DyPE is a data-aware dynamic scheduler for heterogeneous GPU-FPGA systems that outperforms static scheduling on GNN and sliding-window transformer inference benchmarks.
A survey of sparse matrix-vector multiplication performance on large matrices,
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Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems
DyPE is a data-aware dynamic scheduler for heterogeneous GPU-FPGA systems that outperforms static scheduling on GNN and sliding-window transformer inference benchmarks.