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Modeling synthetic aperture radar computation with Aspen.

, , , and . Int. J. High Perform. Comput. Appl., 27 (3): 255-262 (2013)

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Aspen: a domain specific language for performance modeling., and . SC, page 84. IEEE/ACM, (2012)Accelerating S3D: A GPGPU Case Study., , , , , and . Euro-Par Workshops, volume 6043 of Lecture Notes in Computer Science, page 122-131. Springer, (2009)Keeneland: Bringing Heterogeneous GPU Computing to the Computational Science Community., , , , , , , , , and 1 other author(s). Comput. Sci. Eng., 13 (5): 90-95 (2011)Sesame: informing user security decisions with system visualization., , , and . CHI, page 1045-1054. ACM, (2008)Quantifying NUMA and contention effects in multi-GPU systems., , and . GPGPU, page 11. ACM, (2011)Maestro: Data Orchestration and Tuning for OpenCL Devices., , and . Euro-Par (2), volume 6272 of Lecture Notes in Computer Science, page 275-286. Springer, (2010)Performance Implications of Nonuniform Device Topologies in Scalable Heterogeneous Architectures., , , and . IEEE Micro, 31 (5): 66-75 (2011)Modeling synthetic aperture radar computation with Aspen., , , and . Int. J. High Perform. Comput. Appl., 27 (3): 255-262 (2013)Quartile and Outlier Detection on Heterogeneous Clusters Using Distributed Radix Sort., , and . CLUSTER, page 412-419. IEEE Computer Society, (2011)The Scalable Heterogeneous Computing (SHOC) benchmark suite., , , , , , , and . GPGPU, volume 425 of ACM International Conference Proceeding Series, page 63-74. ACM, (2010)