Aaron Call

According to our database, Aaron Call authored at least 10 papers between 2014 and 2023.

Collaborative distances:

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

2023

Vitamin-V: Virtual Environment and Tool-boxing for Trustworthy Development of RISC-V based Cloud Services.

Aggelos Arelakis, José-María Arnau, Josep Lluis Berral, Aaron Call, Ramon Canal, Stefano Di Carlo, Juan José Costa, Dimitris Gizopoulos, Vasileios Karakostas, Francesco Lubrano, Konstantinos Nikas, Yiannis Nikolakopoulos, Beatriz Otero, George Papadimitriou, Ioannis Papaefstathiou, Dionisios N. Pnevmatikatos, Daniel Raho, Alvise Rigo, Eva Rodríguez, Alessandro Savino, Alberto Scionti, Nikolaos Tampouratzis, Antonio J. Torregrosa

CoRR, 2023

Challenges and Opportunities for RISC-V Architectures Towards Genomics-Based Workloads.

Gonzalo Gomez-Sanchez, Aaron Call, Xavier Teruel, Lorena Alonso, Ignasi Moran, Miguel Angel Perez, David Torrents, Josep Lluís Berral

Proceedings of the High Performance Computing, 2023

VITAMIN-V: Virtual Environment and Tool-Boxing for Trustworthy Development of RISC-V Based Cloud Services.

Ramon Canal, Cristiano Pegoraro Chenet, Aggelos Arelakis, José-María Arnau, Josep Lluís Berral, Aaron Call, Stefano Di Carlo, Juan José Costa, Dimitris Gizopoulos, Vasileios Karakostas, Francesco Lubrano, Konstantinos Nikas, Yiannis Nikolakopoulos, Beatriz Otero, George Papadimitriou, Ioannis Papaefstathiou, Dionisios N. Pnevmatikatos, Daniel Raho, Alvise Rigo, Eva Rodríguez, Alessandro Savino, Alberto Scionti, Nikolaos Tampouratzis, Alex Torregrosa

Proceedings of the 26th Euromicro Conference on Digital System Design, 2023

2022

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

Aaron Call, Jordà Polo, David Carrera

IEEE Syst. J., 2022

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

2017

ALOJA: A Framework for Benchmarking and Predictive Analytics in Hadoop Deployments.

Josep Lluis Berral, Nicolás Poggi, David Carrera, Aaron Call, Rob Reinauer, Daron Green

IEEE Trans. Emerg. Top. Comput., 2017

2015

ALOJA: A Framework for Benchmarking and Predictive Analytics in Big Data Deployments.

Josep Lluis Berral, Nicolás Poggi, David Carrera, Aaron Call, Rob Reinauer, Daron Green

CoRR, 2015

ALOJA-ML: A Framework for Automating Characterization and Knowledge Discovery in Hadoop Deployments.

Josep Lluis Berral, Nicolás Poggi, David Carrera, Aaron Call, Rob Reinauer, Daron Green

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

From performance profiling to predictive analytics while evaluating hadoop cost-efficiency in ALOJA.

Nicolás Poggi, Josep Lluis Berral, David Carrera, Aaron Call, Fabrizio Gagliardi, Rob Reinauer, Nikola Vujic, Daron Green, José A. Blakeley

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

ALOJA: A systematic study of Hadoop deployment variables to enable automated characterization of cost-effectiveness.

Nicolás Poggi, David Carrera, Aaron Call, Sergio Mendoza, Yolanda Becerra, Jordi Torres, Eduard Ayguadé, Fabrizio Gagliardi, Jesús Labarta, Rob Reinauer, Nikola Vujic, Daron Green, José A. Blakeley

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014