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09/07/2023
pPython Performance Study
pPython seeks to provide a parallel capability that provides good speed-...
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08/31/2022
pPython for Parallel Python Programming
pPython seeks to provide a parallel capability that provides good speed-...
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09/09/2021
3D Real-Time Supercomputer Monitoring
Supercomputers are complex systems producing vast quantities of performa...
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08/25/2021
Node-Based Job Scheduling for Large Scale Simulations of Short Running Jobs
Diverse workloads such as interactive supercomputing, big data analysis,...
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08/20/2020
Accuracy and Performance Comparison of Video Action Recognition Approaches
Over the past few years, there has been significant interest in video ac...
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08/18/2020
Benchmarking network fabrics for data distributed training of deep neural networks
Artificial Intelligence/Machine Learning applications require the traini...
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08/05/2020
Best of Both Worlds: High Performance Interactive and Batch Launching
Rapid launch of thousands of jobs is essential for effective interactive...
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09/03/2019
Large Scale Parallelization Using File-Based Communications
In this paper, we present a novel and new file-based communication archi...
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08/20/2019
Securing HPC using Federated Authentication
Federated authentication can drastically reduce the overhead of basic ac...
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03/05/2019
Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers
For decades, the use of HPC systems was limited to those in the physical...
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08/25/2018
Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud
Detecting anomalous behavior in network traffic is a major challenge due...
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08/13/2018
Interactive Launch of 16,000 Microsoft Windows Instances on a Supercomputer
Simulation, machine learning, and data analysis require a wide range of ...
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07/23/2018
Measuring the Impact of Spectre and Meltdown
The Spectre and Meltdown flaws in modern microprocessors represent a new...
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07/20/2018
Interactive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis
Interactive massively parallel computations are critical for machine lea...
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03/04/2018
Design, Generation, and Validation of Extreme Scale Power-Law Graphs
Massive power-law graphs drive many fields: metagenomics, brain mapping,...
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08/01/2017
Performance Measurements of Supercomputing and Cloud Storage Solutions
Increasing amounts of data from varied sources, particularly in the fiel...
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07/12/2017
Benchmarking Data Analysis and Machine Learning Applications on the Intel KNL Many-Core Processor
Knights Landing (KNL) is the code name for the second-generation Intel X...
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09/24/2016
Benchmarking SciDB Data Import on HPC Systems
SciDB is a scalable, computational database management system that uses ...
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06/18/2016