Nicholas L. Hazekamp

Orcid: 0000-0003-4197-2810

According to our database1, Nicholas L. Hazekamp authored at least 14 papers between 2012 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Solving the Container Explosion Problem for Distributed High Throughput Computing.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2019
Dynamic Sizing of Continuously Divisible Jobs for Heterogeneous Resources.
Proceedings of the 15th International Conference on eScience, 2019

2018
Combining Static and Dynamic Storage Management for Data Intensive Scientific Workflows.
IEEE Trans. Parallel Distributed Syst., 2018

Automatic Dependency Management for Scientific Applications on Clusters.
Proceedings of the 2018 IEEE International Conference on Cloud Engineering, 2018

MAKER as a Service: Moving HPC Applications to Jetstream Cloud.
Proceedings of the 2018 IEEE International Conference on Cloud Engineering, 2018

An Algebra for Robust Workflow Transformations.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

2016
Mining the Clinical Narrative: All Text are Not Equal.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

2015
Accelerating Comparative Genomics Work ows in a Distributed Environment with Optimized Data Partitioning and Workflow Fusion.
Scalable Comput. Pract. Exp., 2015

Scaling Up Bioinformatics Workflows with Dynamic Job Expansion: A Case Study Using Galaxy and Makeflow.
Proceedings of the 11th IEEE International Conference on e-Science, 2015

Balancing Thread-Level and Task-Level Parallelism for Data-Intensive Workloads on Clusters and Clouds.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

Confuga: Scalable Data Intensive Computing for POSIX Workflows.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

2014
Expanding Tasks of Logical Workflows Into Independent Workflows for Improved Scalability.
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

Accelerating Comparative Genomics Workflows in a Distributed Environment with Optimized Data Partitioning.
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

2012
CytoSEED: a Cytoscape plugin for viewing, manipulating and analyzing metabolic models created by the Model SEED.
Bioinform., 2012


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