5 ExaFlop/s HPL-MxP Benchmark with Linear Scalability on the 40-Million-Core Sunway SupercomputerRongfen Lin (National Research Center of Parallel Computer Engineering and Technology, China; Tsinghua University, China); Xinhui Yuan (National Research Center of Parallel Computer Engineering and Technology, China); Wei Xue (Tsinghua University, China; Qinghai University); WanWang Yin (National Research Center of Parallel Computer Engineering & Technology, China); Jienan Yao (Tsinghua University, China); Junda Shi (National Research Center of Parallel Computer Engineering and Technology, China); Qiang Sun (National Research Center of Parallel Computer Engineering & Technology, China); Chaobo Song (National Research Center of Parallel Computer Engineering and Technology, China); and Fei Wang (Tsinghua University, China; National Research Center of Parallel Computer Engineering and Technology)
69.7-PFlops Extreme Scale Earthquake Simulation with Crossing Multi-Faults and Topography on SunwayWubing Wan and Lin Gan (Tsinghua University, China; National Supercomputing Center in Wuxi, China); Wenqiang Wang (Southern University of Science and Technology, China); Zekun Yin and Haodong Tian (Shandong University, China); Zhenguo Zhang (Southern University of Science and Technology, China); Yinuo Wang (Tsinghua University, China); Mengyuan Hua and Xiaohui Liu (Shandong University, China); Shengye Xiang and Zeyu Song (Tsinghua University, China); Zhongqiu He and Zijia Wang (Southern University of Science and Technology, China); Ping Gao (Tsinghua University, China; National Supercomputing Center in Wuxi, China); Yaojian Chen (Tsinghua University, China); Xiaohui Duan (Shandong University, China); Xin Liu (National Supercomputing Center in Wuxi); Wei Zhang (Southern University of Science and Technology, China); Haohuan Fu and Wei Xue (Tsinghua University, China); Weiguo Liu (Shandong University, China); Guangwen Yang (Tsinghua University, China); and Xiaofei Chen (Southern University of Science and Technology, China)
Accelerating Communications in Federated Applications with Transparent Object ProxiesJ. Gregory Pauloski and Valerie Hayot-Sasson (University of Chicago); Logan Ward (Argonne National Laboratory (ANL)); Nathaniel Hudson and Charlie Sabino (University of Chicago); and Matt Baughman, Kyle Chard, and Ian Foster (University of Chicago, Argonne National Laboratory (ANL))
Adaptive Workload-Balanced Scheduling Strategy for Global Ocean Data Assimilation on Massive GPUsJunmin Xiao (Institute of Computing Technology, Chinese Academy of Sciences); Chaoyang Shui (Institute of Computing Technology, Institute of Computing Technology, Chinese Academy of Sciences); and Di Cai, Kangyu Wang, Yunfei Pang, Mingyi Li, Hui Ma, and Guangming Tan (Institute of Computing Technology, Chinese Academy of Sciences)
ADT-FSE: A New Encoder for SZTao Lu (DapuStor Corporation); Yu Zhong, Zibin Sun, Xiang Chen, You Zhou, and Fei Wu (Huazhong University of Science & Technology); and Ying Yang, Yunxin Huang, and Yafei Yang (DapuStor Corporation)
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement ApplicationsDaoce Wang (Indiana University), Jesus Pulido and Pascal Grosset (Los Alamos National Laboratory (LANL)), Jiannan Tian and Sian Jin (Indiana University), Houjun Tang and Jean Sexton (Lawrence Berkeley National Laboratory (LBNL)), Sheng Di (Argonne National Laboratory (ANL)), Kai Zhao (Florida State University), Bo Fang (Pacific Northwest National Laboratory (PNNL)), Zarija Lukić (Lawrence Berkeley National Laboratory (LBNL)), Franck Cappello (Argonne National Laboratory (ANL)), James Ahrens (Los Alamos National Laboratory (LANL)), and Dingwen Tao (Indiana University)
ANT-MOC: Scalable Neutral Particle Transport Using 3D Method of Characteristics on Multi-GPU SystemsShunde Li and Zongguo Wang (Computer Network Information Center, Chinese Academy of Sciences); Lingkun Bu (National Center for Materials Service Safety, University of Science and Technology Beijing); Jue Wang and Zhikuang Xin (Computer Network Information Center, Chinese Academy of Sciences); Shigang Li (School of Computer Science, Beijing University of Posts and Telecommunications); Yangang Wang and Yangde Feng (Computer Network Information Center, Chinese Academy of Sciences); Peng Shi (National Center for Materials Service Safety, University of Science and Technology Beijing); Yun Hu (China Institute of Atomic Energy); and Xuebin Chi (Computer Network Information Center, Chinese Academy of Sciences)
Big Data Assimilation: Real-Time 30-Second-Refresh Heavy Rain Forecast Using Fugaku during Tokyo Olympics and ParalympicsTakemasa Miyoshi, Arata Amemiya, Shigenori Otsuka, Yasumitsu Maejima, and James Taylor (RIKEN); Takumi Honda (Hokkaido University, Japan; RIKEN); Hirofumi Tomita Tomita and Seiya Nishizawa (RIKEN); Kenta Sueki (RIKEN, Meteorological Research Institute); Tsuyoshi Yamaura (RIKEN); Yutaka Ishikawa (National Institute of Informatics); Shinsuke Satoh (National Institute for Information and Communications Technology); Tomoo Ushio (Osaka University); Kana Koike (MTI Ltd.); and Atsuya Uno (RIKEN, National Research Institute for Earth Science and Disaster Resilience)
Bringing Order to Sparsity: A Sparse Matrix Reordering Study on Multicore CPUsJames D. Trotter (Simula Research Laboratory); Sinan Ekmekçibaşı (Istanbul University - Cerrahpaşa); Johannes Langguth (Simula Research Laboratory; University of Bergen, Norway); Tugba Torun and Emre Düzakın (Koç University); Aleksandar Ilic (INESC-ID, IST, University of Lisbon); and Didem Unat (Koç University, Turkey)
Co-Design Hardware and Algorithm for Vector SearchWenqi Jiang (ETH Zurich); Shigang Li (Beijing University of Posts and Telecommunications); Yu Zhu, Johannes de Fine Licht, Zhenhao He, and Runbin Shi (ETH Zurich); Cedric Renggli (Apple Inc); Shuai Zhang (ETH Zurich); Theodoros Rekatsinas (Apple Inc); and Torsten Hoefler and Gustavo Alonso (ETH Zurich)
Data Flow Lifecycles for Optimizing Workflow CoordinationHyungro Lee and Luanzheng Guo (Pacific Northwest National Laboratory (PNNL)), Meng Tang (Illinois Institute of Technology), Jesun Firoz and Nathan Tallent (Pacific Northwest National Laboratory (PNNL)), and Anthony Kougkas and Xian-He Sun (Illinois Institute of Technology)
Design Considerations and Analysis of Multi-Level Erasure Coding in Large-Scale Data CentersMeng Wang, Jiajun Mao, and Rajdeep Rana (University of Chicago); John Bent (Los Alamos National Laboratory (LANL)); Serkay Olmez (Seagate Research); Anjus George (Oak Ridge National Laboratory (ORNL)); Garrett Wilson Ransom (Los Alamos National Laboratory (LANL)); Jun Li (CUNY Queens College and Graduate Center); and Haryadi S. Gunawi (University of Chicago)
EasyScale: Elastic Training with Consistent Accuracy and Improved Utilization on GPUsMingzhen Li (Beihang University), Wencong Xiao (Unaffiliated), Hailong Yang and Biao Sun (Beihang University), Hanyu Zhao and Shiru Ren (Unaffiliated), Zhongzhi Luan (Beihang University), Xianyan Jia (Unaffiliated), Yi Liu (Beihang University), Yong Li and Wei Lin (Unaffiliated), and Depei Qian (Beihang University)
Efficient Maximal Biclique Enumeration on GPUsZhe Pan, Shuibing He, and Xu Li (Zhejiang University); Xuechen Zhang (Washington State University, Vancouver); and Rui Wang and Gang Chen (Zhejiang University)
Embracing Irregular Parallelism in HPC with YGMTrevor Steil (Lawrence Livermore National Laboratory), Tahsin Reza (University of Waterloo), and Benjamin Priest and Roger Pearce (Lawrence Livermore National Laboratory)
Enabling Real World Scale Structural Superlubricity All-Atom Simulation on the Next-Generation Sunway SupercomputerXiaohui Duan (Shandong University, National Supercomputing Center in Wuxi); Jin Wang (International School for Advanced Studies, Italy); Ping Gao (Tsinghua University, National Supercomputing Center in Wuxi); Ming Ma (Tsinghua University); Lin Gan (Tsinghua University, National Supercomputing Center in Wuxi); Xin Liu (National Supercomputing Center in Wuxi); Haohuan Fu and Wei Xue (Tsinghua University, National Supercomputing Center in Wuxi); Dexun Chen (National Supercomputing Center in Wuxi); Guangwen Yang (Tsinghua University, National Supercomputing Center in Wuxi); and Weiguo Liu (Shandong University, National Supercomputing Center in Wuxi)
Enhance the Strong Scaling of LAMMPS on FugakuJianxiong Li, Tong Zhao, Zhuoqiang Guo, and Shunchen Shi (State Key Lab of Processors, Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences); Lijun Liu (Department of Mechanical Engineering, Graduate School of Engineering, Osaka University.); and Guangming Tan, Weile Jia, Guojun Yuan, and Zhan Wang (State Key Lab of Processors, Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences)
Establishing a Modeling System in 3-km Horizontal Resolution for Global Atmospheric Circulation Triggered by Submarine Volcanic Eruptions with 200 Billion Smoothed Particles HydrodynamicsJunshi Chen and Shenghong Huang (University of Science and Technology of China (USTC), Laoshan Laboratory); Ziyu Zhang, Xiaoyu Hao, and Jun Gu (University of Science and Technology of China); Hong An, Chun Zhao, and Yan Hu (University of Science and Technology of China (USTC), Laoshan Laboratory); Zhanming Wang, Longkui Chen, Yifan Luo, Jineng Yao, Yi Zhang, Yang Zhao, and Zhihao Wang (University of Science and Technology of China); Dongning Jia and Zhao Jin (Laoshan Laboratory); Changming Song and Xisheng Luo (University of Science and Technology of China); and Xiaobin He and Dexun Chen (National Research Center of Parallel Computer Engineering and Technology, China)
Exascale Multiphysics Nuclear Reactor Simulations for Advanced DesignsElia Merzari (Pennsylvania State University); Steven Hamilton and Tom Evans (Oak Ridge National Laboratory (ORNL)); Misun Min (Argonne National Laboratory (ANL)); Paul Fischer (University of Illinois); Stefan Kerkemeier, Jun Fang, and Paul Romano (Argonne National Laboratory (ANL)); Yu-Hsiang Lan (University of Illinois); Malachi Phillips (University of Illinois, Sandia National Laboratories); Elliott Biondo and Katherine Royston (Oak Ridge National Laboratory (ORNL)); Tim Warburton (Virginia Tech); Noel Chalmers (Advanced Micro Devices (AMD) Inc); and Thilina Rathnayake (University of Illinois)
Experiences Readying Applications for ExascaleNicholas Malaya (Advanced Micro Devices (AMD) Inc); Bronson Messer (Oak Ridge National Laboratory (ORNL)); Joseph Glenski (Hewlett Packard Enterprise (HPE)); Antigoni Georgiadou, Justin Lietz, and Kalyana Gottiparthi (Oak Ridge National Laboratory (ORNL)); Marc Day (National Renewable Energy Laboratory (NREL)); Jackie Chen (Sandia National Laboratories); Jon Rood and Lucas Esclapez (National Renewable Energy Laboratory (NREL)); James White III (Hewlett Packard Enterprise (HPE)); Gustav R. Jansen (Oak Ridge National Laboratory (ORNL)); Nicholas Curtis (AMD Research); Stephen Nichols (Oak Ridge National Laboratory (ORNL)); Jakub Kurzak, Noel Chalmers, Chip Freitag, Paul Bauman, and Alessandro Fanfarillo (AMD Research); Reuben D. Budiardja and Thomas Papatheodore (Oak Ridge National Laboratory (ORNL)); Nicholas Frontiere (Argonne National Laboratory (ANL)); Damon McDougall (AMD Research); Matthew Norman, Sarat Sreepathi, Philip Roth, and Dmytro Bykov (Oak Ridge National Laboratory (ORNL)); Noah Wolfe and Paul Mullowney (AMD Research); Markus Eisenbach (Oak Ridge National Laboratory (ORNL)); Marc T. Henry de Frahan (National Renewable Energy Laboratory (NREL)); and Wayne Joubert (Oak Ridge National Laboratory (ORNL))
Exploring the Ultimate Regime of Turbulent Rayleigh–Bénard Convection through Unprecedented Spectral-Element SimulationsNiclas Jansson, Martin Karp, Adalberto Perez, and Timofey Mukha (KTH Royal Institute of Technology); Yi Ju (Max Planck Computing and Data Facility); Jiahui Liu and Szilárd Páll (KTH Royal Institute of Technology); Erwin Laure (Max Planck Computing and Data Facility); Tino Weinkauf (KTH Royal Institute of Technology); Jörg Schumacher (Technische Universität Ilmenau); Philipp Schlatter (Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg; KTH Royal Institute of Technology, Sweden); and Stefano Markidis (KTH Royal Institute of Technology)
Fine-Grained Policy-Driven I/O Sharing for Burst BuffersEd Karrels (University of Illinois), Lei Huang (Texas Advanced Computing Center (TACC)), Yuhong Kan and Ishank Arora (University of Texas), Yinzhi Wang (Texas Advanced Computing Center (TACC)), Daniel S. Katz and William Gropp (University of Illinois), and Zhao Zhang (Texas Advanced Computing Center (TACC))
Frontier: Exploring ExascaleScott Atchley and Christopher Zimmer (Oak Ridge National Laboratory (ORNL)); John Lange (Oak Ridge National Laboratory (ORNL), University of Pittsburgh); David Bernholdt, Veronica Melesse Vergara, Thomas Beck, Michael Brim, and Reuben Budiardja (Oak Ridge National Laboratory (ORNL)); Sunita Chandrasekaran (University of Delaware); Markus Eisenbach, Thomas Evans, and Matthew Ezell (Oak Ridge National Laboratory (ORNL)); Nicholas Frontiere (Argonne National Laboratory (ANL)); Antigoni Georgiadou (Oak Ridge National Laboratory (ORNL)); Joe Glenski (Hewlett Packard Enterprise (HPE)); Philipp Grete (University of Hamburg); Steven Hamilton and John Holmen (Oak Ridge National Laboratory (ORNL)); Axel Huebl (Lawrence Berkeley National Laboratory (LBNL)); Daniel Jacobson and Wayne Joubert (Oak Ridge National Laboratory (ORNL)); Kim McMahon (Hewlett Packard Enterprise (HPE)); Elia Merzari (Pennsylvania State University); Stan Moore (Sandia National Laboratories); Andrew Myers (Lawrence Berkeley National Laboratory (LBNL)); Stephen Nichols, Sarp Oral, and Thomas Papatheodore (Oak Ridge National Laboratory (ORNL)); Danny Perez (Los Alamos National Laboratory (LANL)); David M. Rogers (Oak Ridge National Laboratory (ORNL)); Evan Schneider (University of Pittsburgh); Jean-Luc Vay (Lawrence Berkeley National Laboratory (LBNL)); and P. K. Yeung (Georgia Institute of Technology)
High Throughput Training of Deep Surrogates from Large Ensemble RunsLucas Meyer (National Institute for Research in Digital Science and Technology, Electricité de France); Marc Schouler and Robert Alexander Caulk (National Institute for Research in Digital Science and Technology); Alejandro Ribes (Electricité de France); and Bruno Raffin (National Institute for Research in Digital Science and Technology)
High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor FormulationsMaciej Besta (ETH Zurich); Paweł Renc (AGH-UST, Sano Centre for Computational Medicine); Robert Gerstenberger (ETH Zurich); Paolo Sylos Labini (Free University of Bozen-Bolzano, ETH Zurich); Alexandros Ziogas, Tiancheng Chen, Lukas Gianinazzi, Florian Scheidl, Kalman Szenes, Armon Carigiet, and Patrick Iff (ETH Zurich); Grzegorz Kwasniewski (NextSilicon); Raghavendra Kanakagiri (University of Illinois); Chio Ge and Sammy Jaeger (ETH Zurich); Jarosław Wąs (AGH-UST); Flavio Vella (University of Trento); and Torsten Hoefler (ETH Zurich)
High-Performance SVD Partial Spectrum ComputationDavid Keyes and Hatem Ltaief (King Abdullah University of Science and Technology (KAUST)); Yuji Nakatsukasa (Mathematical Institute University of Oxford); and Dalal Sukkari (University of Tennessee, Innovative Computing Laboratory (ICL))
I/O in WRF: A Case Study in Modern Parallel I/O TechniquesZanhua Huang, Kaiyuan Hou, Ankit Agrawal, and Alok Choudhary (Northwestern University); Robert Ross (Argonne National Laboratory (ANL)); and Wei-Keng Liao (Northwestern University)
Interference-Aware Multiplexing for Deep Learning in GPU Clusters: A Middleware ApproachWenyan Chen (University of Macau; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences); Zizhao Mo and Huanle Xu (University of Macau); Kejiang Ye (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences); and Chengzhong Xu (University of Macau)
Large-Scale Simulation of Structural Dynamics Computing on GPU ClustersYumeng Shi (Computer Network Information Center, Chinese Academy of Sciences); Ningming Nie (Computer Network Information Center, Chinese Academy of Sciences; University of Chinese Academy of Sciences); Shunde Li and Jue Wang (Computer Network Information Center, Chinese Academy of Sciences); Kehao Lin (Hangzhou Dianzi University; Computer Network Information Center, Chinese Academy of Sciences); Chunbao Zhou (Computer Network Information Center, Chinese Academy of Sciences); Shigang Li (School of Computer Science, Beijing University of Posts and Telecommunications); Kehan Yao (Hangzhou Dianzi University); Yangde Feng (Computer Network Information Center, Chinese Academy of Sciences); Yan Zeng (Hangzhou Dianzi University); Fang Liu and Yangang Wang (Computer Network Information Center, Chinese Academy of Sciences); and Yue Gao (China Institute of Atomic Energy)
Legate Sparse: Distributed Sparse Computing in PythonRohan Yadav (Stanford University); Wonchan Lee, Melih Elibol, Manolis Papadakis, Taylor Lee-Patti, and Michael Garland (NVIDIA Corporation); Alex Aiken and Fredrik Kjolstad (Stanford University); and Michael Bauer (NVIDIA Corporation)
Optimizing Direct Convolutions on ARM Multi-CoresPengyu Wang, Weiling Yang, Jianbin Fang, Dezun Dong, Chun Huang, Peng Zhang, and Tao Tang (National University of Defense Technology (NUDT), China) and Zheng Wang (School of Computing, University of Leeds, United Kingdom)
Optimizing MPI Collectives on Shared Memory Multi-CoresJintao Peng, Jianbin Fang, Jie Liu, Min Xie, Yi Dai, Bo Yang, and Shengguo Li (National University of Defense Technology (NUDT), China) and Zheng Wang (School of Computing at the University of Leeds)
Portable and Scalable All-Electron Quantum Perturbation Simulations on Exascale SupercomputersZhikun Wu, Yangjun Wu, and Ying Liu (Institute of Computing Technology, Chinese Academy of Sciences); Honghui Shang (University of Science and Technology of China); Yingxiang Gao (National Supercomputer Center in Tianjin); Zhongcheng Zhang and Yuyang Zhang (Institute of Computing Technology, Chinese Academy of Sciences); Yingchi Long (Institute of Computing Technology, Chinese Academy of Sciences; Harbin Institute of Technology); and Xiaobing Feng and Huiming Cui (Institute of Computing Technology, Chinese Academy of Sciences)
Prodigy: Toward Unsupervised Anomaly Detection in Production HPC SystemsBurak Aksar (Boston University, Sandia National Laboratories); Efe Sencan (Boston University); Benjamin Schwaller, Omar Aaziz, Vitus J. Leung, and Jim Brandt (Sandia National Laboratories); and Brian Kulis, Manuel Egele, and Ayse K. Coskun (Boston University)
Rapid Simulations of Atmospheric Data Assimilation of Hourly-Scale Phenomena with Modern Neural NetworksYiyuan Li, Xiting Ju, Yi Xiao, Qilong Jia, and Yongxiao Zhou (Tsinghua University, China); Simeng Qian (National Supercomputing Center in Wuxi); Rongfen Lin (National Research Center of Parallel Computer Engineering and Technology, China); Bin Yang (Tsinghua University, China); Shupeng Shi (National Supercomputing Center in Wuxi); Xin Liu, Jie Gao, Zhen Wang, Sha Liu, Jian Tan, and Xuan Wang (National Research Center of Parallel Computer Engineering and Technology); Zhengding Hu (University of Science and Technology of China); Limin Yan (Beijing Sankuai Online Technology Co, Ltd; National Supercomputing Center in Wuxi); and Wei Xue (Tsinghua University, China; Department of Computer Technology and Application, Qinghai University)
Scalable Tuning of (OpenMP) GPU Applications via Kernel Record and ReplayKonstantinos Parasyris and Giorgis Georgakoudis (Lawrence Livermore National Laboratory), Esteban Rangel (Argonne National Laboratory (ANL)), and Ignacio Laguna and Johannes Doerfert (Lawrence Livermore National Laboratory)
The Simple Cloud-Resolving E3SM Atmosphere Model Running on the Frontier Exascale SystemMark Taylor (Sandia National Laboratories); Peter M. Caldwell (Lawrence Livermore National Laboratory); Luca Bertagna and Conrad Clevenger (Sandia National Laboratories); Aaron S. Donahue (Lawrence Livermore National Laboratory); James G. Foucar, Oksana Guba, and Benjamin R. Hillman (Sandia National Laboratories); Noel Keen (Lawrence Berkeley National Laboratory (LBNL)); Jayesh Krishna (Argonne National Laboratory); Matthew R. Norman and Sarat Sreepathi (Oak Ridge National Laboratory (ORNL)); Christopher R. Terai (Lawrence Livermore National Laboratory); James B. White III (Hewlett Packard Enterprise (HPE)); Danqing Wu (Argonne National Laboratory (ANL)); Andrew G. Salinger (Sandia National Laboratories); Renata B. McCoy (Lawrence Livermore National Laboratory); L. Ruby Leung (Pacific Northwest National Laboratory (PNNL)); and David C. Bader (Lawrence Livermore National Laboratory)
Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the Graphcore IPULuk Burchard (Simula Research Laboratory); Max Xiaohang Zhao (Charité Universitätsmedizin Berlin); Johannes Langguth (Simula Research Laboratory, University of Bergen); Aydın Buluç (Lawrence Berkeley National Laboratory (LBNL)); and Giulia Guidi (Cornell University)
TANGO: Re-Thinking Quantization for Graph Neural Network Training on GPUsShiyang Chen (Rutgers University); Da Zheng (Amazon); Caiwen Ding (University of Connecticut); Chengying Huan (Institute of Software, Chinese Academy of Sciences); Yuede Ji (University of North Texas); and Hang Liu (Rutgers University)
Toward Exascale Computation for Turbomachinery FlowsYuhang Fu, Weiqi Shen, Jiahuan Cui, and Yao Zheng (Zhejiang University); Guangwen Yang and Zhao Liu (Tsinghua University, China; National Supercomputing Center in Wuxi); Jifa Zhang, Tingwei Ji, and Fangfang Xie (Zhejiang University); Xiaojing Lv, Hanyue Liu, and Xu Liu (National Supercomputing Center in Wuxi); Xiyang Liu and Xiaoyu Song (Taiyuan University of Technology); Guocheng Tao (Zhejiang University); Yan Yan (Xi’an Jiaotong-Liverpool University); Paul Tucker (University of Cambridge); Steven Miller (University of Florida); Shirui Luo and Seid Koric (University of Illinois); and Weimin Zheng (Tsinghua University)
Xfast: Extreme File Attribute Stat Acceleration for LustreYingjin Qian (Data Direct Networks), Wen Cheng and Lingfang Zeng (Zhejiang Lab), Xi Li (Data Direct Networks), Marc-André Vef (Johannes Gutenberg University Mainz), Andreas Dilger and Siyao Lai (Whamcloud Inc), Shuichi Ihara (Data Direct Networks), Yong Fan (Intel Corporation), and André Brinkmann (Johannes Gutenberg University Mainz)
