Jorda Polo

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Massimiliano Lupo Pasini, Jong Youl Choi, Kshitij Mehta, Pei Zhang, David M. Rogers, Jonghyun Bae, Khaled Z. Ibrahim, Ashwin M. Aji, Karl W. Schulz, Jorda Polo, Prasanna Balaprakash

CoRR, 2024

2023

Performance characterization of video analytics workloads in heterogeneous edge infrastructures.

Daniel Rivas-Barragan, Francesc Guim, Jordà Polo, David Carrera

Concurr. Comput. Pract. Exp., 2023

2022

Burst-Aware Predictive Autoscaling for Containerized Microservices.

Muhammad Abdullah, Waheed Iqbal, Josep Lluis Berral, Jorda Polo, David Carrera

IEEE Trans. Serv. Comput., 2022

Workload-Aware Placement Strategies to Leverage Disaggregated Resources in the Datacenter.

Aaron Call, Jordà Polo, David Carrera

IEEE Syst. J., 2022

Towards automatic model specialization for edge video analytics.

Daniel Rivas-Barragan, Francesc Guim, Jordà Polo, Pubudu Madhawa Silva, Josep Lluís Berral, David Carrera

Future Gener. Comput. Syst., 2022

2021

DRMaestro: orchestrating disaggregated resources on virtualized data-centers.

Marcelo Amaral, Jordà Polo, David Carrera, Nelson M. Gonzalez, Chih-Chieh Yang, Alessandro Morari, Bruce D'Amora, Alaa Youssef, Malgorzata Steinder

J. Cloud Comput., 2021

Large-Scale Video Analytics through Object-Level Consolidation.

Daniel Rivas-Barragan, Francesc Guim, Jordà Polo, David Carrera

CoRR, 2021

Towards Unsupervised Fine-Tuning for Edge Video Analytics.

Daniel Rivas-Barragan, Francesc Guim, Jordà Polo, Josep Lluis Berral, Pubudu Madhawa Silva, David Carrera

CoRR, 2021

Large-Scale Video Analytics Through Object-Level Consolidation.

Daniel Rivas-Barragan, Francesc Guim, Jordà Polo, Josep Lluís Berral, David Carrera

Proceedings of the Science and Technologies for Smart Cities, 2021

Performance Evaluation of Data-Centric Workloads in Serverless Environments.

Anna Maria Nestorov, Jordà Polo, Claudia Misale, David Carrera, Alaa Youssef

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.

Zoran Jaksic, Nicola Cadenelli, David Buchaca Prats, Jordà Polo, Josep Lluis Berral, David Carrera

Future Gener. Comput. Syst., 2020

A Hardware/Software Co-Design of K-mer Counting Using a CAPI-Enabled FPGA.

Abbas Haghi, Lluc Alvarez, Jordà Polo, Dionysios Diamantopoulos, Christoph Hagleitner, Miquel Moretó

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.

Nicola Cadenelli, Zoran Jaksic, Jordà Polo, David Carrera

Future Gener. Comput. Syst., 2019

2018

Disaggregating Non-Volatile Memory for Throughput-Oriented Genomics Workloads.

Aaron Call, Jordà Polo, David Carrera, Francesc Guim, Sujoy Sen

Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018

Performance Characterization of Spark Workloads on Shared NUMA Systems.

Shuja-ur-Rehman Baig, Marcelo Amaral, Jorda Polo, David Carrera

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.

Marcelo Amaral, Jordà Polo, David Carrera, Seetharami R. Seelam, Malgorzata Steinder

Proceedings of the International Conference for High Performance Computing, 2017

Accelerating K-mer Frequency Counting with GPU and Non-Volatile Memory.

Nicola Cadenelli, Jorda Polo, David Carrera

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.

Marcelo Amaral, Jorda Polo, David Carrera, Iqbal Mohomed, Merve Unuvar, Malgorzata Steinder

Proceedings of the 14th IEEE International Symposium on Network Computing and Applications, 2015

2014

Multi-constraint scheduling of MapReduce workloads.

Jorda Polo

PhD thesis, 2014

Adaptive MapReduce Scheduling in Shared Environments.

Jorda Polo, Yolanda Becerra, David Carrera, Jordi Torres, Eduard Ayguadé, Malgorzata Steinder

Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

2013

Deadline-Based MapReduce Workload Management.

Jorda Polo, Yolanda Becerra, David Carrera, Malgorzata Steinder, Ian Whalley, Jordi Torres, Eduard Ayguadé

IEEE Trans. Netw. Serv. Manag., 2013

Enabling Distributed Key-Value Stores with Low Latency-Impact Snapshot Support.

Jorda Polo, Yolanda Becerra, David Carrera, Jordi Torres, Eduard Ayguadé, Mike Spreitzer, Malgorzata Steinder

Proceedings of the 2013 IEEE 12th International Symposium on Network Computing and Applications, 2013

2011

Resource-Aware Adaptive Scheduling for MapReduce Clusters.

Jorda Polo, Claris Castillo, David Carrera, Yolanda Becerra, Ian Whalley, Malgorzata Steinder, Jordi Torres, Eduard Ayguadé

Proceedings of the Middleware 2011, 2011

2010

Performance-driven task co-scheduling for MapReduce environments.

Jorda Polo, David Carrera, Yolanda Becerra, Malgorzata Steinder, Ian Whalley

Proceedings of the IEEE/IFIP Network Operations and Management Symposium, 2010

Performance Management of Accelerated MapReduce Workloads in Heterogeneous Clusters.

Jorda Polo, David Carrera, Yolanda Becerra, Vicenç Beltran, Jordi Torres, Eduard Ayguadé

Proceedings of the 39th International Conference on Parallel Processing, 2010