Preliminary experiments with Maxeler framework
With an increasing volume and velocity of data in today's applications in many industries such as financial, healthcare and weather predictions, new acceleration tools and methods are coming up rapidly. There is an insatiable demand for more computing power while also achieving accurate and fas...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2014
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| Online Access: | http://hdl.handle.net/10356/58989 |
| _version_ | 1826118810173702144 |
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| author | Choo, Yong Cheng |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Choo, Yong Cheng |
| author_sort | Choo, Yong Cheng |
| collection | NTU |
| description | With an increasing volume and velocity of data in today's applications in many industries such as financial, healthcare and weather predictions, new acceleration tools and methods are coming up rapidly. There is an insatiable demand for more computing power while also achieving accurate and fast results. High Performance Computing is the backbone of these new accelerators.
I will be surveying existing techniques on acceleration for complex calculations in the computational finance industry with the 3 platforms CPU, GPU and FPGA. Thus, I will be reporting speedups and conduct detailed experiments to quantify benefits of acceleration in comparison of the 3 platforms.
At the end of the day, the deliverable is to use utilize Maxeler framework to optimise and choose the best fit 3D Convolution Array Blocking size. |
| first_indexed | 2024-10-01T04:49:54Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/58989 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:49:54Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | ntu-10356/589892023-03-03T20:53:18Z Preliminary experiments with Maxeler framework Choo, Yong Cheng School of Computer Engineering Advanced Digital Sciences Center Centre for High Performance Embedded Systems Nachiket Kapre DRNTU::Engineering::Computer science and engineering::Computer systems organization::Performance of systems With an increasing volume and velocity of data in today's applications in many industries such as financial, healthcare and weather predictions, new acceleration tools and methods are coming up rapidly. There is an insatiable demand for more computing power while also achieving accurate and fast results. High Performance Computing is the backbone of these new accelerators. I will be surveying existing techniques on acceleration for complex calculations in the computational finance industry with the 3 platforms CPU, GPU and FPGA. Thus, I will be reporting speedups and conduct detailed experiments to quantify benefits of acceleration in comparison of the 3 platforms. At the end of the day, the deliverable is to use utilize Maxeler framework to optimise and choose the best fit 3D Convolution Array Blocking size. Bachelor of Engineering (Computer Engineering) 2014-04-17T09:12:46Z 2014-04-17T09:12:46Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/58989 en Nanyang Technological University 41 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computer systems organization::Performance of systems Choo, Yong Cheng Preliminary experiments with Maxeler framework |
| title | Preliminary experiments with Maxeler framework |
| title_full | Preliminary experiments with Maxeler framework |
| title_fullStr | Preliminary experiments with Maxeler framework |
| title_full_unstemmed | Preliminary experiments with Maxeler framework |
| title_short | Preliminary experiments with Maxeler framework |
| title_sort | preliminary experiments with maxeler framework |
| topic | DRNTU::Engineering::Computer science and engineering::Computer systems organization::Performance of systems |
| url | http://hdl.handle.net/10356/58989 |
| work_keys_str_mv | AT chooyongcheng preliminaryexperimentswithmaxelerframework |