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Polo, Jordà
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1

Workload-Aware Placement Strategies to Leverage Disaggregat..:

Call, Aaron ; Polo, Jorda ; Carrera, David
IEEE Systems Journal.  16 (2022)  1 - p. 1697-1708 , 2022
Link: https://doi.org/10.1109/..
 
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2

Towards automatic model specialization for edge video analy..:

Rivas, Daniel ; Guim, Francesc ; Polo, Jordà...
Future Generation Computer Systems.  134 (2022)  - p. 399-413 , 2022
Link: https://doi.org/10.1016/..
 
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3

Burst-Aware Predictive Autoscaling for Containerized Micros..:

Abdullah, Muhammad ; Iqbal, Waheed ; Berral, Josep Lluis..
IEEE Transactions on Services Computing.  15 (2022)  3 - p. 1448-1460 , 2022
Link: https://doi.org/10.1109/..
 
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4

Large-Scale Video Analytics Through Object-Level Consolidat..:

, In: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; Science and Technologies for Smart Cities,
Rivas, Daniel ; Guim, Francesc ; Polo, Jordà.. - p. 155-171 , 2022
Link: https://doi.org/10.1007/..
 
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5

Enabling Genomics Pipelines in Commodity Personal Computers..:

Cadenelli, Nicola ; Jun, Sang-Woo ; Polo, Jordà...
Frontiers in Genetics.  12 (2021)  - p. , 2021
Link: https://doi.org/10.3389/..
 
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6

Performance characterization of video analytics workloads i..:

Rivas, Daniel ; Guim, Francesc ; Polo, Jordà.
Concurrency and Computation: Practice and Experience.  35 (2021)  14 - p. , 2021
Link: https://doi.org/10.1002/..
 
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7

DRMaestro: orchestrating disaggregated resources on virtual..:

Amaral, Marcelo ; Polo, Jordà ; Carrera, David...
Journal of Cloud Computing.  10 (2021)  1 - p. , 2021
Link: https://doi.org/10.1186/..
 
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8

A highly parameterizable framework for Conditional Restrict..:

Jakšić, Zoran ; Cadenelli, Nicola ; Prats, David Buchaca...
Future Generation Computer Systems.  104 (2020)  - p. 201-211 , 2020
Link: https://doi.org/10.1016/..
 
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9

A Hardware/Software Co-Design of K-mer Counting Using a CAP..:

, In: 2020 30th International Conference on Field-Programmable Logic and Applications (FPL),
Haghi, Abbas ; Alvarez, Lluc ; Polo, Jorda... - p. 57-64 , 2020
Link: https://doi.org/10.1109/..
 
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10

Considerations in using OpenCL on GPUs and FPGAs for throug..:

Cadenelli, Nicola ; Jaks̆ić, Zoran ; Polo, Jordà.
Future Generation Computer Systems.  94 (2019)  - p. 148-159 , 2019
Link: https://doi.org/10.1016/..
 
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11

Disaggregating Non-Volatile Memory for Throughput-Oriented ..:

, In: Lecture Notes in Computer Science; Euro-Par 2018: Parallel Processing Workshops,
Call, Aaron ; Polo, Jordà ; Carrera, David.. - p. 613-625 , 2018
Link: https://doi.org/10.1007/..
 
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12

Topology-aware GPU scheduling for learning workloads in clo..:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,
Amaral, Marcelo ; Polo, Jordà ; Carrera, David.. - p. 1-12 , 2017
Link: https://dl.acm.org/doi/1..
 
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13

Modeling and performance evaluation of Smith-Waterman algor..:

, In: 2016 13th International Bhurban Conference on Applied Sciences and Technology (IBCAST),
Shafiq, Muhammad ; Polo, Jorda ; Dickov, Branimir. - p. 191-198 , 2016
Link: https://doi.org/10.1109/..
 
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14

Adaptive MapReduce scheduling in shared environments:

, In: Proceedings of the 14th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing,
Polo, Jordà ; Becerra, Yolanda ; Carrera, David... - p. 61-70 , 2014
Link: https://dl.acm.org/doi/1..
 
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15

Resource-aware adaptive scheduling for mapreduce clusters:

, In: Proceedings of the 12th ACM/IFIP/USENIX international conference on Middleware,
Polo, Jordà ; Castillo, Claris ; Carrera, David... - p. 187-207 , 2011
Link: https://dl.acm.org/doi/1..
 
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