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Latency Comparison Numbers (~2012) | |
---------------------------------- | |
L1 cache reference 0.5 ns | |
Branch mispredict 5 ns | |
L2 cache reference 7 ns 14x L1 cache | |
Mutex lock/unlock 25 ns | |
Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
Compress 1K bytes with Zippy 3,000 ns 3 us | |
Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |
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import os | |
import struct | |
import numpy as np | |
""" | |
MNist loading helper for Python 2.7. | |
For Python 3.x, see https://gist.github.com/akesling/42393ccb868125071fdea77d98a0d2f0 | |
Loosely inspired by http://abel.ee.ucla.edu/cvxopt/_downloads/mnist.py |
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def glimpse(df, maxvals=10, maxlen=110): | |
print('Shape: ', df.shape) | |
def pad(y): | |
max_len = max([len(x) for x in y]) | |
return [x.ljust(max_len) for x in y] | |
# Column Name | |
toprnt = pad(df.columns.tolist()) | |