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ORCIDICPP 2019: Kyoto, Japan
- Proceedings of the 48th International Conference on Parallel Processing, ICPP 2019, Kyoto, Japan, August 05-08, 2019. ACM 2019, ISBN 978-1-4503-6295-5
Best Paper for ICPP 2019
- Ian Bogle, Karen D. Devine, Mauro Perego, Sivasankaran Rajamanickam, George M. Slota:
A Parallel Graph Algorithm for Detecting Mesh Singularities in Distributed Memory Ice Sheet Simulations. 1:1-1:10
T1A: Memory Architectures
- Xi Wang, Antonino Tumeo, John D. Leidel, Jie Li
, Yong Chen:
MAC: Memory Access Coalescer for 3D-Stacked Memory. 2:1-2:10 - Jason Hiebel, Laura E. Brown, Zhenlin Wang:
Machine Learning for Fine-Grained Hardware Prefetcher Control. 3:1-3:9 - Albin Eldstål-Damlin, Pedro Trancoso, Ioannis Sourdis:
AVR: Reducing Memory Traffic with Approximate Value Reconstruction. 4:1-4:10 - Hui Sun, Wei Liu, Jianzhong Huang, Song Fu, Zhi Qiao, Weisong Shi:
Near-Data Processing-Enabled and Time-Aware Compaction Optimization for LSM-tree-based Key-Value Stores. 5:1-5:11
T1B: Workflow and Data Analysis Systems
- Amelie Chi Zhou, Yao Xiao, Bingsheng He, Shadi Ibrahim, Reynold Cheng:
Incorporating Probabilistic Optimizations for Resource Provisioning of Data Processing Workflows. 6:1-6:10 - Maria Malik, Hassan Ghasemzadeh, Tinoosh Mohsenin, Rosario Cammarota, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad:
ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications. 7:1-7:11 - Wujie Shao, Fei Xu, Li Chen, Haoyue Zheng, Fangming Liu:
Stage Delay Scheduling: Speeding up DAG-style Data Analytics Jobs with Resource Interleaving. 8:1-8:11 - Frank Schoeneman, Jaroslaw Zola:
Solving All-Pairs Shortest-Paths Problem in Large Graphs Using Apache Spark. 9:1-9:10
T1C: Data Centers
- Xiaofeng Hou, Jiacheng Liu, Chao Li, Minyi Guo:
Unleashing the Scalability Potential of Power-Constrained Data Center in the Microservice Era. 10:1-10:10 - Jiaqi Zheng, Qiming Zheng, Xiaofeng Gao, Guihai Chen:
Dynamic Load Balancing in Hybrid Switching Data Center Networks with Converters. 11:1-11:10 - Mathieu Bacou, Grégoire Todeschi, Alain Tchana, Daniel Hagimont:
Nested Virtualization Without the Nest. 12:1-12:10 - Xiaofeng Hou, Mingyu Liang, Chao Li, Wenli Zheng, Quan Chen, Minyi Guo:
When Power Oversubscription Meets Traffic Flood Attack: Re-Thinking Data Center Peak Load Management. 13:1-13:10
T2A: Memory Optimizations
- Adrian Garcia-Garcia, Juan Carlos Saez, Fernando Castro, Manuel Prieto-Matías:
LFOC: A Lightweight Fairness-Oriented Cache Clustering Policy for Commodity Multicores. 14:1-14:10 - Konstantinos Nikas, Nikela Papadopoulou, Dimitra Giantsidi, Vasileios Karakostas, Georgios I. Goumas, Nectarios Koziris:
DICER: Diligent Cache Partitioning for Efficient Workload Consolidation. 15:1-15:10 - Yaocheng Xiang, Chencheng Ye, Xiaolin Wang, Yingwei Luo, Zhenlin Wang:
EMBA: Efficient Memory Bandwidth Allocation to Improve Performance on Intel Commodity Processor. 16:1-16:12 - Jun Xiao, Andy D. Pimentel, Xu Liu:
CPpf: a prefetch aware LLC partitioning approach. 17:1-17:10
T2B: Parallel Systems Algorithms
- Jinbin Hu, Jiawei Huang, Wenjun Lv, Weihe Li, Jianxin Wang, Tian He:
TLB: Traffic-aware Load Balancing with Adaptive Granularity in Data Center Networks. 18:1-18:10 - Carlos Fernandez Musoles, Daniel Coca, Paul Richmond:
HyperPRAW: Architecture-Aware Hypergraph Restreaming Partition to Improve Performance of Parallel Applications Running on High Performance Computing Systems. 19:1-19:10 - Yidan Wang, Zahir Tari, Xiaoran Huang, Albert Y. Zomaya:
A Network-aware and Partition-based Resource Management Scheme for Data Stream Processing. 20:1-20:10 - Zhengyu Liao, Shiyou Qian, Jian Cao, Yanhua Cao, Guangtao Xue, Jiadi Yu, Yanmin Zhu, Minglu Li:
PhSIH: A Lightweight Parallelization of Event Matching in Content-based Pub/Sub Systems. 21:1-21:10
T2C: NVRAM and SSD
- Mengting Lu, Fang Wang, Dan Feng, Yuchong Hu:
A Read-leveling Data Distribution Scheme for Promoting Read Performance in SSDs with Deduplication. 22:1-22:10 - Gaoxiang Xu, Dan Feng, Zhipeng Tan, Xinyan Zhang, Jie Xu, Xi Shu, Yifeng Zhu:
RFPL: A Recovery Friendly Parity Logging Scheme for Reducing Small Write Penalty of SSD RAID. 23:1-23:10 - Bin Xu, Jianzhong Huang, Qiang Cao, Xiao Qin:
TEA: A Traffic-efficient Erasure-coded Archival Scheme for In-memory Stores. 24:1-24:10 - Jiahao Liu, Fang Wang, Dan Feng:
CostPI: Cost-Effective Performance Isolation for Shared NVMe SSDs. 25:1-25:10
T3A: Parallel Architectures
- Muhammad Waqar Azhar, Miquel Pericàs, Per Stenström:
SaC: Exploiting Execution-Time Slack to Save Energy in Heterogeneous Multicore Systems. 26:1-26:12 - Yunfan Li, Di Zhu, Lizhong Chen:
Express Link Placement for NoC-Based Many-Core Platforms. 27:1-27:10 - Fazeleh Sadat Hoseini, Aras Atalar, Philippas Tsigas:
Modeling the Performance of Atomic Primitives on Modern Architectures. 28:1-28:11 - Michihiro Koibuchi, Ikki Fujiwara, Naoya Niwa, Tomohiro Totoki, Shoichi Hirasawa:
The Case for Water-Immersion Computer Boards. 29:1-29:10
T3B: Scheduling
- Zhuozhao Li, Haiying Shen:
JobPacker: Job Scheduling for Data-Parallel Frameworks with Hybrid Electrical/Optical Datacenter Networks. 30:1-30:10 - Marco D'Amico, Ana Jokanovic, Julita Corbalán:
Holistic Slowdown Driven Scheduling and Resource Management for Malleable Jobs. 31:1-31:10 - Ana Gainaru, Guillaume Pallez, Hongyang Sun, Padma Raghavan:
Speculative Scheduling for Stochastic HPC Applications. 32:1-32:10 - Guoxin Liu, Haiying Shen, Haoyu Wang:
Cooperative Job Scheduling and Data Allocation for Busy Data-Intensive Parallel Computing Clusters. 33:1-33:11
T3C: I/O Systems
- Ping Xie, Zhu Yuan, Jianzhong Huang, Xiao Qin:
N-Code: An Optimal RAID-6 MDS Array Code for Load Balancing and High I/O Performance. 34:1-34:10 - Chunjie Zhu, Fang Wang, Binbing Hou:
BPP: A Realtime Block Access Pattern Mining Scheme for I/O Prediction. 35:1-35:10 - Yuanning Gao, Xiaofeng Gao, Guihai Chen:
DeepHash: An End-to-End Learning Approach for Metadata Management in Distributed File Systems. 36:1-36:10 - Shiyi Cao, Yuanning Gao, Xiaofeng Gao, Guihai Chen:
AdaM: An Adaptive Fine-Grained Scheme for Distributed Metadata Management. 37:1-37:10
T4A: On Node Optimization
- Seonmyeong Bak, Yanfei Guo, Pavan Balaji, Vivek Sarkar:
Optimized Execution of Parallel Loops via User-Defined Scheduling Policies. 38:1-38:10 - Nicolas Denoyelle, Brice Goglin, Emmanuel Jeannot, Thomas Ropars:
Data and Thread Placement in NUMA Architectures: A Statistical Learning Approach. 39:1-39:10 - Emre Ates, Yijia Zhang, Burak Aksar, Jim M. Brandt, Vitus J. Leung, Manuel Egele, Ayse K. Coskun:
HPAS: An HPC Performance Anomaly Suite for Reproducing Performance Variations. 40:1-40:10 - Daniel Zahka, Brian Kocoloski, Kate Keahey:
Reducing Kernel Surface Areas for Isolation and Scalability. 41:1-41:10
T4B: Parallel Algorithms 1
- Yulin Che, Zhuohang Lai, Shixuan Sun, Qiong Luo, Yue Wang:
Accelerating All-Edge Common Neighbor Counting on Three Processors. 42:1-42:10 - Liang Yuan, Shan Huang, Yunquan Zhang, Hang Cao:
Tessellating Star Stencils. 43:1-43:10 - Sivan Toledo, Amit Waisel:
Parallel Algorithms for Evaluating Matrix Polynomials. 44:1-44:10 - Ancy Sarah Tom, George Karypis:
A 2D Parallel Triangle Counting Algorithm for Distributed-Memory Architectures. 45:1-45:10
T4C: Communication Architectures
- Xiaojun Shang, Zhenhua Liu, Yuanyuan Yang:
Network Congestion-aware Online Service Function Chain Placement and Load Balancing. 46:1-46:10 - Rohit Zambre, Megan Grodowitz, Aparna Chandramowlishwaran, Pavel Shamis:
Breaking Band: A Breakdown of High-performance Communication. 47:1-47:10 - Jesper Larsson Träff, Sascha Hunold:
Cartesian Collective Communication. 48:1-48:11 - Javier Navaridas, Joshua Lant, Jose Antonio Pascual, Mikel Luján, John Goodacre:
Design Exploration of Multi-tier Interconnection Networks for Exascale Systems. 49:1-49:10
T5A: System Software for GPUs
- Akbar Majidi, Xiaofeng Gao, Shunjia Zhu, Nazila Jahanbakhsh, Guihai Chen:
Adaptive Routing Reconfigurations to Minimize Flow Cost in SDN-Based Data Center Networks. 50:1-50:10 - David Troendle, Tuan Ta, Byunghyun Jang:
A Specialized Concurrent Queue for Scheduling Irregular Workloads on GPUs. 51:1-51:11 - Kaijie Fan, Biagio Cosenza, Ben H. H. Juurlink:
Predictable GPUs Frequency Scaling for Energy and Performance. 52:1-52:10 - Hyunjun Kim, Sungin Hong, Hyeonsu Lee, Euiseong Seo, Hwansoo Han:
Compiler-Assisted GPU Thread Throttling for Reduced Cache Contention. 53:1-53:10
T5B: Parallel Algorithms 2
- Rui Xia, Haipeng Dai, Jiaqi Zheng, Rong Gu, Xiaoyu Wang, Guihai Chen:
SAFE: Service Availability via Failure Elimination Through VNF Scaling. 54:1-54:10 - Yitong Guan, Chuanyou Li, Xueyan Tang:
On Max-min Fair Resource Allocation for Distributed Job Execution. 55:1-55:10 - Wei Zhou, K. Preston White, Hongfeng Yu:
Improving Short Job Latency Performance in Hybrid Job Schedulers with Dice. 56:1-56:10 - Tingzhe Zhou, Maged M. Michael, Michael F. Spear:
A Practical, Scalable, Relaxed Priority Queue. 57:1-57:10
T5C: Networking
- Ke Wu, Dezun Dong, Cunlu Li, Shan Huang, Yi Dai:
Network Congestion Avoidance through Packet-chaining Reservation. 58:1-58:10 - Rui Li, Yu Pang, Jin Zhao, Xin Wang:
A Tale of Two (Flow) Tables: Demystifying Rule Caching in OpenFlow Switches. 59:1-59:10 - Xuebing Li, Bingyang Liu, Yang Chen, Yu Xiao, Jiaxin Tang, Xin Wang:
Artemis: A Practical Low-latency Naming and Routing System. 60:1-60:10 - Yunren Bai, Zihan Xu, Haixia Wang, Dongsheng Wang:
Fast Recovery Techniques for Erasure-coded Clusters in Non-uniform Traffic Network. 61:1-61:10
T6A: Accelerator Applications
- Yohei Miki:
Gravitational Octree Code Performance Evaluation on Volta GPU. 62:1-62:10 - Robin Kobus, Daniel Jünger, Christian Hundt, Bertil Schmidt:
Gossip: Efficient Communication Primitives for Multi-GPU Systems. 63:1-63:10 - Ali Eker, Barry Williams, Kenneth Chiu, Dmitry Ponomarev:
Controlled Asynchronous GVT: Accelerating Parallel Discrete Event Simulation on Many-Core Clusters. 64:1-64:10 - Chengxin Guo, Hong Chen, Feng Zhang, Cuiping Li:
Distributed Join Algorithms on Multi-CPU Clusters with GPUDirect RDMA. 65:1-65:10
T6B: Fault Tolerance
- Ji Zhang, Ke Zhou, Ping Huang, Xubin He, Zhili Xiao, Bin Cheng, Yongguang Ji, Yinhu Wang:
Transfer Learning based Failure Prediction for Minority Disks in Large Data Centers of Heterogeneous Disk Systems. 66:1-66:10 - Carlos Pachajoa, Markus Levonyak, Wilfried N. Gansterer, Jesper Larsson Träff:
How to Make the Preconditioned Conjugate Gradient Method Resilient Against Multiple Node Failures. 67:1-67:10 - Yingyao Rong, Weigang Wu, Zhiguang Chen:
COMBFT: Conflicting-Order-Match based Byzantine Fault Tolerance Protocol with High Efficiency and Robustness. 68:1-68:10 - Da Yan, James Cheng, Hongzhi Chen, Cheng Long, Purushotham V. Bangalore:
Lightweight Fault Tolerance in Pregel-Like Systems. 69:1-69:10
T6C: Applications 1 - Simulations
- Marquita Ellis, Giulia Guidi, Aydin Buluç, Leonid Oliker, Katherine A. Yelick:
diBELLA: Distributed Long Read to Long Read Alignment. 70:1-70:11 - Zonghao Feng, Shuang Qiu, Lipeng Wang, Qiong Luo:
Accelerating Long Read Alignment on Three Processors. 71:1-71:10 - Kai Xu, Zhenya Song, Yuandong Chan, Shida Wang, Xiangxu Meng, Weiguo Liu, Wei Xue:
Refactoring and Optimizing WRF Model on Sunway TaihuLight. 72:1-72:10 - Mauro Del Ben, Osni Marques, Andrew Canning:
Improved Unconstrained Energy Functional Method for Eigensolvers in Electronic Structure Calculations. 73:1-73:11
T7A: Programming Systems and Runtimes
- Zhuohang Lai, Qiong Luo, Xiaolong Xie:
Efficient Data-Parallel Primitives on Heterogeneous Systems. 74:1-74:10 - D. Brian Larkins, John Snyder, James Dinan:
Accelerated Work Stealing. 75:1-75:10 - Bibek Wagle, Mohammad Alaul Haque Monil, Kevin A. Huck, Allen D. Malony, Adrian Serio, Hartmut Kaiser:
Runtime Adaptive Task Inlining on Asynchronous Multitasking Runtime Systems. 76:1-76:10 - Masahiro Yasugi, Daisuke Muraoka, Tasuku Hiraishi, Seiji Umatani, Kento Emoto:
HOPE: A Parallel Execution Model Based on Hierarchical Omission. 77:1-77:11
T7B: Performance Modeling
- Xingfu Wu, Valerie E. Taylor, Justin M. Wozniak, Rick Stevens, Thomas S. Brettin, Fangfang Xia:
Performance, Energy, and Scalability Analysis and Improvement of Parallel Cancer Deep Learning CANDLE Benchmarks. 78:1-78:11 - Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert Latham, Glenn K. Lockwood, Robert B. Ross, Shane Snyder, Stefan M. Wild:
Adaptive Learning for Concept Drift in Application Performance Modeling. 79:1-79:11 - Fahim Chowdhury, Yue Zhu, Todd Heer, Saul Paredes, Adam Moody, Robin Goldstone, Kathryn M. Mohror, Weikuan Yu:
I/O Characterization and Performance Evaluation of BeeGFS for Deep Learning. 80:1-80:10 - Suraj Kumar, Lionel Eyraud-Dubois, Sriram Krishnamoorthy:
Performance Models for Data Transfers: A Case Study with Molecular Chemistry Kernels. 81:1-81:10
T7C: Simulation Techniques
- Haozhao Wang, Song Guo, Ruixuan Li:
OSP: Overlapping Computation and Communication in Parameter Server for Fast Machine Learning. 82:1-82:10 - Jan Hückelheim, Navjot Kukreja, Sri Hari Krishna Narayanan, Fabio Luporini, Gerard Gorman, Paul D. Hovland:
Automatic Differentiation for Adjoint Stencil Loops. 83:1-83:10 - Sidharth Kumar, Steve Petruzza, Will Usher, Valerio Pascucci:
Spatially-aware Parallel I/O for Particle Data. 84:1-84:10 - Yi Liu, Xiaowei Guo, Chao Li, Canqun Yang, Xinbiao Gan, Peng Zhang, Yi Wang, Ran Zhao, Sijiang Fan:
The Communication-Overlapped Hybrid Decomposition Parallel Algorithm for Multi-Scale Fluid Simulations. 85:1-85:12
T8A: Deep Learning
- Haoyue Zheng, Fei Xu, Li Chen, Zhi Zhou, Fangming Liu:
Cynthia: Cost-Efficient Cloud Resource Provisioning for Predictable Distributed Deep Neural Network Training. 86:1-86:11 - Wenjia Zheng, Michael Tynes, Henry Gorelick, Ying Mao, Long Cheng, Yantian Hou:
FlowCon: Elastic Flow Configuration for Containerized Deep Learning Applications. 87:1-87:10 - Yang Cheng, Dan Li, Zhiyuan Guo, Binyao Jiang, Jiaxin Lin, Xi Fan, Jinkun Geng, Xinyi Yu, Wei Bai, Lei Qu, Ran Shu, Peng Cheng, Yongqiang Xiong, Jianping Wu:
DLBooster: Boosting End-to-End Deep Learning Workflows with Offloading Data Preprocessing Pipelines. 88:1-88:11 - Wei Gao, Jiarui Fang, Wenlai Zhao, Jinzhe Yang, Long Wang, Lin Gan, Haohuan Fu, Guangwen Yang:
swATOP: Automatically Optimizing Deep Learning Operators on SW26010 Many-Core Processor. 89:1-89:10
T8B: Tools and Their Use
- Allen D. Malony, Srinivasan Ramesh, Kevin A. Huck, Nicholas Chaimov, Sameer Shende:
A Plugin Architecture for the TAU Performance System. 90:1-90:11 - Tao Wang, Nikhil Jain, David Beckingsale, David Böhme, Frank Mueller, Todd Gamblin:
FuncyTuner: Auto-tuning Scientific Applications With Per-loop Compilation. 91:1-91:10 - Jakub Kurzak, Yaohung M. Tsai, Mark Gates, Ahmad Abdelfattah, Jack J. Dongarra:
Massively Parallel Automated Software Tuning. 92:1-92:10 - Chih-Min Lin, Sheng-Yu Fu, Ding-Yong Hong, Yu-Ping Liu, Jan-Jan Wu, Wei-Chung Hsu:
Exploiting Vector Processing in Dynamic Binary Translation. 93:1-93:10
T8C: Applications 2 - Emerging Applications
- Jingya Zhou, Jianxi Fan, Jin Wang:
Cosin: Controllable Social Influence Maximization and Its Distributed Implementation in Large-scale Social Networks. 94:1-94:10 - Huayi Jin, Chentao Wu, Xin Xie, Jie Li, Minyi Guo, Hao Lin, Jianfeng Zhang:
Approximate Code: A Cost-Effective Erasure Coding Framework for Tiered Video Storage in Cloud Systems. 95:1-95:10 - Chen Zhang, Qiang Cao, Jie Yao, Yuanyuan Dong, Puyuan Yang:
VScan: Efficiently Analyzing Surveillance Videos via Model-joint Mechanism. 96:1-96:10 - Xin Chen, Dmytro Konobrytskyi, Thomas M. Tucker, Thomas R. Kurfess, Richard W. Vuduc:
Faster parallel collision detection at high resolution for CNC milling applications. 97:1-97:10
T9A: Neural Networks
- Deguang Wang, Junzhong Shen, Mei Wen, Chunyuan Zhang:
An Efficient Design Flow for Accelerating Complicated-connected CNNs on a Multi-FPGA Platform. 98:1-98:10 - Leyuan Wang, Zhi Chen, Yizhi Liu, Yao Wang, Lianmin Zheng, Mu Li, Yida Wang:
A Unified Optimization Approach for CNN Model Inference on Integrated GPUs. 99:1-99:10 - André Weißenberger, Bertil Schmidt:
Massively Parallel ANS Decoding on GPUs. 100:1-100:10
T9B: Parallel Data Structures
- Mengxing Liu, Jiankai Xing, Kang Chen, Yongwei Wu:
Building Scalable NVM-based B+tree with HTM. 101:1-101:10 - Benjamin Brock, Aydin Buluç, Katherine A. Yelick:
BCL: A Cross-Platform Distributed Data Structures Library. 102:1-102:10 - Caixin Gong, Shuibing He, Yili Gong, Yingchun Lei:
On Integration of Appends and Merges in Log-Structured Merge Trees. 103:1-103:10
T9C: IoT and Edge Computing
- Zichuan Xu, Yutong Zhang, Weifa Liang, Qiufen Xia, Omer F. Rana, Alex Galis, Guowei Wu, Pan Zhou:
NFV-Enabled Multicasting in Mobile Edge Clouds with Resource Sharing. 104:1-104:10 - Ke Li, Haowei Huang, Xiaofeng Gao, Fan Wu, Guihai Chen:
QLEC: A Machine-Learning-Based Energy-Efficient Clustering Algorithm to Prolong Network Lifespan for IoT in High-Dimensional Space. 105:1-105:10 - Alexandre Da Silva Veith, Felipe Rodrigo de Souza, Marcos Dias de Assunção, Laurent Lefèvre, Julio Cesar Santos dos Anjos:
Multi-Objective Reinforcement Learning for Reconfiguring Data Stream Analytics on Edge Computing. 106:1-106:10
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