Converged Computing: A Best of Both Worlds of High-Performance Computing and Cloud.
Comput. Sci. Eng., 2024
Dexter: A Performance-Cost Efficient Resource Allocation Manager for Serverless Data Analytics.
Proceedings of the 25th International Middleware Conference, 2024
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
Floki: a proactive data forwarding system for direct inter-function communication for serverless workflows.
Proceedings of the Eighth International Workshop on Container Technologies and Container Clouds, 2022
One Step Closer to Converged Computing: Achieving Scalability with Cloud-Native HPC.
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Proceedings of the 4th IEEE/ACM International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC, 2022
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
Languages for Big Data analysis.
Proceedings of the Encyclopedia of Big Data Technologies., 2019
A massively parallel infrastructure for adaptive multiscale simulations: modeling RAS initiation pathway for cancer.
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Proceedings of the International Conference for High Performance Computing, 2019
Data broker: a case for workflow enablement using a key/value approach.
Proceedings of the International Symposium on Memory Systems, 2019
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
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
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
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
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