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Tango: A Deep Neural Network Benchmark Suite for Various Accelerators
[article]
2019
arXiv
pre-print
Deep neural networks (DNNs) have been proving the effectiveness in various computing fields. To provide more efficient computing platforms for DNN applications, it is essential to have evaluation environments that include assorted benchmark workloads. Though a few DNN benchmark suites have been recently released, most of them require to install proprietary DNN libraries or resource-intensive DNN frameworks, which are hard to run on resource-limited mobile platforms or architecture simulators.
arXiv:1901.04987v1
fatcat:5kcbyowrrngvrf2o3ks7rfklsm