From 554fd8c5195424bdbcabf5de30fdc183aba391bd Mon Sep 17 00:00:00 2001 From: upstream source tree Date: Sun, 15 Mar 2015 20:14:05 -0400 Subject: obtained gcc-4.6.4.tar.bz2 from upstream website; verified gcc-4.6.4.tar.bz2.sig; imported gcc-4.6.4 source tree from verified upstream tarball. downloading a git-generated archive based on the 'upstream' tag should provide you with a source tree that is binary identical to the one extracted from the above tarball. if you have obtained the source via the command 'git clone', however, do note that line-endings of files in your working directory might differ from line-endings of the respective files in the upstream repository. --- ...rity_queue_random_int_push_pop_timing_test.html | 161 +++++++++++++++++++++ 1 file changed, 161 insertions(+) create mode 100644 libstdc++-v3/doc/html/ext/pb_ds/priority_queue_random_int_push_pop_timing_test.html (limited to 'libstdc++-v3/doc/html/ext/pb_ds/priority_queue_random_int_push_pop_timing_test.html') diff --git a/libstdc++-v3/doc/html/ext/pb_ds/priority_queue_random_int_push_pop_timing_test.html b/libstdc++-v3/doc/html/ext/pb_ds/priority_queue_random_int_push_pop_timing_test.html new file mode 100644 index 000000000..903331d9d --- /dev/null +++ b/libstdc++-v3/doc/html/ext/pb_ds/priority_queue_random_int_push_pop_timing_test.html @@ -0,0 +1,161 @@ + + + + + +Priority Queue Random Int Push Pop Timing Test + + + +
+

Priority Queue Random Integer push and + pop Timing Test

+

Description

+

This test inserts a number of values with i.i.d. integer + keys into a container using push , then removes them + using pop . It measures the average time for + push and pop as a function of the number of + values.

+

(The test was executed with +priority_queue_random_int_push_pop_timing_test + thirty_years_among_the_dead_preproc.txt 200 200 2100)

+

Purpose

+

The test checks the effect of different underlying + data structures (see Design::Priority + Queues::Implementations).

+

Results

+

Figures NPG, NPM, and + NPL shows the results for the native + priority queues and pb_ds 's priority queues in + g++, + msvc++, and + local, + respectively.

+
+
+
+
+
no image
NPG: Native and pb ds priority queue push pop timing test - g++

In the above figure, the names in the legends have the following meaning:

+
    +
  1. +thin_heap- +priority_queue + with Tag = thin_heap_tag +
  2. +
  3. +rc_binomial_heap- +priority_queue + with Tag = rc_binomial_heap_tag +
  4. +
  5. +binomial_heap- +priority_queue + with Tag = binomial_heap_tag +
  6. +
  7. +pairing_heap- +priority_queue + with Tag = pairing_heap_tag +
  8. +
  9. +n_pq_deque- +std::priority_queue adapting std::deque
  10. +
  11. +n_pq_vector- +std::priority_queue adapting std::vector
  12. +
  13. +binary_heap- +priority_queue + with Tag = binary_heap_tag +
  14. +
+
+
+
+
+
+
+
+
+
+
no image
NPM: Native and pb ds priority queue push pop timing test - msvc++

In the above figure, the names in the legends have the following meaning:

+
    +
  1. +thin_heap- +priority_queue + with Tag = thin_heap_tag +
  2. +
  3. +rc_binomial_heap- +priority_queue + with Tag = rc_binomial_heap_tag +
  4. +
  5. +binomial_heap- +priority_queue + with Tag = binomial_heap_tag +
  6. +
  7. +pairing_heap- +priority_queue + with Tag = pairing_heap_tag +
  8. +
  9. +n_pq_deque- +std::priority_queue adapting std::deque
  10. +
  11. +n_pq_vector- +std::priority_queue adapting std::vector
  12. +
  13. +binary_heap- +priority_queue + with Tag = binary_heap_tag +
  14. +
+
+
+
+
+
+
+
+
+
+
no image
NPL: Native and pb ds priority queue push pop timing test - local
+
+
+
+
+

Observations

+

Binary heaps are the most suited for sequences of + push and pop operations of primitive types + (e.g. ints). This is explained in + Priority + Queue Random Int push Timing Test . (See Priority Queue + Text push Timing Test for the case of primitive + types.)

+

At first glance it seems that the STL's vector-based + priority queue is approximately on par with pb_ds's + corresponding priority queue. There are two differences + however:

+
    +
  1. The STL's priority queue does not downsize the underlying + vector (or deque) as the priority queue becomes smaller + (see Priority Queue + Text pop Memory Use Test). It is therefore + gaining some speed at the expense of space.
  2. +
  3. From Priority + Queue Random Integer push and pop Timing + Test, it seems that the STL's priority queue is slower in + terms of pus operations. Since the number of + pop operations is at most that of push + operations, the test here is the "best" for the STL's + priority queue.
  4. +
+

Priority-Queue + Performance Tests::Observations discusses this further and + summarizes.

+
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