789 citations · 1k across the 13 of their papers we have counts for
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cs.DB2020
Approximate Partition Selection for Big-Data Workloads using Summary Statistics
Kexin Rong, Yao Lu, Peter Bailis +2
Many big-data clusters store data in large partitions that support access at a coarse, partition-level granularity. As a result, approximate query processing via row-level sampling…
cs.AR2020★ 24 cited
GRIP: A Graph Neural Network Accelerator Architecture
Kevin Kiningham, Christopher Re, Philip Levis
We present GRIP, a graph neural network accelerator architecture designed for low-latency inference. AcceleratingGNNs is challenging because they combine two distinct types of comp…