技术都是有局限性的 - 未名空间MITBBS历史存档

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技术都是有局限性的

技术都是有局限性的# Programming - 葵花宝典

s*s2014-10-23 07:10

1 楼

【以下文字转载自 Automobile 讨论区】
发信人: southsubleas (southsublease), 信区: Automobile
标题: 小白求助，买车的销售税的问题
发信站: BBS 未名空间站 (Thu Nov 5 18:44:48 2015, 美东)
小弟因为工作的问题的，从芝加哥要搬去西雅图。在西雅图就要买车了。最终我发现了
一个销售税的问题。
Illinois 的销售税是6.25， Washington是9.99。。我的驾照是Illionis 的，我也有
很多文件能证明我是Illinois （Utility Bills，Leasing Contract 等）。
Dealer是西雅图的，她说可以帮我注册Illinois，但告诉我说如果我一个月后提车，到
了Seattle之后还是要重新注册，这样我是要叫这个税差的。所以，她说我没有办法去
避开这个税，无论如何我都是要交的，建议我直接注册Washington的。
她说的对吗？我不能理解为什么要重新注册？重新注册真的要重新交税吗？
我看到一个相关的网站，但也没太看懂，第一次买车，又碰上搬家，还希望多指教。谢
谢大家。
http://www.dol.wa.gov/vehicleregistration/moving.html
P.S. 芝加哥的住址是租给朋友的，所以无论如何我都是可以收到信件，同时证明我的
住处的。

s*a2014-10-23 07:10

2 楼

多久比较合适啊？
本来还有两个月就要回国了，想再延半年

n*72014-10-23 07:10

3 楼

http://www.newegg.com/Product/Product.aspx?Item=N82E16833320042&Tpk=ASUS%20RT-N10

j*x2014-10-23 07:10

4 楼

http://www.eecs.berkeley.edu/~hzhao/papers/BD.pdf
We made a case for the importance of single-node enhancements
for cost and power efficiency in large-scale behavioral
data analysis. Single node performance of the BID
Data suite on several common benchmarks is faster than
generic cluster systems (Hadoop, Spark) with 50-100 nodes
and competitive with custom cluster implementations for
specific algorithms. We did not describe any MCMC algorithms,
but these also are an important part of the BID
Data roadmap in future. The toolkit will also include a substantial
subset of tools for causal analysis, and disk-scale
GPU-assisted sorting for data indexing and search tasks.

S*Y2014-10-23 07:10

5 楼

要交的，你搬家了就要换地方了，你驾照也要换的，至少加州是半年之类的新车都要补
。

t*s2014-10-23 07:10

6 楼

现在就可以了。一般提前1-2个月。

g*g2014-10-23 07:10

7 楼

All costs should take into development/maintenance efforts into account.
Also a single node model can be efficient in many ways but once it hits
hardware limit, it's super expensive to scale up and it's not tolerant to
hardware failures. We all know that too well.

【在 j********x 的大作中提到】

: http://www.eecs.berkeley.edu/~hzhao/papers/BD.pdf
: We made a case for the importance of single-node enhancements
: for cost and power efficiency in large-scale behavioral
: data analysis. Single node performance of the BID
: Data suite on several common benchmarks is faster than
: generic cluster systems (Hadoop, Spark) with 50-100 nodes
: and competitive with custom cluster implementations for
: specific algorithms. We did not describe any MCMC algorithms,
: but these also are an important part of the BID
: Data roadmap in future. The toolkit will also include a substantial

j*x2014-10-23 07:10

8 楼

其实都不是too well 技术红卫兵在本版是常态理性讨论水平较低

【在 g*****g 的大作中提到】

: All costs should take into development/maintenance efforts into account.
: Also a single node model can be efficient in many ways but once it hits
: hardware limit, it's super expensive to scale up and it's not tolerant to
: hardware failures. We all know that too well.