SWITCHES: A lightweight runtime for dataflow execution of tasks on many-cores
| Autor: | Diavastos, Andreas, Trancoso, Pedro |
|---|---|
| Přispěvatelé: | Trancoso, Pedro [0000-0002-2776-9253], Diavastos, Andreas [0000-0002-7139-4444] |
| Rok vydání: | 2017 |
| Předmět: |
020203 distributed computing
Signal programming Application programming interface Dataflow Computer science Runtime verification Parallel programming 02 engineering and technology Parallel computing Thread (computing) SWITCHES Many-core Runtime system Hardware and Architecture 020204 information systems Scalability 0202 electrical engineering electronic engineering information engineering Resource allocation Software Tasks Information Systems |
| Zdroj: | ACM Transactions on Architecture and Code Optimization ACM Trans.Archit.Code Optim. |
| Popis: | 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%. |
| Databáze: | OpenAIRE |
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