Abstract
The objective of the PULSAR project was to design a programming model suitable for large scale machines with complex memory hierarchies, and to deliver a prototype implementation of a runtime system supporting that model. PULSAR tackled the challenge by proposing a programming model based on systolic processing and virtualization. The PULSAR programming model is quite simple, with point-to-point channels as the main communication abstraction. The runtime implementation is very lightweight and fully distributed, and provides multithreading, message-passing and multi-GPU offload capabilities. Performance evaluation shows good scalability up to one thousand nodes with one thousand GPU accelerators.
| Original language | English |
|---|---|
| Journal | Supercomputing Frontiers and Innovations |
| Volume | 4 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Apr 2017 |
Keywords
- runtime scheduling
- dataflow scheduling
- distributed computing
- Massively parallel computing
- Multicore processors
- Hardware accelerators
- Virtualization
- systolic arrays
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