| 2018 | High-Performance Ensembles of Online Sequential Extreme Learning Machine for Regression and Time Series Forecasting. | Luis Fernando L. Grim, Andr Leon S. Gradvohl |
| 2018 | Predicting the Performance Impact of Increasing Memory Bandwidth for Scientific Workflows. | Nelson Mimura Gonzalez, Jos R. Brunheroto, Fausto Artico, Yoonho Park, Tereza Cristina M. B. Carvalho, Charles Christian Miers, Maurcio Aronne Pillon, Guilherme Pigas Koslovski |
| 2018 | Performance Prediction of GPU-Based Deep Learning Applications. | Eugenio Gianniti, Li Zhang, Danilo Ardagna |
| 2018 | Designing a Parallel Memory-Aware Lattice Boltzmann Algorithm on Manycore Systems. | Yuankun Fu, Feng Li, Fengguang Song, Luoding Zhu |
| 2018 | A Batch Task Migration Approach for Decentralized Global Rescheduling. | Vinicius Freitas, Alexandre de Limas Santana, Mrcio Castro, Larcio Lima Pilla |
| 2018 | Polyhedral Dataflow Programming: A Case Study. | Romain Fontaine, Laure Gonnord, Lionel Morel |
| 2018 | Assessing Time Predictability Features of ARM Big. LITTLE Multicores. | Gabriel Fernandez, Francisco J. Cazorla, Jaume Abella, Sylvain Girbal |
| 2018 | ADeLe: Rapid Architectural Simulation for Approximate Hardware. | Isaas B. Felzmann, Matheus Martins Susin, Liana Dessandre Duenha, Rodolfo Azevedo, Lucas Francisco Wanner |
| 2018 | Adaptive Scheduling of Collocated Applications Using a Task-Based Runtime System. | Jir Dokulil, Siegfried Benkner |
| 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 | 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, Drio Augusto Borges Oliveira |
| 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 | Impacts of Three Soft-Fault Models on Hybrid Parallel Asynchronous Iterative Methods. | Evan Coleman, Erik J. Jensen, Masha Sosonkina |
| 2018 | Balancing Load of GPU Subsystems to Accelerate Image Reconstruction in Parallel Beam Tomography. | Suren Chilingaryan, Evelina Ametova, Andreas Kopmann, Alessandro Mirone |
| 2018 | Exploring the Potential of Next Generation Software-Defined in Memory Frameworks. | Shouwei Chen, Ivan Rodero |
| 2018 | Towards a Single-Host Many-GPU System. | Ming-Hung Chen, I-Hsin Chung, Blent Abali, Paul Crumley |
| 2018 | Hybrid MPI+openMP Implementation of eXtended Discrete Element Method. | Abdoul Wahid Mainassara Checkaraou, Alban Rousset, Xavier Besseron, Sbastien Varrette, Bernhard Peters |
| 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 | Scheduling Independent Stochastic Tasks Under Deadline and Budget Constraints. | Louis-Claude Canon, Aurlie Kong Win Chang, Yves Robert, Frdric Vivien |
| 2018 | Network-Aware Energy-Efficient Virtual Machine Management in Distributed Cloud Infrastructures with On-Site Photovoltaic Production. | Benjamin Camus, Fanny Dufoss, Anne Blavette, Martin Quinson, Anne-Ccile Orgerie |
| 2018 | From Java to FPGA: An Experience with the Intel HARP System. | Pedro Caldeira, Jeronimo Costa Penha, Lucas Bragana, Ricardo Ferreira, Jos Augusto Miranda Nacif, Renato Ferreira, Fernando Magno Quinto Pereira |
| 2018 | Variable-Size Batched Condition Number Calculation on GPUs. | Hartwig Anzt, Jack J. Dongarra, Goran Flegar, Thomas Grtzmacher |
| 2018 | A Jaccard Weights Kernel Leveraging Independent Thread Scheduling on GPUs. | Hartwig Anzt, Jack J. Dongarra |
| 2018 | Towards Green Scientific Data Compression Through High-Level I/O Interfaces. | Yevhen Alforov, Thomas Ludwig, Anastasiia Novikova, Michael Kuhn, Julian M. Kunkel |
| 2017 | Accelerating Graph Analytics on CPU-FPGA Heterogeneous Platform. | Shijie Zhou, Viktor K. Prasanna |