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Jorda Polo
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2020 – today
- 2024
- [i6]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:
Scalable Training of Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN. CoRR abs/2406.12909 (2024) - 2023
- [j8]Daniel Rivas-Barragan, Francesc Guim, Jordà Polo, David Carrera:
Performance characterization of video analytics workloads in heterogeneous edge infrastructures. Concurr. Comput. Pract. Exp. 35(14) (2023) - 2022
- [j7]Daniel Rivas-Barragan, Francesc Guim, Jordà Polo, Pubudu Madhawa Silva, Josep Lluís Berral, David Carrera:
Towards automatic model specialization for edge video analytics. Future Gener. Comput. Syst. 134: 399-413 (2022) - [j6]Aaron Call, Jordà Polo, David Carrera:
Workload-Aware Placement Strategies to Leverage Disaggregated Resources in the Datacenter. IEEE Syst. J. 16(1): 1697-1708 (2022) - [j5]Muhammad Abdullah, Waheed Iqbal, Josep Lluis Berral, Jorda Polo, David Carrera:
Burst-Aware Predictive Autoscaling for Containerized Microservices. IEEE Trans. Serv. Comput. 15(3): 1448-1460 (2022) - 2021
- [j4]Marcelo Amaral, Jordà Polo, David Carrera, Nelson M. Gonzalez, Chih-Chieh Yang, Alessandro Morari, Bruce D'Amora, Alaa Youssef, Malgorzata Steinder:
DRMaestro: orchestrating disaggregated resources on virtualized data-centers. J. Cloud Comput. 10(1): 22 (2021) - [c13]Anna Maria Nestorov, Jordà Polo, Claudia Misale, David Carrera, Alaa Youssef:
Performance Evaluation of Data-Centric Workloads in Serverless Environments. CLOUD 2021: 491-496 - [c12]Daniel Rivas-Barragan, Francesc Guim, Jordà Polo, Josep Lluís Berral, David Carrera:
Large-Scale Video Analytics Through Object-Level Consolidation. SmartCity360° 2021: 155-171 - [i5]Daniel Rivas-Barragan, Francesc Guim, Jordà Polo, Josep Lluis Berral, Pubudu Madhawa Silva, David Carrera:
Towards Unsupervised Fine-Tuning for Edge Video Analytics. CoRR abs/2104.06826 (2021) - [i4]Daniel Rivas-Barragan, Francesc Guim, Jordà Polo, David Carrera:
Large-Scale Video Analytics through Object-Level Consolidation. CoRR abs/2111.15451 (2021) - 2020
- [j3]Zoran Jaksic, Nicola Cadenelli, David Buchaca Prats, Jordà Polo, Josep Lluis Berral, David Carrera:
A highly parameterizable framework for Conditional Restricted Boltzmann Machine based workloads accelerated with FPGAs and OpenCL. Future Gener. Comput. Syst. 104: 201-211 (2020) - [c11]Abbas Haghi, Lluc Alvarez, Jordà Polo, Dionysios Diamantopoulos, Christoph Hagleitner, Miquel Moretó:
A Hardware/Software Co-Design of K-mer Counting Using a CAPI-Enabled FPGA. FPL 2020: 57-64 - [i3]Aaron Call, Jordà Polo, David Carrera, Francesc Guim, Sujoy Sen:
Disaggregating Non-Volatile Memory for Throughput-Oriented Genomics Workloads. CoRR abs/2007.02813 (2020)
2010 – 2019
- 2019
- [j2]Nicola Cadenelli, Zoran Jaksic, Jordà Polo, David Carrera:
Considerations in using OpenCL on GPUs and FPGAs for throughput-oriented genomics workloads. Future Gener. Comput. Syst. 94: 148-159 (2019) - 2018
- [c10]Shuja-ur-Rehman Baig, Marcelo Amaral, Jorda Polo, David Carrera:
Performance Characterization of Spark Workloads on Shared NUMA Systems. BigDataService 2018: 41-48 - [c9]Aaron Call, Jordà Polo, David Carrera, Francesc Guim, Sujoy Sen:
Disaggregating Non-Volatile Memory for Throughput-Oriented Genomics Workloads. Euro-Par Workshops 2018: 613-625 - 2017
- [c8]Nicola Cadenelli, Jorda Polo, David Carrera:
Accelerating K-mer Frequency Counting with GPU and Non-Volatile Memory. HPCC/SmartCity/DSS 2017: 434-441 - [c7]Marcelo Amaral, Jordà Polo, David Carrera, Seetharami R. Seelam, Malgorzata Steinder:
Topology-aware GPU scheduling for learning workloads in cloud environments. SC 2017: 17 - [i2]Nicola Cadenelli, Jorda Polo, David Carrera:
Accelerating K-mer Frequency Counting with GPU and Non-Volatile Memory. CoRR abs/1712.03254 (2017) - 2015
- [c6]Marcelo Amaral, Jorda Polo, David Carrera, Iqbal Mohomed, Merve Unuvar, Malgorzata Steinder:
Performance Evaluation of Microservices Architectures Using Containers. NCA 2015: 27-34 - [i1]Marcelo Amaral, Jorda Polo, David Carrera, Iqbal Mohomed, Merve Unuvar, Malgorzata Steinder:
Performance Evaluation of Microservices Architectures using Containers. CoRR abs/1511.02043 (2015) - 2014
- [b1]Jorda Polo:
Multi-constraint scheduling of MapReduce workloads. Polytechnic University of Catalonia, Spain, 2014 - [c5]Jorda Polo, Yolanda Becerra, David Carrera, Jordi Torres, Eduard Ayguadé, Malgorzata Steinder:
Adaptive MapReduce Scheduling in Shared Environments. CCGRID 2014: 61-70 - 2013
- [j1]Jorda Polo, Yolanda Becerra, David Carrera, Malgorzata Steinder, Ian Whalley, Jordi Torres, Eduard Ayguadé:
Deadline-Based MapReduce Workload Management. IEEE Trans. Netw. Serv. Manag. 10(2): 231-244 (2013) - [c4]Jorda Polo, Yolanda Becerra, David Carrera, Jordi Torres, Eduard Ayguadé, Mike Spreitzer, Malgorzata Steinder:
Enabling Distributed Key-Value Stores with Low Latency-Impact Snapshot Support. NCA 2013: 65-72 - 2011
- [c3]Jorda Polo, Claris Castillo, David Carrera, Yolanda Becerra, Ian Whalley, Malgorzata Steinder, Jordi Torres, Eduard Ayguadé:
Resource-Aware Adaptive Scheduling for MapReduce Clusters. Middleware 2011: 187-207 - 2010
- [c2]Jorda Polo, David Carrera, Yolanda Becerra, Vicenç Beltran, Jordi Torres, Eduard Ayguadé:
Performance Management of Accelerated MapReduce Workloads in Heterogeneous Clusters. ICPP 2010: 653-662 - [c1]Jorda Polo, David Carrera, Yolanda Becerra, Malgorzata Steinder, Ian Whalley:
Performance-driven task co-scheduling for MapReduce environments. NOMS 2010: 373-380
Coauthor Index
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