Preliminary Design Review: PCA Integrated Radar-Tracker Application

Lebak, James

doi:10.21236/ada419901

Cited by 5 publications

(6 citation statements)

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“…In order to demonstrate the concepts for the PCA system architecture, metadata, and componentization, a PCA mission build chain demonstration was designed and implemented on MIT Integrated Radar Tracker (IRT) benchmark application [14]. As a model-driven architecture, this mission build chain provides a design approach using modeling technology, then derive application programs from the graphical models.…”

Section: Pca Build Chain: a Model-driven Problem Solving Environmentmentioning

confidence: 99%

“…Morphing "The PCA program is building advanced computer architectures that can re-organize their computation and communication structure to achieve better overall application performance" [14]. The reorganization is referred to as morphing.…”

Section: Metamodelmentioning

confidence: 99%

“…An example to show the type and scale of a particular sample streaming sensor application is the Integrated Radar-Tracker (IRT) benchmark application created by MIT Lincoln Laboratory [14]. The IRT is a MATLAB-based "end-to-end specification of a modern intelligence, surveillance, and reconnaissance (ISR) radar system" [23].…”

Section: Introductionmentioning

confidence: 99%

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A Multi-Time Scale Morphable Software Milieu for Polymorphous Computing Architectures (PCA) - Composable, Scalable Systems

Skjellum¹,

Yuan²,

Dandass³

2004

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REPORT DOCUMENTATION PAGEForm Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. 12b. DISTRIBUTION CODE ABSTRACT (Maximum 200 Words)Polymorphous Computing Architectures (PCA) rapidly "morph" (reorganize) software and hardware configurations in order to achieve high performance on computation styles ranging from specialized streaming to general threaded applications; the former is most like a pipeline processor, while the latter is most like a collection of common desktop processors. This project explored a multi-time scale morphable software environment (denoted 'milieu') whose purpose was to suggest ways to build applications from components of varying scales; these components were to include small and large amounts of code, different algorithms, and different parallelism. The purpose of PCA is to reduce the cost, size, power, and other "footprint" aspects of computing that can be most efficiently done with radically different kinds of computing elements; pre-PCA systems connect disparate parts with low utilization outcomes. This project sought to create a model-based software framework for reactive monitoring, optimization, modeling, resource negotiation and allocation, regeneration, and verification. Model-based software uses principles like "legos" or "tinker toys" to model interactions and roles, and allow a framework in which software is created. This project report addresses the research objectives and key accomplishments, while introducing the technical concepts and approaches developed in this project for the PCA software development. Future work is also recommended in this report.

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Section: Pca Build Chain: a Model-driven Problem Solving Environmentmentioning

confidence: 99%

Section: Metamodelmentioning

confidence: 99%

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A Multi-Time Scale Morphable Software Milieu for Polymorphous Computing Architectures (PCA) - Composable, Scalable Systems

Skjellum¹,

Yuan²,

Dandass³

2004

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“…In the previous stage, the Doppler filtering operations were performed in the direction of the pulse dimension of the data cube. In this stage, all the data corresponding to a particular Doppler must be used to perform the matrix multiply described by equation (2). This requires that a rearrangement of the data cube, similar to the comer-turn kernel benchmark [1], has to be performed.…”

Section: (2)mentioning

confidence: 99%

“…The integrated radar-tracker application [2] is in some ways a superset of the functionality described here. That application was designed to provide additional computation requirements to challenge PCAs.…”

Section: Introductionmentioning

confidence: 99%

Polymorphous Computing Architecture (PCA) Application Benchmark 1: Three-Dimensional Radar Data Processing

Lebak¹,

McMahon²,

Arakawa³

2001

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The DARPA Polymorphous Computing Architecture (PCA) program is building advanced computer architectures that can reorganize their computation and communication structures to achieve better overall application performance. As part of the PCA program, MIT Lincoln Laboratory has been asked to provide examples of defense-oriented applications that will challenge the candidate architectures. This report describes an example airborne radar data processing application. Several example application parameter sets are given that reflect the range of requirements spanned by current systems.

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Polymorphous Computing Architecture (PCA) Kernel-Level Benchmarks

Lebak¹,

Reuther²,

Wong³

2004

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Preliminary Design Review: PCA Integrated Radar-Tracker Application

Cited by 5 publications

References 1 publication

A Multi-Time Scale Morphable Software Milieu for Polymorphous Computing Architectures (PCA) - Composable, Scalable Systems

A Multi-Time Scale Morphable Software Milieu for Polymorphous Computing Architectures (PCA) - Composable, Scalable Systems

Polymorphous Computing Architecture (PCA) Application Benchmark 1: Three-Dimensional Radar Data Processing

Polymorphous Computing Architecture (PCA) Kernel-Level Benchmarks

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