40. Execution Statistics#

This table contains the latest execution statistics.

Document

Modified

Method

Run Time (s)

Status

business_cycle

2023-09-25 01:19

cache

16.35

cagan_adaptive

2023-09-25 01:19

cache

3.3

cagan_ree

2023-09-25 01:19

cache

4.76

cobweb

2023-09-25 01:19

cache

3.64

commod_price

2023-09-25 01:20

cache

21.82

cons_smooth

2023-09-25 01:20

cache

2.46

eigen_I

2023-09-25 01:20

cache

6.02

eigen_II

2023-09-25 01:20

cache

8.67

equalizing_difference

2023-09-25 01:20

cache

3.26

geom_series

2023-09-25 01:20

cache

3.71

heavy_tails

2023-09-25 01:21

cache

20.72

inequality

2023-09-25 01:27

cache

402.69

inflation_history

2023-09-25 01:28

cache

11.36

input_output

2023-09-25 01:28

cache

16.68

intro

2023-09-25 01:28

cache

1.21

intro_supply_demand

2023-09-25 01:28

cache

2.54

lake_model

2023-09-25 01:28

cache

3.4

linear_equations

2023-09-25 01:28

cache

2.56

lln_clt

2023-09-25 01:31

cache

202.86

long_run_growth

2023-09-25 01:32

cache

10.45

lp_intro

2023-09-25 01:32

cache

7.71

markov_chains_I

2023-09-25 01:32

cache

12.81

markov_chains_II

2023-09-25 01:32

cache

8.64

mle

2023-09-25 01:32

cache

8.46

monte_carlo

2023-09-25 01:33

cache

21.8

networks

2023-09-25 01:33

cache

11.62

olg

2023-09-25 01:33

cache

3.43

prob_dist

2023-09-25 01:33

cache

10.51

pv

2023-09-25 01:33

cache

2.11

scalar_dynam

2023-09-25 01:33

cache

3.95

schelling

2023-09-25 01:33

cache

17.21

short_path

2023-09-25 01:33

cache

1.25

simple_linear_regression

2023-09-25 01:34

cache

4.59

solow

2023-09-25 01:34

cache

5.41

status

2023-09-25 01:28

cache

1.21

supply_demand_heterogeneity

2023-09-25 01:34

cache

2.0

supply_demand_multiple_goods

2023-09-25 01:34

cache

2.84

time_series_with_matrices

2023-09-25 01:34

cache

3.79

troubleshooting

2023-09-25 01:28

cache

1.21

zreferences

2023-09-25 01:28

cache

1.21

These lectures are built on linux instances through github actions and amazon web services (aws) to enable access to a gpu. These lectures are built on a p3.2xlarge that has access to 8 vcpu's, a V100 NVIDIA Tesla GPU, and 61 Gb of memory.