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--- documentation:performance [19:58 26.11.2013] – Walter
+++ documentation:performance [20:25 18.02.2014] (current) – [Hardware] Walter
@@ Line 1: / Line 1: @@
-~~NOTOC~~
 ===== Performance and scalability =====
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   * **Memory usage** in terms of the physical memory (RAM) used by the simulation, using the resident set size (RSS) from the ''/proc/self/stat'' pseudo-file.
-==== Scaling with problem size ====
+==== Scalability with problem size ====
 We investigated the scalability with respect to problem size to see how performance in terms of the execution time and memory usage (RAM) scales with increasing population size or lattice size.
@@ Line 48: / Line 46: @@
 ==== Hardware ====
-All simulations were performed on a [[http://ark.intel.com/products/41316|Intel Core i7-860 vPro]].
+All simulations were performed on a [[http://ark.intel.com/products/41316|Intel Core i7-860 vPro]]. ++++Hardware specification |
-++++ Hardware specification |
 | # of Cores	| 4 |
 | # of Threads	| 8 (hyperthreading) |
@@ Line 60: / Line 57: @@
 ===== Results =====
+==== Benchmark tests ====
 ^ ODE |  {{:documentation:performance:ode_25.png?link&125| }} | {{:documentation:performance:ode_100.png?link&125| }} | {{:documentation:performance:ode_400.png?link&125| }} | {{:documentation:performance:ode_2500.png?link&125| }} | {{:documentation:performance:ode_10000.png?link&125| }} | {{:documentation:performance:ode_40000.png?link&125| }} |
 | Cells | 25 | 100 | 400 | 2500 | 10000 | 40000 |
@@ Line 70: / Line 68: @@
 | Cells | 8 | 50 | 200 | 800 | 5000 |
+-----
+==== Performance statistics ====
 ^ ^ Problem size \\ (absolute) ^ Problem size \\ (relative) ^ ^ Multi-threading ^
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 ^ CPM \\ {{:documentation:performance:cpm_2000.png?link&100| }}| {{:documentation:performance:performance_cpm_problemsize_absolute.png?direct&300|}} ((Execution time is almost linearly with number of ''CPM'' cells. Small memory footprint, despite ''edgelist'' tracking.)) | {{:documentation:performance:performance_cpm_problemsize_relative.png?direct&300|}} ((Exec. time per ''CPM'' cell is almost constant, although performance decreases for larger systems. Decrease of memory usage per cell is here mostly due to use of large lattice in all cases.)) | | {{:documentation:performance:performance_cpm_multithreading.png?direct&300|}} ((Parallel processing is not available for ''CPM'' simulations. Therefore, multithreading does not results in speed-up. Instead, the multithreading overhead even slightly decreases performance.)) |
 ^ CPM + PDE \\ {{:documentation:performance:cpmpde_400.png?link&125| }} | {{:documentation:performance:performance_cpmpde_problemsize_absolute.png?direct&300|}} | {{:documentation:performance:performance_cpmpde_problemsize_relative.png?direct&300|}} | |{{:documentation:performance:performance_cpmpde_multithreading.png?direct&300|}} |