Accelerating the interior point method on a FPGA
With the dawn of reconfigurable computing, the FPGA has increasingly replaced microcontrollers as a viable alternative in the arena of embedded applications especially in DSP or high performance control applications. FPGA provides engineers the flexibility to employ significant architectural speed-u...
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sg-ntu-dr.10356-186852023-07-04T16:46:06Z Accelerating the interior point method on a FPGA Koh, Christopher Seng Lee Ling Keck Voon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Integrated circuits With the dawn of reconfigurable computing, the FPGA has increasingly replaced microcontrollers as a viable alternative in the arena of embedded applications especially in DSP or high performance control applications. FPGA provides engineers the flexibility to employ significant architectural speed-up using techniques such as pipelining and parallel processing, normally not possible in off-the-shelf processors. Such customized hardware solutions however, hold the primary drawback of long development cycles. The emergence of re-configurable soft-core processors on FPGA during the past decade has changed this reality. Embedded engineers now have an additional option to build a firmware solution running on a reconfigurable microprocessor on FPGA. In addition, they also enjoy the added flexibility of using the remaining resources on the FPGA to build customized hardware-based Co-Processor or accelerators to further enhance the performance the microprocessor. A tightly coupled Co-Processor in co-existence with carefully coded firmware running on a microprocessor could effect in an improvement in performance, whilst maintaining a relatively shorter development life cycle. MASTER OF ENGINEERING (EEE) 2009-07-02T06:53:22Z 2009-07-02T06:53:22Z 2009 2009 Thesis Koh, C. S. L. (2009). Accelerating the interior point method on a FPGA. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/18685 10.32657/10356/18685 en 125 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Integrated circuits Koh, Christopher Seng Lee Accelerating the interior point method on a FPGA |
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With the dawn of reconfigurable computing, the FPGA has increasingly replaced microcontrollers as a viable alternative in the arena of embedded applications especially in DSP or high performance control applications. FPGA provides engineers the flexibility to employ significant architectural speed-up using techniques such as pipelining and parallel processing, normally not possible in off-the-shelf processors. Such customized hardware solutions however, hold the primary drawback of long development cycles.
The emergence of re-configurable soft-core processors on FPGA during the past decade has changed this reality. Embedded engineers now have an additional option to build a firmware solution running on a reconfigurable microprocessor on FPGA. In addition, they also enjoy the added flexibility of using the remaining resources on the FPGA to build customized hardware-based Co-Processor or accelerators to further enhance the performance the microprocessor. A tightly coupled Co-Processor in co-existence with carefully coded firmware running on a microprocessor could effect in an improvement in performance, whilst maintaining a relatively shorter development life cycle. |
author2 |
Ling Keck Voon |
author_facet |
Ling Keck Voon Koh, Christopher Seng Lee |
format |
Theses and Dissertations |
author |
Koh, Christopher Seng Lee |
author_sort |
Koh, Christopher Seng Lee |
title |
Accelerating the interior point method on a FPGA |
title_short |
Accelerating the interior point method on a FPGA |
title_full |
Accelerating the interior point method on a FPGA |
title_fullStr |
Accelerating the interior point method on a FPGA |
title_full_unstemmed |
Accelerating the interior point method on a FPGA |
title_sort |
accelerating the interior point method on a fpga |
publishDate |
2009 |
url |
https://hdl.handle.net/10356/18685 |
_version_ |
1772827774140022784 |