| 2018 | 30th International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2018, Lyon, France, September 24-27, 2018 |
| 2018 | A Batch Task Migration Approach for Decentralized Global Rescheduling. Vinicius Freitas, Alexandre de Limas Santana, Márcio Castro, Laércio Lima Pilla |
| 2018 | A Case Study on Optimizing Accurate Half Precision Average. Kenny Peou, Alan Kelly, Joel Falcou, Cécile Germain |
| 2018 | A Fault-Tolerant Agent-Based Architecture for Transient Servers in Fog Computing. Jose Pergentino Araujo Neto, Donald M. Pianto, Célia Ghedini Ralha |
| 2018 | A Jaccard Weights Kernel Leveraging Independent Thread Scheduling on GPUs. Hartwig Anzt, Jack J. Dongarra |
| 2018 | A Machine Learning Approach for Parameter Screening in Earthquake Simulation. Marisol Monterrubio Velasco, José Carlos Carrasco-Jiménez, Octavio Castillo Reyes, Fernando M. Cucchietti, Josep de la Puente |
| 2018 | A New Efficient Parallel Algorithm for Minimum Spanning Tree. Jucele Franca de Alencar Vasconcellos, Edson Norberto Cáceres, Henrique Mongelli, Siang Wun Song |
| 2018 | A Novel Broker-Based Hierarchical Authentication Scheme in Proxy Mobile IPv6 Networks. Su-Hwan Jang, Jongpil Jeong, Byungjun Park |
| 2018 | A Scalability and Sensitivity Study of Parallel Geometric Algorithms for Graph Partitioning. Shad Kirmani, Hongyang Sun, Padma Raghavan |
| 2018 | ADeLe: Rapid Architectural Simulation for Approximate Hardware. Isaías B. Felzmann, Matheus Martins Susin, Liana Dessandre Duenha, Rodolfo Azevedo, Lucas Francisco Wanner |
| 2018 | Accelerating Deep Neural Network Training for Action Recognition on a Cluster of GPUs. Guojing Cong, Giacomo Domeniconi, Joshua Shapiro, Fan Zhou, Barry Chen |
| 2018 | Adaptive Partitioning for Iterated Sequences of Irregular OpenCL Kernels. Pierre Huchant, Denis Barthou, Marie Christine Counilh |
| 2018 | Adaptive Scheduling of Collocated Applications Using a Task-Based Runtime System. Jirí Dokulil, Siegfried Benkner |
| 2018 | An Argument in Favor of Strong Scaling for Deep Neural Networks with Small Datasets. Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Matheus Palhares Viana, Dário Augusto Borges Oliveira |
| 2018 | Assessing Time Predictability Features of ARM Big. LITTLE Multicores. Gabriel Fernandez, Francisco J. Cazorla, Jaume Abella, Sylvain Girbal |
| 2018 | Automated GPU Grid Geometry Selection for OPENMP Kernels. Taylor Lloyd, Artem Chikin, Sanket Kedia, Dhruv Jain, José Nelson Amaral |
| 2018 | Automatic Ray-Tracer Cloud Offloading in OPENMP. Matheus Mortatti, Hervé Yviquel, Guido Araujo |
| 2018 | Balancing Load of GPU Subsystems to Accelerate Image Reconstruction in Parallel Beam Tomography. Suren Chilingaryan, Evelina Ametova, Andreas Kopmann, Alessandro Mirone |
| 2018 | DOACROSS Parallelization Based on Component Annotation and Loop-Carried Probability. Luis Mattos, Divino Cesar S. Lucas, Juan Salamanca, Joao P. L. de Carvalho, Márcio Machado Pereira, Guido Araujo |
| 2018 | Deep Learning on Large-Scale Muticore Clusters. Kazumasa Sakivama, Shinpei Kato, Yutaka Ishikawa, Atsushi Hori, Abraham Monrroy |
| 2018 | Design Space Exploration of Energy Efficient NoC-and Cache-Based Many-Core Architecture. Matheus Alcântara Souza, Henrique C. Freitas, Jean-François Méhaut |
| 2018 | Designing a Parallel Memory-Aware Lattice Boltzmann Algorithm on Manycore Systems. Yuankun Fu, Feng Li, Fengguang Song, Luoding Zhu |
| 2018 | EASE: Energy Efficiency and Proportionality Aware Virtual Machine Scheduling. Congfeng Jiang, Yumei Wang, Dongyang Ou, Yeliang Qiu, Youhuizi Li, Jian Wan, Bing Luo, Weisong Shi, Christophe Cérin |
| 2018 | ECHOFS: A Scheduler-Guided Temporary Filesystem to Leverage Node-Local NVMS. Alberto Miranda, Ramon Nou, Toni Cortes |
| 2018 | Effect of Network Topology on the Performance of ADMM-Based SVMs. Shirin Tavara, Alexander Schliep |
| 2018 | Enabling Efficient Job Dispatching in Accelerator-Extended Heterogeneous Systems with Unified Address Space. George Kornaros, Marcello Coppola |
| 2018 | Energy - Efficient IaaS-PaaS Co-Design for Flexible Cloud Deployment of Scientific Applications. David Guyon, Anne-Cécile Orgerie, Christine Morin |
| 2018 | Energy Efficient Parallel K-Means Clustering for an Intel® Hybrid Multi-Chip Package. Matheus Alcântara Souza, Lucas Andrade Maciel, Pedro Henrique Penna, Henrique C. Freitas |
| 2018 | Evaluation of an OPENMP Parallelization of Lucas-Kanade on a NUMA-Manycore. Olfa Haggui, Claude Tadonki, Fatma Sayadi, Bouraoui Ouni |
| 2018 | Exploiting Compute Caches for Memory Bound Vector Operations. João Vieira, Nuno Roma, Pedro Tomás, Paolo Ienne, Gabriel Falcão Paiva Fernandes |
| 2018 | Exploiting Limited Access Distance for Kernel Fusion Across the Stages of Explicit One-Step Methods on GPUs. Matthias Korch, Tim Werner |
| 2018 | Exploring Power Budget Scheduling Opportunities and Tradeoffs for AMR-Based Applications. Yubo Qin, Ivan Rodero, Pradeep Subedi, Manish Parashar, Sandro Rigo |
| 2018 | Exploring Self-Adaptivity Towards Performance and Energy for Time-Stepping Methods. Natalia Kalinnik, Robert Kiesel, Thomas Rauber, Marcel Richter, Gudula Rünger |
| 2018 | Exploring the Potential of Next Generation Software-Defined in Memory Frameworks. Shouwei Chen, Ivan Rodero |
| 2018 | Frequency Selection Approach for Energy Aware Cloud Database. Chaopeng Guo, Jean-Marc Pierson |
| 2018 | From Java to FPGA: An Experience with the Intel HARP System. Pedro Caldeira, Jeronimo Costa Penha, Lucas Bragança, Ricardo Ferreira, José Augusto Miranda Nacif, Renato Ferreira, Fernando Magno Quintão Pereira |
| 2018 | High-Performance Ensembles of Online Sequential Extreme Learning Machine for Regression and Time Series Forecasting. Luis Fernando L. Grim, André Leon S. Gradvohl |
| 2018 | Highly Scalable Stencil-Based Matrix-Free Stochastic Estimator for the Diagonal of the Inverse. Fabio Verbosio, Jurai Kardos, Mauro Bianco, Olaf Schenk |
| 2018 | Hybrid MPI+openMP Implementation of eXtended Discrete Element Method. Abdoul Wahid Mainassara Checkaraou, Alban Rousset, Xavier Besseron, Sébastien Varrette, Bernhard Peters |
| 2018 | HyperSpace: Distributed Bayesian Hyperparameter Optimization. M. Todd Young, Jacob D. Hinkle, Arvind Ramanathan, Ramakrishnan Kannan |
| 2018 | Impacts of Three Soft-Fault Models on Hybrid Parallel Asynchronous Iterative Methods. Evan Coleman, Erik J. Jensen, Masha Sosonkina |
| 2018 | Improving the Performance of Fog Computing Through the Use of Data Locality. Luiz Angelo Steffenel |
| 2018 | Large Scale Language Modeling: Converging on 40GB of Text in Four Hours. Raul Puri, Robert Kirby, Nikolai Yakovenko, Bryan Catanzaro |
| 2018 | MLNoC: A Machine Learning Based Approach to NoC Design. Nishant Rao, Akshay Ramachandran, Amish Shah |
| 2018 | Mainstream vs. Emerging HPC: Metrics, Trade-Offs and Lessons Learned. Milan Radulovic, Kazi Asifuzzaman, Darko Zivanovic, Nikola Rajovic, Guillaume Colin de Verdière, Dirk Pleiter, Manolis Marazakis, Nikolaos D. Kallimanis, Paul M. Carpenter, Petar Radojkovic, Eduard Ayguadé |
| 2018 | Multicore Performance Engineering of Sparse Triangular Solves Using a Modified Roofline Model. Markus Wittmann, Georg Hager, Radim Janalík, Martin Lanser, Axel Klawonn, Oliver Rheinbach, Olaf Schenk, Gerhard Wellein |
| 2018 | Network-Aware Energy-Efficient Virtual Machine Management in Distributed Cloud Infrastructures with On-Site Photovoltaic Production. Benjamin Camus, Fanny Dufossé, Anne Blavette, Martin Quinson, Anne-Cécile Orgerie |
| 2018 | On the Resilience of RTL NN Accelerators: Fault Characterization and Mitigation. Behzad Salami, Osman S. Unsal, Adrián Cristal Kestelman |
| 2018 | Online Detection of Spectre Attacks Using Microarchitectural Traces from Performance Counters. Congmiao Li, Jean-Luc Gaudiot |
| 2018 | Optimization of a Sparse Grid-Based Data Mining Kernel for Architectures Using AVX-512. Paul-Cristian Sarbu, Hans-Joachim Bungartz |
| 2018 | Partitioning Convolutional Neural Networks for Inference on Constrained Internet-of-Things Devices. Fabíola Martins Campos de Oliveira, Edson Borin |
| 2018 | Performance Comparison of a Parallel Recommender Algorithm Across Three Hadoop-Based Frameworks. Christina Diedhiou, Bryan Carpenter, Aamir Shafi, Soumabha Sarkar, Ramazan Esmeli, Ryan Gadsdon |
| 2018 | Performance Prediction of GPU-Based Deep Learning Applications. Eugenio Gianniti, Li Zhang, Danilo Ardagna |
| 2018 | Phase-Based Data Placement Scheme for Heterogeneous Memory Systems. Mohammad Shakeel Laghari, Najeeb Ahmad, Didem Unat |
| 2018 | Polyhedral Dataflow Programming: A Case Study. Romain Fontaine, Laure Gonnord, Lionel Morel |
| 2018 | Predicting the Performance Impact of Increasing Memory Bandwidth for Scientific Workflows. Nelson Mimura Gonzalez, José R. Brunheroto, Fausto Artico, Yoonho Park, Tereza Cristina M. B. Carvalho, Charles Christian Miers, Maurício Aronne Pillon, Guilherme Piêgas Koslovski |
| 2018 | Predicting the Reliability Behavior of HPC Applications. Daniel Oliveira, Francis Birck Moreira, Paolo Rech, Philippe Olivier Alexandre Navaux |
| 2018 | Runtime Management of Data Quality for Scientific Observatories Using Edge and In-Transit Resources. Ali Reza Zamani, Daniel Balouek-Thomert, Juan J. Villalobos, Ivan Rodero, Manish Parashar |
| 2018 | Scaling and Optimizing the Gysela Code on a Cluster of Many-Core Processors. Guillaume Latu, Yuuichi Asahi, Julien Bigot, Tamas B. Fehér, Virginie Grandgirard |
| 2018 | Scheduling Independent Stochastic Tasks Under Deadline and Budget Constraints. Louis-Claude Canon, Aurélie Kong Win Chang, Yves Robert, Frédéric Vivien |
| 2018 | T-SNE-CUDA: GPU-Accelerated T-SNE and its Applications to Modern Data. David M. Chan, Roshan Rao, Forrest Huang, John F. Canny |
| 2018 | Towards Green Scientific Data Compression Through High-Level I/O Interfaces. Yevhen Alforov, Thomas Ludwig, Anastasiia Novikova, Michael Kuhn, Julian M. Kunkel |
| 2018 | Towards a Single-Host Many-GPU System. Ming-Hung Chen, I-Hsin Chung, Bülent Abali, Paul Crumley |
| 2018 | Variable-Size Batched Condition Number Calculation on GPUs. Hartwig Anzt, Jack J. Dongarra, Goran Flegar, Thomas Grützmacher |