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Power and Performance Optimization in FPGA-Accelerated Clouds
Julio Ricardo Proaño Orellana
Spatial Data Infrastructure Research Group Artificial Intelligence Geoportals and Applied Computing (IDE IA GEO CA)
Research output
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Contribution to journal
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Article
4
Scopus citations
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Mathematics
Assignment
15%
Costs
12%
Data Center
14%
Deadline
11%
Electronic Commerce
13%
Energy
23%
Energy Consumption
13%
Energy Management
16%
Energy Saving
29%
Evaluation
6%
Field Programmable Gate Array
95%
Hardware Accelerator
17%
Hardware Architecture
15%
Heterogeneous Systems
13%
Multimedia
12%
Necessary
5%
Performance
25%
Performance Optimization
100%
Requirements
6%
Resource Allocation
11%
Resource Management
13%
Resources
16%
Scaling
7%
Scheduler
12%
Scheduling
17%
Server
18%
Throughput
11%
Vertical
7%
Engineering & Materials Science
Computer hardware
10%
Costs
3%
Energy conservation
13%
Energy management
8%
Energy utilization
6%
Environmental impact
8%
Field programmable gate arrays (FPGA)
49%
Operating costs
8%
Particle accelerators
8%
Program processors
7%
Resource allocation
7%
Scheduling
11%
Servers
12%
Throughput
6%