84. Execution Statistics#

This table contains the latest execution statistics.

Document

Modified

Method

Run Time (s)

Status

aiyagari

2023-09-22 16:51

cache

30.01

ar1_bayes

2023-09-22 16:59

cache

478.21

ar1_processes

2023-09-22 16:59

cache

6.25

ar1_turningpts

2023-09-22 17:00

cache

70.33

back_prop

2023-09-22 17:02

cache

66.8

bayes_nonconj

2023-09-22 18:07

cache

3953.76

cake_eating_numerical

2023-09-22 18:08

cache

27.59

cake_eating_problem

2023-09-22 18:08

cache

2.51

career

2023-09-22 18:08

cache

19.39

cass_koopmans_1

2023-09-22 18:09

cache

12.65

cass_koopmans_2

2023-09-22 18:09

cache

10.25

coleman_policy_iter

2023-09-22 18:09

cache

22.08

complex_and_trig

2023-09-22 18:09

cache

4.04

cross_product_trick

2023-09-22 18:09

cache

1.48

egm_policy_iter

2023-09-22 18:09

cache

12.11

eig_circulant

2023-09-22 18:09

cache

6.09

exchangeable

2023-09-22 18:10

cache

11.65

finite_markov

2023-09-22 18:10

cache

11.46

ge_arrow

2023-09-22 18:10

cache

2.9

geom_series

2023-09-22 18:10

cache

5.28

harrison_kreps

2023-09-22 18:10

cache

8.2

heavy_tails

2023-09-22 18:10

cache

1.29

hoist_failure

2023-09-22 18:12

cache

79.28

house_auction

2023-09-22 18:12

cache

7.42

ifp

2023-09-22 18:12

cache

37.97

ifp_advanced

2023-09-22 18:13

cache

27.3

imp_sample

2023-09-22 18:17

cache

276.36

intro

2023-09-22 18:10

cache

1.29

inventory_dynamics

2023-09-22 18:18

cache

13.39

jv

2023-09-22 18:18

cache

26.28

kalman

2023-09-22 18:18

cache

12.68

kesten_processes

2023-09-22 18:19

cache

48.65

lagrangian_lqdp

2023-09-22 18:19

cache

22.62

lake_model

2023-09-22 18:20

cache

22.33

likelihood_bayes

2023-09-22 18:21

cache

48.78

likelihood_ratio_process

2023-09-22 18:21

cache

11.64

linear_algebra

2023-09-22 18:21

cache

3.29

linear_models

2023-09-22 18:21

cache

12.21

lln_clt

2023-09-22 18:21

cache

16.38

lp_intro

2023-09-22 18:21

cache

2.45

lq_inventories

2023-09-22 18:22

cache

24.96

lqcontrol

2023-09-22 18:22

cache

10.53

markov_asset

2023-09-22 18:22

cache

10.98

markov_perf

2023-09-22 18:22

cache

9.4

mccall_correlated

2023-09-22 18:23

cache

39.63

mccall_fitted_vfi

2023-09-22 18:23

cache

16.94

mccall_model

2023-09-22 18:24

cache

20.95

mccall_model_with_separation

2023-09-22 18:24

cache

12.33

mccall_q

2023-09-22 18:24

cache

26.24

mix_model

2023-09-22 18:25

cache

35.55

mle

2023-09-22 18:25

cache

6.48

multi_hyper

2023-09-22 18:26

cache

29.26

multivariate_normal

2023-09-22 18:26

cache

6.33

navy_captain

2023-09-22 18:26

cache

39.66

newton_method

2023-09-22 18:28

cache

103.6

odu

2023-09-22 18:29

cache

60.9

ols

2023-09-22 18:29

cache

15.52

opt_transport

2023-09-22 18:30

cache

24.24

optgrowth

2023-09-22 18:31

cache

91.85

optgrowth_fast

2023-09-22 18:32

cache

31.66

pandas_panel

2023-09-22 18:32

cache

5.72

perm_income

2023-09-22 18:32

cache

10.8

perm_income_cons

2023-09-22 18:32

cache

11.76

prob_matrix

2023-09-22 18:33

cache

13.28

prob_meaning

2023-09-22 18:34

cache

84.76

qr_decomp

2023-09-22 18:34

cache

1.9

rand_resp

2023-09-22 18:34

cache

3.3

rational_expectations

2023-09-22 18:34

cache

8.41

re_with_feedback

2023-09-22 18:34

cache

13.24

samuelson

2023-09-22 18:35

cache

19.82

scalar_dynam

2023-09-22 18:35

cache

5.5

schelling

2023-09-22 18:35

cache

3.89

short_path

2023-09-22 18:35

cache

1.44

sir_model

2023-09-22 18:35

cache

4.26

status

2023-09-22 18:10

cache

1.29

svd_intro

2023-09-22 18:35

cache

2.03

troubleshooting

2023-09-22 18:10

cache

1.29

two_auctions

2023-09-22 18:35

cache

19.01

uncertainty_traps

2023-09-22 18:35

cache

3.82

util_rand_resp

2023-09-22 18:36

cache

4.09

var_dmd

2023-09-22 18:10

cache

1.29

von_neumann_model

2023-09-22 18:36

cache

3.11

wald_friedman

2023-09-22 18:36

cache

25.62

wealth_dynamics

2023-09-22 18:37

cache

44.73

zreferences

2023-09-22 18:10

cache

1.29

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.