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Coordinating the use of GPU and CPU for improving performance of compute intensive applications.

, , , , , , and . CLUSTER, page 1-10. IEEE Computer Society, (2009)

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Run-time optimizations for replicated dataflows on heterogeneous environments., , , and . HPDC, page 13-24. ACM, (2010)Large-scale parallel similarity search with Product Quantization for online multimedia services., , , , and . J. Parallel Distributed Comput., (2019)Cooperative and out-of-core execution of the irregular wavefront propagation pattern on hybrid machines with Intel® Xeon Phi™., , , , , and . Concurr. Comput. Pract. Exp., (2018)CUDAlign 4.0: Incremental Speculative Traceback for Exact Chromosome-Wide Alignment in GPU Clusters., , , , , and . IEEE Trans. Parallel Distributed Syst., 27 (10): 2838-2850 (2016)Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU., , , , and . CoRR, (2013)Region Templates: Data Representation and Management for Large-Scale Image Analysis., , , , , , and . CoRR, (2014)Data Flow Frameworks for Emerging Heterogeneous Architectures and Their Application to Biomedicine., , , , and . Scientific Computing with Multicore and Accelerators, CRC Press / Taylor & Francis, (2010)Increasing Accuracy of Medical CNN Applying Optimization Algorithms: An Image Classification Case., , , , and . BRACIS, page 233-238. IEEE, (2019)Spatial-aware data partition for distributed memory parallelization of ANN search in multimedia retrieval., , and . Parallel Comput., (February 2023)Region templates: Data representation and management for high-throughput image analysis., , , , , , and . Parallel Comput., 40 (10): 589-610 (2014)