Claudia Misale

Orcid: 0000-0003-3737-7373

According to our database1, Claudia Misale authored at least 27 papers between 2014 and 2024.

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

Timeline

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On csauthors.net:

Bibliography

2024
The infrastructure powering IBM's Gen AI model development.
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CoRR, 2024

2023
Cloud-Bursting and Autoscaling for Python-Native Scientific Workflows Using Ray.
Proceedings of the High Performance Computing, 2023

Chic-sched: a HPC Placement-Group Scheduler on Hierarchical Topologies with Constraints.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022
One Step Closer to Converged Computing: Achieving Scalability with Cloud-Native HPC.
Proceedings of the 4th IEEE/ACM International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC, 2022

2021
A Dynamic, Hierarchical Resource Model for Converged Computing.
CoRR, 2021

Towards Standard Kubernetes Scheduling Interfaces for Converged Computing.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

It's a Scheduling Affair: GROMACS in the Cloud with the KubeFlux Scheduler.
Proceedings of the 3rd International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC, 2021

Performance Evaluation of Data-Centric Workloads in Serverless Environments.
Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2019
Languages for Big Data analysis.
Proceedings of the Encyclopedia of Big Data Technologies., 2019



Data broker: a case for workflow enablement using a key/value approach.
Proceedings of the International Symposium on Memory Systems, 2019

2018
A parallel pattern for iterative stencil + reduce.
J. Supercomput., 2018

PiCo: High-performance data analytics pipelines in modern C++.
Future Gener. Comput. Syst., 2018

Optimization of Genomics Analysis Pipeline for Scalable Performance in a Cloud Environment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Leveraging Adaptive I/O to Optimize Collective Data Shuffling Patterns for Big Data Analytics.
IEEE Trans. Parallel Distributed Syst., 2017

A Comparison of Big Data Frameworks on a Layered Dataflow Model.
Parallel Process. Lett., 2017

NuChart-II: The road to a fast and scalable tool for Hi-C data analysis.
Int. J. High Perform. Comput. Appl., 2017

A Formal Semantics for Data Analytics Pipelines.
CoRR, 2017

PiCo: A Novel Approach to Stream Data Analytics.
Proceedings of the Euro-Par 2017: Parallel Processing Workshops, 2017

2016
A Cluster-as-Accelerator Approach for SPMD-Free Data Parallelism.
Proceedings of the 24th Euromicro International Conference on Parallel, 2016

Towards Memory-Optimized Data Shuffling Patterns for Big Data Analytics.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

2015
Parallel Exploration of the Nuclear Chromosome Conformation with NuChart-II.
Proceedings of the 23rd Euromicro International Conference on Parallel, 2015

Memory-Optimised Parallel Processing of Hi-C Data.
Proceedings of the 23rd Euromicro International Conference on Parallel, 2015

2014
Parallel stochastic systems biology in the cloud.
Briefings Bioinform., 2014

Accelerating Bowtie2 with a lock-less concurrency approach and memory affinity.
Proceedings of the 22nd Euromicro International Conference on Parallel, 2014

Exercising High-Level Parallel Programming on Streams: A Systems Biology Use Case.
Proceedings of the 34th International Conference on Distributed Computing Systems Workshops (ICDCS 2014 Workshops), Madrid, Spain, June 30, 2014


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