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IPDPS 2022 Advance Program

The Main Conference Advance Program is available here. It includes the virtual program schedule for Tuesday, Wednesday and Thursday and provides the mapping of papers to the technical session in which they will be presented and the abstract for that paper.

The IPDPS 2022 Workshops listed here will be held on Monday, May 30th and Friday, June 3rd. See the individual website for the workshop’s program schedule. The Monday schedule will also include events for the PhD Forum.

The full schedule for all events will be available on the Virtual Platform to which all registrants will have access via the email address (user id) that they used to register for the conference. Prior to the start of the conference, registrants will receive email with an invitation to sign-in to the platform. Be sure to check spam if you do not see it in your regular mailbox. Registrants will also receive email giving them access to the proceedings.

The following is a list of the 123 contributed papers accepted for presentation as part of the main conference program to be held virtually on May 31st, June 1st, and June 2nd. The three days will include the keynote presentations as listed on the home page.

 

Updated April 18, 2022

A Fine-grained Prefetching Scheme for DGEMM Kernels on GPU with Auto-tuning Compatibility

Jialin Li, Computer network information center, Chinese Academy of Sciences
Huang Ye, Computer network information center, Chinese Academy of Sciences
Shaobo Tian, Computer network information center, Chinese Academy of Sciences
Xinyuan Li, Computer network information center, Chinese Academy of Sciences
Jian Zhang, Computer network information center, Chinese Academy of Sciences

A Framework to Exploit Data Sparsity in Tile Low-Rank Cholesky Factorization

Qinglei Cao, University of Tennessee
Rabab Alomairy, King Abdullah University of Science and Technology
Yu Pei, University of Tennessee
George Bosilca, University of Tennessee
Hatem Ltaief, King Abdullah University of Science and Technology
David Keyes, King Abdullah University of Science and Technology
Jack Dongarra, University of Tennessee

A General Offloading Approach for Processing-In-Memory Architectures

Dan Chen, Huazhong University of Science and Technology
Hai Jin, Huazhong University of Science and Technology
Long Zheng, Huazhong University of Science and Technology
Yu Huang, Huazhong University of Science and Technology
Pengcheng Yao, Huazhong University of Science and Technology
Chuangyi Gui, Huazhong University of Science and Technology
Qinggang Wang, Huazhong University of Science and Technology
Haifeng Liu, Huazhong University of Science and Technology
Haiheng He, Huazhong University of Science and Technology
Xiaofei Liao, Huazhong University of Science and Technology
Ran Zheng, Huazhong University of Science and Technology

A Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA

Hongkuan Zhou, University of Southern California
Bingyi Zhang, University of Southern California
Rajgopal Kannan, US Army Research Lab
Viktor Prasanna, University of Southern California
Carl Busart, US Army Research Lab

A Quantitative Study of the Spatiotemporal I/O Burstiness of HPC Application

Wenxiang Yang, College of Computer, National University of Defense Technology
Xiangke Liao, College of Computer, National University of Defense Technology
Dezun Dong, College of Computer, National University of Defense Technology
Jie Yu, Computational Aerodynamics Institute, China Aerodynamics Research and Development Center

A Scalable Adaptive-Matrix Solver for Heterogeneous Architectures

Han Tran, University of Utah
Milinda Fernando, University of Texas at Austin
Kumar Saurabh, Iowa State University
Baskar Ganapathysubramanian, Iowa State University
Robert Kirby, University of Utah
Hari Sundar, University of Utah

A self-stabilizing 1-minimal dominating set algorithm based on loop composition in networks of girth at least 7

Syohei Maruyama, Hiroshima University
Yuichi Sudo, Hosei University
Sayaka Kamei, Hiroshima University
Hirotsugu Kakugawa, Ryukoku University

A Swap Dominated Tensor Re-Generation Strategy for Training Deep Learning Models

Zan Zong, Tsinghua University
Lijie Wen, Tsinghua University
Li Lin, Tsinghua University
Leilei Lin, Capital Normal University

Accelerating Encrypted Computing on Intel GPUs

Yujia Zhai, University of California, Riverside
Mohannad Ibrahim, North Carolina State University
Yiqin Qiu, Intel Corporation
Fabian Boemer, Intel Corporation
Zizhong Chen, University of California, Riverside
Alexey Titov, Intel Corporation
Alexander Lyashevsky, Intel Corporation

Accuracy vs. Cost in Parallel Fixed-Precision Low-Rank Approximations of Sparse Matrices

Robert Ernstbrunner, University of Vienna
Viktoria Mayer, University of Vienna
Wilfried Gansterer, University of Vienna

Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning

Tingting Tang, University of Southern California
Ramy E. Ali, University of Southern California
Hanieh Hashemi, University of Southern California
Tynan Gangwani, University of Southern California
Salman Avestimehr, University of Southern California
Murali Annavaram, University of Southern California

Alias-Chain: Improving Blockchain Scalability via Exploring Content Locality among Transactions

Jintong Liu, Huazhong University of Science and Technology
Shenggang Wan, Huazhong University of Science and Technology
Xubin He, Temple University

An Efficient Block Validation Mechanism for UTXO-based Blockchains

Xiaohai Dai, Huazhong University of Science and Technology
Bin Xiao, The Hong Kong Polytechnic University
Jiang Xiao, Huazhong University of Science and Technology
Hai Jin, Huazhong University of Science and Technology

An Efficient Vectorization Scheme for Stencil Computation

Kun Li, Institute of Computing Technology of Chinese Academy of Sciences
Liang Yuan, Institute of Computing Technology of Chinese Academy of Sciences
Yunquan Zhang, Institute of Computing Technology of Chinese Academy of Sciences
Yue Yue, Institute of Computing Technology of Chinese Academy of Sciences
Hang Cao, Institute of Computing Technology of Chinese Academy of Sciences

An End-to-end and Adaptive I/O Optimization Tool for Modern HPC Storage Systems

Bin Yang, Shandong University
Yanliang Zou, Shanghai Tech University
Weiguo Liu, Shandong University
Wei Xue, Tsinghua University

An Integral-equation-oriented Vectorized SpMV Algorithm and its Application on CT Imaging Reconstructions

Weicai Ye, Sun Yat-sen University
Chenghuan Huang, Sun Yat-sen University
Jiasheng Huang, Sun Yat-sen University
Jiajun Li, Sun Yat-sen University
Yao Lu, Sun Yat-sen University
Ying Jiang, Sun Yat-sen University

Archpipe: Fast and Flexible Pipelined Erasure-coded Archival Scheme for Heterogeneous Networks

Bin Xu, Huazhong University of Science and Technology
Jianzhong Huang, Huazhong University of Science and Technology
Qiang Cao, Huazhong University of Science and Technology
Xiao Qin, Auburn University

As easy as ABC: Optimal (A)ccountable (B)yzantine (C)onsensus is easy!

Pierre Civit, Sorbonne University
Seth Gilbert, NUS Singapore
Vincent Gramoli, University of Sydney and EPFL
Rachid Guerraoui, EPFL
Jovan Komatovic, EPFL

Asynchronous Distributed-Memory Triangle Counting and LCC with RMA Caching

András Strausz, ETH Zurich
Flavio Vella, University of Trento, Italy
Salvatore Di Girolamo, ETH Zurich
Maciej Besta, ETH Zurich
Torsten Hoefler, ETH Zurich

AxoNN: An asynchronous, message-driven parallel framework for extreme-scale deep learning'

Siddharth Singh, University of Maryland, College Park
Abhinav Bhatele, University of Maryland, College Park

Batched sparse iterative solvers on GPU for the collision operator for fusion plasma simulations

Aditya Kashi, Karlsruhe Institute of Technology
Pratik Nayak, Karlsruhe Institute of Technology
Dhruva Kulkarni, Lawrence Berkeley National Laboratory
Aaron Scheinberg, Jubilee Development
Paul Lin, Lawrence Berkeley National Laboratory
Hartwig Anzt, Karlsruhe Institute of Technology

Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU

Jou-An Chen, North Carolina State University
Ang Li, Pacific Northwest National Lab
Nathan Tallent, Pacific Northwest National Lab
Kevin Barker, Pacific Northwest National Lab
Xipeng Shen, North Carolina State University
Hsin-Hsuan Sung, North Carolina State University

Booster: An Accelerator for Gradient Boosting Decision Trees Training and Inference

Mingxuan He, Purdue University
Mithuna Thottethodi, Purdue University
T. N. Vijaykumar, Purdue University

Bounding the Flow Time in Online Scheduling with Structured Processing Sets

Louis-Claude Canon, FEMTO-ST Institute
Anthony Dugois, Inria
Loris Marchal, CNRS

Co-Designing an OpenMP GPU Runtime and Optimizations for Near-Zero Overhead Execution

Johannes Doerfert, Argonne National Laboratory
Atmn Patel, University of Waterloo
Joseph Huber, Oak Ridge National Laboratory
Shilei Tian, Stony Brook University
Jose M. Monsalve Diaz, Argonne National Laboratory
Barbara Chapman, Stony Brook University
Giorgis Georgakoudis, Lawrence Livermore National Laboratory

Coloring the Vertices of 9-pt and 27-pt Stencils with Intervals

Dante Durrman, UNC Charlotte
Erik Saule, UNC Charlotte

Colza: Enabling Elastic In Situ Visualization for High-performance Computing Simulations

Matthieu Dorier, Argonne National Laboratory (ANL)
Zhe Wang, Rutgers University
Utkarsh Ayachit, Kitware, Inc
Shane Snyder, Argonne National Laboratory
Rob Ross, Argonne National Laboratory
Manish Parashar, University of Utah

Communication-efficient Massively Distributed Connected Components

Sebastian Lamm, Karlsruhe Institute of Technology
Peter Sanders, Karlsruhe Institute of Technology

Compiler-Directed Incremental Checkpointing for Low Latency GPU Preemption

Zhuoran Ji, The University of Hong Kong
Cho-Li Wang, The University of Hong Kong

Coupling streaming AI and HPC ensembles to achieve 100-1000$\times$ faster bio-molecular simulations

Alexander Brace, University of Chicago
Shantenu Jha, Brookhaven National Lab
Igor Yakushin, Argonne National Laboratory
Hyungro Lee, Rutgers University
Heng Ma, Argonne National Laboratory
Anda Trifan, University of Illinois Urbana Champaign
Li Tan, Brookhaven National Laboratory
Todd Munson, Argonne National Laboratory
Matteo Turilli, Rutgers University
Ian Foster, Argonne National Laboratory
Arvind Ramanathan, Argonne National Lab

CSC: Collaborative System Configuration for I/O-Intensive Applications in Multi-Tenant Clouds

Haowei Huang, Shanghai Jiao Tong University
Pu Pang, Shanghai Jiao Tong University
Quan Chen, Shanghai Jiao Tong University
Jieru Zhao, Shanghai Jiao Tong University
Wenli Zheng, Shanghai Jiao Tong University
Minyi Guo, Shanghai Jiao Tong University

CSMV: A Highly Scalable Multi-Versioned Software Transactional Memory for GPUs

Diogo Nunes, IST/INESC-ID
Daniel Castro, IST/INESC-ID
Paolo Romano, IST/INESC-ID

DEAN: A Lightweight and Resource-efficient Blockchain Protocol for Reliable Edge Computing

Abdullah Al Mamun, University of Nevada, Reno
Haoting Shen, University of Nevada, Reno
Dongfang Zhao, University of Nevada, Reno

Degree-Aware Kernels for Computing Jaccard Weights on GPUs

Amro Alabsi Aljundi, Sabancı University
Taha Atahan Akyıldız, Sabancı University
Kamer Kaya, Sabancı University

DeNOVA: Deduplication Extended NOVA File System

Hyungjoon Kwon, Sogang University
Yonghyeon Cho, Sogang University
Awais Khan, Oak Ridge National Laboratory
Yeohyeon Park, Sogang University
Youngjae Kim, Sogang University

DFMan: A Graph-based Optimization of Dataflow Scheduling on High-Performance Computing Systems

Fahim Tahmid Chowdhury, Florida State University
Francesco Di Natale, Lawrence Livermore National Laboratory
Adam Moody, Lawrence Livermore National Laboratory
Kathryn Mohror, Lawrence Livermore National Laboratory
Weikuan Yu, Florida State University

DGSF: Disaggregated GPUs for Serverless Functions

Henrique Fingler, The University of Texas at Austin
Zhiting Zhu, The University of Texas at Austin
Esther Yoon, The University of Texas at Austin
Zhipeng Jia, The University of Texas at Austin
Emmett Witchel, The University of Texas at Austin
Christopher J. Rossbach, The University of Texas at Austin

Direct solution of larger coupled sparse/dense linear systems using low-rank compression on single-node multi-core machines in an industrial context

Emmanuel Agullo, Inria
Marek Felšöci, Inria
Guillaume Sylvand, Airbus Central R & T

DistrEdge: Speeding up Convolutional Neural Network Inference on Distributed Edge Devices

Xueyu Hou, New Jersey Institute of Technology
Yongjie Guan, New Jersey Institute of Technology
Tao Han, New Jersey Institute of Technology
Ning Zhang, University of Windsor

Distributed Memory Sparse Kernels for Machine Learning

Vivek Bharadwaj, University of California, Berkeley
Aydın Buluç, Lawrence Berkeley National Laboratory
James Demmel, University of California, Berkeley

Dynamic Computation Offloading for Green Things-Edge-Cloud Computing with Local Caching

Xianzhong Tian, Zhejiang University of Technology
Huixiao Meng, Zhejiang University of Technology
Yanjun Li, Zhejiang University of Technology
Pingting Miao, Zhejiang University of Technology
Pengcheng Xu, Zhejiang University of Technology

Dynamic Task Shaping for High Throughput Data Analysis Applications in High Energy Physics

Benjamin Tovar, University of Notre Dame
Benjamin Lyons, University of Notre Dame
Kelci Mohrman, University of Notre Dame
Barry Sly-Delgado, University of Notre Dame
Kevin Lannon, University of Notre Dame
Douglas Thain, University of Notre Dame

Enabling Efficient Request Management through Microservice Level Parallelism

Xinkai Wang, Shanghai Jiao Tong University
Chao Li, Shanghai Jiao Tong University
Lu Zhang, Shanghai Jiao Tong University
Xiaofeng Hou, Hong Kong University of Science and Technology
Quan Chen, Shanghai Jiao Tong University
Minyi Guo, Shanghai Jiao Tong University

Excavating the Potential of Graph Workload on RDMA-based Far Memory Architecture

Jing Wang, Shanghai Jiao Tong University
Chao Li, Shanghai Jiao Tong University
Taolei Wang, Shanghai Jiao Tong University
Lu Zhang, Shanghai Jiao Tong University
Pengyu Wang, Shanghai Jiao Tong University
Junyi Mei, Shanghai Jiao Tong University
Minyi Guo, Shanghai Jiao Tong University

Exploiting Reduced Precision for GPU-based Time Series Mining

Yi Ju, Max Planck Computing and Data Facility
Amir Raoofy, Technical University of Munich
Dai Yang, NVIDIA GmbH
Erwin Laure, Max Plank Computing and Data Facility
Martin Schulz, Technical University of Munich

Falcon: A Timestamp-based Protocol to Maximize the Cache Efficiency in the Distributed Shared Memory

Jin Zhang, Shanghai Jiao Tong University
Xiangyao Yu, University of Wisconsin–Madison
Zhengwei Qi, Shanghai Jiao Tong University
Haibing Guan, Shanghai Jiao Tong University

FAM-Graph: Graph Analytics on Disaggregated Memory

Daniel Zahka, Georgia Institute of Technology
Ada Gavrilovska, Georgia Institute of Technology

Fast and High-Quality Influence Maximization on Multiple GPUs

Gökhan Göktürk, Sabancı University
Kamer Kaya, Sabancı University

Fast Convergence to Fairness for Reduced Long Flow Tail Latency in Datacenter Networks

John Snyder, Duke University
Alvin R. Lebeck, Duke University

Fast Parallel Bayesian Network Structure Learning

Jiantong Jiang, The University of Western Australia
Zeyi Wen, The University of Western Australia
Ajmal Mian, The University of Western Australia

Fault-tolerant Snapshot Objectsin Message Passing Systems

Vijay Garg, UT Austin
Saptaparni Kumar, Unaffiliated
Lewis Tseng, Boston College
Xiong Zheng, Google

Finding Small Vertex Covers in Parallel using GPUs

Peter Yamout, American University of Beirut
Karim Barada, American University of Beirut
Adnan Jaljuli, American University of Beirut
Amer Mouawad, American University of Beirut
Izzat El Hajj, American University of Beirut

FlashWalker: An In-Storage Accelerator for Graph Random Walks

Fuping Niu, Huazhong University of Science and Technology
Jianhui Yue, Michigan Tech. University
Jiangqiu Shen, Michigan Tech. University
Xiaofei Liao, Huazhong University of Science and Technology
Haikun Liu, Huazhong University of Science and Technology
Hai Jin, Huazhong University of Science and Technology

Generalized Flow-Graph Programming Using Template Task-Graphs: Initial Implementation and Assessment

Joseph Schuchart, University of Tennessee, Innovative Computing Laboratory
Poornima Nookala, IACS, Stony Brook University
Mohammad Mahdi Javanmard, Facebook Inc.
Thomas Herault, University of Tennessee, Innovative Computing Laboratory
Edward F. Valeev, Department of Chemistry, Virginia Tech
George Bosilca, University of Tennessee, Innovative Computing Laboratory
Robert J. Harrison, IACS, Stony Brook University

GSpecPal: Speculation-Centric Finite State Machine Parallelization on GPUs

Yuguang Wang, Michigan Technological University
Robbie Watling, Michigan Technological University
Junqiao Qiu, Michigan Technological University
Zhenlin Wang, Michigan Technological University

HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated Learning

Joel Wolfrath, University of Minnesota
Nikhil Sreekumar, University of Minnesota
Dhruv Kumar, University of Minnesota
Yuanli Wang, University of Minnesota
Abhishek Chandra, University of Minnesota

HDagg: Hybrid Aggregation of Loop-carried Dependence Iterations in Sparse Matrix Computations

Behrooz Zarebavani, University of Toronto
Kazem Cheshmi, University of Toronto
Bangtian Liu, University of Toronto
Michelle Mills Strout, University of Arizona
Maryam Mehri Dehnavi, University of Toronto

High-order Line Graphs of Non-uniform Hypergraphs: Algorithms, Applications, and Experimental Analysis

Xu Tony Liu, University of Washington
Jesun Firoz, Pacific Northwest National Laboratory
Andrew Lumsdaine, University of Washington
Cliff Joslyn, Pacific Northwest National Lab
Sinan Aksoy, Pacific Northwest National Lab
Ilya Amburg, Pacific Northwest National Lab
Brenda Praggastis, Pacific Northwest National Lab
Assefaw Gebremedhin, Washington State University

HRaft: Adaptive Erasure Coded Data Maintenance for Consensus in Distributed Networks

Yulei Jia, Tianjin University of Technology
Guangping Xu, Tianjin University of Technology
Chi Wan Sung, City University of Hong Kong
Salwa Mostafa, City University of Hong Kong
Yulei Wu, University of Exeter

HTS: A Threaded Multilevel Sparse Hybrid Solver

Joshua D. Booth, University of Alabama, Huntsville

Hybrid Workload Scheduling on HPC Systems

Yuping Fan, Illinois Institute of technology
Zhiling Lan, Illinois Institute of technology
Paul Rich, Argonne National Laboratory
William Allcock, Argonne National Laboratory
Michael Papka, Argonne National Laboratory

I/O-optimal Cache-oblivious Sparse Matrix-Sparse Matrix Multiplication

Niels Gleinig, ETH Zurich
Maciej Besta, ETH Zurich
Torsten Hoefler, ETH Zurich

In-Memory Indexed Caching for Distributed Data Processing

Alexandru Uta, Leiden University
Bogdan Ghit, Databricks
Ankur Dave, UC Berkeley
Jan Rellermeyer, TU Delft
Peter Boncz, CWI

Landau collision operator in the CUDA programming model applied to thermal quench plasmas

Mark Adams, Lawrence Berkeley National Laboratory
Dylan Brennan, Princeton University
Matthew Knepley, University of Buffalo
Peng Wang, NVIDIA

Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization

Ali TehraniJamsaz, Iowa State University
Mihail Popov, Inria
Akash Dutta, Iowa State University
Emmanuelle Saillard, Inria
Ali Jannesari, Iowa State University

Lightning: Scaling the GPU Programming Model Beyond a Single GPU

Stijn Heldens, Netherlands eScience Center
Pieter Hijma, VU University Amsterdam
Ben van Werkhoven, Netherlands eScience Center
Jason Maassen, Netherlands eScience Center
Rob V. van Nieuwpoort, Netherlands eScience Center

Memory Access Granularity Aware Lossless Compression for GPUs

Sohan Lal, Technical University of Hamburg
Manuel Renz, Technical University of Berlin
Julian Hartmer, Technical University of Berlin
Ben Juurlink, Technical University of Berlin

Memory-Aware Scheduling of Tasks Sharing Data on Multiple GPUs with Dynamic Runtime Systems

Maxime Gonthier, ENS Lyon
Loris Marchal, French National Center for Scientific Research
Samuel Thibault, Univ. Bordeaux

MICCO: An Enhanced Multi-GPU Scheduling Framework for Many-Body Correlation Functions

Qihan Wang, College of William and Mary
Bin Ren, College of William and Mary
Jie Chen, Jefferson Lab
Robert Edwards, Jefferson Lab

Minerva: Rethinking Secure Architectures for the Era of Fabric-Attached Memory Architectures

Mazen Alwadi, University of Central Florida
Rujia Wang, Illinois Institute of Technology
David Mohaisen, University of Central Florida
Clayton Hughes, Sandia National Laboratories
Simon Hammond, Sandia National Laboratories
Amro Awad, North Carolina State University

Mixed precision $s$-step Conjugate Gradient with Residual Replacement on GPUs

Ichitaro Yamazaki, Sandia National Laboratories
Erin Carson, Charles University
Brian Kelley, Sandia National Laboratories

MLCNN: Cross-Layer Cooperative Optimization and Accelerator Architecture for Speeding Up Deep Learning Applications

Beilei Jiang, University of North Texas
Xianwei Cheng, University of North Texas
Sihai Tang, University of North Texas
Xu Ma, University of North Texas
Zhaochen Gu, University of North Texas
Song Fu, University of North Texas
Qing Yang, University of North Texas
Mingxiong Liu, Los Alamos National Laboratory

Mnemonic: A Parallel Subgraph Matching System for Streaming Graphs

Bibek Bhattarai, George Washington University
Howie Huang, George Washington University

Modeling Matrix Engines for Portability and Performance

Nicholai Tukanov, Carnegie Mellon University
Tze Meng Low, Carnegie Mellon University
Jose Moreira, IBM
Rajalakshmi Srinivasaraghavan, IBM

Multi-Phase Task-Based HPC Applications: Quickly Learning how to Run Fast

Lucas Leandro Nesi, Institute of Informatics, Federal University of Rio Grande do Sul
Lucas Mello Schnorr, Institute of Informatics, Federal University of Rio Grande do Sul
Arnaud Legrand, University Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG

Neon: A Multi-GPU Programming Model for Grid-based Computations

Massimiliano Meneghin, Autodesk Research
Ahmed Mahmoud, Autodesk Research
Pradeep Kumar Jayaraman, Autodesk Research
Nigel J. W. Morris, Autodesk Research

Next-Generation Local Time Stepping for the ADER-DG Finite Element Method

Alexander Breuer, Friedrich Schiller University Jena
Alexander Heinecke, Intel

OmpSs@cloudFPGA: An FPGA Task-Based Programming Model with Message Passing

Juan Miguel de Haro, Barcelona Supercomputing Center
Rubén Cano, Barcelona Supercomputing Center
Carlos Álvarez, Universitat Politécnica de Catalunya
Daniel Jiménez-González, Universitat Politécnica de Catalunya
Xavier Martorell, Universitat Politécnica de Catalunya
Eduard Ayguadé, Barcelona Supercomputing Center
Jesús Labarta, Barcelona Supercomputing Center
Burkhard Ringlein, IBM Research Europe
Francois Abel, IBM Research Europe
Beat Weiss, IBM Research Europe

On the Parallel Reconstruction from Pooled Data

Oliver Gebhard, Goethe University, Frankfurt
Max Hahn-Klimroth, Goethe University, Frankfurt
Dominik Kaaser, University of Hamburg
Philipp Loick, Goethe University, Frankfurt

Optimal Arbitrary Pattern Formation on a Grid by Asynchronous Autonomous Robots

Rory Hector, Louisiana State University
Gokarna Sharma, Kent State University
Ramachandran Vaidyanathan, Louisiana State University
Jerry L. Trahan, Louisiana State University

Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs

Cody Rivera, University of Alabama
Sheng Di, Argonne National Laboratory
Xiaodong Yu, Argonne National Laboratory
Jiannan Tian, Washington State University
Dingwen Tao, Washington State University
Franck Cappello, Argonne National Laboratory

Parallel Approximations of the Tukey g-and-h Likelihoods and Predictions for Non-Gaussian Geostatistics

Sagnik Mondal, King Abdullah University of Science and Technology
Sameh Abdulah, King Abdullah University of Science and Technology
Marc Genton, King Abdullah University of Science and Technology
Ying Sun, King Abdullah University of Science and Technology
Hatem Ltaief, King Abdullah University of Science and Technology
David Keyes, King Abdullah University of Science and Technology

Parallel Fully Dynamic Maintenance of 2-Connected Components

Chirayu Haryan, Indian Institute of Technology Tirupati
Ramakrishna G, Indian Institute of Technology Tirupati
Kishore Kothapalli, International Institute of Information Technology Hyderabad
Dip Sankar Banerjee, Indian Institute of Technology Jodhpur

Parallel Global Edge Switching for the Uniform Sampling of Simple Graphs with Prescribed Degrees

Daniel Allendorf, Goethe University Frankfurt
Ulrich Meyer, Goethe University Frankfurt
Manuel Penschuck, Goethe University Frankfurt
Hung Tran, Goethe University Frankfurt

Parallel Tensor Train Rounding using Gram SVD

Hussam Al Daas, Rutherford Appleton Laboratory
Grey Ballard, Wake Forest University
Lawton Manning, Wake Forest University

Parallel, Portable Algorithms for Distance-2 Maximal Independent Set and Graph Coarsening

Brian Kelley, Sandia National Laboratories
Sivasankaran Rajamanickam, Sandia National Laboratories

Parallelizing and Balancing Large-scale Particle Simulations based on Coupled DSMC/PIC

Haozhong Qiu, College of Computer, National University of Defense Technology
Chuanfu Xu, College of Computer, National University of Defense Technology
Dali Li, College of Aerospace Science and Engineer, National University of Defense Technology
Haoyu Wang, College of Aerospace Science and Engineer, National University of Defense Technology
Jie Li, College of Aerospace Science and Engineer, National University of Defense Technology
Zheng Wang, University of Leeds

ParaTreeT: A Fast, General Framework for Spatial Tree Traversal

Joseph Hutter, University of Illinois at Urbana-Champaign
Justin Szaday, University of Illinois at Urbana-Champaign
Jaemin Choi, University of Illinois at Urbana-Champaign
Spencer Wallace, University of Washington
Simeng Liu, University of Illinois at Urbana-Champaign
Laxmikant Kale, University of Illinois at Urbana-Champaign
Thomas Quinn, University of Washington

PARSEC: PARallel Subgraph Enumeration in CUDA

Vibhor Dodeja, University of Illinois at Urbana-Champaign
Mohammad Almasri, University of Illinois at Urbana-Champaign
Rakesh Nagi, University of Illinois at Urbana-Champaign
Jinjun Xiong, IBM Thomas J. Watson Research Center
Wen-Mei Hwu, University of Illinois at Urbana-Champaign

P-ckpt: Coordinated Prioritized Checkpointing

Subhendu Behera, North Carolina State University
Lipeng Wan, Oak Ridge National Laboratory
Frank Mueller, North Carolina State University
Matthew Wolf, Oak Ridge National Laboratory
Scott Klasky, Oak Ridge National Laboratory

pFedGF: Enabling Personalized Federated Learning via Gradient Fusion

Xinghao Wu, State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science, Beihang University
Jianwei Niu, State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science, Beihang University
Xuefeng Liu, State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science, Beihang University
Tao Ren, Hangzhou Innovation Institute, Beihang University, Hangzhou 310051, China
Zhangmin Huang, Hangzhou Innovation Institute of Beihang University
Zhetao Li, Hunan International Scientific and Technological Cooperation Base of Intelligent Network, Xiangtan University, Xiangtan, Hunan 411105, China

PINT: Parallel INTerval-Based Race Detector

Yifan Xu, Washington University in St. Louis
Anchengcheng Zhou, Washington University in St. Louis
Kunal Agrawal, Washington University in St. Louis
I-Ting Angelina Lee, Washington University in St. Louis

Pok´eMem: Taming Wild Memory Consumers in Apache Spark

Minhyeok Kweun, Samsung Research
Goeun Kim, Samsung Research
Byungsoo Oh, Samsung Research
Seongho Jung, Samsung Research
Taegeon Um, Samsung Research
Woo-Yeon Lee, Samsung Research

PowerSpector: Towards Energy Efficiency with Calling-Context-Aware Profiling

Xin You, Beihang University
Hailong Yang, Beihang University
Zhibo Xuan, Beihang University
Zhongzhi Luan, Beihang University
Depei Qian, Beihang University

Preprocessing Pipeline Optimization for Scientific Deep-Learning Workloads

Khaled Ibrahim, Lawrence Berkeley National Laboratory
Leonid Oliker, Lawrence Berkeley National Laboratory

QoS-awareness of Microservices with Excessive Loads via Inter-Datacenter Scheduling

Jiuchen Shi, Shanghai Jiao Tong University
Jiawen Wang, Shanghai Jiao Tong University
Kaihua Fu, Shanghai Jiao Tong University
Quan Chen, Shanghai Jiao Tong University
Deze Zeng, China University of Geosciences
Minyi Guo, Shanghai Jiao Tong University

Resource Utilization Aware Job Scheduling to Mitigate Performance Variability

Daniel Nichols, University of   Maryland, College Park
Aniruddha Marathe, Lawrence Livermore National Laboratory
Kathleen Shoga, Lawrence Livermore National Laboratory
Todd Gamblin, Lawrence Livermore National Laboratory
Abhinav Bhatele, University of   Maryland, College Park

RLRP: High-Efficient Data Placement with Reinforcement Learning for Modern Distributed Storage Systems

Kai Lu, Huazhong University of Science and Technology
Nannan Zhao, Northwestern Polytechnical University
Jiguang Wan, Huazhong University of Science and Technology
Changhong Fei, Huazhong University of Science and Technology
Wei Zhao, SenseTime Research
Tongliang Deng, SenseTime Research

SALoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs

Seongyeon Park, CS, Yonsei University
Hajin Kim, CS, Yonsei University
Tanveer Ahmad, TU Delft
Nauman Ahmed, TU Delft
Zaid Al-Ars, TU Delft
Peter Hofstee, TU Delft
Youngsok Kim, CS/AI, Yonsei University
Jinho Lee, CS/AI, Yonsei University

Scalable Low-Latency Inter-FPGA Networks

Kien Trung Pham, Graduate University for Advanced Studies, SOKENDAI
Thao Nguyen Truong, National Institute of Advanced Industrial Science and Technology (AIST)
Hiroshi Yamaguchi, Photonics Electronics Technology Research Association (PETRA)
Yutaka Urino, Photonics Electronics Technology Research Association (PETRA)
Michihiro Koibuchi, National Institute of Informatics (NII)

Scalable Multi-Versioning Metadata Dictionaries with Persistent Memory Support

Bogdan Nicolae, Argonne National Laboratory (ANL)

Scaling and Selecting GPU Methods for All Pairs Shortest Paths (APSP) Computations

Yang Xia, Ohio State
Peng Jiang, University of Iowa
Rajiv Ramnath, Ohio State
Gagan Agrawal, Augusta University

Scheduling on Uniform and Unrelated Machines with Bipartite Incompatibility Graphs

Tytus Pikies, Gdańsk University of Technology
Hanna Furmańczyk, University of Gdańsk

SecFortress: Securing Hypervisor using Cross-layer Isolation

Qihang Zhou, Institute of Information Engineering, Chinese Academy of Sciences
Xiaoqi Jia, Institute of Information Engineering, Chinese Academy of Sciences
Shengzhi Zhang, Department of Computer Science, Metropolitan College, Boston University, USA
Nan Jiang, Institute of Information Engineering, Chinese Academy of Sciences
Jiayun Chen, Institute of Information Engineering, Chinese Academy of Sciences
Weijuan Zhang, Institute of Information Engineering, Chinese Academy of Sciences

SFP: Service Function Chain Provision on Programmable Switches for Cloud Tenants

Hongyi Huang, Tsinghua University
Wenfei Wu, Peking University
Zehua Guo, Beijing Institute of Technology
Yongchao He, Tsinghua University

"Smarter" NICs for Faster Molecular Dynamics: a Case Study

Sara Karamati, Georgia Institute of Technology
Jeffrey Young, Georgia Institute of Technology
Richard Vuduc, Georgia Institute of Technology

Sparsity-Aware Tensor Factorization

Sureyya Emre Kurt, University of Utah
Saurabh Raje, University of Utah
Aravind Sukumaran-Rajam, Washington State University
P. Sadayappan, University of Utah

SpectralFly: Ramanujan Graphs as Flexible and Efficient Interconnection Networks

Sinan Aksoy, Pacific Northwest National Lab
Stephen Young, Pacific Northwest National Lab
Jesun Firoz, Pacific Northwest National Laboratory
Roberto Gioiosa, Pacific Northwest National Lab
Mark Raugas, Pacific Northwest National Lab
Mark Kempton, Brigham Young University
Tobias Hagge, Pacific Northwest National Lab
Juan Andres Escobedo Contreras, Pacific Northwest National Lab

SPIDER: An Effective, Efficient and Robust Load Scheduler for Real-time Split Frame Rendering

Bingzheng Ma, Nankai University
Ziqiang Zhang, Nankai University
Yusen Li, Nankai University
Wentong Cai, Nanyang Technological University
Gang Wang, Nankai University
Xiaoguang Liu, Nankai University

SSB-Tree: Making Persistent Memory B+-Trees Crash-Consistent and Concurrent by Lazy-Box

Tongliang Li, Tsinghua University
Haixia Wang, Tsinghua University
Airan Shao, Tsinghua University
Dongsheng Wang, Tsinghua University

StencilMART: Predicting Optimization Selection for Stencil Computations across GPUs

Qingxiao Sun, Beihang University
Yi Liu, Beihang University
Hailong Yang, Beihang University
Zhonghui Jiang, Beihang University
Zhongzhi Luan, Beihang University
Depei Qian, Beihang University

TagTree: Global Tagging Index with Efficient Querying for Time Series Databases

Jin Xue, The Chinese University of Hong Kong
Zhiqi Wang, The Chinese University of Hong Kong
Tianyu Wang, The Chinese University of Hong Kong
Zili Shao, The Chinese University of Hong Kong

Task-based Acceleration of Bidirectional Recurrent Neural Networks on Multi-core Architectures

Robin Kumar Sharma, Barcelona Supercomputing center
Marc Casas, Barcelona Supercomputing center

TEE-based decentralized recommender systems: The raw data sharing redemption

Akash Dhasade, EPFL
Nevena Dresevic, EPFL
Anne-Marie Kermarrec, EPFL
Rafael Pires, EPFL

The Fast and Scalable MPI Application Launch of the Tianhe HPC system

Yiqin Dai, National University of Defense Technology
Yong Dong, National University of Defense Technology
Min Xie, National University of Defense Technology
Kai Lu, National University of Defense Technology
Ruibo Wang, National University of Defense Technology

The Universal Gossip Fighter

Anastasiia Gorbunova, École polytechnique fédérale de Lausanne
Anne-Marie Anne-Marie Kermarrec, École polytechnique fédérale de Lausanne
Anastasiia Kucherenko, École polytechnique fédérale de Lausanne
Rafaël Pinot, École polytechnique fédérale de Lausanne
Rachid Guerraoui, École polytechnique fédérale de Lausanne

Top-Down Performance Profiling on NVIDIA’s GPUs

Alvaro Saiz, University of Cantabria
Pablo Prieto, University of Cantabria
Pablo Abad, University of Cantabria
Jose Angel Gregorio, University of Cantabria
Valentin Puente, University of Cantabria

Topological Modeling and Parallelization of Multidimensional Data on Microelectrode Arrays

Olamide Tawose, University of Nevada, Reno
Bin Li, University of Nevada, Reno
Lei Yang, University of Nevada, Reno
Feng Yan, University of Nevada, Reno
Dongfang Zhao, University of Nevada, Reno

Towards Distributed 2-Approximation Steiner Minimal Trees in Billion-edge Graphs

Tahsin Reza, Lawrence Livermore National Laboratory
Geoffrey Sanders, Lawrence Livermore National Laboratory
Roger Pearce, Lawrence Livermore National Laboratory

Traffic-Optimal Virtual Network Function Placement and Migration in Dynamic Cloud Data Centers

Vincent Tran, University of California Riverside
Jingsong Sun, California State University Dominguez Hills
Bin Tang, California State University Dominguez Hills
Deng Pan, Florida International University

Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators

Raveesh Garg, Georgia Institute of Technology
Eric Qin, Georgia Institute of Technology
Francisco Muñoz-Martínez, Universidad de Murcia
Robert Guirado, Universitat Politecnica de Catalunya
Akshay Jain, Neutroon
Sergi Abadal, Universitat Politecnica de Catalunya
José Abellán, Universidad Católica de Murcia
Manuel Acacio, Universidad de Murcia
Eduard Alarcon, Universitat Politecnica de Catalunya
Sivasankaran Rajamanickam, Sandia National Laboratories
Tushar Krishna, Georgia Institute of Technology

Unlocking Personalized Healthcare on Modern CPUs/GPUs: Three-way Gene Interaction Study

Diogo Marques, INESC-ID
Rafael Campos, INESC-ID
Sergio Santander-Jiménez, Polytechnic School, University of Extremadura
Zakhar Matveev, Intel Corporation
Leonel Sousa, INESC-ID
Aleksandar Ilic, INESC-ID

Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep Learning

Thao Nguyen Truong, AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory
François Trahay, Télécom SudParis
Jens Domke, RIKEN Center for Computational Science
Aleksandr Drozd, RIKEN Center for Computational Science
Emil Vatai, RIKEN Center for Computational Science
Jianwei Liao, College of Computer and Information Science, Southwest University of China
Mohamed Wahib, National Institute of Advanced Industrial Science and Technology
Balazs Gerofi, RIKEN Center for Computational Science

 

 

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IPDPS 2021 Report



35th IEEE International Parallel & Distributed Processing Symposium

(Portland, Oregon USA)
May 17-21,2021

HELD VIRTUALLY

REPORT ON IPDPS 2021