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The RaPiD project at the University of Washington has been studying configurable computing architectures optimized for coarse-grained data and computation units and deep computation pipelines. This research targets applications in the signal and image-processing domain since they make the greatest demand for computation and power in embedded and mobile(More)
Inelastic neutron scattering measurements on single crystals of superconducting BaFe1.84Co0.16As2 reveal a magnetic excitation located at wave vectors (1/2 1/2 L) in tetragonal notation. On cooling below T_{C}, a clear resonance peak is observed at this wave vector with an energy of 8.6(0.5) meV, corresponding to 4.5(0.3) k_{B}T_{C}. This is in good(More)
In this paper we describe the design and use of a web-based tool that enables teachers to create integrated online workspaces for collaborative case-based and problem-based learning. We discuss how this tool has been used in a variety of ways other than those originally intended by the designers. We discuss our classroom-based studies of two of these uses,(More)
Relaxor-based ferroelectrics are prized for their giant electromechanical coupling and have revolutionized sensor and ultrasound applications. A long-standing challenge for piezoelectric materials has been to understand how these ultrahigh electromechanical responses occur when the polar atomic displacements underlying the response are partially broken into(More)
The RaPiD project at the University of Washington has been studying configurable computing architectures that are based on coarse-grained data and computation units. We have chosen signal and image processing as our target domain since they comprise a large part of the computation and power demand in embedded and mobile computing applications, and these(More)
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