Jorda Polo

Orcid: 0000-0001-5422-7890

According to our database1, Jorda Polo authored at least 25 papers between 2010 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2024
Scalable Training of Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN.
CoRR, 2024

2023
Performance characterization of video analytics workloads in heterogeneous edge infrastructures.
Concurr. Comput. Pract. Exp., 2023

2022
Burst-Aware Predictive Autoscaling for Containerized Microservices.
IEEE Trans. Serv. Comput., 2022

Workload-Aware Placement Strategies to Leverage Disaggregated Resources in the Datacenter.
IEEE Syst. J., 2022

Towards automatic model specialization for edge video analytics.
Future Gener. Comput. Syst., 2022

2021
DRMaestro: orchestrating disaggregated resources on virtualized data-centers.
J. Cloud Comput., 2021

Large-Scale Video Analytics through Object-Level Consolidation.
CoRR, 2021

Towards Unsupervised Fine-Tuning for Edge Video Analytics.
CoRR, 2021

Large-Scale Video Analytics Through Object-Level Consolidation.
Proceedings of the Science and Technologies for Smart Cities, 2021

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

2020
A highly parameterizable framework for Conditional Restricted Boltzmann Machine based workloads accelerated with FPGAs and OpenCL.
Future Gener. Comput. Syst., 2020

A Hardware/Software Co-Design of K-mer Counting Using a CAPI-Enabled FPGA.
Proceedings of the 30th International Conference on Field-Programmable Logic and Applications, 2020

2019
Considerations in using OpenCL on GPUs and FPGAs for throughput-oriented genomics workloads.
Future Gener. Comput. Syst., 2019

2018
Disaggregating Non-Volatile Memory for Throughput-Oriented Genomics Workloads.
Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018

Performance Characterization of Spark Workloads on Shared NUMA Systems.
Proceedings of the Fourth IEEE International Conference on Big Data Computing Service and Applications, 2018

2017
Topology-aware GPU scheduling for learning workloads in cloud environments.
Proceedings of the International Conference for High Performance Computing, 2017

Accelerating K-mer Frequency Counting with GPU and Non-Volatile Memory.
Proceedings of the 19th IEEE International Conference on High Performance Computing and Communications; 15th IEEE International Conference on Smart City; 3rd IEEE International Conference on Data Science and Systems, 2017

2015
Performance Evaluation of Microservices Architectures Using Containers.
Proceedings of the 14th IEEE International Symposium on Network Computing and Applications, 2015

2014
Multi-constraint scheduling of MapReduce workloads.
PhD thesis, 2014

Adaptive MapReduce Scheduling in Shared Environments.
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

2013
Deadline-Based MapReduce Workload Management.
IEEE Trans. Netw. Serv. Manag., 2013

Enabling Distributed Key-Value Stores with Low Latency-Impact Snapshot Support.
Proceedings of the 2013 IEEE 12th International Symposium on Network Computing and Applications, 2013

2011
Resource-Aware Adaptive Scheduling for MapReduce Clusters.
Proceedings of the Middleware 2011, 2011

2010
Performance-driven task co-scheduling for MapReduce environments.
Proceedings of the IEEE/IFIP Network Operations and Management Symposium, 2010

Performance Management of Accelerated MapReduce Workloads in Heterogeneous Clusters.
Proceedings of the 39th International Conference on Parallel Processing, 2010


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