Benchmarking in the datacenter (BID) 2020

Abstract

workshop in beautiful San Diego was composed of two submitted papers and two invited talks. first paper presentation, Power Modeling for Phytium FT-2000+ Multi-core Architecture by Zhixin Ou a PhD student from the National University of Defense Technology was streamed from Hunan, China due to travel difficulties. Her talk describes the application of HPCC benchmarks on the first software-based power model for the new Phytium FT-2000+/64 ARM platform. results of these benchmarks of the software were compared with real power measurements to prove how accurate this approach is. first invited talk by Ammar Awan a PhD student at Ohio State University, Deep Learning Workloads on Large-Scale HPC Systems described machine learning and deep learning benchmarks. He described parallel communication in distributed deep learning for training image recognition networks and how it is different from typical high performance computing parallel communication. He identified reproducibility and benchmarks for new applications of deep learning as important future areas. second invited presentation was given by the San Diego Supercomputer Center (SDSC) user support lead Mahidhar Tatineni and addressed the Evolution of Benchmarking on SDSC systems. It was an interesting talk that gave an overview of platforms and benchmarks at the supercomputing center closest to the conference venue. speaker succeeded in capturing all aspects in this regard during his 15-years of devoted work at the San Diego Supercomputing Center. final paper presentation, The ESIF-HPC-2 Benchmark Suite was given by Christopher Chang who works at the National Renewable Energy Laboratory (NREL) in the HPC Application group in Denver. He described the benchmark suite he and his team developed for procurement of the most recent NREL supercomputer. He demonstrated a set of dimensions that are useful in classifying benchmarks and in systematically assessing their coverage of performance measures. This suite is released as open source software on GitHub. program committee for the workshop was composed of: • David Bailey (Lawrence Berkely National Laboratory and University of California Davis) • Valeria Bartsch (Fraunhofer ITWM) • Ben Blamey (Uppsala University) • Rodrigo N. Calheiros (Western Sydney University) • Anando Chatterjee (Indian Institute of Technology Kanpur) • Juan Chen (National University of Defense Technology) • Pawel Czarnul (Gdansk University of Technology) • Denis Demidov (Kazan Federal University and Russian Academy of Sciences) • Joel Guerrero (University of Genoa and Wolf Dynamics) • Khaled Ibrahim (Lawrence Berkeley National Laboratory) • Kate Isaacs (University of Arizona) • Beau Johnston (Australian National University and University of New England) • Mchael Lehn (University of Ulm) • Maged Korga • Guo Liang (Open Data Center Committee and China Academy of Information and Communications Technology) • Xioyi Lu (Ohio State University) • Amitava Majumdar (San Diego Supercomputing Center) • Jorji Nonaka (Riken) • Peter Pirkelbauer (Lawrence Livermore National Laboratory) • Harald Servat (Intel) • Ashwin Siddarth (University of Texas at Arlington) • Manodeep Sinha (Swinburne University of Technology) • Gabor Szarnyas (Budapest University of Technology and Economics) • Mahidhar Tatineni (San Diego Supercomputing Center) • Jianfeng Zhan (Chinese Academy of Sciences) We thank the program committee and the subreviewers for their careful review of the submitted papers, with each paper obtaining at least 4 reviews. We thank the authors for their patience with the publication process.