the data they hold …

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 …

Virtual machines and virtualized hardware have been around for over half a century. The
commoditization of the x86 platform and its rapidly growing hardware capabilities have led …

Detecting anomalous behavior in network traffic is a major challenge due to the volume and
velocity of network traffic. For example, a 10 Gigabit Ethernet connection can generate over …

Knights Landing (KNL) is the code name for the second-generation Intel Xeon Phi product
family. KNL has generated significant interest in the data analysis and machine learning …

Diverse workloads such as interactive supercomputing, big data analysis, and large-scale AI
algorithm development, requires a high-performance scheduler. This paper presents a novel …

The MIT SuperCloud Portal Workspace enables the secure exposure of web services
running on high performance computing (HPC) systems. The portal allows users to run any …