From exaflop to exaflow
| Autor: | Tobias Becker, Anna Maria Nestorov, Enrico Reggiani, Hristina Palikareva, Pavel Burovskiy, Georgi Gaydadjiev |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Computer performance
Computer science Dataflow 0206 medical engineering 020207 software engineering 02 engineering and technology Parallel computing Exascale computing Data flow diagram Computer engineering 0202 electrical engineering electronic engineering information engineering Field-programmable gate array Execution model 020602 bioinformatics Efficient energy use |
| Zdroj: | Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 DATE |
| DOI: | 10.23919/DATE.2017.7927024 |
| Popis: | Exascale computing is facing a gap between the ever increasing demand for application performance and the underlying chip technology that does no longer deliver the expected exponential increases in CPU performance. The industry is now progressively moving towards dedicated accelerators to deliver high performance and better energy efficiency. However, the question of programmability still remains. To address this challenge we propose a dedicated high-level accelerator programming and execution model where performance and efficiency are primary targets. Our model splits the computation into a conventional CPU-oriented part and a highly efficient fully programmable data flow part. We present a number of systematic transformations and optimisations targeting Maxeler dataflow systems that typically yield one to two orders of magnitude improvements in terms of both performance and energy efficiency. These significant gains are enabled by addressing fundamental algorithmic properties and on-demand numerical requirements. This approach is demonstrated by a case study from computational finance. |
| Databáze: | OpenAIRE |
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