| 2018 | Scalable Proximity-Based Methods for Large-Scale Analysis of Atom Probe Data. | Hao Lu, Sudip K. Seal, Jonathan D. Poplawsky |
| 2018 | Expediting Parallel Graph Connectivity Algorithms. | Kishore Kothapalli, Mihir Wadwekar |
| 2018 | Performance Optimization of Multithreaded 2D FFT on Multicore Processors: Challenges and Solution Approaches. | Semyon Khokhriakov, Ravi Reddy Manumachu, Alexey L. Lastovetsky |
| 2018 | Workflow Simulation Aware and Multi-threading Effective Task Scheduling for Heterogeneous Computing. | Vasilios I. Kelefouras, Karim Djemame |
| 2018 | Adaptive Pattern Matching with Reinforcement Learning for Dynamic Graphs. | Hiroki Kanezashi, Toyotaro Suzumura, Dario Garcia-Gasulla, Min-hwan Oh, Satoshi Matsuoka |
| 2018 | Data Science Techniques to Improve Accuracy of Provider Network Directory. | Priya Kandasamy, Divya Raji, Arun Sundararaman |
| 2018 | Health Management of a Typical Small Aircraft Fuel System Using an Adaptive Technique. | Vijaylakshmi S. Jigajinni, Vanam Upendranath |
| 2018 | Effective Mapping of an SPH Algorithm on Massively Parallel GPU Architecture. | Pravin Jagtap, Rupesh Nasre, B. S. V. Patnaik |
| 2018 | Achieving Performance and Programmability for MapReduce(-Like) Frameworks. | Jia Guo, Gagan Agrawal |
| 2018 | Share-a-GPU: Providing Simple and Effective Time-Sharing on GPUs. | Shaleen Garg, Kishore Kothapalli, Suresh Purini |
| 2018 | FFTX and SpectralPack: A First Look. | Franz Franchetti, Daniele G. Spampinato, Anuva Kulkarni, Doru-Thom Popovici, Tze Meng Low, Michael E. Franusich, Andrew Canning, Peter McCorquodale, Brian van Straalen, Phillip Colella |
| 2018 | Adaptive Runtime Features for Distributed Graph Algorithms. | Jesun Sahariar Firoz, Marcin Zalewski, Joshua Suetterlein, Andrew Lumsdaine |
| 2018 | Synchronization-Avoiding Graph Algorithms. | Jesun Sahariar Firoz, Marcin Zalewski, Thejaka Amila Kanewala, Andrew Lumsdaine |
| 2018 | Code and Data Transformations to Address Garbage Collector Performance in Big Data Processing. | Damon Fenacci, Hans Vandierendonck, Dimitrios S. Nikolopoulos |
| 2018 | Vidya: Performing Code-Block I/O Characterization for Data Access Optimization. | Hariharan Devarajan, Anthony Kougkas, Prajwal Challa, Xian-He Sun |
| 2018 | Secure High-Performance Computer Architectures: Challenges and Opportunities. | Srini Devadas |
| 2018 | Shared-Memory Parallel Maximal Clique Enumeration. | Apurba Das, Seyed-Vahid Sanei-Mehri, Srikanta Tirthapura |
| 2018 | A Comparative Study of Turbulence Models for Two-Phase Coaxial Swirling Jet Flows. | Aniruddha Choudhary, Vagesh D. Narasimhamurthy |
| 2018 | Accelerating TensorFlow with Adaptive RDMA-Based gRPC. | Rajarshi Biswas, Xiaoyi Lu, Dhabaleswar K. Panda |
| 2018 | Balancing Stragglers Against Staleness in Distributed Deep Learning. | Saurav Basu, Vaibhav Saxena, Rintu Panja, Ashish Verma |
| 2018 | Parallel Nonnegative CP Decomposition of Dense Tensors. | Grey Ballard, Koby Hayashi, Ramakrishnan Kannan |
| 2018 | DeepHyper: Asynchronous Hyperparameter Search for Deep Neural Networks. | Prasanna Balaprakash, Michael Salim, Thomas D. Uram, Venkat Vishwanath, Stefan M. Wild |
| 2018 | OC-DNN: Exploiting Advanced Unified Memory Capabilities in CUDA 9 and Volta GPUs for Out-of-Core DNN Training. | Ammar Ahmad Awan, Ching-Hsiang Chu, Hari Subramoni, Xiaoyi Lu, Dhabaleswar K. Panda |
| 2018 | Blended Learning-Assimilating Authentic Data Into Deep Learning Models. | Saichand Avrp, Pallav Kumar Baruah |
| 2018 | Performance Analysis of Deep Learning Architectures for Recommendation Systems. | Devika Anil, Anagha Vembar, Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa |