Performance Management of Accelerated MapReduce Workloads in Heterogeneous Clusters. - Jorda Polo; David Carrera 001; Yolanda Becerra 001; Vicenç Beltran 001; Jordi Torres; Eduard Ayguadé (ICPP, 2010)

Performance-driven task co-scheduling for MapReduce environments. - Jorda Polo; David Carrera 001; Yolanda Becerra 001; Malgorzata Steinder; Ian Whalley (NOMS, 2010)

Resource-Aware Adaptive Scheduling for MapReduce Clusters. - Jorda Polo; Claris Castillo; David Carrera 001; Yolanda Becerra 001; Ian Whalley; Malgorzata Steinder; Jordi Torres; Eduard Ayguadé (Middleware, 2011)

Enabling Distributed Key-Value Stores with Low Latency-Impact Snapshot Support. - Jorda Polo; Yolanda Becerra 001; David Carrera 001; Jordi Torres; Eduard Ayguadé; Mike Spreitzer; Malgorzata Steinder (NCA, 2013)

Deadline-Based MapReduce Workload Management. - Jorda Polo; Yolanda Becerra 001; David Carrera 001; Malgorzata Steinder; Ian Whalley; Jordi Torres; Eduard Ayguadé (IEEE Trans. Netw. Serv. Manag., 2013)

Adaptive MapReduce Scheduling in Shared Environments. - Jorda Polo; Yolanda Becerra 001; David Carrera 001; Jordi Torres; Eduard Ayguadé; Malgorzata Steinder (CCGRID, 2014)

Multi-constraint scheduling of MapReduce workloads. - Jorda Polo (2014)

Performance Evaluation of Microservices Architectures Using Containers. - Marcelo Amaral; Jorda Polo; David Carrera 001; Iqbal Mohomed; Merve Unuvar; Malgorzata Steinder (NCA, 2015)

Accelerating K-mer Frequency Counting with GPU and Non-Volatile Memory. - Nicola Cadenelli; Jorda Polo; David Carrera 001 (HPCC/SmartCity/DSS, 2017)

Topology-aware GPU scheduling for learning workloads in cloud environments. - Marcelo Amaral; Jordà Polo; David Carrera 001; Seetharami R. Seelam; Malgorzata Steinder (SC, 2017)

Performance Characterization of Spark Workloads on Shared NUMA Systems. - Shuja-ur-Rehman Baig; Marcelo Amaral; Jorda Polo; David Carrera 001 (BigDataService, 2018)

Disaggregating Non-Volatile Memory for Throughput-Oriented Genomics Workloads. - Aaron Call; Jordà Polo; David Carrera 001; Francesc Guim 001; Sujoy Sen (Euro-Par Workshops, 2018)

Considerations in using OpenCL on GPUs and FPGAs for throughput-oriented genomics workloads. - Nicola Cadenelli; Zoran Jaksic; Jordà Polo; David Carrera 001 (Future Gener. Comput. Syst., 2019)

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 (FPL, 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 001 (Future Gener. Comput. Syst., 2020)

Performance Evaluation of Data-Centric Workloads in Serverless Environments. - Anna Maria Nestorov; Jordà Polo; Claudia Misale; David Carrera 001; Alaa Youssef (CLOUD, 2021)

Large-Scale Video Analytics Through Object-Level Consolidation. - Daniel Rivas-Barragan; Francesc Guim 001; Jordà Polo; Josep Lluís Berral; David Carrera 001 (SmartCity360°, 2021)

Towards Unsupervised Fine-Tuning for Edge Video Analytics. - Daniel Rivas-Barragan; Francesc Guim 001; Jordà Polo; Josep Lluis Berral; Pubudu Madhawa Silva; David Carrera 001 (CoRR, 2021)

Large-Scale Video Analytics through Object-Level Consolidation. - Daniel Rivas-Barragan; Francesc Guim 001; Jordà Polo; David Carrera 001 (CoRR, 2021)

DRMaestro: orchestrating disaggregated resources on virtualized data-centers. - Marcelo Amaral; Jordà Polo; David Carrera 001; Nelson M. Gonzalez; Chih-Chieh Yang; Alessandro Morari; Bruce D'Amora; Alaa Youssef; Malgorzata Steinder (J. Cloud Comput., 2021)

Towards automatic model specialization for edge video analytics. - Daniel Rivas-Barragan; Francesc Guim 001; Jordà Polo; Pubudu Madhawa Silva; Josep Lluís Berral; David Carrera 001 (Future Gener. Comput. Syst., 2022)

Workload-Aware Placement Strategies to Leverage Disaggregated Resources in the Datacenter. - Aaron Call; Jordà Polo; David Carrera 001 (IEEE Syst. J., 2022)

Burst-Aware Predictive Autoscaling for Containerized Microservices. - Muhammad Abdullah 004; Waheed Iqbal; Josep Lluis Berral; Jorda Polo; David Carrera 001 (IEEE Trans. Serv. Comput., 2022)

Performance characterization of video analytics workloads in heterogeneous edge infrastructures. - Daniel Rivas-Barragan; Francesc Guim 001; Jordà Polo; David Carrera 001 (Concurr. Comput. Pract. Exp., 2023)

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 001; Jonghyun Bae; Khaled Z. Ibrahim; Ashwin M. Aji; Karl W. Schulz; Jorda Polo; Prasanna Balaprakash (CoRR, 2024)

Scalable training of trustworthy and energy-efficient predictive 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 001; Jonghyun Bae; Khaled Z. Ibrahim; Ashwin M. Aji; Karl W. Schulz; Jordà Polo; Prasanna Balaprakash (J. Supercomput., 2025)

Multi-task parallelism for robust pre-training of graph foundation models on multi-source, multi-fidelity atomistic modeling data. - Massimiliano Lupo Pasini; Jong Youl Choi; Pei Zhang; Kshitij Mehta; Rylie Weaver; Ashwin M. Aji; Karl W. Schulz; Jorda Polo; Prasanna Balaprakash (CoRR, 2025)