Refer LLGrid > Interactive Supercomputing
In the page of origin are ten groups described by their functions, all of which follow the pasted introductory paragraph immediately below. Here are the groups, and their links are in the original.
- Group 101—ISR Systems and Architectures
Group 102—Embedded and Open Systems
Group 103—Advanced Sensor Techniques
Group 104—Intelligence and Decision Technologies
Group 105—Airborne Radar Systems and Techniques
Group 106—Active Optical Systems
Group 107—Advanced Capabilities and Systems
Group 108—Tactical Defense Systems
Group 109—Systems and Analysis
ISR and Tactical Systems | MIT Lincoln Laboratory
tag: middleware, infrastructure, LLGrid, measurement, situational awareness, unmanned vehicle, interactive, supercomputer, intelligence, surveillance, reconnaissance (ISR), counterterrorism, Air Force, air vehicle, electronic warfare. Paragraph spaces were added here for an easy read.
- The ISR and Tactical Systems Division leads MIT Lincoln Laboratory research and technology development for intelligence, surveillance, and reconnaissance (ISR) systems, counterterrorism, and Air Force activities including air vehicle survivability and electronic warfare.
The division has significant expertise in radio-frequency (RF) and optical sensor technology, advanced signal processing, data fusion and exploitation, high-performance computing, and systems analysis.
Significant field-testing activity is undertaken to understand phenomenology, to demonstrate new systems concepts in relevant environments, and to reconcile system performance models with real-world measurements. Examples of recent activities include the development of airborne 3D ladar for wide-area precision terrain mapping, new sensors to detect improvised explosive devices, service-oriented architecture prototyping for real-time situational awareness, and the development of very high-performance compact RF receivers for unmanned vehicle applications.
The division operates LLGrid, the world’s largest interactive supercomputer, and the Lincoln Laboratory Flight Facility, which provides aircraft and ground support services for flight operations associated with Laboratory programs.
LLgrid: Enabling On-Demand Grid Computing With gridMatlab and pMatlab
pdf 30 pp, dated 2004, MIT Lincoln Laboratory
Tags are not limited to: sweep, grid, data, infrastructure, node, network, interactive, computer, computing, ROI, measuring productivity. Paragraph spaces were added here for an easy read.
- Abstract: The concept of grid computing -- back-room computational resources that are as accessible and available as the electric grid -- has gained momentum recently. Numerous Grid computing projects such as NetSolve and Legion have provided infrastructure to enable the launching and monitoring of mostly parameter sweep applications.
These Grid computing projects demand that users endure a steep learning curve to program and use the system. Also, these systems draw a strong distinction between the users’ computers and the grid computing resources: users’ work is done on their own computers, while grid jobs are executed on grid resources. A computational power grid should have characteristics similar to the electric power grids: always available, ubiquitous throughout the organization, and easy to use.
The goal of the MIT Lincoln Laboratory Grid (LLgrid) project is to develop an On-Demand Grid Computing capability to address these characteristics and use MATLAB -- the dominant programming language for implementing numerical computations, widely used for algorithm development, simulation, data reduction, testing, and system evaluation -- as its initial target application.
MIT Lincoln Laboratory has over one thousand MATLAB users; nearly two hundred users run very long jobs that could benefit from parallel processing. The LLgrid project has developed three technologies that allow these users to run parallel MATLAB jobs transparently on the LLgrid computational resources: MatlabMPI for point-to-point messaging; pMatlab for global array semantics (similar to High Performance Fortran); and gridMatlab for integrating users’ computers into the LLgrid and automatically allocating grid computing resources.
Descriptors : *GRIDS, *MATHEMATICAL PROGRAMMING, *HIGH LEVEL LANGUAGES, SYMPOSIA, COMPUTATIONS, SEMANTICS, PARALLEL PROCESSING, RESOURCE MANAGEMENT, MESSAGE PROCESSING.
Subject Categories : Operations Research, Computer Programming and Software
Distribution Statement : APPROVED FOR PUBLIC RELEASE
Edit: I deleted a sentence from my introduction, a sentence that didn’t make sense. Yeah, I do catch them, occasionally .