David Carrera
researcher (ORCID 0000-0003-4898-3424)
Facts
9 properties- Instance of
- human
- Occupation
- researcher
- Employer
- Barcelona Supercomputing Center (2005–present), Polytechnic University of Catalonia (2003–present)[2][3]
- Doctoral advisor
- Eduard Ayguadé, Jordi Torres[4][5]
- Doctoral student
- Nicola Cadenelli, Álvaro Villalba Navarro, Marcelo Amaral, Juan Luis Pérez Rico, Michal Zasadzinski, Jorda Polo, Nicolas Poggi, Shuja-ur-Rehman Baig, David Buchaca[7][8][9][10][11][12][13][14][15]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en David Carrera
en David Carrera Pérez
🔖 Identifiers · 11
- ORCID iD
- 0000-0003-4898-3424
- VIAF cluster ID
- 305863925
- OpenAlex ID
- A5081849393as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- ACM Digital Library author ID
- 81100038735
- CANTIC ID
- 981058525723306706
- DBLP author ID
- 13/6290
- Dimensions author ID
- 015364012563.20
- Google Scholar author ID
- k8YTiq4AAAAJ
- Springer Nature person ID
- 015364012563.20
- University of Barcelona authority ID
- 981058525723306706
- University of Barcelona authority ID (former scheme)
- a1340453
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 7
A resilient and distributed near real-time traffic forecasting application for Fog computing environments,
Automatic Distributed Deep Learning Using Resource-Constrained Edge Devices,
Automatic Generation of Workload Profiles Using Unsupervised Learning Pipelines,
Considerations in using OpenCL on GPUs and FPGAs for throughput-oriented genomics workloads,
Next Stop "NoOps": Enabling Cross-System Diagnostics Through Graph-Based Composition of Logs and Metrics,
Sequence-to-sequence models for workload interference prediction on batch processing datacenters,
Towards automatic model specialization for edge video analytics
← Authored by 7
A resilient and distributed near real-time traffic forecasting application for Fog computing environments,
Automatic Distributed Deep Learning Using Resource-Constrained Edge Devices,
Automatic Generation of Workload Profiles Using Unsupervised Learning Pipelines,
Considerations in using OpenCL on GPUs and FPGAs for throughput-oriented genomics workloads,
Next Stop "NoOps": Enabling Cross-System Diagnostics Through Graph-Based Composition of Logs and Metrics,
Sequence-to-sequence models for workload interference prediction on batch processing datacenters,
Towards automatic model specialization for edge video analytics
Affiliated with 2
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Summary
David Carrera worked as a researcher[1].
Body
Education
Doctoral advisors include Eduard Ayguadé[4], a researcher[18] and Jordi Torres[5], a researcher[19].
Career and Affiliations
Employers include Barcelona Supercomputing Center[2], a facility[20], in Spain[21], founded in 2005[22], headquartered in Capella de la Torre Girona[23] and Polytechnic University of Catalonia[3], a university[24], in Spain[25], founded in 1971[26], headquartered in Barcelona[27]. Doctoral students include Nicola Cadenelli[7]; Álvaro Villalba Navarro[8]; Marcelo Amaral[9]; Juan Luis Pérez Rico[10]; Michal Zasadzinski[11]; and Jorda Polo[12], a researcher[28].
FAQs
What did David Carrera do for work?
David Carrera worked as researcher[1].