Takeshi Hashimoto

Takeshi Hashimoto

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Takeshi Hashimoto
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この「超吸水オブジェ」を知ってしまったら、もう、ふきんには戻れない。 | TABI LABO

この「超吸水オブジェ」を知ってしまったら、もう、ふきんには戻れない。 | TABI LABO

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6344556224184320

この「超吸水オブジェ」を知ってしまったら、もう、ふきんには戻れない。 | TABI LABO

この「超吸水オブジェ」を知ってしまったら、もう、ふきんには戻れない。 | TABI LABO

多くのファンが支持する美しいワイヤー室内物干し/洗濯物干し 。pid4M

多くのファンが支持する美しいワイヤー室内物干し/洗濯物干し 。pid4M

Pearltrees lets you organize all your interests

Pearltrees lets you organize all your interests

MIT OpenCourseWare | Electrical Engineering and Computer Science | 6.00 Introduction to Computer Science and Programming, Fall 2008 | Video Lectures

MIT opencourseware Intro to Computer Science- this lecturer is much more laid back and enjoyable to listen to, but this class doesn't come with the handouts and homework problems.

The Cluster HAT interfaces a (Controller) Raspberry Pi A+/B+/2/3 with 4 Raspberry Pi Zeros (NOT included). Configured to use USB Gadget mode, it is an ideal tool for teaching, testing or simulating small scale clusters.

The Cluster HAT interfaces a (Controller) Raspberry Pi with 4 Raspberry Pi Zeros (NOT included). Configured to use USB Gadget mode, it is an ideal tool for teaching, testing or simulating small scale clusters.

The Cluster HAT interfaces a (Controller) Raspberry Pi A+/B+/2/3 with 4 Raspberry Pi Zeros (NOT included). Configured to use USB Gadget mode, it is an ideal tool for teaching, testing or simulating small scale clusters.

The Cluster HAT interfaces a (Controller) Raspberry Pi with 4 Raspberry Pi Zeros (NOT included). Configured to use USB Gadget mode, it is an ideal tool for teaching, testing or simulating small scale clusters.

Last week we put together the first large scale Parallella cluster. The system consisted of 42 Parallella boards (for a total of 756 CPUs), with the total power consumption coming in under 500 Watts. This makes it possibly one of the densest clusters in the world thanks to the Parallella board! We have been drinking the Parallella cool-aid for a long time, but we were still surprised by how easy it was to put this together.:-)By constructing our very own Parallella cluster we received…

Adapteva is raising funds for Parallella: A Supercomputer For Everyone on Kickstarter! The Parallella project will make parallel computing accessible to everyone.