 Does AI for science need another ImageNet Or totally different
benchmarks? A case study of machine learning force fieldsBenchCouncil International Symposium (ISB), 2023 |
 XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for
the MetaverseConference on Machine Learning and Systems (MLSys), 2022 |
 MLPerf Mobile Inference BenchmarkConference on Machine Learning and Systems (MLSys), 2020 |
 Distributed Training of Deep Learning Models: A Taxonomic PerspectiveIEEE Transactions on Parallel and Distributed Systems (TPDS), 2020 |
 The Design and Implementation of a Scalable DL Benchmarking PlatformIEEE International Conference on Cloud Computing (CLOUD), 2019 |
 Edge AIBench: Towards Comprehensive End-to-end Edge Computing
BenchmarkingBenchCouncil International Symposium (ISB), 2018 |
 HPC AI500: A Benchmark Suite for HPC AI SystemsBenchCouncil International Symposium (ISB), 2018 |
