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st202
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加入日期: Nov 2004
文章: 693
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作者csshih
就我手上的Fintech專案
這種精度效果很低,非常低
金融業與HFT要得精確度是這個的三四倍不止
這張卡除了挖礦與打電動,我很懷疑還有其他用途
深度學習要看各家library的要求
但是看spark MLlib的計算要求
............................恩.............................
我用星爺的圖好了
http://pic.pimg.tw/mulicia/6d3d4dff...1efdfa0ad_n.jpg


Google的「TensorFlow」也是標榜快速低精度
「Tensor Processing Unit(TPU)」
甚至不是完整的CPU

引用wiki

Tensor processing unit (TPU)

In May 2016 Google announced its tensor processing unit (TPU), a custom ASIC built specifically for machine learning and tailored for TensorFlow. The TPU is a programmable AI accelerator designed to provide high throughput of low-precision arithmetic (e.g., 8-bit), and oriented toward using or running models rather than training them. Google announced they had been running TPUs inside their data centers for more than a year, and have found them to deliver an order of magnitude better-optimized performance per watt for machine learning.[12]
舊 2016-12-19, 01:00 AM #8
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