alionkun

## sharded_ps_benchmark.py
#!/usr/bin/env python
# Benchmark transferring data, part of troubleshooting https://github.com/tensorflow/tensorflow/issues/6116
#
# Take a independent workers communicating with b parameter shards
# Each worker tries to add to variables stored on parameter server as fast as
# possible.
#
# macbook
# ps=1: 1.6 GB/s
# ps=2: 2.6 GB/s

## local_distributed_benchmark.py
"""Benchmark tensorflow distributed by adding vector of ones on worker2
to variable on worker1 as fast as possible.

On 2014 macbook, TensorFlow 0.10 this shows

Local rate:       2175.28 MB per second
Distributed rate: 107.13 MB per second

"""

## min-char-rnn.py
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

## latency.txt
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
	#!/usr/bin/env python
	# Benchmark transferring data, part of troubleshooting https://github.com/tensorflow/tensorflow/issues/6116
	#
	# Take a independent workers communicating with b parameter shards
	# Each worker tries to add to variables stored on parameter server as fast as
	# possible.
	#
	# macbook
	# ps=1: 1.6 GB/s
	# ps=2: 2.6 GB/s
	"""Benchmark tensorflow distributed by adding vector of ones on worker2
	to variable on worker1 as fast as possible.

	On 2014 macbook, TensorFlow 0.10 this shows

	Local rate: 2175.28 MB per second
	Distributed rate: 107.13 MB per second

	"""
	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)
	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