Abstract
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.
Original language | English |
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Title of host publication | Proceedings of the 2017 Design, Automation and Test in Europe, DATE 2017 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 404-409 |
Number of pages | 6 |
ISBN (Electronic) | 9783981537093 |
DOIs | |
Publication status | Published - 11 May 2017 |
Externally published | Yes |
Event | 20th Design, Automation and Test in Europe, DATE 2017 - Swisstech, Lausanne, Switzerland Duration: 27 Mar 2017 → 31 Mar 2017 |
Conference
Conference | 20th Design, Automation and Test in Europe, DATE 2017 |
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Country/Territory | Switzerland |
City | Swisstech, Lausanne |
Period | 27/03/17 → 31/03/17 |