Introduces an evaluation framework using abstract task graphs to collect real makespan data on CPU-GPU-FPGA systems and assesses the accuracy of existing analytical prediction methods while noting challenges from data transfers and congestion.
Opencl task partitioning in the presence of GPU contention,
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Evaluating Rapid Makespan Predictions for Heterogeneous Systems with Programmable Logic
Introduces an evaluation framework using abstract task graphs to collect real makespan data on CPU-GPU-FPGA systems and assesses the accuracy of existing analytical prediction methods while noting challenges from data transfers and congestion.