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GPU Performance Estimation using Software Rasterization and Machine Learning.

, , , , и . ACM Trans. Embed. Comput. Syst., 16 (5s): 148:1-148:21 (2017)

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Michael Steven O'Neal

Kenneth Froese

Kenneth Simon

Kenneth Anders

Kenneth Ndyabawe

 

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A digital microfluidic biochip synthesis framework., , , , , , и . VLSI-SoC, стр. 177-182. IEEE, (2012)HLSPredict: cross platform performance prediction for FPGA high-level synthesis., , , , , и . ICCAD, стр. 104. ACM, (2018)GPU Performance Estimation using Software Rasterization and Machine Learning., , , , и . ACM Trans. Embed. Comput. Syst., 16 (5s): 148:1-148:21 (2017)HALWPE: Hardware-Assisted Light Weight Performance Estimation for GPUs., , , и . DAC, стр. 80:1-80:6. ACM, (2017)Hardware-Assisted Cross-Generation Prediction of GPUs Under Design., , , и . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 38 (6): 1133-1146 (2019)Similarity-Based Fast Analysis of Data Center Networks., , , , , и . IEEE Des. Test, 40 (6): 100-111 (декабря 2023)Predictive Modeling for CPU, GPU, and FPGA Performance and Power Consumption: A Survey., и . ISVLSI, стр. 763-768. IEEE Computer Society, (2018)Resource-Constrained Scheduling for Digital Microfluidic Biochips., , и . JETC, 14 (1): 7:1-7:26 (2018)An open-source compiler and PCB synthesis tool for digital microfluidic biochips., , , , , , , , , и . Integr., (2015)Performance and Power Prediction of Compute Accelerators Using Machine Learning.. University of California, Riverside, USA, (2018)