ICPP 2021 Program
All times are in CDT (Chicago time).

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Overview | By Date | By Event Type | By Room | Author Index



Room A
Monday 8:00am-9:45am
Room A
DUAC Workshop
1A: International Workshop on Deployment and Use of Accelerators (DUAC) - Presentations
Chair: Carlos Reaño (Queen's University Belfast)
8am: Welcome Remarks
8:15am: Warp-centric K-Nearest Neighbor Graphs construction on GPU
Bruno Meyer, Aurora Pozo, and Wagner M. Nunan Zola (Federal University of Paraná)
Abstract
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8:30am: Explaining the Classification Performance of Supervised and Semi-Supervised Methods for Automated Sparse Matrix Format Selection
Sunidhi Dhandhania (Indian Institute of Technology Kanpur); Akshay Deodhar (College of Engineering, Pune); Konstantin Pogorelov (Simula Research Laboratory); Swarnendu Biswas (Indian Institute of Technology Kanpur); and Johannes Langguth (Simula Research Laboratory)
Abstract
pdf, mp4
8:45am: An Intelligent Parallel Distributed Streaming Framework for Near Real-time Science Sensors and High Resolution Medical Images
Samit Shivadekar and Jayalakshmi Mangalagiri (UMBC); Phuong Nguyen (UMBC, OpenKneck Inc); and David Chapman, Milton Halem, and Rahul Gite (UMBC)
Abstract
pdf, mp4
9am: Tangled: A Conventional Processor Integrating A Quantum-Inspired Coprocessor
Henry Dietz (University of Kentucky)
Abstract
pdf, mp4
9:15am: Enabling Real-Time Irregular Data-Flow Pipelines on SIMD Devices
Tom Plano and Jeremy Buhler (Washington University)
Abstract
pdf, mp4
9:30am: TurboBC: A Memory Efficient and Scalable GPU Based Betweenness Centrality(BC) Algorithm in the Language of Linear Algebra
Oswaldo Artiles and Fahad Saeed (Florida International University)
Abstract
pdf, mp4
Monday 10:15am-11:30am
Room A
AWASN Workshop
2A: International Workshop on Applications of Wireless Ad hoc and Sensor Networks (AWASN) - Presentations
Chair: Kazuya Sakai (Tokyo Metropolitan University)
10:15am: Welcome Remarks
10:30am: Self-Stabilization with Selfish Agents
Amir Reza Ramtin and Don Towsley (University of Massachusetts Amherst)
Abstract
pdf, mp4
10:45am: Automated Arrhythmia Detection using Hilbert-Huang Transform based Convolutional Neural Network
Tzu-Chia Lin and Jie Zhang (National Central University) and Min-Te Sun (National Central University)
Abstract
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11am: New Evacuation Guidance Using Augmented Reality for Emergency Rescue Evacuation Support System (ERESS)
Tomotaka Wada, Takuya Ikeda, and Yuta Kanayama (Kansai University) and Kazuhiro Ohtsuki (Kobe University)
Abstract
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11:15am: Analysis on Nursing Care Activity Related Stress Level for Reduction of Caregiving Workload
Atsushi Miyaji, Tomokazu Matsui, Zhihua Zhang, Hyuckjin Choi, Manato Fujimoto, and Keiichi Yasumoto (Nara Institute of Science and Technology)
Abstract
pdf, mp4
Monday 12:00pm-1:00pm
Room A
Poster
Poster
Chair: Anthony Kougkas (Illinois Institute of Technology); Anne Benoit (ENS Lyon)
12pm: Boosting Compaction Performance of LSM-tree-based KV Stores in Multi-Near-Data Processing Systems
Hui Sun (Anhui Universtiy), Qiang Wang (Anhui University), Yuhong Zhao and Yinliang Yue (Institute of Information Engineering,Chinese Academy of Sciences), and Song Fu (University of North Texas)
Abstract
pdf, pdf
12:12pm: A Virtualization Platform Designed for Irregular Multi-Process Applications
Guangli Dai, Pavan Kumar Paluri, Albert Mo Kim Cheng, and Panruo Wu (University of Houston)
Abstract
pdf, pdf
12:24pm: A Log-Free and Consistent Chained Hashing for Non-volatile Memory
Renzhi Xiao, Dan Feng, and Yuchong Hu (Huazhong University of Science and Technology)
Abstract
pdf, pdf
12:36pm: Postmortem Graph Analysis on the Temporal Graph
Md Maruf Hossain and Erik Saule (University of North Carolina at Charlotte)
Abstract
pdf, pdf
12:48pm: XHYPRE: A high-precision numerical software package for solving large-scale sparse linear equations
Chuanying Li (Hunan University), Graillat Stef (Sorbonne Université), Hao Jiang (National University of Defense Technology), and Zhe Quan (Hunan University)
Abstract
pdf, pdf
Tuesday 9:15am-10:15am
Room A
Conference Paper
1A: Memory Systems and NVM
Chair: Xi Wang (RIOS Laboratory)
9:15am: Matryoshka: A Coalesced Delta Sequence Prefetcher
Shizhi Jiang (University of Chinese Academy of Sciences; Institute of Software, Chinese Academy of Sciences) and Yiwei Ci, Qiusong Yang, and Mingshu Li (Institute of Software, Chinese Academy of Sciences)
Abstract
pdf, mp4
9:30am: Fast and Consistent Remote Direct Access to Non-volatile Memory
Jingwen Du, Fang Wang, Dan Feng, Weiguang Li, and Fan Li (Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology)
Abstract
pdf, mp4
9:45am: Crash-Consistency-Aware Encryption for Non-Volatile Memories
Mengya Lei, Fang Wang, Dan Feng, Fan Li, and Xueliang Wei (huazhong university of science and technology)
Abstract
pdf, mp4
10am: Wave-PIM: Accelerating Wave Simulation Using Processing-in-Memory
Bagus Hanindhito, Ruihao Li, and Dimitrios Gourounas (The University of Texas at Austin); Arash Fathi, Karan Govil, and Dimitar Trenev (ExxonMobil); and Andreas Gerstlauer and Lizy John (The University of Texas at Austin)
Abstract
pdf, mp4
Tuesday 10:30am-11:30am
Room A
Conference Paper
2A: Storage Systems and Parallel I/O
Chair: Suren Byna (Lawrence Berkeley National Laboratory)
10:30am: A Graph-Assisted Out-of-Place Update Scheme for Erasure Coded Storage Systems
Haiwei Deng and Ranhao Jia (Department of Computer Science and Engineering, Shanghai Jiao Tong University) and Chentao Wu (Department of Computer Science and Engineering, Shanghai Jiao Tong University; Sichuan Research Institute, Shanghai Jiao Tong University)
Abstract
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10:45am: Multi-level Forwarding and Scheduling Recovery Technique in Heterogeneous Network for Erasure-coded Clusters
Hai Zhou and Dan Feng (Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics) and Yuchong Hu (Huazhong University of Science and Technology, School of Computer Science and Technology)
Abstract
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11am: ASLDP: An Active Semi-supervised Learning method for Disk Failure Prediction
Yang Zhou, Fang Wang, and Dan Feng (Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics)
Abstract
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11:15am: Coupling Right-Provisioned Cold Storage Data Centers with Deduplication
Liangfeng Cheng, Yuchong Hu, and Zhaokang Ke (Huazhong University of Science and Technology) and Zhongjie Wu (Alibaba)
Abstract
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Tuesday 11:45am-12:45pm
Room A
Conference Paper
3A: Performance Modeling and Evaluation
Chair: Doru Thom Popovici (Lawrence Berkeley National Laboratory)
11:45am: Efficient Modeling of Random Sampling-Based LRU
Junyao Yang, Yuchen Wang, and Zhenlin Wang (Michigan Technological University)
Abstract
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12pm: An Evaluation of Task-Parallel Frameworks for Sparse Solvers on Multicore and Manycore CPU Architectures
Abdullah Alperen, Md Afibuzzaman, and Fazlay Rabbi (Michigan State University); M. Yusuf Ozkaya and Umit Catalyurek (Georgia Institute of Technology); and Hasan Metin Aktulga (Michigan State University)
Abstract
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12:15pm: gem5+RTL: A Framework to Enable RTL Models Inside a Full-System Simulator
Guillem López-Paradís, Adrià Armejach, and Miquel Moretó (Barcelona Supercomputing Center, Universitat Politècnica de Catalunya)
Abstract
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12:30pm: Interferences between Communications and Computations in Distributed HPC Systems
Alexandre Denis, Emmanuel Jeannot, and Philippe Swartvagher (INRIA)
Abstract
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Wednesday 9:15am-10:15am
Room A
Panel
Panel: Celebrating 50 Years of ICPP
Chair: Rudolf Eigenmann (University of Delaware)
Panelists: Keshav Pingali (University of Texas at Austin; Moderator), Susanne Hambrusch (Purdue University), David Padua (University of Illinois at Urbana-Champaign), HJ Siegel (Colorado State University), Guang Gao (University of Delaware), Lionel Ni (Hong Kong University of Science and Technology), and Ahmed Sameh (Purdue University).
mp4
Wednesday 10:30am-11:30am
Room A
Conference Paper
4A: Graph Computing
Chair: Erika Parsons (University of Washington, Bothell)
10:30am: Ascetic: Enhancing Cross-Iterations Data Efficiency in Out-of-Memory Graph Processing on GPUs
Ruiqi Tang, Ziyi Zhao, and Kailun Wang (Nankai University); Xiaoli Gong (NNankai University); Jin Zhang (Nankai University); Wenwen Wang (University of Georgia); and Pen-Chung Yew (University of Minnesota at Twin Cities)
Abstract
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10:45am: Communication Avoiding All-Pairs Shortest Paths Algorithm for Sparse graphs
Lin Zhu, Qiang-Sheng Hua, and Hai Jin (Huazhong University of Science and Technology)
Abstract
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11am: An Edge-Fencing Strategy for Optimizing SSSP Computations on Large-Scale Graphs
Huashan Yu (Department of Computer Science and Technology, Peking University) and Xiaolin Wang and Yingwei Luo (Department of Computer Science and Technology, Peking University; Peng Cheng Lab, Shenzhen)
Abstract
pdf, mp4
11:15am: Exploiting in-Hub Temporal Locality in SpMV-based Graph Processing
Mohsen Koohi Esfahani, Peter Kilpatrick, and Hans Vandierendonck (Queen's University Belfast)
Abstract
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Wednesday 11:45am-12:45pm
Room A
Conference Paper
5A: Linear Algebra Algorithms
Chair: Matthew Knepley (University at Buffalo, Rice University)
11:45am: Processor-Aware Cache-Oblivious Algorithms
Yuan Tang and Weiguo Gao (Fudan University)
Abstract
pdf, mp4
12pm: Tridiagonal GPU Solver with Scaled Partial Pivoting at Maximum Bandwidth
Christoph Klein and Robert Strzodka (University of Heidelberg, ZITI)
Abstract
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12:15pm: Efficiently Parallelizable Strassen-Based Multiplication of a Matrix by its Transpose
Viviana Arrigoni, Filippo Maggioli, Annalisa Massini, and Emanuele Rodolà (Sapienza, University of Rome)
Abstract
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12:30pm: Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures
CHENHAO XIE (Pacific Northwest National Laboratory); Jieyang Chen (Oak Ridge National Laboratory); Jesun Firoz (Pacific Northwest National Laboratory); Jiajia Li (Pacific Northwest National Laboratory, William&Mary); Shuaiwen Leon Song (University of Sydney); and Kevin Barker, Mark Raugas, and Ang Li (Pacific Northwest National Laboratory)
Abstract
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Thursday 9:15am-10:15am
Room A
Conference Paper
6A: Networking and Routing
Chair: Kevin A. Brown (Argonne National Laboratory (ANL))
9:15am: Receiver-Driven Congestion Control for InfiniBand
Yiran Zhang (Tsinghua university, Beijing National Research Center for Information Science and Technology (BNRist)); Kun Qian (Alibaba); and Fengyuan Ren (Tsinghua university, Beijing National Research Center for Information Science and Technology (BNRist))
Abstract
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9:30am: Optimizing Flow Completion Time via Adaptive Buffer Management in Data Center Networks
Sen Liu and Xiang Lin (Fudan University), Zehua Guo (Beijing Institute of Technology), Yi Wang (Peng Cheng Laboratory), Mohamed Adel Serhani (United Arab Emirates University), and Yang Xu (Fudan University)
Abstract
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9:45am: sRouting: Towards a Better Flow Size Estimation Performance through Routing and Sketch Configuration
Yang Shi and Mei Wen (National University of Defense Technology)
Abstract
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10am: Distributed Game-Theoretical Route Navigation for Vehicular Crowdsensing
En Wang, Dongming Luan, and Yongjian Yang (Jilin University); Zihe Wang (Renmin University of China); Pengmin Dong (Jilin University); Dawei Li (Montclair State University); Wenbin Liu (Jilin University); and Jie Wu (Temple University)
Abstract
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Thursday 10:30am-11:30am
Room A
Conference Paper
7A: Performance Optimization
Chair: Michael Gerndt (Technical University Munich)
10:30am: Accurate Matrix Multiplication on Binary128 Format Accelerated by Ozaki Scheme
Daichi Mukunoki (RIKEN Center for Computational Science), Katsuhisa Ozaki (Shibaura Institute of Technology), Takeshi Ogita (Tokyo Woman's Christian University), and Toshiyuki Imamura (RIKEN Center for Computational Science)
Abstract
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10:45am: Regu2D: Accelerating Vectorization of SpMV on Intel Processors through 2D-partitioning and Regular Arrangement
Xiang Fei and Youhui Zhang (Tsinghua University)
Abstract
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11am: CD-SGD: Distributed Stochastic Gradient Descent with Compression and Delay Compensation
Enda Yu and Dezun Dong (National University of Defense Technology); Yemao Xu (National University of Defense Technology, Information and Communication Engineering Design Institute); and Shuo Ouyang and Xiangke Liao (National University of Defense Technology)
Abstract
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11:15am: Recursion Brings Speedup to Out-of-Core TensorCore-based Linear Algebra Algorithms: A Case Study of Classic Gram-Schmidt QR Factorization
Shaoshuai Zhang and Panruo Wu (University of Houston)
Abstract
pdf, mp4

Room B
Monday 8:00am-10:15am
Room B
EMS Workshop
1B: International Workshop on Embedded Multicore Systems (ICPP-EMS) - Presentations
Chair: YungChia Lin (MediaTek)
8am: Welcome Remarks
8:15am: ArchViMP – a Framework for Automatic Extraction of Concurrency-related Software Architectural Properties
Monireh Pourjafarian (Technical University of Kaiserslautern) and Jasmin Jahic (University of Cambridge)
Abstract
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8:30am: Dual-KV: Improving Performance of Key-value Caches on Multilevel Cell Non-volatile Memory
Zong-Ming Ke, Yun-Ze Li, and Da-Wei Chang (National Cheng Kung University)
Abstract
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8:45am: Ghostwriter: A Cache Coherence Protocol for Error-Tolerant Applications
Henry Kao (University of Toronto), Joshua San Miguel (University of Wisconsin-Madison), and Natalie Enright Jerger (University of Toronto)
Abstract
pdf, mp4
9am: Hyperchaining Optimizations for an LLVM-Based Binary Translator on x86-64 and RISC-V Platforms
Jyun-Kai Lai and Wuu Yang (National Yang Ming Chiao Tung University)
Abstract
pdf, mp4
9:15am: Intra- and Inter- Layer Transformation to Reduce Memory Traffic for CNN Computation
Pin-Wei Liao, Wei-Chung Hsu, and Shih-Wei Liao (National Taiwan University)
Abstract
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9:30am: Accelerate Binarized Neural Networks with Processing-in-Memory Enabled by RISC-V Custom Instructions
Che-Chia Lin, Chao-Lin Lee, and Jenq-Kuen Lee (National Tsing Hua University) and Howard Wang and Ming-Yu Hung (MediaTek Inc.)
Abstract
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9:45am: Accelerating Neural Network Training using Arbitrary Precision Approximating Matrix Multiplication Algorithms
Grey Ballard, Jack Weissenberger, and Luoping Zhang (Wake Forest University)
Abstract
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10am: Support Convolution of CNN with Compression Sparse Matrix Multiplication Flow in TVM
Hui-Hsin Liao, Chao-Lin Lee, and Jenq-Kuen Lee (National Tsing Hua University) and Wei-Chih Lai, Ming-Yu Hung, and Chung-Wen Huang (MediaTek Inc)
Abstract
pdf, mp4
Monday 10:15am-12:00pm
Room B
LLPP Workshop
2B: Workshop on LLVM in Parallel Processing (LLPP) - Presentations
Chair: Johannes Doerfert (Argonne National Laboratory (ANL))
10:15am: mp4
Welcome Remarks
10:30am: Shared Memory Remote Procedure Calls
Jon Chesterfield (AMD)
Abstract
10:45am: Advancing OpenMP Offload Debugging Capabilities in LLVM
Johannes Doerfert (Argonne National Laboratory), Joseph Huber (Oak Ridge National Laboratory), and Melanie Cornelius (Illinois Institute of Technology)
Abstract
11am: Loop Transformations using Clang's Abstract Syntax Tree
Michael Kruse (Argonne National Laboratory)
Abstract
11:15am: Adapting SYCL’s SIMT Programming Paradigm for Accelerators via Program Reconstruction
Jiashu Wang, Xun Deng, Kai-Ting Amy Wang, and ZiChun Ye (Huawei Technologies Canada Co., Ltd.)
Abstract
11:30am: Towards Compile-Time-Reducing Compiler Optimization Selection via Machine Learning
Tarindu Jayatilaka (University of Moratuwa), Hideto Ueno (University of Tokyo), Giorgis Georgakoudis (Lawrence Livermore National Laboratory), EunJung Park (Los Alamos National Laboratory), and Johannes Doerfert (Argonne National Laboratory)
Abstract
11:45am: A Virtual GPU as Developer-Friendly OpenMP Offload Target
Atmn Patel (University of Waterloo), Shilei Tian (Stony Brook University), Johannes Doerfert (Argonne National Laboratory), and Barbara Chapman (Stony Brook University)
Abstract
Tuesday 9:15am-10:15am
Room B
Conference Paper
1B: GPU Computing and Task-based Programming Models
Chair: Tobias Weinzierl (Durham University)
9:15am: Efficient GPU-Implementation for Integer Sorting Based on Histogram and Prefix-Sums
Seiya Kozakai (Hosei University), Noriyuki Fujimoto (Osaka Prefecture University), and Koichi Wada (Hosei University)
Abstract
pdf, mp4
9:30am: Combining Dynamic Concurrency Throttling with Voltage and Frequency Scaling on Task-based Programming Models
Antoni Navarro Muñoz (Barcelona Supercomputing Center (BSC-CNS), Universitat Politècnica de Catalunya); Arthur F. Lorenzon (Federal University of Pampa); Eduard Ayguadé Parra (Universitat Politècnica de Catalunya, Barcelona Supercomputing Center (BSC-CNS)); and Vicenç Beltran Querol (Barcelona Supercomputing Center Barcelona Supercomputing Center (BSC-CNS))
Abstract
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9:45am: CuART - a CUDA-based, scalable Radix-Tree lookup and update engine
Martin Koppehel (Otto-von-Guericke Universität Magdeburg), Tobias Groth and Sven Groppe (Universität zu Lübeck), and Thilo Pionteck (Otto-von-Guericke Universität Magdeburg)
Abstract
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10am: BGPQ: A Heap-Based Priority Queue Design for GPUs
Yanhao Chen (Rutgers University) and Fei Hua, Yuwei Jin, and Eddy Z. Zhang (Rutgers Unversity)
Abstract
pdf, mp4
Tuesday 10:30am-11:30am
Room B
Conference Paper
2B: Scheduling Algorithms and Optimizations
Chair: Antonino Tumeo (Pacific Northwest National Laboratory (PNNL))
10:30am: Multi-Resource List Scheduling of Moldable Parallel Jobs under Precedence Constraints
Lucas Perotin (ENS Lyon) and Hongyang Sun and Padma Raghavan (Vanderbilt University)
Abstract
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10:45am: HiPa: Hierarchical Partitioning for Fast PageRank on NUMA Multicore Systems
YuAng Chen and Yeh-ching Chung (Chinese University of Hong Kong, Shenzhen)
Abstract
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11am: GVT-Guided Demand-Driven Scheduling in Parallel Discrete Event Simulation
Ali Eker, David Timmerman, Barry Williams, Kenneth Chiu, and Dmitry Ponomarev (State University of New York at Binghamton)
Abstract
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11:15am: Joint Optimization of DNN Partition and Scheduling for Mobile Cloud Computing
Yubin Duan and Jie Wu (Temple University)
Abstract
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Tuesday 11:45am-12:45pm
Room B
Conference Paper
3B: Parallelization and Code Generation
Chair: Barbara Chapman (Stony Brook University)
11:45am: Automatic Code Generation and Optimization of Large-scale Stencil Computation on Many-core Processors
Mingzhen Li, Yi Liu, Hailong Yang, Yongmin Hu, Qingxiao Sun, Bangduo Chen, Xin You, Xiaoyan Liu, Zhongzhi Luan, and Depei Qian (Beihang University)
Abstract
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12pm: Tool-Supported Mini-App Extraction to Facilitate Program Analysis and Parallelization
Jan-Patrick Lehr, Christian Bischof, Florian Dewald, Heiko Mantel, Mohammad Norouzi, and Felix Wolf (Technical University of Darmstadt)
Abstract
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12:15pm: Automatic Generation of High-Performance Inference Kernels for Graph Neural Networks on Multi-Core Systems
Qiang Fu and H. Howie Huang (George Washington University)
Abstract
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12:30pm: Optimizing Work Stealing Communication with Structured Atomic Operations
Hannah Cartier (Rhodes College), James Dinan (NVIDIA), and D. Brian Larkins (Rhodes College)
Abstract
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Wednesday 10:30am-11:30am
Room B
Conference Paper
4B: Storage Software and Optimizations
Chair: Anthony Kougkas (Illinois Institute of Technology)
10:30am: Fast Reconstruction for Large Disk Enclosures Based on RAID2.0
Qiliang Li, Min Lyu, Liangliang Xu, Yinlong Xu, and Wei Wang (University of Science and Technology of China)
Abstract
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10:45am: Parallel Multi-split Extendible Hashing for Persistent Memory
Jing Hu and Jianxi Chen (Wuhan National Laboratory for Optoelectronics,Huazhong University of Science and Technology); Yifeng Zhu (University of Maine); and Qing Yang, Zhouxuan Peng, and Ya Yu (Wuhan National Laboratory for Optoelectronics,Huazhong University of Science and Technology)
Abstract
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11am: Intra-page Cache Update in SLC-mode with Partial Programming in High Density SSDs
Jun Li, Minjun Li, and Zhigang Cai (Southwest University); Francois Trahay (Telecom SudParis); Mohamed Wahib (National Institute of Advanced Industrial Science and Technology, RIKEN Center for Computational Science); Balazs Gerofi (RIKEN Center for Computational Science); and Zhiming Liu, Min Huang, and Jianwei Liao (Southwest University)
Abstract
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11:15am: HDNH: a read-efficient and write-optimized hashing scheme for hybrid DRAM-NVM memory
Junhao Zhu (National University of Defense Technology); Kaixin Huang (ByteDance Inc., Shanghai Jiao Tong University); Xiaomin Zou (Huazhong University of Science and Technology); and Chenglong Huang, Nuo Xu, and Liang Fang (National University of Defense Technology)
Abstract
pdf, mp4
Wednesday 11:45am-12:45pm
Room B
Conference Paper
5B: Data Analytics Systems and Runtime
Chair: Rong Ge (Clemson University)
11:45am: Using Vectorized Execution to Improve SQL Query Performance on Spark
Yijie Shen, Jin Xiong, and Dejun Jiang (Institute of Computing Technology, CAS; University of Chinese Academy of Sciences)
Abstract
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12pm: Sparker: Efficient Reduction for More Scalable Machine Learning with Spark
Bowen Yu and Huanqi Cao (Tsinghua University), Tianyi Shan (University of California San Diego), Haojie Wang (Tsinghua University), Xiongchao Tang (Sangfor Technologies Inc. and Tsinghua Shenzhen International Graduate School), and Wenguang Chen (Tsinghua University)
Abstract
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12:15pm: NoStop: A Novel Configuration Optimization Scheme for Spark Streaming
Qianwen Ye, Wuji Liu, and Chase Q. Wu (New Jersey Institute of Technology)
Abstract
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12:30pm: ROBOTune: High-Dimensional Configuration Tuning for Cluster-Based Data Analytics
Md Muhib Khan and Weikuan Yu (Florida State University)
Abstract
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Thursday 9:15am-10:15am
Room B
Conference Paper
6B: Machine Learning and Acceleration
Chair: Riyadh Baghdadi (New York University Abu Dhabi, Massachusetts Institute of Technology (MIT))
9:15am: Prophet: Speeding up Distributed DNN Training with Predictable Communication Scheduling
Zhenwei Zhang, Qiang Qi, and Ruitao Shang (East China Normal University); Li Chen (University of Louisiana at Lafayette); and Fei Xu (East China Normal University)
Abstract
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9:30am: Accelerated Device Placement Optimization with Contrastive Learning
Hao Lan (University of Toronto), Li Chen (University of Louisiana at Lafayette), and Baochun Li (University of Toronto)
Abstract
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9:45am: Optimizing Massively Parallel Winograd Convolution on ARM Processor
Dongsheng Li, Dan Huang, Zhiguang Chen, and Yutong Lu (Sun Yat-sen University)
Abstract
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10am: Hippie: A Data-Paralleled Pipeline Approach to Improve Memory-Efficiency and Scalability for Large DNN Training
Xiangyu Ye, Zhiquan Lai, Shengwei Li, Lei Cai, Ding Sun, Linbo Qiao, and Dongsheng Li (National University of Defense Technology)
Abstract
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Thursday 10:30am-11:30am
Room B
Conference Paper
7B: Machine Learning Algorithms
Chair: Leonid Oliker (Lawrence Berkeley National Laboratory)
10:30am: Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection
Shulai Zhang, Zirui Li, Quan Chen, Wenli Zheng, Jingwen Leng, and Minyi Guo (Shanghai Jiao Tong University)
Abstract
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10:45am: Optimizing Winograd-Based Convolution with Tensor Cores
Junhong Liu, Dongxu Yang, and Junjie Lai (NVIDIA)
Abstract
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11am: LoWino: Towards Efficient Low-Precision Winograd Convolutions on Modern CPUs
Guangli Li (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences); Zhen Jia (Amazon); Xiaobing Feng (Institute of Computing Technology, Chinese Academy of Sciences); and Yida Wang (Amazon)
Abstract
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11:15am: FIFL: A Fairness Incentive Framework for Federated Learning
Liang Gao (National University of Defense Technology); Li Li (ShenZhen Institutes of Advanced Technology, Chinese Academy of Sciences); Yingwen Chen (National University of Defense Technology); Wenli Zheng (Emerging Parallel Computing Center, Shanghai Jiao Tong University); ChengZhong Xu (University of Macau); and Ming Xu (National University of Defense Technology)
Abstract
pdf, mp4

Room C
Monday 8:00am-10:15am
Room C
P2S2 Workshop
1C: International Workshop on Parallel Programming Models and Systems Software for High-End Computing (P2S2) - Presentations
Chair: John Leidel (Tactical Computing Laboratories LLC, Texas Tech University)
8am: Welcome Remarks
8:15am: DYFLOW: A flexible framework for orchestrating scientific workflows on supercomputers
Swati Singhal and Alan Sussman (University of Maryland, College Park) and Matthew Wolf, Kshitij Mehta, and Jong Choi (Oak Ridge National Lab)
Abstract
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8:30am: Transparent Resource Elasticity for Task-Based Cluster Environments with Work Stealing
Jonas Posner and Claudia Fohry (University of Kassel)
Abstract
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8:45am: Impact of AVX-512 Instructions on Graph Partitioning Problems.
Md Maruf Hossain and Erik Saule (University of North Carolina at Charlotte)
Abstract
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9am: Evaluating the Performance of Integer Sum Reduction in SYCL
Zheming Jin and Jeff Vetter (ORNL)
Abstract
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9:15am: Design of a Portable Implementation of Partitioned Point-to-Point Communication Primitives
Andrew Worley (Tennessee Technological University); Prema Prema Soundararajan (University of Alabama at Birmingham); Derek Schafer (University of Tennessee at Chattanooga); Purushotham Bangalore (University of Alabama at Birmingham); Ryan Grant and Matthew Dosanjh (Sandia National Laboratories); Anthony Skjellum (University of Tennessee, Chattanooga; SimCenter); and Sheikh Ghafoor (Tennessee Technological University)
Abstract
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9:30am: Assessing Resource Provisioning and Allocation of Ensembles of In Situ Workflows
Tu Mai Anh Do, Loïc Pottier, and Rafael Ferreira da Silva (University of Southern California, Information Sciences Institute); Silvina Caíno-Lores and Michela Taufer (University of Tennessee at Knoxville); and Ewa Deelman (University of Southern California, Information Sciences Institute)
Abstract
pdf, mp4
9:45am: FMSM: A Fuzzy Multi-keyword Search Scheme for Encrypted Cloud Data based on Multi-chain Network
Heng He (School of Computer Science and Technology, Wuhan University of Science and Technology; Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System); chengyu Liu (Wuhan University of Science and Technology, School of Computer Science and Technology); Xiaohu Zhou (School of Computing, Engineering, and Built Environment,Birmingham City University); and Ke Feng (School of Computer Science and Technology, Wuhan University of Science and Technology; Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System)
Abstract
pdf, mp4
10am: Implementing Arbitrary/Common Concurrent Writes of CRCW PRAM
Fady Ghanim (Oak Ridge National Labs), Wael Elwasif (Oak ridge National Labs), and David Bernholdt (Oak Ridge National Labs)
Abstract
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Monday 10:15am-12:00pm
Room C
PDADS Workshop
2C: International Workshop on Parallel and Distributed Algorithms for Decision Sciences (PDADS) - Presentations
Chair: Sudip Seal (Oak Ridge National Laboratory)
10:15am: Welcome Remarks
10:30am: Domain Decomposition Preconditioners for Unstructured Network Problems in Parallel Vector Architectures
Daniel Adrian Maldonado, Michel Schanen, François Pacaud, and Mihai Anitescu (Argonne National Laboratory)
Abstract
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10:45am: Constraint Solving by Quantum Annealing
Philippe Codognet (Sorbonne University / CNRS, University of Tokyo)
Abstract
pdf, mp4
11am: Towards Faster Execution of Ensemble ML Bootstrap Based Techniques
Vinay Gavirangaswamy (Western Michigan University, Cray- A Hewlett Packard Enterprise Company); Ajay Gupta (Western Michigan University); Vasilije Perovic (University of Rhode Island); and Hisham Saleh (Western Michigan University)
Abstract
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11:15am: Design Considerations for GPU-based Mixed Integer Programming on Parallel Computing Platforms
Kalyan Perumalla and Maksudul Alam (Oak Ridge National Laboratory)
Abstract
pdf, mp4
11:30am: GPU Accelerated SL0 for Multidimensional Signals
Gabriel George Baravdish, Jonas Unger, and Ehsan Miandji (Linköping University)
Abstract
pdf, mp4
11:45am: Cache-Aware Data Management for Memory-Mapped Forests
Eduardo Romero-Gainza, Christopher Stewart, and Angela Li (The Ohio State University); Kyle Hale (Illinois Institute of Technology); and Nathaniel Morris (The Ohio State University)
Abstract
pdf, mp4
Tuesday 9:15am-10:15am
Room C
Conference Paper
1C: Resource Management and Infrastructure
Chair: Yang You (National University of Singapore)
9:15am: CERES: Container-Based Elastic Resource Management System for Mixed Workloads
Jinyu Yu, Dan Feng, Wei Tong, Pengze Lv, and Yufei Xiong (Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology)
Abstract
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9:30am: PREP: Predicting Job Runtime with Job Running Path on Supercomputers
Longfang Zhou (Southwest University of Science and Technology, State Key Laboratory of Aerodynamics); Xiaorong Zhang (South West University of Science and Technology); Wenxiang Yang (College of Computer, National University of Defense Technology; Computational Aerodynamics Institute, China Aerodynamics Research and Development Center); Yongguo Han (Southwest University of Science and Technology); Fang Wang (Computational Aerodynamics Institute, China Aerodynamics Research and Development Center; State Key Laboratory of Aerodynamics); Yadong Wu (Sichuan University of Science and Engineering); and Jie Yu (State Key Laboratory of Aerodynamics; Computational Aerodynamics Institute, China Aerodynamics Research and Development Center)
Abstract
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9:45am: BitX: Empower Versatile Inference with Hardware Runtime Pruning
Hongyan Li, Hang Lu, Jiawen Huang, Wenxu Wang, Mingzhe Zhang, and Wei Chen (State Key Laborotary of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences); Liang Chang (University of Electronic Science and Technology of China); and Xiaowei Li (State Key Laborotary of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences)
Abstract
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10am: AMPS-Inf: Automatic Model Partitioning for Serverless Inference with Cost Efficiency.
Jananie Jarachanthan and Li Chen (University of Louisiana at Lafayette), Fei Xu (East China Normal University), and Bo Li (Hong Kong University of Science and Technology)
Abstract
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Tuesday 10:30am-11:30am
Room C
Conference Paper
2C: GPU-Accelerated Applications
Chair: Taisuke Boku (University of Tsukuba)
10:30am: Accelerating Sequence-to-Graph Alignment on Heterogeneous Processors
Zonghao Feng and Qiong Luo (Hong Kong University of Science and Technology)
Abstract
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10:45am: Exploring HW/SW Co-Optimizations for Accelerating Large-scale Texture Identification on Distributed GPUs
Junsong Wang (V-Origin), Xiaofan Zhang (Unviversity of Illinois at Urbana-Champaign), and Yubo Li and Yonghua Lin (V-Origin)
Abstract
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11am: MetaCache-GPU: Ultra-Fast Metagenomic Classification
Robin Kobus, André Müller, and Daniel Jünger (Johannes Gutenberg University Mainz); Christian Hundt (NVIDIA AI Technology Center Luxembourg); and Bertil Schmidt (Johannes Gutenberg University Mainz)
Abstract
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11:15am: Fourth-Order Exhaustive Epistasis Detection for the xPU Era
Ricardo Nobre and Aleksandar Ilic (INESC-ID; Instituto Superior Técnico, Universidade de Lisboa); Sergio Santander-Jiménez (University of Extremadura); and Leonel Sousa (INESC-ID; Instituto Superior Técnico, Universidade de Lisboa)
Abstract
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Tuesday 11:45am-12:45pm
Room C
Conference Paper
3C: Applications with Machine Learning
Chair: Xingfu Wu (Argonne National Laboratory, University of Chicago)
11:45am: CNN+LSTM Accelerated Turbulent Flow Simulation with Link-Wise Artificial Compressibility Method
Sijiang Fan (National University of Defense Technology, University of Manchester); Jiawei Fei, Xiao-Wei Guo, and Canqun Yang (National University of Defense Technology); and Alistair Revell (University of Manchester)
Abstract
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12pm: ComputeCOVID19+: Accelerating COVID-19 Diagnosis and Monitoring via High-Performance Deep Learning
Garvit Goel, Atharva Gondhalekar, and Jingyuan Qi (Virginia Tech); Zhicheng Zhang (Stanford University); and Guohua Cao and Wu Feng (Virginia Tech)
Abstract
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12:15pm: IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads
Aymen Al Saadi (Rutgers University); Austin Clyde (Argonne, Univ. of Chicago); Shantenu Jha (Brookhaven National Laboratory, Rutgers University); Agastya Bhati (UCL); Alexander Brace (Argonne); Li Tan (Brookhaven National Laboratory); Anda Trifan (University of Illinois at Urbana Champaign, Argonne National Laboratory); Heng Ma (Argonne National Laboratory); Matteo Turilli (Rutgers University, Brookhaven National Laboratory); Yadu Babuji and Benjamin Blaiszik (University of Chicago, Argonne National Laboratory); Thomas Brettin (Argonne National Laboratory); Kyle Chard (University of Chicago); Ryan Chard (Argonne National Laboratory); Ian Foster (Argonne National Laboratory, University of Chicago); Thomas Gibbs and Kristopher Keipert (NVIDIA Inc.); Alexander Partin (Argonne National Laboratory); Ashka Shah (University of Chicago); Abraham Stern (NVIDIA Inc.); Aristeidis Tsaris (Oak Ridge National Laboratory); Huub Van Dam (Brookhaven National Laboratory); Arvind Ramanathan (Argonne); Peter Coveney (UCL); Rick Stevens (Argonne National Laboratory, University of Chicago); Hyungro Lee and Andre Merzky (Rutgers University); Mikhail Titov (Brookhaven National Laboratory); Dario Alfe (University College London); Dieter Kranzlmüller (Leibniz Research Centre); Shunzhou Wan (University College London); David Wifling and Gerald Mathias (Leibniz Research Centre); Zhuozhao Li (University of Chicago); Thorsten Kurth (NVIDIA Inc.); and Junqi Yin (Oak Ridge National Laboratory)
Abstract
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12:30pm: Multi-Agent Reinforcement Learning based Distributed Renewable Energy Matching for Datacenters
Haoyu Wang, Haiying Shen, Jiechao Gao, Kevin Zheng, and Xiaoying Li (University of Virginia)
Abstract
pdf, mp4
Wednesday 10:30am-11:30am
Room C
Conference Paper
4C: Algorithms and Applications
Chair: Zhou Jin (China University of Petroleum, Beijing,)
10:30am: Generalized Skyline Interval Coloring and Dynamic Geometric Bin Packing Problems
Runtian Ren and Xueyan Tang (Nanyang Technological University)
Abstract
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10:45am: Accelerating DBSCAN Algorithm with AI Chips for Large Datasets
Zhuoran Ji and Cho-Li Wang (The University of Hong Kong)
Abstract
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11am: Efficient Parallel Algorithms for String Comparison
Nikita Mishin and Daniil Berezun (Saint Petersburg State University, JetBrains Research) and Alexander Tiskin (Saint Petersburg State University)
Abstract
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11:15am: Parallel Tucker Decomposition with Numerically Accurate SVD
Zitong Li, Qiming Fang, and Grey Ballard (Wake Forest University)
Abstract
pdf, mp4
Wednesday 11:45am-12:45pm
Room C
Conference Paper
5C: Applications and Performance
Chair: Valerie Taylor (Argonne National Laboratory (ANL))
11:45am: ADA: An Application-Conscious Data Acquirer for Visual Molecular Dynamics
Hanpei Wu (SIST, ShanghaiTech University, China); Tongliang Deng (SenseTime Research, China); Yanliang Zou (SIST, ShanghaiTech University, China); Shu Yin (SIST, ShanghaiTech University, China; State Key Lab of High Performance Computing); Si Chen (West Chester University, PA, USA); and Tao Xie (San Diego State University, CA, USA)
Abstract
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12pm: Teddy: An Efficient SIMD-based Literal Matching Engine for Scalable Deep Packet Inspection
Kun Qiu, Harry Chang, Yang Hong, Wenjun Zhu, Xiang Wang, and Baoqian Li (Intel APAC)
Abstract
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12:15pm: Enabling Efficient SIMD Acceleration for Virtual Radio Access Network
Jianda Wang and Yang Hu (University of Texas at Dallas)
Abstract
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12:30pm: Scaling Generalized N-Body Problems, A Case Study from Genomics
Marquita Ellis (The University of California at Berkeley, Lawrence Berkeley National Lab); Aydin Buluc (Lawrence Berkeley National Lab, The University of California at Berkeley); and Katherine Yelick (The University of California at Berkeley, Lawrence Berkeley National Lab)
Abstract
pdf, mp4
Thursday 9:15am-10:15am
Room C
Conference Paper
6C: Data Structures and Applications
Chair: Wei Xue (Tsinghua University)
9:15am: A Universal Construction to implement Concurrent Data Structure for NUMA-multicore
Zhengming Yi, Yiping Yao, and Kai Chen (National University of Defense Technology)
Abstract
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9:30am: A Novel Multi-CPU/GPU Collaborative Computing Framework for SGD-based Matrix Factorization
Yizhi Huang (Hunan University, Zhejiang Lab); Yanlong Yin (Zhejiang Lab); Yan Liu (Hunan University); Shuibing He (Zhejiang University, Zhejiang Lab); and Yang Bai and Renfa Li (Hunan University)
Abstract
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9:45am: FedCav: Contribution-aware Model Aggregation on Distributed Heterogeneous Data in Federated Learning
Hui Zeng, Tongqing Zhou, Yeting Guo, and Zhiping Cai (College of Computer, National University of Defense Technology) and Fang Liu (School of Design, Hunan University)
Abstract
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10am: A Fast, General System for Buffered Persistent Data Structures
Haosen Wen, Wentao Cai, Mingzhe Du, Louis Jenkins, Benjamin Valpey, and Michael L. Scott (University of Rochester)
Abstract
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Thursday 10:30am-11:30am
Room C
Conference Paper
7C: Virtualization and Stream Processing
Chair: Ali Jannesari (Iowa State University)
10:30am: Progressive Memory Adjustment with Performance Guarantee in Virtualized Systems
Lulu Yao, Yongkun Li, and Jiawei Li (University of Science and Technology of China); Weijie Wu (Independent Researcher); and Yinlong Xu (University of Science and Technology of China)
Abstract
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10:45am: Best VM Selection for Big Data Applications across Multiple Frameworks by Transfer Learning
Yuewen Wu and Heng Wu (Institute of Software, Chinese Academy of Sciences) and Yuanjia Xu, Yi Hu, Wenbo Zhang, Hua Zhong, and Tao Huang (Institute of Software, Chinese Academy of Sciences; University of Chinese Academy of Sciences)
Abstract
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11am: Efficient Complete Event Trend Detection over High-Velocity Streams
Huiyao Mei, Hanhua Chen, Hai Jin, and Qiangsheng Hua (Huazhong University of Science and Technology) and Bing Bing Zhou (The University of Sydney)
Abstract
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11:15am: Paratick: Reducing Timer Overhead in Virtual Machines
Stijn Schildermans and Kris Aerts (KU Leuven), Jianchen Shan (Hofstra University), and Xiaoning Ding (New Jersey Institute of Technology)
Abstract
pdf, mp4

Webinar
Tuesday 8:00am-8:15am
Webinar
Opening Remark
Opening Remarks
mp4
Tuesday 8:15am-9:00am
Webinar
Keynote
Keynote: Rick L. Stevens, DOE-ANL, Exascale and then what?: The next decade for HPC and AI
Chair: Xian-He Sun (Illinois Institute of Technology)
We are on the verge of deploying Exascale systems, which remarkably in the US are quite similar in architecture and programming model. But what comes after these initial exascale systems? Are we going to see AI accelerators breakout into the mainstream? Are hybrid-HPC/AI surrogate models the future of scientific computing? And if so what is the architecture and software implication? Is a hardware disaggregation model viable for HPC applications? Are quantum and neuromorphic systems likely to be on the major vendor’s roadmaps for the next decade? Heterogenous workflows connecting the edge to the core are becoming more important yet our software stacks are unprepared and do not treat workflows as first class applications. In this talk I’ll try to make sense of trends and future directions and outline some important research problems for the next decade. Rick Stevens is the Associate Laboratory Director of the Computing, Environment and Life Sciences Directorate at Argonne National Laboratory, and a Professor of Computer Science at the University of Chicago, with significant responsibility in delivering on the U.S. national initiative for Exascale computing and developing the DOE initiative in Artificial Intelligence (AI) for Science. His research spans the computational and computer sciences, from high-performance computing to the building of innovative tools and techniques for biological science and infectious disease research as well as approaches to advance deep learning to accelerate cancer and COVID-19 research. He also specializes in collaborative visualization technology and grid computing. At Argonne, he leads the Laboratory’s AI for Science initiative and is currently focusing on high-performance computing systems which includes collaborating with Intel and Cray to launch Argonne’s first exascale computer, Aurora, as well as the National AI Accelerator Testbed which brings together leading AI scientists to provide an open and unbiased environment for the evaluation of emerging AI accelerator technologies designed to accelerate training and inference for deep learning models. Prof. Stevens is a member of the American Association for the Advancement of Science and has received many national honors for his research, including an R&D 100 award and most recently being named a Fellow of the Association of Computer Machinery (ACM) for his continuing contributions to high-performance computing.
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Tuesday 7:00pm-8:00pm
Webinar
ICPP Bonfire
Bonfire Gathering: Remember the Old Tradition Virtually!
Chair: Wu Feng (Virginia Tech)
ICPP started in 1972 as an intimate workshop-like gathering of intellectuals in parallel processing. As ICPP rapidly grew in stature and size, the ICPP bonfire joke-telling party came into being about 1976 to capture that original informal workshop-like setting for more than a decade. This year’s virtual ICPP bonfire will reminisce about the history behind the bonfires, their social and professional impact to the parallel computing community, and the jokes that were told, all from the perspective of long-time ICPP bonfire attendees from the 1970s and 1980s, who are noted below. HJ Siegel (moderator), Bruce Berra, Tom Casavant, Hank Dietz, Doug DeGroot, Duncan Lawrie, Diane Smith
Wednesday 8:00am-9:00am
Webinar
Conference Paper
Best Paper Candidates
Chair: Felix Wolf (Technical University of Darmstadt)
8am: FastPSO: Towards Efficient Swarm Intelligence Algorithm on GPUs
BP
Hanfeng Liu (School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen; Shenzhen Institute of Artificial Intelligence and Robotics for Society); Zeyi Wen (Department of Computer Science and Software Engineering, The University of Western Australia); and Wei Cai (School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen; Shenzhen Institute of Artificial Intelligence and Robotics for Society)
Abstract
pdf, mp4
8:15am: SPMFS: A Scalable Persistent Memory File System on Optane Persistent Memory
BP
Yang Yang and Qiang Cao (Huazhong University of Science and Technology)
Abstract
pdf, mp4
8:30am: Exploiting system level heterogeneity to improve the performance of a GeoStatistics multi-phase task-based application
BP
Lucas Leandro Nesi (Institute of Informatics, Federal University of Rio Grande do Sul); Arnaud Legrand (University Grenoble Alpes, CNRS); and Lucas Mello Schnorr (Institute of Informatics, Federal University of Rio Grande do Sul)
Abstract
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8:45am: Context-aware Data Operation Strategies in Edge Systems for High Application Performance
BP
TANMOY SEN and Haiying Shen (University of Virginia)
Abstract
pdf, mp4
Thursday 8:15am-9:00am
Webinar
Keynote
Keynote: Manish Parashar, U. Utah, NSF, Harnessing Advanced Cyberinfrastructure for Urgent Science
Chair: Sameer Shende (University of Oregon)
Advanced Cyberinfrastructure (CI) plays an essential role in our ability to respond to national emergencies, from pandemics to extreme weather event (e.g., hurricanes and tornadoes), wildfires, cyber-attacks, and nuclear disasters. This was demonstrated over the past year, as CI has played a critical role in supporting the urgent science needed to address the global COVID-19 pandemic, including advancing our understanding of the SARS-CoV-2 virus structure, its host interactions, developing strategies to mitigate its spread, and supporting early-stage drug development. Specifically, the COVID-19 HPC Consortium brought together international stakeholders across academia, government, industry, and non-profits to provide CI resources, services, and expertise, in an agile and expedient way, to help address the many dimensions of this pandemic. In this talk, I will discuss the role of CI in supporting urgent science using our response to the COVID-19 pandemic and the COVID-19 HPC Consortium as an example. I will also explore how we can leverage these experiences to better prepare for future emergencies. Manish is Office Director of the Office of Advanced Cyberinfrastructure at NSF. He joins NSF as an IPA from the University of Utah where he is the Director of the Scientific Computing and Imaging (SCI) Institute, Chair in Computational Science and Engineering, and Professor in School of Computing. His research interests are in the broad areas of Parallel and Distributed Computing and Computational and Data-Enabled Science and Engineering. Manish is Fellow of AAAS, ACM, and IEEE/IEEE Computer Society. For more information, please visit http://manishparashar.org.
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Thursday 11:45am-12:45pm
Webinar
Closing and Conference Awards

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Closing and Conference Awards

Created 2021-8-8 18:53