Name
Title | ||
|---|---|---|
A Fault Tolerant and Deadline Constrained Sequence Alignment Application on Cloud-Based Spot GPU Instances |
Abstract | ||
|---|---|---|
Pairwise sequence alignment is an important application to identify regions of similarity that may indicate the relationship between two biological sequences. This is a computationally intensive task that usually requires parallel processing to provide realistic execution times. This work introduces a new framework for a deadline constrained application of sequence alignment, called MASA-CUDAlign, that exploits cloud computing with Spot GPU instances. Although much cheaper than On-Demand instances, Spot GPUs can be revoked at any time, so the framework is also able to restart MASA-CUDAlign from a checkpoint in a new instance when a revocation occurs. We evaluate the proposed framework considering five pairs of DNA sequences and different AWS instances. Our results show that the framework reduces financial costs when compared to On-Demand GPU instances while meeting the deadlines even in scenarios with several instances revocations. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/978-3-030-85665-6_20 | EURO-PAR 2021: PARALLEL PROCESSING |
Keywords | DocType | Volume |
Cloud computing, Spot GPU, Sequence alignment | Conference | 12820 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rafaela C. Brum | 1 | 0 | 0.34 |
| Walisson P. Sousa | 2 | 0 | 0.34 |
| Alba Cristina Magalhaes Alves De Melo | 3 | 253 | 33.90 |
| Cristiana Bentes | 4 | 60 | 17.06 |
| Maria Clicia Castro | 5 | 18 | 5.21 |
| Lúcia Maria de A. Drummond | 6 | 179 | 23.31 |