Name
Title | ||
|---|---|---|
Runtime Support for Multiple Offload-Based Programming Models on Clustered Manycore Accelerators. |
Abstract | ||
|---|---|---|
Heterogeneous systems coupling a main host processor with one or more manycore accelerators are being adopted virtually at every scale to achieve ever-increasing GOps/Watt targets. The increased hardware complexity of such systems is paired at the application level by a growing number of applications concurrently running on the system. Techniques that enable efficient accelerator resources sharing... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TETC.2016.2554318 | IEEE Transactions on Emerging Topics in Computing |
Keywords | Field | DocType |
Programming,Computational modeling,Hardware,Kernel,Runtime,Parallel processing | Space partitioning,Kernel (linear algebra),Use case,Programming paradigm,Computer science,Scheduling (computing),Real-time computing,Modular design,Embedded system,Runtime system,Performance improvement | Journal |
Volume | Issue | ISSN |
6 | 3 | 2168-6750 |
Citations | PageRank | References |
1 | 0.38 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alessandro Capotondi | 1 | 39 | 8.25 |
| Andrea Marongiu | 2 | 337 | 39.19 |
| Luca Benini | 3 | 13116 | 1188.49 |