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ORCID33rd IPDPS 2019: Rio de Janeiro, Brazil - Workshops
- IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2019, Rio de Janeiro, Brazil, May 20-24, 2019. IEEE 2019, ISBN 978-1-7281-3510-6
HCW: Heterogeneity in Computing Workshop
- Sudeep Pasricha:
Introduction to HCW 2019. 1 - Behrooz A. Shirazi:
Message from the HCW Steering Committee Chair. 2 - Sudeep Pasricha:
Message from the HCW General Chair. 3 - John K. Antonio:
Message from the HCW Program Committee Chair. 4 - Viktor K. Prasanna:
HCW 2019 Keynote Address. 5
Session 1: Task Scheduling
- Chavit Denninnart
, James Gentry, Mohsen Amini Salehi:
Improving Robustness of Heterogeneous Serverless Computing Systems via Probabilistic Task Pruning. 6-15 - Olivier Beaumont, Lionel Eyraud-Dubois, Yihong Gao:
Influence of Tasks Duration Variability on Task-Based Runtime Schedulers. 16-25
Session 2: Programming Models for Accelerator-Based Systems
- Matthias Noack, Erich Focht, Thomas Steinke:
Heterogeneous Active Messages for Offloading on the NEC SX-Aurora TSUBASA. 26-35 - Joel Fuentes, Wei-Yu Chen, Guei-Yuan Lueh, Isaac D. Scherson:
A Lock-Free Skiplist for Integrated Graphics Processing Units. 36-46
Session 3: Matrix Computations
- Arjun Rawal, Yuanwei Fang, Andrew A. Chien:
Programmable Acceleration for Sparse Matrices in a Data-Movement Limited World. 47-56 - Stephen Patton, Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky:
SummaGen: Parallel Matrix-Matrix Multiplication Based on Non-rectangular Partitions for Heterogeneous HPC Platforms. 57-68
RAW: Reconfigurable Architectures Workshop
- Fernanda Lima, Oliver Diessel:
Introduction to RAW 2019. 69 - Luigi Carro:
RAW 2019 Keynote Speaker. 70
Short paper Introductions
- Yosi Ben-Asher, Esti Stein:
Evaluation of Circuits on the Reconfigurable Mesh. 71-74 - Mateus Saquetti, Guilherme Bueno, Weverton Cordeiro, José Rodrigo Azambuja:
VirtP4: An Architecture for P4 Virtualization. 75-78 - Marzhan Bekbolat, Sabina Kairatova, Ayan Shymyrbay, Kizheppatt Vipin:
HBLast: An Open-Source FPGA Library for DNA Sequencing Acceleration. 79-82 - Jens Rettkowski, Safdar Mahmood, Arij Shallufa, Michael Hübner, Diana Göhringer:
Inspection of Partial Bitstreams for FPGAs Using Artificial Neural Networks. 83-86 - Syed Waqar Nabi, Wim Vanderbauwhede:
Smart-Cache: Optimising Memory Accesses for Arbitrary Boundaries and Stencils on FPGAs. 87-90 - Anna Maria Nestorov, Alberto Scolari, Enrico Reggiani, Luca Stornaiuolo, Marco D. Santambrogio:
A Case Study for an Accelerated DCNN on FPGA-Based Embedded Distributed System. 91-94 - Maurício Acconcia Dias, Daniel Augusto Pagi Ferreira:
Deep Learning in Reconfigurable Hardware: A Survey. 95-98
Oral Session I - Design Methods and Tools
- Zakarya Guettatfi, Marco Platzner, Omar Kermia, Abdelhakim Khouas:
An Approach for Mapping Periodic Real-Time Tasks to Reconfigurable Hardware. 99-106 - Enrico Reggiani, Marco Rabozzi, Anna Maria Nestorov, Alberto Scolari, Luca Stornaiuolo, Marco D. Santambrogio:
Pareto Optimal Design Space Exploration for Accelerated CNN on FPGA. 107-114 - Markus Weinhardt:
High-Level Synthesis Oriented Restructuring of Functions with While Loops. 115-122
Oral Session II - Applications
- Theodore Winograd, Rabia Shahid, Kris Gaj:
An Automated Scheduler-Based Approach for the Development of Cryptoprocessors for Pairing-Based Cryptosystems. 123-131 - Luca Stornaiuolo, Massimo Perini, Marco D. Santambrogio, Donatella Sciuto:
FPGA-Based Embedded System Implementation of Audio Signal Alignment. 132-139 - Fabio Benevenuti, Eduardo Chielle, Jorge L. Tonfat, Lucas A. Tambara, Fernanda Lima Kastensmidt, Carlos Alberto Zaffari, João Baptista dos Santos Martins, Otávio Santos Cupertino Durão:
Experimental Applications on SRAM-Based FPGA for the NanosatC-BR2 Scientific Mission. 140-146
Oral Session III - CAD
- Florian Fricke, André Werner, Keyvan Shahin, Florian Werner, Michael Hübner:
Automatic Tool-Flow for Mapping Applications to an Application-Specific CGRA Architecture. 147-154 - Dario Korolija, Mirjana Stojilovic:
FPGA-Assisted Deterministic Routing for FPGAs. 155-162
HiCOMB: High Performance Computational Biology
- Alba Cristina Magalhaes Alves de Melo, Ananth Kalyanaraman:
Introduction to HiCOMB 2019. 163-164 - Ajay K. Royyuru:
HiCOMB 2019 Keynote Speaker. 165
Session I
- Dhananjai Madhava Rao, Sutharzan Sreeskandarajan, Chun Liang:
Accelerating Clustering using Approximate Spanning Tree and Prime Number Based Filter. 166-174 - Ivo Baar, Lukas Hübner, Peter Oettig, Adrian Zapletal, Sebastian Schlag, Alexandros Stamatakis, Benoit Morel:
Data Distribution for Phylogenetic Inference with Site Repeats via Judicious Hypergraph Partitioning. 175-184
Session II
- Kary A. C. S. Ocaña, Thaylon Guedes, Daniel de Oliveira:
ArrOW: Experiencing a Parallel Cloud-Based De Novo Assembler Workflow. 185-190
Session III
- Muhammad Haseeb, Fatima Afzali, Fahad Saeed:
LBE: A Computational Load Balancing Algorithm for Speeding up Parallel Peptide Search in Mass-Spectrometry Based Proteomics. 191-198 - Elliott Binder, Tze Meng Low, Doru-Thom Popovici:
A Portable GPU Framework for SNP Comparisons. 199-208 - Maël Kerbiriou, Rayan Chikhi:
Parallel Decompression of Gzip-Compressed Files and Random Access to DNA Sequences. 209-217
GrAPL: Graph, Architectures, Programming and Learning
- Tim Mattson, Antonino Tumeo:
Introduction to GrAPL 2019. 218-219 - Keshav Pingali:
GrAPL Keynote 1. 220
Session: Graph Analytics - Infrastructure
- Benjamin Priest, Trevor Steil, Geoffrey Sanders, Roger Pearce:
You've Got Mail (YGM): Building Missing Asynchronous Communication Primitives. 221-230
Session: Graph Analytics - Algorithms
- Muhammad Osama, Minh Truong, Carl Yang, Aydin Buluç, John D. Owens:
Graph Coloring on the GPU. 231-240 - Upasana Sridhar, Mark P. Blanco, Rahul Mayuranath, Daniele G. Spampinato, Tze Meng Low, Scott McMillan:
Delta-Stepping SSSP: From Vertices and Edges to GraphBLAS Implementations. 241-250 - Trevor Steil, Benjamin W. Priest, Geoffrey Sanders, Roger Pearce, Timothy La Fond, Keita Iwabuchi:
Distributed Kronecker Graph Generation with Ground Truth of Many Graph Properties. 251-260 - Bruno Ribeiro:
GrAPL Keynote 2. 261
Session: Graphs and Machine Learning
- Ronald D. Hagan, Brett D. Hagan, Charles A. Phillips, Bradley J. Rhodes, Michael A. Langston:
Compound Analytics using Combinatorics for Feature Selection: A Case Study in Biomarker Detection. 262-267 - Jeremy Kepner, Ryan A. Robinett:
RadiX-Net: Structured Sparse Matrices for Deep Neural Networks. 268-274 - Ana Paula Appel:
GrAPL Keynote 3. 275
Session: Graph Analytics Frameworks
- Tim Mattson, Timothy A. Davis, Manoj Kumar, Aydin Buluç, Scott McMillan, José E. Moreira, Carl Yang:
LAGraph: A Community Effort to Collect Graph Algorithms Built on Top of the GraphBLAS. 276-284 - Pieter Cailliau, Tim Davis, Vijay Gadepally, Jeremy Kepner, Roi Lipman, Jeffrey Lovitz, Keren Ouaknine:
RedisGraph GraphBLAS Enabled Graph Database. 285-286
EduPar: NSF/TCPP Workshop on Parallel and Distributed Computing Education
- Noemi de La Rocque Rodriguez:
Introduction to EduPar 2019. 287-288 - Dilma Da Silva:
EduPar 2019 Keynote. 289 - P. Chitra, Sheikh K. Ghafoor:
Activity Based Approach for Teaching Parallel Computing: An Indian Experience. 290-295 - Leandro A. J. Marzulo, Calebe P. Bianchini, Leandro Santiago, Victor da Cruz Ferreira, Brunno F. Goldstein, Felipe M. G. França:
Teaching High Performance Computing through Parallel Programming Marathons. 296-303 - Awad A. Younis, Rajshekhar Sunderraman, Mike Metzler, Anu G. Bourgeois:
Case Study: Using Project Based Learning to Develop Parallel Programing and Soft Skills. 304-311 - Alec Goncharow, Anna Boekelheide, Matthew Mcquaigue, David Burlinson, Erik Saule, Kalpathi R. Subramanian, Jamie Payton:
Classifying Pedagogical Material to Improve Adoption of Parallel and Distributed Computing Topics. 312-319 - Neftali Watkinson, Aniket Shivam, Alexandru Nicolau, Alexander V. Veidenbaum:
Teaching Parallel Computing and Dependence Analysis with Python. 320-325 - Andrew Danner, Tia Newhall, Kevin C. Webb:
ParaVis: A Library for Visualizing and Debugging Parallel Applications. 326-333 - Benjamin Levandowski, Debbie Perouli, Dennis Brylow:
Using Embedded Xinu and the Raspberry Pi 3 to Teach Parallel Computing in Assembly Programming. 334-341 - Ozcan Ozturk, Ben Glick, Jens Mache, David P. Bunde:
Peachy Parallel Assignments (EduPar 2019). 342-346 - Deepak Aggarwal, Fei Cao, Harish Charan, Debzani Deb, Dabin Ding, Toby Dragon, Muztaba Fuad, Prashant Kumar, Hemant Joshi, Anthony Moore, Justin Shi, Michelle M. Zhu, Martina Barnas, Noemi de La Rocque Rodriguez:
EduPar Posters. 347-349
HIPS: High Level Programming Models and Supportive Environments
- Neha Gholkar, Changhee Jung:
Introduction to HIPS 2019. 350-351 - Jaejin Lee:
HIPS 2019 Keynote. 352
Session 1: Full Papers
- Artem Chikin, José Nelson Amaral, Karim Ali, Ettore Tiotto:
Toward an Analytical Performance Model to Select between GPU and CPU Execution. 353-362 - Anthony Danalis, Heike Jagode, Thomas Hérault, Piotr Luszczek, Jack J. Dongarra:
Software-Defined Events through PAPI. 363-372 - William S. Sanders, Srishti Srivastava, Ioana Banicescu:
A Container-Based Framework to Facilitate Reproducibility in Employing Stochastic Process Algebra for Modeling Parallel Computing Systems. 373-381
Session 2: Short Papers
- Jie Ren, Chunhua Liao, Dong Li:
Opera: Similarity Analysis on Data Access Patterns of OpenMP Tasks to Optimize Task Affinity. 382-386 - Marius Knaust, Florian Mayer, Thomas Steinke:
OpenMP to FPGA Offloading Prototype Using OpenCL SDK. 387-390
Session 3: Invited Talks
- Jee W. Choi:
Invited Talk 1. 391 - Torsten Hoefler:
Invited Talk 2. 392 - Pedeo Fonseca:
Invited Talk 3. 393
HPBDC: High-Performance Big Data and Cloud Computing
- Xiaoyi Lu, Jianfeng Zhan, Dhabaleswar K. Panda:
Introduction to HPBDC 2019. 394 - Pete Beckman:
HPBDC 2019 Keynote Speaker. 395
Regular Paper Session I: High-Performance Data Analytics and Management
- Benoît Gallet, Michael Gowanlock:
Load Imbalance Mitigation Optimizations for GPU-Accelerated Similarity Joins. 396-405 - Liqiang Cao, Xu Liu, Xiaowen Xu, Zhanjun Liu:
A Performance Analysis of Large Scale Scientific Computing Applications from Log Archives. 406-411 - Thaleia Dimitra Doudali, Ada Gavrilovska:
Mnemo: Boosting Memory Cost Efficiency in Hybrid Memory Systems. 412-421
Regular Paper Session II: High-Performance Machine Learning
- Geoffrey C. Fox, James A. Glazier, J. C. S. Kadupitiya, Vikram Jadhao, Minje Kim, Judy Qiu, James P. Sluka, Endre T. Somogyi, Madhav V. Marathe, Abhijin Adiga, Jiangzhuo Chen, Oliver Beckstein, Shantenu Jha:
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation. 422-429 - Xin Sunny Huang, Ang Chen, T. S. Eugene Ng:
Green, Yellow, Yield: End-Host Traffic Scheduling for Distributed Deep Learning with TensorLights. 430-437 - Qin Zhang, Li Zha, Xiaohua Wan, Boqun Cheng:
A GPU Inference System Scheduling Algorithm with Asynchronous Data Transfer. 438-445
Short Paper Session: High-Performance Data Processing Algorithms
- Aidi Pi, Wei Chen, Will Zeller, Xiaobo Zhou:
It Can Understand the Logs, Literally. 446-451 - Siddharth D. Jaiswal, Yogesh Simmhan:
A Partition-Centric Distributed Algorithm for Identifying Euler Circuits in Large Graphs. 452-459
AsHES: Accelerators and Hybrid Exascale Systems
- Antonio J. Peña:
Introduction to AsHES 2019. 460
Session 1: GPU Algorithms
- Joshua Dennis Booth, Gregory Bolet:
Javelin: A Scalable Implementation for Sparse Incomplete LU Factorization. 461-470 - Tobias Ribizel, Hartwig Anzt:
Approximate and Exact Selection on GPUs. 471-478
Session 2: Communication and Memory
- Norihisa Fujita, Ryohei Kobayashi, Yoshiki Yamaguchi, Taisuke Boku:
Parallel Processing on FPGA Combining Computation and Communication in OpenCL Programming. 479-488 - Ryohei Kobayashi, Norihisa Fujita, Yoshiki Yamaguchi, Ayumi Nakamichi, Taisuke Boku:
GPU-FPGA Heterogeneous Computing with OpenCL-Enabled Direct Memory Access. 489-498
Session 3: Performance and Energy Analysis
- Xiongwei Fei, Kenli Li, Wangdong Yang, Keqin Li:
Analysis of Energy Efficiency of a Parallel AES Algorithm for CPU-GPU Heterogeneous Platforms. 499-508 - Steven Wei Der Chien, Stefano Markidis, Vyacheslav Olshevsky, Yaroslav Bulatov, Erwin Laure, Jeffrey S. Vetter:
TensorFlow Doing HPC. 509-518
PDCO: Parallel and Distributed Combinatorics and Optimization
- Grégoire Danoy, Didier El Baz:
Introduction to PDCO 2019. 519-520
Session I: Parallel Methods and Metaheuristics
- Gabriel Duflo, Emmanuel Kieffer, Matthias R. Brust, Grégoire Danoy, Pascal Bouvry:
A GP Hyper-Heuristic Approach for Generating TSP Heuristics. 521-529 - Yuji Shinano, Daniel Rehfeldt, Tristan Gally:
An Easy Way to Build Parallel State-of-the-art Combinatorial Optimization Problem Solvers: A Computational Study on Solving Steiner Tree Problems and Mixed Integer Semidefinite Programs by using ug[SCIP-*, *]-Libraries. 530-541
Session II: Parallel Methods and Applications
- Davi Melo Morales, Antônio Augusto Chaves, Alvaro Luiz Fazenda:
Parallel Clustering Search Applied to Capacitated Centered Clustering Problem. 542-548 - Andrey Borisenko, Sergei Gorlatch:
Optimal Batch Plants Design on Parallel Systems: A Comparative Study. 549-558
Session III: Distributed Computing and Optimization
- Hiram Ponce, Paulo Vitor de Campos Souza:
Intelligent Control Navigation Emerging on Multiple Mobile Robots Applying Social Wound Treatment. 559-564 - Andrei Tchernykh, Mikhail G. Babenko, Viktor Andreevich Kuchukov, Vanessa Miranda-López, Arutyun Avetisyan, Raúl Rivera-Rodríguez, Gleb I. Radchenko:
Data Reliability and Redundancy Optimization of a Secure Multi-cloud Storage Under Uncertainty of Errors and Falsifications. 565-572 - Roger L. Goodwin:
Efficiently Computing the Power Set in a Parallel Environment. 573-579
APDCM: Advances in Parallel and Distributed Computational Models
- Jacir Luiz Bordim, Koji Nakano:
Introduction to APDCM 2019. 580-581 - Alba Cristina Magalhaes Alves de Melo:
APDCM 2019 Keynote Talk. 582
Session 1: Practical Computer Systems
- Hazem A. Abdelhafez, Christopher Zimmer, Sudharshan S. Vazhkudai, Matei Ripeanu:
AHEAD: A Tool for Projecting Next-Generation Hardware Enhancements on GPU-Accelerated Systems. 583-592 - Seung-Ho Lim, Ki-Woong Park, Kwangho Cha:
Developing an OpenSHMEM Model Over a Switchless PCIe Non-Transparent Bridge Interface. 593-602 - Hiroya Ikeda, Hiroki Yamane, Mutsumi Kimura, Yuki Shibayama, Yasuhiko Nakashima:
Evaluation of Neuromorphic Hardware using Cellular Neural Networks and Oxide Semiconductors. 603-608
Session 2: Concurrency Models
- Sayaka Kamei, Hirotsugu Kakugawa:
A Self-Stabilizing Algorithm for the Local (1, |Ni|)-Critical Section Problem with Safe Convergence. 609-618 - Gabriel Paillard, Felipe M. G. França, Christian Lavault:
A Distributed Wheel Sieve Algorithm. 619-626
Session 3: Parallel Computing Models
- Ranyelson Neres Carvalho, Jacir Luiz Bordim, Eduardo Adílio Pelinson Alchieri:
Entropy-Based DoS Attack Identification in SDN. 627-634 - Tomás Vyskocil, Hristo N. Djidjev:
Constraint Embedding for Solving Optimization Problems on Quantum Annealers. 635-644 - Sai Charan Regunta, Sai Harsh Tondomker, Kishore Kothapalli:
BRICS - Efficient Techniques for Estimating the Farness-Centrality in Parallel. 645-654 - Yosi Ben-Asher, Vladislav Tartakovsky:
Efficient Conversion of Boolean Circuits to Nondeterministic Branching Programs. 655-662 - Koji Nakano, Yasuaki Ito, Jacir Luiz Bordim:
FIFO-Based Hardware Sorters for High Bandwidth Memory. 663-672
PDSEC: Parallel and Distributed Scientific and Engineering Computing
- Ioana Banicescu, Peter Strazdins, Eric Aubanel, Raphaël Couturier, Suzanne Michelle Shontz, Thomas Rauber, Gudula Rünger, Laurence T. Yang:
Introduction to PDSEC-19. 673-674 - Cynthia A. Phillips:
PDSEC-19 Keynote. 675
Session 1: Best Paper
- Amin Totounferoush, Neda Ebrahimi Pour, Juri Schröder, Sabine Roller, Miriam Mehl:
A New Load Balancing Approach for Coupled Multi-Physics Simulations. 676-682
Session 2: Algorithms and Simulation
- Anshu Dubey, Saurabh Chawdhary, James Austin Harris, Bronson Messer:
Simulation Planning Using Component Based Cost Model. 683-688 - Ahmed Eleliemy, Florina M. Ciorba:
Hierarchical Dynamic Loop Self-Scheduling on Distributed-Memory Systems Using an MPI+MPI Approach. 689-697 - Daniel Hugo Cámpora Pérez, Niko Neufeld, Agustin Riscos-Núñez:
A Fast Local Algorithm for Track Reconstruction on Parallel Architectures. 698-707
Session 3: Applications
- Leonardo Gasparini, José Roberto Pereira Rodrigues, Cesar Conopoima, Douglas Adriano Augusto, Michael de Souza, Luiz Mariano Carvalho, Paulo Goldfeld, João Paulo Ramirez, Jairo Panetta:
A Linear Solver Framework for Flow and Geomechanics Reservoir Simulation. 708-717 - Paul Godard, Vincent Loechner, Cédric Bastoul, Frédéric Soulier, Guillaume Muller:
A Flexible and Distributed Runtime System for High-Throughput Constrained Data Streams Generation. 718-728 - Fan Yu, Peter Strazdins, Jörg Henrichs, Tim Pugh:
Shared Memory and GPU Parallelization of an Operational Atmospheric Transport and Dispersion Application. 729-738
Session 4: The Future of HPC
- Hartwig Anzt, Goran Flegar:
Are we Doing the Right Thing? - A Critical Analysis of the Academic HPC Community. 739-745
iWAPT: International Workshop on Automatic Performance Tunings
- Akihiro Fujii:
Introduction to IWAPT 2019. 746 - Silvio Stanzani:
IWAPT 2019 Keynote Talk. 747
AT Techniques
- Fabio Alexander Gratl, Steffen Seckler, Nikola Tchipev, Hans-Joachim Bungartz, Philipp Neumann:
AutoPas: Auto-Tuning for Particle Simulations. 748-757