Name
Abstract | ||
|---|---|---|
SWITCHES is a task-based dataflow runtime that implements a lightweight distributed triggering system for runtime dependence resolution and uses static scheduling and compile-time assignment policies to reduce runtime overheads. Unlike other systems, the granularity of loop-tasks can be increased to favor data-locality, even when having dependences across different loops. SWITCHES introduces explicit task resource allocation mechanisms for efficient allocation of resources and adopts the latest OpenMP Application Programming Interface (API), as to maintain high levels of programming productivity. It provides a source-to-source tool that automatically produces thread-based code. Performance on an Intel Xeon-Phi shows good scalability and surpasses OpenMP by an average of 32%.
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Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3127068 | TACO |
Keywords | Field | DocType |
Many-core, SWITCHES, dataflow, parallel programming, runtime system, tasks | Signal programming,Computer science,Parallel computing,Thread (computing),Runtime verification,Real-time computing,Dataflow,Resource allocation,Application programming interface,Scalability,Runtime system | Journal |
Volume | Issue | ISSN |
14 | 3 | 1544-3566 |
Citations | PageRank | References |
0 | 0.34 | 19 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andreas Diavastos | 1 | 9 | 4.48 |
| Pedro Trancoso | 2 | 377 | 43.79 |