Accepted papers

• Xueying Wang, Guangli Li, Xiao Dong, Jiansong Li, Lei Liu and Xiaobing Feng, Accelerating Deep Learning Inference with Cross-Layer Data Reuse on GPUs (paper id:16)
• Xiao Meng and Lukasz Golab, Parallel Scheduling of Data-Intensive Tasks (paper id:18)
• Jonas Ellert, Johannes Fischer and Nodari Sitchinava, LCP-Aware Parallel String Sorting (paper id:31)
• Alexandro Baldassin, Rafael Murari, João Paulo Carvalho, Guido Araujo, Daniel Castro, João Barreto and Paolo Romano, NVPhTM: An Efficient Phase-Based Transactional System for Non-Volatile Memory (paper id:33)
• Giuseppe Antonio Di Luna, Paola Flocchini, Nicola Santoro, Giovanni Viglietta and Yukiko Yamauchi, Mobile RAM and Shape Formation by Programmable Particles (paper id:35)
• Elvis Rojas, Esteban Meneses Rojas, Terry Jones and Don Maxwell, Towards a Model to Estimate the Reliability of Large-scale Hybrid Supercomputers (paper id:37)
• Maha Alsayasneh and Noel De Palma, A Learning-Based Approach for Evaluating the Capacity of Data Processing Pipelines (paper id:43)
• Ming-Chang Lee, Jia-Chun Lin and Ernst Gunnar Gran, Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing (paper id:46)
• Tobias Castanet, Olivier Beaumont, Nicolas Hanusse and Corentin Travers, Approximation Algorithm for Estimating Distances in Distributed Virtual Environments (paper id:57)
• Najeeb Ahmad, Buse Yilmaz and Didem Unat, A Prediction Framework for Fast Sparse Triangular Solves (paper id:62)
• Antoni Navarro, Arthur F. Lorenzon, Eduard Ayguadé and Vicenç Beltran, Optimizing Resource Management through Prediction-based Policies (paper id:65)
• Jorge Ejarque, Marta Bertran, Javier Álvarez Cid-Fuentes, Javier Conejero and Rosa M. Badia, Managing Failures in task-based parallel workflows in distributed computing environments (paper id:72)
• Olivier Beaumont, Julien Langou, Willy Quach and Alena Shilova, A Makespan Lower Bound for the Scheduling of the Tiled Cholesky Factorization based on ALAP scheduling (paper id:75)
• Ismail Elhelw, Rutger Hofman and Henri Bal, Accelerating Overlapping Community Detection: Performance Tuning a Stochastic Gradient Markov Chain Monte Carlo Algorithm (paper id:76)
• Irvan Jahja, Haifeng Yu and Ruomu Hou, On the Power of Randomization in Distributed Algorithms in Dynamic Networks with Adaptive Adversaries (paper id:86)
• Dhruv Garg, Prathik Shirolkar, Anshu Shukla and Yogesh Simmhan, TorqueDB: Distributed Querying of Time-series Data from Edge-local Storage (paper id:90)
• Haewon Jeong, Yaoqing Yang, Christian Engelmann, Vipul Gupta, Tze Meng Low, Pulkit Grover, Viveck Cadambe and Kannan Ramchandran, 3D Coded SUMMA: Communication-Efficient and Robust Parallel Matrix Multiplication (paper id:92)
• Fritz Goebel, Hartwig Anzt, Terry Cojean, Goran Flegar and Enrique S. Quintana-Orti, Multiprecision block-Jacobi for Iterative Triangular Solves (paper id:95)
• Fabian Schrammel, Florian Renk, Arya Mazaheri and Felix Wolf, Efficient Ephemeris Models for Spacecraft Trajectory Simulations on GPUs (paper id:101)
• Cristóbal Camarero, Carmen Martinez, Ramon Beivide and Javier Corral, Modelling Standard and Randomized Slimmed Folded Clos Networks (paper id:103)
• Nicolas Morew, Mohammad Norouzi, Ali Jannesari and Felix Wolf, Skipping Non-essential Instructions Makes Data-dependence Profiling Faster (paper id:105)
• Bertil Schmidt and Christian Hundt, cuDTW++: Ultra-Fast Dynamic Time Warping on CUDA-enabled GPUs (paper id:108)
• Bo Wang, Christian Terboven, Matthias Mueller and Julian Miller, Operation-Aware Power Capping (paper id:110)
• Olivier Beaumont, Lionel Eyraud-Dubois and Alena Shilova, Optimal GPU-CPU Offloading Strategies for Deep Neural Network Training (paper id:112)
• Tim Jammer, Christian Iwainsky and Christian Bischof, A Comparison of the Scalability of OpenMP Implementations (paper id:121)
• Lars van den Haak, Trevor McDonnel, Gabriele Keller and Ivo Gabe de Wolff, Accelerating Nested Data Parallelism: Preserving Regularity (paper id:124)
• Prithayan Barua, Jisheng Zhao and Vivek Sarkar, OmpOptiMem: Optimized Memory Movement for Heterogeneous Computing (paper id:135)
• Simone Economo, Sara Royuela Alcázar, Eduard Ayguadé Parra and Vicenç Beltran Querol, A tool-chain to verify the parallelization of OmpSs-2 applications (paper id:145)
• Qinglin Wang, Dongsheng Li, Xiandong Huang, Siqi Shen, Songzhu Mei and Jie Liu, Optimizing FFT-based convolution on ARMv8 multi-core CPUs (paper id:153)
• Changjiang Gou, Ali Al Zoobi, Anne Benoit, Mathieu Faverge, Loris Marchal, Grégoire Pichon and Pierre Ramet, Improving mapping for sparse direct solvers: A trade-off between data locality and load balancing (paper id:163)
• Rafael Campos, Diogo Marques, Sergio Santander-Jiménez, Leonel Sousa and Aleksandar Ilic, Heterogeneous CPU+iGPU Processing for Efficient Epistasis Detection (paper id:164)
• Andrei Poenaru and Simon McIntosh-Smith, Evaluating the Effectiveness of a Vector-Length-Agnostic Instruction Set (paper id:165)
• Alexandre Denis, Emmanuel Jeannot, Philippe Swartvagher and Samuel Thibault, Using Dynamic Broadcasts to improve Task-Based Runtime Performances (paper id:175)
• Pedro Sanches, João A. Silva and Hervé Paulino, Data-Centric Distributed Computing on Networks of Mobile Devices (paper id:177)
• Sohan Lal, Aksel Alpay, Philip Salzmann, Biagio Cosenza, Alexander Hirsch, Nicolai Stawinoga, Peter Thoman, Thomas Fahringer and Vincent Heuveline, SYCL-Bench: A Versatile Single-Source Benchmark Suite for Heterogeneous Computing (paper id:181)
• S. Saberi, A. Vogel and G. Meschke, Parallel Finite Cell Method with Adaptive Geometric Multigrid (paper id:192)
• Sergi Vila Almenara, Josep Lluis Lerida, Fernando Cores, Fernando Guirado and Fabio Verdi, WPSP: a multi-correlated weighted policy for VM selection and migration for Cloud computing (paper id:194)
• Pedro Moreno, Miguel Areias and Ricardo Rocha, A Compression-Based Design for Higher Throughput in a Lock-Free Hash Map (paper id:210)
• Tariq Alturkestani, Hatem Ltaief and David Keyes, Maximizing I/O Bandwidth for Reverse Time Migration on Heterogeneous Large-Scale Systems (paper id:220)