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Balancing Thread-Level and Task-Level Parallelism for Data-Intensive Workloads on Clusters and Clouds.

, , , , , and . CLUSTER, page 390-393. IEEE Computer Society, (2015)

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Achievable Rate of Gaussian Cognitive Z-Interference Channel with Partial Side Information., and . GLOBECOM, page 1-5. IEEE, (2009)Expected rate of slow-fading channel with partial CSIT under computational and transmit power constraints., and . GLOBECOM, page 1903-1908. IEEE, (2013)Towards universal power efficient scheduling in wireless channels.. ICC, page 123-127. IEEE, (2004)Space-time super-resolution from multiple-videos., , and . ISSPA, page 23-28. IEEE, (2012)Optimal Placement and Configuration of Roadside Units in Vehicular Networks., , and . VTC Spring, page 1-6. IEEE, (2012)Estimation of centralized spectrum sensing overhead for cognitive radio networks., and . PIMRC, page 659-663. IEEE, (2014)Sequential Frame Synchronization Based on Hypothesis Testing With Unknown Channel State Information., , and . IEEE Trans. Commun., 63 (8): 2972-2984 (2015)Analysis and experimental evaluation of rate adaptation with transmit buffer information., , and . EURASIP J. Wirel. Commun. Netw., (2014)Measurement of Three-Dimensional Structural Displacement Using a Hybrid Inertial Vision-Based System., , , and . Sensors, 19 (19): 4083 (2019)Dirty Paper Coding for Gaussian Cognitive Z-Interference Channel: Performance Results., and . IEEE Trans. Wirel. Commun., 12 (12): 6086-6095 (2013)