Name
Abstract | ||
|---|---|---|
Traditionally, HPC workloads are characterized by different requirements in CPU and memory resources, which in addition vary over time in unpredictable manner. For this reason, HPC system designs, assuming physical co-location of CPU and memory on a single motherboard, strongly limit scalability, while leading to inefficient resources over-provisioning. Also, peripherals available in the system need to be globally accessible to allow optimal usage. In this context, modern HPC designs tend to support disaggregated memory, compute nodes, remote peripherals and hardware extensions to support virtualization techniques. In this paper, a qualitative survey on different attempts of memory and devices disaggregation is conducted. In addition, alternative future directions for devices disaggregation are proposed in the context of the work planned in the H2020 dRedBox project. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/CSE-EUC-DCABES.2016.185 | 2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES) |
Keywords | Field | DocType |
HPC,memory disaggregation,cpu disaggregation,HPC virtualization | Resource management,Virtualization,Motherboard,Computer science,Memory management,Software,Scalability,Embedded system,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-5090-3594-6 | 1 | 0.35 |
References | Authors | |
8 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maciej Bielski | 1 | 1 | 0.35 |
| Christian Pinto | 2 | 85 | 8.12 |
| D. Raho | 3 | 6 | 1.53 |
| Renaud Pacalet | 4 | 260 | 24.51 |