| Node-Based Job Scheduling for Large Scale Simulations of Short Running Jobs | 1 | 0.41 | 2021 |
| 3D Real-Time Supercomputer Monitoring | 0 | 0.34 | 2021 |
| Accuracy and Performance Comparison of Video Action Recognition Approaches | 0 | 0.34 | 2020 |
| Benchmarking network fabrics for data distributed training of deep neural networks | 0 | 0.34 | 2020 |
| Multi-Temporal Analysis and Scaling Relations of 100,000,000,000 Network Packets | 3 | 0.37 | 2020 |
| Fast Mapping onto Census Blocks | 0 | 0.34 | 2020 |
| 75,000,000,000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices | 3 | 0.37 | 2020 |
| Best Of Both Worlds: High Performance Interactive And Batch Launching | 0 | 0.34 | 2020 |
| Optimizing Xeon Phi for Interactive Data Analysis | 1 | 0.35 | 2019 |
| Large Scale Parallelization Using File-Based Communications. | 0 | 0.34 | 2019 |
| Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M | 6 | 0.41 | 2019 |
| Securing HPC using Federated Authentication | 0 | 0.34 | 2019 |
| A Billion Updates per Second Using 30, 000 Hierarchical In-Memory D4M Databases. | 0 | 0.34 | 2019 |
| A Parallel Implementation of FANO using OpenMP and MPI | 0 | 0.34 | 2018 |
| Scalable System Scheduling for HPC and Big Data. | 11 | 0.65 | 2018 |
| Interactive Launch of 16,000 Microsoft Windows Instances on a Supercomputer | 1 | 0.36 | 2018 |
| Interactive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis | 22 | 1.65 | 2018 |
| Measuring the Impact of Spectre and Meltdown | 4 | 0.45 | 2018 |
| Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud | 7 | 0.46 | 2018 |
| MIT SuperCloud portal workspace: Enabling HPC web application deployment | 4 | 0.45 | 2017 |
| Benchmarking data analysis and machine learning applications on the Intel KNL many-core processor | 2 | 0.45 | 2017 |
| Learning by doing, High Performance Computing education in the MOOC era. | 0 | 0.34 | 2017 |
| Enhancing HPC security with a user-based firewall | 4 | 0.43 | 2016 |
| LLMapReduce: Multi-level map-reduce for high performance data analysis | 6 | 0.59 | 2016 |
| Scalability of VM provisioning systems | 6 | 0.57 | 2016 |
| Scheduler technologies in support of high performance data analysis | 7 | 0.53 | 2016 |
| Benchmarking SciDB data import on HPC systems | 6 | 0.48 | 2016 |
| D4M: Bringing associative arrays to database engines | 17 | 0.89 | 2015 |
| Enabling on-demand database computing with MIT SuperCloud database management system | 16 | 0.90 | 2015 |
| Big Data strategies for Data Center Infrastructure management using a 3D gaming platform | 9 | 0.84 | 2015 |
| Lustre, hadoop, accumulo | 3 | 0.47 | 2015 |
| D4m 2.0 Schema: A General Purpose High Performance Schema For The Accumulo Database | 23 | 1.97 | 2013 |
| Scalable cryptographic authentication for high performance computing | 3 | 0.43 | 2012 |
| Driving big data with big compute | 12 | 0.77 | 2012 |
| A multi-level parallelization concept for high-fidelity multi-block solvers | 3 | 0.59 | 1997 |
