MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems.
Steven FarrellMurali EmaniJacob BalmaLukas DrescherAleksandr DrozdAndreas FinkGeoffrey C. FoxDavid KanterThorsten KurthPeter MattsonDawei MuAmit RuhelaKento SatoKoichi ShirahataTsuguchika TabaruAristeidis TsarisJan BalewskiBen CummingTakumi DanjoJens DomkeTakaaki FukaiNaoto FukumotoTatsuya FukushiBalazs GerofiTakumi HondaToshiyuki ImamuraAkihiko KasagiKentaro KawakamiShuhei KudoAkiyoshi KurodaMaxime MartinassoSatoshi MatsuokaHenrique MendonçaKazuki MinamiPrabhat RamTakashi SawadaMallikarjun ShankarTom St. JohnAkihiro TabuchiVenkatram VishwanathMohamed WahibMasafumi YamazakiJunqi YinPublished in: CoRR (2021)
Keyphrases
- machine learning
- high performance computing
- benchmark suite
- scientific computing
- data mining
- management system
- machine learning methods
- computational science
- fault tolerance
- complex systems
- learning systems
- artificial intelligence
- machine learning approaches
- knowledge based systems
- intelligent systems
- computational intelligence
- inductive logic programming
- massively parallel
- information retrieval
- natural language processing
- machine learning systems
- knowledge base
- feature selection