Workload Partitioning Algorithm Based on Performance Curve of GPU in Heterogeneous Platforms
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[1] Ziming Zhong,et al. Data Partitioning on Multicore and Multi-GPU Platforms Using Functional Performance Models , 2015, IEEE Transactions on Computers.
[2] Wayne Luk,et al. Dynamic scheduling Monte-Carlo framework for multi-accelerator heterogeneous clusters , 2010, 2010 International Conference on Field-Programmable Technology.
[3] Kenli Li,et al. A parallel computing method using blocked format with optimal partitioning for SpMV on GPU , 2018, J. Comput. Syst. Sci..
[4] Laxmi N. Bhuyan,et al. A dynamic self-scheduling scheme for heterogeneous multiprocessor architectures , 2013, TACO.
[5] Osman S. Unsal,et al. A Machine Learning Approach for Performance Prediction and Scheduling on Heterogeneous CPUs , 2017, 2017 29th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD).
[6] Quan Chen,et al. CPU + GPU scheduling with asymptotic profiling , 2014, Parallel Comput..
[7] Licheng Yu,et al. A CPU-GPGPU Scheduler Based on Data Transmission Bandwidth of Workload , 2012, 2012 13th International Conference on Parallel and Distributed Computing, Applications and Technologies.
[8] Hyesoon Kim,et al. Qilin: Exploiting parallelism on heterogeneous multiprocessors with adaptive mapping , 2009, 2009 42nd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO).
[9] Jie Shen,et al. Look before You Leap: Using the Right Hardware Resources to Accelerate Applications , 2014, 2014 IEEE Intl Conf on High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS).
[10] E. Wes Bethel,et al. GPU-accelerated denoising of 3D magnetic resonance images , 2014, Journal of Real-Time Image Processing.
[11] Jie Shen,et al. Workload Partitioning for Accelerating Applications on Heterogeneous Platforms , 2016, IEEE Transactions on Parallel and Distributed Systems.