| PMatlab Takes the HPCchallenge |
01 FEB 2005 |
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| Authors:
Ryan Haney; Hahn Kim; Andrew Funk; Jeremy Kepner; Charles Rader; Albert Reuther; Nadya Travinin; MASSACHUSETTS INST OF TECH LEXINGTON LINCOLN LAB
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 | The HPCchallenge benchmark suite has been released by the DARPA HPCS program to help define the performance boundaries of future Petascale computing systems. The suite is composed of several well known computational kernels (STREAM, Top500, FFT, and RandomAccess) that span high and low spatial and temporal locality. These kernels also encompass key aspects of embedded signal processing: vector computations, matrix multiplies, corner turns and random selection operations. MATLAB 2 is ... |
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| Deployment of SAR and GMTI Signal Processing on a Boeing 707 Aircraft Using pMatlab and a Bladed Linux Cluster |
28 SEP 2004 |
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| Authors:
Jeremy Kepner; Tim Currie; Hahn Kim; Andrew McCabe; Bipin Mathew; Michael Moore; Dan Rabinkin; Albert Reuther; Andrew Rhoades; Nadya Travinin; Lou Tella; MASSACHUSETTS INST OF TECH LEXINGTON LINCOLN LAB
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| The Lincoln Multifunction Intelligence, Surveillance and Reconnaissance Testbed (LiMIT) is an airborne research laboratory for development, testing, and evaluation of sensors and processing algorithms. During flight tests it is desirable to process the sensor data to validate the sensors and to provide targets and images for use in other on-board applications. Matlab is used for this processing because of the rapidly changing nature of the algorithms, but requires hours to ... |
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| LLgrid: Enabling On-Demand Grid Computing with gridMatlab and pMatlab |
28 MAY 2004 |
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| Authors:
Albert Reuther; Tim Currie; Jeremy Kepner; Hahn G. Kim; Andrew McCabe; Michael P. Moore; Nadya Travinin; MASSACHUSETTS INST OF TECH LEXINGTON LINCOLN LAB
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| 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 ... |
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