M OKADA Yuki
をテンプレートにして作成
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開始行:
[[AIRBiS Project]]
----
CENTER:COLOR(#990055){SIZE(40){''Parallelization and Hardware Mapping of CNN for AI-Enabled Biomedical System on FPGA'' }}
----
[[Yuki Okada]]
*AIRBiS progress meeting [#f5568590]
-[[AIRBiS Minutes]]
----
*Background [#hdf7ab88]
With the Coronavirus disease (COVID-19)
disrupting large part of the world, the number
of patients has grown progressively. For
dealing with this serious emergency, accurate
diagnosis and fast reporting are two
significant mechanisms.
*Research Goal [#peb277c4]
My research goal is to implement,
optimize, and evaluate a deep neural
network (i.e., CNN) for an ongoing project
named AIRBiS System using FPGA and
based on packet-switched 2D network on
chip.
1.Given the resulted source code (TensorFlow,
Python) from software implementation, to realize a
CNN for pneumonia detection system on hardware
(Xilinx platform, conventional FPGA board)
2.Perform evaluation on non-NoC FPGA w.r.t. some
key indices:
Accuracy
Power consumption
Complexity
Etc..
*Research Schedule [#q0b5e376]
|Date|Task|
|☑️June 1 - June 31, 2020|Read papers|
|July 1 - July 31, 2020|Understanding and executing Mr. Nakamura's GT |
|August 1 - October 31|Implement own system architecture |
|September 1 - September 31|Create interim presentation |
|September 1 - November 31 |Simulate and Write paper to [[International ACM conference>https://etltc-acmchap-japanconf.org/]]|
|November 1 - January 31|Write thesis|
CENTER:COLOR(red){''Schedule last Updated on: MM/DD/YYYY ???''}
*Researech Progress [#m562b08f]
slide:
&ref(June progress report.pdf);
&ref(July progress report.pdf);
&ref(August progress report.pdf);
Report:
&ref(AugustProgressReports1250129YuukiOkada.pptx);
*References [#f5a18ef1]
-[[My SharedGoogle Folder>https://drive.google.com/drive/folders/1dlzzlEMU1MNHtDTNkS6rPjWpJllpsCWl?usp=sharing]]
-[[Power Estimation with Vivado>https://www.xilinx.com/video/hardware/power-estimation-analysis-using-vivado.html]]
終了行:
[[AIRBiS Project]]
----
CENTER:COLOR(#990055){SIZE(40){''Parallelization and Hardware Mapping of CNN for AI-Enabled Biomedical System on FPGA'' }}
----
[[Yuki Okada]]
*AIRBiS progress meeting [#f5568590]
-[[AIRBiS Minutes]]
----
*Background [#hdf7ab88]
With the Coronavirus disease (COVID-19)
disrupting large part of the world, the number
of patients has grown progressively. For
dealing with this serious emergency, accurate
diagnosis and fast reporting are two
significant mechanisms.
*Research Goal [#peb277c4]
My research goal is to implement,
optimize, and evaluate a deep neural
network (i.e., CNN) for an ongoing project
named AIRBiS System using FPGA and
based on packet-switched 2D network on
chip.
1.Given the resulted source code (TensorFlow,
Python) from software implementation, to realize a
CNN for pneumonia detection system on hardware
(Xilinx platform, conventional FPGA board)
2.Perform evaluation on non-NoC FPGA w.r.t. some
key indices:
Accuracy
Power consumption
Complexity
Etc..
*Research Schedule [#q0b5e376]
|Date|Task|
|☑️June 1 - June 31, 2020|Read papers|
|July 1 - July 31, 2020|Understanding and executing Mr. Nakamura's GT |
|August 1 - October 31|Implement own system architecture |
|September 1 - September 31|Create interim presentation |
|September 1 - November 31 |Simulate and Write paper to [[International ACM conference>https://etltc-acmchap-japanconf.org/]]|
|November 1 - January 31|Write thesis|
CENTER:COLOR(red){''Schedule last Updated on: MM/DD/YYYY ???''}
*Researech Progress [#m562b08f]
slide:
&ref(June progress report.pdf);
&ref(July progress report.pdf);
&ref(August progress report.pdf);
Report:
&ref(AugustProgressReports1250129YuukiOkada.pptx);
*References [#f5a18ef1]
-[[My SharedGoogle Folder>https://drive.google.com/drive/folders/1dlzzlEMU1MNHtDTNkS6rPjWpJllpsCWl?usp=sharing]]
-[[Power Estimation with Vivado>https://www.xilinx.com/video/hardware/power-estimation-analysis-using-vivado.html]]
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