Venue of Bench'19

2019 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench'19)

Denver, Colorado, USA
Nov 14-16, 2019

Accepted Papers

    1. A Practical Data Repository for Causal Learning with Big Data by Lu Cheng (Arizona State University), Ruocheng Guo (Arizona State University), Raha Moraffah (Arizona State University), K.S. Candan (Arizona State University), Adrienne Raglin (US Army Research Laboratory) and Huan Liu (Arizona State University)

    2. Deep Reinforcement Learning for Auto-optimization of I/O Accelerator Parameters by Trong-Ton Pham and Dennis Djan (Bull - ATOS technologies)

    3. Performance Analysis of GPU Programming Models using the Roofline Scaling Trajectories by Khaled Ibrahim, Samuel Williams and Loenid Oliker (Lawrence Berkeley National Laboratory )

    4. NTP : A Neural Net Topology Profiler by Pravin Chandran (Intel), Raghavendra Bhat (Intel), Juby Jose (Intel), Viswanath Dibbur (Ex Intel) and Prakash Sirra Ajith (Ex Sasken)

    5. Apache Spark Streaming, Kafka and HarmonicIO: A Performance Benchmark and Architecture Comparison for Enterprise and Scientific Computing by Ben Blamey, Andreas Hellander and Salman Zubair Toor (Uppsala University )

    6. Causal Learning in Question Quality Improvement by Yichuan Li, Ruocheng Guo, Weiying Wang and Huan Liu (Arizona State University)

    7. MCC: a Predictable and Scalable Massive Client Load Generator by Wenqing Wu, Xiao Feng, Wenli Zhang and Mingyu Chen (ICT, Chinese Academy of Sciences; University of Chinese Academy of Sciences)

    8. SSH-Backed API Performance Case Study by Anagha Jamthe, Mike Packard, Joe Stubbs (Texas Advanced Computing Center, Austin TX), Gilbert Curbelo (California State University of Monterey Bay, Marina CA), Roseline Shapi (Mississippi Valley State University, Itta Bena, MS) and Elias Chalhoub (The University of Texas at Austin)

    9. SparkAIBench: A Benchmark to Generate AI Workloads on Spark by Zifeng Liu, Xiaojiang Zuo, Zeqing Li and Rui Han (Beijing institute of technology)

    10. Building the DataBench Workflow and Architecture by Todor Ivanov, Timo Eichhorn (Goethe University Frankfurt) and Arne Berre (SINTEF AS)

    11. LCIO: Large Scale Filesystem Aging by Matthew Bachstein (University of Tennessee, Knoxville), Feiyi Wang and Sarp Oral (Oak Ridge National Laboratory)

    12. Benchmarking Database Ingestion Ability with Real-Time Big Astronomical Data by Qing Tang, Chen Yang, Xiaofeng Meng (Renmin University) and Zhihui Du (Tsinghua University)

    13. Benchmarking Solvers for The One Dimensional Cubic Nonlinear Klein Gordon Equation on a Single Core by Benson Muite (University of Tartu) and Samar Aseeri (KAUST)

    14. Benchmark researches from the perspective of Metrology by Kun Yang, Tong Wu and Qingfei Shen (National Institute of Metrology)

    15. Early Experience in Benchmarking Edge AI Processors with Object Detection Workloads by Yujie Hui (The Ohio State University), Jeffrey Lien (NovuMind Inc.) and Xiaoyi Lu (The Ohio State University)

    16. Anomaly Analysis and Diagnosis for Co-located Datacenter Workloads in the Alibaba Cluster by Rui Ren (Institute of computing technology, Chinese Academy of Sciences)

    17. GraphBench: A Benchmark Suite for Graph Computing Systems by Lei Wang and Minghe Yu (Institute of computing technology, Chinese Academy of Sciences)