Holistic Integration of Emerging Supercomputing Technologies (Hi-EST) is a 5-year project funded by an ERC Starting Grant (GA 639595) awarded to Dr. David Carrera.
Hi-EST aims to address a new class of the placement problem, a challenge for computational sciences that consists in mapping workloads on top of hardware resources with the goal to maximize the performance of workloads and the utilization of resources. The objective of the placement problem is to perform a more efficient management of the computing infrastructure by continuously adjusting the number and type of resources allocated to each workload.
Placement, in this context, is well known for being NP-hard, and resembles the multi-dimensional knapsack problem. Heuristics have been used in the past for different domains, providing vertical solutions that cannot be generalized. When the workload mix is heterogeneous and the infrastructure hybrid, the problem becomes even more challenging. This is the problem that Hi-EST plans to address. HiEST involves research in Adaptive Learning Algorithms, Task Placement and Scheduling Algorithms, Data Placement Strategies and Software Defined Environments.
More information about the project at hiest.bsc.es
Research Fields
Computer science - Autonomic computing
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| yes |
| Spain |
| All |
| All |
| http://www.bsc.es/about-bsc/employment/vacancies/hiest-phd-placement |
| Early stage researcher or 0-4 yrs (Post graduate) |
| First Stage Researcher (R1) |
| yes |