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Timeline of @cmci_

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RT @StifelCenter: A visual programming language for ImageJ that allows to create macros without any programming by just creating a flowchar…
About 1 week, 5 days ago by: Kota Miura (@cmci_)

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@naba_chatterjee @haesleinhuepf I'm afraid not
About 1 week, 6 days ago by: Kota Miura (@cmci_)

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Symposium Programme 2023: BioImage Data Analysis: Tools & Workflows in Life Sciences Deep Learning for Image Data… https://t.co/ZfjtsDdyFK
About 1 week, 6 days ago by: Kota Miura (@cmci_)

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Training School 2023 Introduction to bioimage analysis, tools, and workflows FAIR principles Cloud-hosted image da… https://t.co/FnzmoxI2Eb
About 1 week, 6 days ago by: Kota Miura (@cmci_)

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IN-PERSON #NEUBIAS training school and symposium! Deadline for the Training school on Wednesday... sorry for this b… https://t.co/8rbitWsBka
About 1 week, 6 days ago by: Kota Miura (@cmci_)

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RT @BertrandVernay: Beautiful 3D dataset; One of them is going to find its way to our @RISE_micro "Introduction to image processing and ana…
About 2 weeks, 3 days ago by: Kota Miura (@cmci_)
blogtng:2023-02-06:silicon_appleとgpu処理

Silicon AppleとGPU処理

MacBook Air (M1)でCLIJを使ったベンチマークをメモ。速度はCPUに比較して20倍から35倍の処理速度になる。 ベンチマークは開発のレポジトリにあるマクロをそのまま使った。三次元の平均フィルタ処理。自分で畳み込みのカーネルを作った場合には、差はあまりないが、二倍程度、早くなる。

https://github.com/clij/clij2-docs/blob/master/src/main/macro/benchmarking.ijm

CPU mean filter no 1 took 2687 msec
CPU mean filter no 2 took 1759 msec
CPU mean filter no 3 took 1959 msec
CPU mean filter no 4 took 2253 msec
CPU mean filter no 5 took 2557 msec
CPU mean filter no 6 took 3406 msec
CPU mean filter no 7 took 3526 msec
CPU mean filter no 8 took 3722 msec
CPU mean filter no 9 took 3520 msec
CPU mean filter no 10 took 3419 msec
Pushing one image to the GPU took 56 msec
CLIJ2 GPU mean filter no 1 took 740 msec
CLIJ2 GPU mean filter no 2 took 92 msec
CLIJ2 GPU mean filter no 3 took 90 msec
CLIJ2 GPU mean filter no 4 took 90 msec
CLIJ2 GPU mean filter no 5 took 92 msec
CLIJ2 GPU mean filter no 6 took 89 msec
CLIJ2 GPU mean filter no 7 took 91 msec
CLIJ2 GPU mean filter no 8 took 93 msec
CLIJ2 GPU mean filter no 9 took 99 msec
CLIJ2 GPU mean filter no 10 took 92 msec
Preparing the convolution kernel in GPU memory took 43 msec
CLIJ2 GPU mean filter using convolution no 1 took 1500 msec
CLIJ2 GPU mean filter using convolution no 2 took 1471 msec
CLIJ2 GPU mean filter using convolution no 3 took 1620 msec
CLIJ2 GPU mean filter using convolution no 4 took 1551 msec
CLIJ2 GPU mean filter using convolution no 5 took 1546 msec
CLIJ2 GPU mean filter using convolution no 6 took 1588 msec
CLIJ2 GPU mean filter using convolution no 7 took 1475 msec
CLIJ2 GPU mean filter using convolution no 8 took 1489 msec
CLIJ2 GPU mean filter using convolution no 9 took 1446 msec
CLIJ2 GPU mean filter using convolution no 10 took 1551 msec
CLIJ GPU mean filter no 1 took 1308 msec
CLIJ GPU mean filter no 2 took 106 msec
CLIJ GPU mean filter no 3 took 99 msec
CLIJ GPU mean filter no 4 took 97 msec
CLIJ GPU mean filter no 5 took 100 msec
CLIJ GPU mean filter no 6 took 96 msec
CLIJ GPU mean filter no 7 took 140 msec
CLIJ GPU mean filter no 8 took 116 msec
CLIJ GPU mean filter no 9 took 96 msec
CLIJ GPU mean filter no 10 took 99 msec
Pulling one image from the GPU took 2148 msec
GPU: Apple M1
Memory in GB: 16
OpenCL version: 1.2

blogtng/2023-02-06/silicon_appleとgpu処理.txt · Last modified: 2023/02/06 09:10 by kota