most citedPerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 1 cited

PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices

Yuji Chai, Devashree Tripathy, Chuteng Zhou +6

The ability to accurately predict deep neural network (DNN) inference performance metrics, such as latency, power, and memory footprint, for an arbitrary DNN on a target hardware p…

cs.MM2014

Precision-Energy-Throughput Scaling Of Generic Matrix Multiplication and Convolution Kernels Via Linear Projections

Mohammad Ashraful Anam, Paul N. Whatmough, Yiannis Andreopoulos

Generic matrix multiplication (GEMM) and one-dimensional convolution/cross-correlation (CONV) kernels often constitute the bulk of the compute- and memory-intensive processing with…