Abstract is missing.
- Introduction to HCW 2019Sudeep Pasricha. 1 [doi]
- Message from the HCW Steering Committee ChairBehrooz A. Shirazi. 2 [doi]
- Message from the HCW General ChairSudeep Pasricha. 3 [doi]
- Message from the HCW Program Committee ChairJohn K. Antonio. 4 [doi]
- HCW 2019 Keynote AddressViktor K. Prasanna. 5 [doi]
- Improving Robustness of Heterogeneous Serverless Computing Systems via Probabilistic Task PruningChavit Denninnart, James Gentry, Mohsen Amini Salehi. 6-15 [doi]
- Influence of Tasks Duration Variability on Task-Based Runtime SchedulersOlivier Beaumont, Lionel Eyraud-Dubois, Yihong Gao. 16-25 [doi]
- Heterogeneous Active Messages for Offloading on the NEC SX-Aurora TSUBASAMatthias Noack, Erich Focht, Thomas Steinke. 26-35 [doi]
- A Lock-Free Skiplist for Integrated Graphics Processing UnitsJoel Fuentes, Wei-Yu Chen, Guei-Yuan Lueh, Isaac D. Scherson. 36-46 [doi]
- Programmable Acceleration for Sparse Matrices in a Data-Movement Limited WorldArjun Rawal, Yuanwei Fang, Andrew A. Chien. 47-56 [doi]
- SummaGen: Parallel Matrix-Matrix Multiplication Based on Non-rectangular Partitions for Heterogeneous HPC PlatformsStephen Patton, Hamidreza Khaleghzadeh, Ravi Reddy Manumachu, Alexey L. Lastovetsky. 57-68 [doi]
- Introduction to RAW 2019Fernanda Lima, Oliver Diessel. 69 [doi]
- RAW 2019 Keynote SpeakerLuigi Carro. 70 [doi]
- Evaluation of Circuits on the Reconfigurable MeshYosi Ben-Asher, Esti Stein. 71-74 [doi]
- VirtP4: An Architecture for P4 VirtualizationMateus Saquetti, Guilherme Bueno, Weverton Cordeiro, José Rodrigo Azambuja. 75-78 [doi]
- HBLast: An Open-Source FPGA Library for DNA Sequencing AccelerationMarzhan Bekbolat, Sabina Kairatova, Ayan Shymyrbay, Kizheppatt Vipin. 79-82 [doi]
- Inspection of Partial Bitstreams for FPGAs Using Artificial Neural NetworksJens Rettkowski, Safdar Mahmood, Arij Shallufa, Michael Hübner, Diana Göhringer. 83-86 [doi]
- Smart-Cache: Optimising Memory Accesses for Arbitrary Boundaries and Stencils on FPGAsSyed Waqar Nabi, Wim Vanderbauwhede. 87-90 [doi]
- A Case Study for an Accelerated DCNN on FPGA-Based Embedded Distributed SystemAnna Maria Nestorov, Alberto Scolari, Enrico Reggiani, Luca Stornaiuolo, Marco D. Santambrogio. 91-94 [doi]
- Deep Learning in Reconfigurable Hardware: A SurveyMauricio Acconcia Dias, Daniel Augusto Pagi Ferreira. 95-98 [doi]
- An Approach for Mapping Periodic Real-Time Tasks to Reconfigurable HardwareZakarya Guettatfi, Marco Platzner, Omar Kermia, Abdelhakim Khouas. 99-106 [doi]
- Pareto Optimal Design Space Exploration for Accelerated CNN on FPGAEnrico Reggiani, Marco Rabozzi, Anna Maria Nestorov, Alberto Scolari, Luca Stornaiuolo, Marco D. Santambrogio. 107-114 [doi]
- High-Level Synthesis Oriented Restructuring of Functions with While LoopsMarkus Weinhardt. 115-122 [doi]
- An Automated Scheduler-Based Approach for the Development of Cryptoprocessors for Pairing-Based CryptosystemsTheodore Winograd, Rabia Shahid, Kris Gaj. 123-131 [doi]
- FPGA-Based Embedded System Implementation of Audio Signal AlignmentLuca Stornaiuolo, Massimo Perini, Marco D. Santambrogio, Donatella Sciuto. 132-139 [doi]
- Experimental Applications on SRAM-Based FPGA for the NanosatC-BR2 Scientific MissionFabio Benevenuti, Eduardo Chielle, Jorge L. Tonfat, Lucas A. Tambara, Fernanda Lima Kastensmidt, Carlos Alberto Zaffari, João Baptista dos Santos Martins, Otávio Santos Cupertino Durão. 140-146 [doi]
- Automatic Tool-Flow for Mapping Applications to an Application-Specific CGRA ArchitectureFlorian Fricke, André Werner, Keyvan Shahin, Florian Werner 0002, Michael Hübner. 147-154 [doi]
- FPGA-Assisted Deterministic Routing for FPGAsDario Korolija, Mirjana Stojilovic. 155-162 [doi]
- Introduction to HiCOMB 2019Alba Cristina Magalhaes Alves de Melo, Ananth Kalyanaraman. 163-164 [doi]
- HiCOMB 2019 Keynote SpeakerAjay K. Royyuru. 165 [doi]
- Accelerating Clustering using Approximate Spanning Tree and Prime Number Based FilterDhananjai Rao, Sutharzan Sreeskandarajan, Chun Liang. 166-174 [doi]
- Data Distribution for Phylogenetic Inference with Site Repeats via Judicious Hypergraph PartitioningIvo Baar, Lukas Hübner, Peter Oettig, Adrian Zapletal, Sebastian Schlag, Alexandros Stamatakis, Benoit Morel. 175-184 [doi]
- ArrOW: Experiencing a Parallel Cloud-Based De Novo Assembler WorkflowKary A. C. S. Ocaña, Thaylon Guedes, Daniel de Oliveira 0001. 185-190 [doi]
- LBE: A Computational Load Balancing Algorithm for Speeding up Parallel Peptide Search in Mass-Spectrometry Based ProteomicsMuhammad Haseeb, Fatima Afzali, Fahad Saeed. 191-198 [doi]
- A Portable GPU Framework for SNP ComparisonsElliott Binder, Tze Meng Low, Doru-Thom Popovici. 199-208 [doi]
- Parallel Decompression of Gzip-Compressed Files and Random Access to DNA SequencesMaël Kerbiriou, Rayan Chikhi. 209-217 [doi]
- Introduction to GrAPL 2019Tim Mattson, Antonino Tumeo. 218-219 [doi]
- GrAPL Keynote 1Keshav Pingali. 220 [doi]
- You've Got Mail (YGM): Building Missing Asynchronous Communication PrimitivesBenjamin Priest, Trevor Steil, Geoffrey Sanders, Roger Pearce. 221-230 [doi]
- Graph Coloring on the GPUMuhammad Osama, Minh Truong, Carl Yang, Aydin Buluç, John D. Owens. 231-240 [doi]
- Delta-Stepping SSSP: From Vertices and Edges to GraphBLAS ImplementationsUpasana Sridhar, Mark Blanco, Rahul Mayuranath, Daniele G. Spampinato, Tze Meng Low, Scott McMillan. 241-250 [doi]
- Distributed Kronecker Graph Generation with Ground Truth of Many Graph PropertiesTrevor Steil, Benjamin W. Priest, Geoffrey Sanders, Roger Pearce, Timothy La Fond, Keita Iwabuchi. 251-260 [doi]
- GrAPL Keynote 2Bruno Ribeiro. 261 [doi]
- Compound Analytics using Combinatorics for Feature Selection: A Case Study in Biomarker DetectionRonald D. Hagan, Brett D. Hagan, Charles A. Phillips, Bradley J. Rhodes, Michael A. Langston. 262-267 [doi]
- RadiX-Net: Structured Sparse Matrices for Deep Neural NetworksJeremy Kepner, Ryan A. Robinett. 268-274 [doi]
- GrAPL Keynote 3Ana Paula Appel. 275 [doi]
- LAGraph: A Community Effort to Collect Graph Algorithms Built on Top of the GraphBLASTim Mattson, Timothy A. Davis, Manoj Kumar, Aydin Buluç, Scott McMillan, José E. Moreira, Carl Yang. 276-284 [doi]
- RedisGraph GraphBLAS Enabled Graph DatabasePieter Cailliau, Tim Davis, Vijay Gadepally, Jeremy Kepner, Roi Lipman, Jeffrey Lovitz, Keren Ouaknine. 285-286 [doi]
- Introduction to EduPar 2019Noemi Rodriguez. 287-288 [doi]
- EduPar 2019 KeynoteDilma Da Silva. 289 [doi]
- Activity Based Approach for Teaching Parallel Computing: An Indian ExperienceChitra P, Sheikh K. Ghafoor. 290-295 [doi]
- Teaching High Performance Computing through Parallel Programming MarathonsLeandro A. J. Marzulo, Calebe Bianchini, Leandro Santiago, Victor C. Ferreira, Brunno F. Goldstein, Felipe M. G. França. 296-303 [doi]
- Case Study: Using Project Based Learning to Develop Parallel Programing and Soft SkillsAwad A. Younis, Rajshekhar Sunderraman, Mike Metzler, Anu G. Bourgeois. 304-311 [doi]
- Classifying Pedagogical Material to Improve Adoption of Parallel and Distributed Computing TopicsAlec Goncharow, Anna Boekelheide, Matthew Mcquaigue, David Burlinson, Erik Saule, Kalpathi R. Subramanian, Jamie Payton. 312-319 [doi]
- Teaching Parallel Computing and Dependence Analysis with PythonNeftali Watkinson, Aniket Shivam, Alexandru Nicolau, Alexander V. Veidenbaum. 320-325 [doi]
- ParaVis: A Library for Visualizing and Debugging Parallel ApplicationsAndrew Danner, Tia Newhall, Kevin C. Webb. 326-333 [doi]
- Using Embedded Xinu and the Raspberry Pi 3 to Teach Parallel Computing in Assembly ProgrammingBenjamin Levandowski, Debbie Perouli, Dennis Brylow. 334-341 [doi]
- Peachy Parallel Assignments (EduPar 2019)Ozcan Ozturk, Ben Glick, Jens Mache, David P. Bunde. 342-346 [doi]
- EduPar PostersDeepak 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 Rodriguez. 347-349 [doi]
- Introduction to HIPS 2019Neha Gholkar, Changhee Jung. 350-351 [doi]
- HIPS 2019 KeynoteJaejin Lee. 352 [doi]
- Toward an Analytical Performance Model to Select between GPU and CPU ExecutionArtem Chikin, José Nelson Amaral, Karim Ali, Ettore Tiotto. 353-362 [doi]
- Software-Defined Events through PAPIAnthony Danalis, Heike Jagode, Thomas Hérault, Piotr Luszczek, Jack J. Dongarra. 363-372 [doi]
- A Container-Based Framework to Facilitate Reproducibility in Employing Stochastic Process Algebra for Modeling Parallel Computing SystemsWilliam S. Sanders, Srishti Srivastava, Ioana Banicescu. 373-381 [doi]
- Opera: Similarity Analysis on Data Access Patterns of OpenMP Tasks to Optimize Task AffinityJie Ren, Chunhua Liao, Dong Li. 382-386 [doi]
- OpenMP to FPGA Offloading Prototype Using OpenCL SDKMarius Knaust, Florian Mayer, Thomas Steinke. 387-390 [doi]
- Invited Talk 1Jee Choi. 391 [doi]
- Invited Talk 2Torsten Hoefler. 392 [doi]
- Invited Talk 3Pedeo Fonseca. 393 [doi]
- Introduction to HPBDC 2019Xiaoyi Lu, Jianfeng Zhan, Dhabaleswar K. Panda. 394 [doi]
- HPBDC 2019 Keynote SpeakerPete Beckman. 395 [doi]
- Load Imbalance Mitigation Optimizations for GPU-Accelerated Similarity JoinsBenoît Gallet, Michael Gowanlock. 396-405 [doi]
- A Performance Analysis of Large Scale Scientific Computing Applications from Log ArchivesLiqiang Cao, Xu Liu, Xiaowen Xu, Zhanjun Liu. 406-411 [doi]
- Mnemo: Boosting Memory Cost Efficiency in Hybrid Memory SystemsThaleia Dimitra Doudali, Ada Gavrilovska. 412-421 [doi]
- Learning Everywhere: Pervasive Machine Learning for Effective High-Performance ComputationGeoffrey C. Fox, James A. Glazier, J. C. S. Kadupitiya, Vikram Jadhao, Minje Kim, Judy Qiu, James P. Sluka, Endre Somogy, Madhav Marathe, Abhijin Adiga, Jiangzhuo Chen, Oliver Beckstein, Shantenu Jha. 422-429 [doi]
- Green, Yellow, Yield: End-Host Traffic Scheduling for Distributed Deep Learning with TensorLightsXin Sunny Huang, Ang Chen, T. S. Eugene Ng. 430-437 [doi]
- A GPU Inference System Scheduling Algorithm with Asynchronous Data TransferQin Zhang, Li Zha, Xiaohua Wan, Boqun Cheng. 438-445 [doi]
- It Can Understand the Logs, LiterallyAidi Pi, Wei Chen 0038, Will Zeller, Xiaobo Zhou 0002. 446-451 [doi]
- A Partition-Centric Distributed Algorithm for Identifying Euler Circuits in Large GraphsSiddharth D. Jaiswal, Yogesh Simmhan. 452-459 [doi]
- Introduction to AsHES 2019Antonio J. Peña. 460 [doi]
- Javelin: A Scalable Implementation for Sparse Incomplete LU FactorizationJoshua Dennis Booth, Gregory Bolet. 461-470 [doi]
- Approximate and Exact Selection on GPUsTobias Ribizel, Hartwig Anzt. 471-478 [doi]
- Parallel Processing on FPGA Combining Computation and Communication in OpenCL ProgrammingNorihisa Fujita, Ryohei Kobayashi, Yoshiki Yamaguchi, Taisuke Boku. 479-488 [doi]
- GPU-FPGA Heterogeneous Computing with OpenCL-Enabled Direct Memory AccessRyohei Kobayashi, Norihisa Fujita, Yoshiki Yamaguchi, Ayumi Nakamichi, Taisuke Boku. 489-498 [doi]
- Analysis of Energy Efficiency of a Parallel AES Algorithm for CPU-GPU Heterogeneous PlatformsXiongwei Fei, Kenli Li, Wangdong Yang, Keqin Li. 499-508 [doi]
- TensorFlow Doing HPCSteven Wei Der Chien, Stefano Markidis, Vyacheslav Olshevsky, Yaroslav Bulatov, Erwin Laure, Jeffrey S. Vetter. 509-518 [doi]
- Introduction to PDCO 2019Grégoire Danoy, Didier El Baz. 519-520 [doi]
- A GP Hyper-Heuristic Approach for Generating TSP HeuristicsGabriel Duflo, Emmanuel Kieffer, Matthias R. Brust, Grégoire Danoy, Pascal Bouvry. 521-529 [doi]
- 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-*, *]-LibrariesYuji Shinano, Daniel Rehfeldt, Tristan Gally. 530-541 [doi]
- Parallel Clustering Search Applied to Capacitated Centered Clustering ProblemDavi Melo Morales, Antonio Augusto Chaves, Alvaro Luiz Fazenda. 542-548 [doi]
- Optimal Batch Plants Design on Parallel Systems: A Comparative StudyAndrey Borisenko, Sergei Gorlatch. 549-558 [doi]
- Intelligent Control Navigation Emerging on Multiple Mobile Robots Applying Social Wound TreatmentHiram Ponce, Paulo Vitor C. Souza. 559-564 [doi]
- Data Reliability and Redundancy Optimization of a Secure Multi-cloud Storage Under Uncertainty of Errors and FalsificationsAndrei Tchernykh, Mikhail G. Babenko, Viktor Andreevich Kuchukov, Vanessa Miranda-López, Arutyun Avetisyan, Raul Rivera-Rodriguez, Gleb I. Radchenko. 565-572 [doi]
- Efficiently Computing the Power Set in a Parallel EnvironmentRoger L. Goodwin. 573-579 [doi]
- Introduction to APDCM 2019Jacir Luiz Bordim, Koji Nakano. 580-581 [doi]
- APDCM 2019 Keynote TalkAlba Cristina Melo. 582 [doi]
- AHEAD: A Tool for Projecting Next-Generation Hardware Enhancements on GPU-Accelerated SystemsHazem A. Abdelhafez, Christopher Zimmer, Sudharshan S. Vazhkudai, Matei Ripeanu. 583-592 [doi]
- Developing an OpenSHMEM Model Over a Switchless PCIe Non-Transparent Bridge InterfaceSeung Ho Lim, Ki-Woong Park, Kwangho Cha. 593-602 [doi]
- Evaluation of Neuromorphic Hardware using Cellular Neural Networks and Oxide SemiconductorsHiroya Ikeda, Hiroki Yamane, Mutsumi Kimura, Yuki Shibayama, Yasuhiko Nakashima. 603-608 [doi]
- A Self-Stabilizing Algorithm for the Local (1, |Ni|)-Critical Section Problem with Safe ConvergenceSayaka Kamei, Hirotsugu Kakugawa. 609-618 [doi]
- A Distributed Wheel Sieve AlgorithmGabriel Paillard, Felipe M. G. França, Christian Lavault. 619-626 [doi]
- Entropy-Based DoS Attack Identification in SDNRanyelson Neres Carvalho, Jacir Luiz Bordim, Eduardo Adilio Pelinson Alchieri. 627-634 [doi]
- Constraint Embedding for Solving Optimization Problems on Quantum AnnealersTomás Vyskocil, Hristo Djidjev. 635-644 [doi]
- BRICS - Efficient Techniques for Estimating the Farness-Centrality in ParallelSai Charan Regunta, Sai Harsh Tondomker, Kishore Kothapalli. 645-654 [doi]
- Efficient Conversion of Boolean Circuits to Nondeterministic Branching ProgramsYosi Ben-Asher, Vladislav Tartakovsky. 655-662 [doi]
- FIFO-Based Hardware Sorters for High Bandwidth MemoryKoji Nakano, Yasuaki Ito, Jacir Luiz Bordim. 663-672 [doi]
- Introduction to PDSEC-19Ioana Banicescu, Peter Strazdins, Eric Aubanel, Raphaël Couturier, Suzanne Michelle Shontz, Thomas Rauber, Gudula Rünger, Laurence T. Yang. 673-674 [doi]
- PDSEC-19 KeynoteCynthia A. Phillips. 675 [doi]
- A New Load Balancing Approach for Coupled Multi-Physics SimulationsAmin Totounferoush, Neda Ebrahimi Pour, Juri Schröder, Sabine Roller, Miriam Mehl. 676-682 [doi]
- Simulation Planning Using Component Based Cost ModelAnshu Dubey, Saurabh Chawdhary, James Austin Harris, Bronson Messer. 683-688 [doi]
- Hierarchical Dynamic Loop Self-Scheduling on Distributed-Memory Systems Using an MPI+MPI ApproachAhmed Eleliemy, Florina M. Ciorba. 689-697 [doi]
- A Fast Local Algorithm for Track Reconstruction on Parallel ArchitecturesDaniel Hugo Cámpora Pérez, Niko Neufeld, Agustin Riscos Nuñez. 698-707 [doi]
- A Linear Solver Framework for Flow and Geomechanics Reservoir SimulationLeonardo Gasparini, José Roberto Pereira Rodrigues, Cesar Conopoima, Douglas Adriano Augusto, Michael de Souza, Luiz Mariano Carvalho, Paulo Goldfeld, João Paulo Ramirez, Jairo Panetta. 708-717 [doi]
- A Flexible and Distributed Runtime System for High-Throughput Constrained Data Streams GenerationPaul Godard, Vincent Loechner, Cédric Bastoul, Frédéric Soulier, Guillaume Muller. 718-728 [doi]
- Shared Memory and GPU Parallelization of an Operational Atmospheric Transport and Dispersion ApplicationFan Yu, Peter Strazdins, Jörg Henrichs, Tim Pugh. 729-738 [doi]
- Are we Doing the Right Thing? - A Critical Analysis of the Academic HPC CommunityHartwig Anzt, Goran Flegar. 739-745 [doi]
- Introduction to IWAPT 2019Akihiro Fujii. 746 [doi]
- IWAPT 2019 Keynote TalkSilvio Stanzani. 747 [doi]
- AutoPas: Auto-Tuning for Particle SimulationsFabio Alexander Gratl, Steffen Seckler, Nikola Tchipev, Hans-Joachim Bungartz, Philipp Neumann. 748-757 [doi]
- C++ Data Layout Abstractions through Proxy TypesFlorian Wende. 758-767 [doi]
- An Appropriate Computing System and Its System Parameters Selection Based on Bottleneck Prediction of ApplicationsKazuhiko Komatsu, Takumi Kishitani, Masayuki Sato 0001, Hiroaki Kobayashi. 768-777 [doi]
- Learning with Analytical ModelsHuda Ibeid, Siping Meng, Oliver Dobon, Luke Olson, William Gropp. 778-786 [doi]
- Performance Evaluation of the MODYLAS Application on Modern Multi-core and Many-Core EnvironmentsSatoshi Ohshima, Soichiro Suzuki, Tatsuya Sakashita, Masao Ogino, Takahiro Katagiri, Yoshimichi Andoh. 787-796 [doi]
- An Accurate Tool for Modeling, Fingerprinting, Comparison, and Clustering of Parallel Applications Based on Performance CountersVitor Ramos, Carlos Valderrama, Samuel Xavier de Souza, Pierre Manneback. 797-804 [doi]
- Introduction to MPP 2019Leandro A. J. Marzulo, Felipe M. G. França. 805-807 [doi]
- MPP Keynote 1Sandip Kundu. 808 [doi]
- Exploring the Equivalence between Dynamic Dataflow Model and Gamma - General Abstract Model for Multiset mAnipulationRui de Mello, Leandro S. Araujo, Tiago A. O. Alves, Leandro A. J. Marzulo, Gabriel Paillard, Felipe M. G. França. 809-816 [doi]
- A Reinforcement Learning Scheduling Strategy for Parallel Cloud-Based WorkflowsAndré Nascimento, Victor Olimpio, Vítor Silva, Aline Paes, Daniel de Oliveira 0001. 817-824 [doi]
- MPP Keynote 2Vladimir Alves. 825 [doi]
- A Re-Configurable Ray-Triangle Vector Accelerator for Emerging Fog ArchitecturesAdrianno Sampaio, Alexandre da Costa Sena, Alexandre Solon Nery. 826-833 [doi]
- Stream Processing on Multi-cores with GPUs: Parallel Programming Models' ChallengesDinei A. Rockenbach, Charles Michael Stein, Dalvan Griebler, Gabriele Mencagli, Massimo Torquati, Marco Danelutto, Luiz Gustavo Fernandes. 834-841 [doi]
- Neural Network Frameworks. Comparison on Public Transportation PredictionCristina Heghedus, Antorweep Chakravorty, Chunming Rong. 842-849 [doi]
- Instrumental Data Management and Scientific Workflow Execution: the CEA Case StudyFrancieli Zanon Boito, Jean-François Méhaut, Thierry Deutsch, Brice Videau, Frédéric Desprez. 850-857 [doi]
- Introduction to SNACS 2019Matthew G. F. Dosanjh, Ryan E. Grant, Taylor L. Groves. 858 [doi]
- Simulation Framework for Studying Optical Cable Failures in Dragonfly TopologiesTiffany Connors, Taylor L. Groves, Tony Quan, K. Scott Hemmert. 859-864 [doi]
- Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community InfrastructureIlkay Altintas, Kyle Marcus, Isaac Nealey, Scott L. Sellars, John Graham, Dima Mishin, Joel Polizzi, Daniel Crawl, Thomas A. DeFanti, Larry Smarr. 865-873 [doi]
- Introduction to PAISE 2019Peter H. Beckman, Rajesh Sankaran. 874-875 [doi]
- PAISE 2019 Keynote SpeakerIlkay Altintas. 876 [doi]
- EdgeL^3: Compressing L^3-Net for Mote Scale Urban Noise MonitoringSangeeta Kumari, Dhrubojyoti Roy, Mark Cartwright, Juan Pablo Bello, Anish Arora. 877-884 [doi]
- An Edge-Based Framework for Enabling Data-Driven Pipelines for IoT SystemsEduard Gibert Renart, Daniel Balouek-Thomert, Manish Parashar. 885-894 [doi]
- Transparent Access to 5G Edge Computing ServicesJosef Hammer, Philipp Moll, Hermann Hellwagner. 895-898 [doi]
- Training on the Edge: The why and the howNavjot Kukreja, Alena Shilova, Olivier Beaumont, Jan Hückelheim, Nicola Ferrier, Paul D. Hovland, Gerard Gorman. 899-903 [doi]
- Towards a Methodology for Benchmarking Edge Processing FrameworksPedro Silva, Alexandru Costan, Gabriel Antoniu. 904-907 [doi]
- Introduction to RADR 2019Peter H. Beckman, Emmanuel Jeannot, Swann Perarnau. 908-910 [doi]
- SmarTmem: Intelligent Management of Transcendent Memory in a Virtualized ServerLuis A. Garrido, Rajiv Nishtala, Paul M. Carpenter. 911-920 [doi]
- Invited Talk 1Anshu Dubey. 921 [doi]
- Invited Talk 2Balazs Gerofi. 922 [doi]
- Invited Talk 3Ron Brightwell. 923 [doi]
- Introduction to ScaDL 2019Gauri Joshi, Ashish Verma. 924 [doi]
- ScaDL 2019 Keynote TalkMarc Snir. 925 [doi]
- Random Walk Gradient Descent for Decentralized Learning on GraphsGhadir Ayache, Salim El Rouayheb. 926-931 [doi]
- Invited Talk 1Wagner Miera. 932 [doi]
- ClPy: A NumPy-Compatible Library Accelerated with OpenCLTomokazu Higuchi, Naoki Yoshifuji, Tomoya Sakai, Yoriyuki Kitta, Ryousei Takano, Tsutomu Ikegami, Kenjiro Taura. 933-940 [doi]
- Towards Native Execution of Deep Learning on a Leadership-Class HPC SystemSrikanth B. Yoginath, Maksudul Alam, Arvind Ramanathan, Debsindhu Bhowmik, Nouamane Laanait, Kalyan S. Perumalla. 941-950 [doi]
- Invited Talk 2Pedro Silva. 951 [doi]
- Compression of Deep Neural Networks by Combining Pruning and Low Rank DecompositionSaurabh Goyal, Anamitra Roy Choudhury, Vivek Sharma. 952-958 [doi]
- Invited Talk 3Marco Aurelio Stelmar Netto. 959 [doi]