Changes between Version 12 and Version 13 of cypress/Matlab

Timestamp:

08/24/16 12:19:50 (8 years ago)

Author:

fuji

Comment:

—

cypress/Matlab

@@ -181 +181 @@
 
 See [https://wiki.hpc.tulane.edu/trac/wiki/cypress/Matlab#CompiledMatlab] 
+{{{#!bash
+#!/bin/bash
+#SBATCH --qos=normal            # Quality of Service
+#SBATCH --job-name=matlabMT     # Job Name
+#SBATCH --time=1:00:00          # WallTime
+#SBATCH --nodes=1               # Number of Nodes
+#SBATCH --ntasks-per-node=1     # Number of tasks (MPI processes)
+#SBATCH --cpus-per-task=10      # Number of threads per task (OMP threads)
+
+module load matlab
+mcc -m FuncTest.m
+./FuncTest
+}}}
 
 ==== Explicit parallelism ====
@@ -201 +214 @@
 
 module load matlab
-matlab  -nodesktop -nodisplay -nosplash -r "CreateWorker; ParforTest; exit;"
+matlab  -nodesktop -nodisplay -nosplash -r "ParforTest; exit;"
 }}}
 
@@ -222 +235 @@
 % parfor "ParforTest.m"
 %
+CreateWorker;
 iter = 10000;
 sz = 50;
@@ -245 +259 @@
 See [https://wiki.hpc.tulane.edu/trac/wiki/cypress/Matlab#CompiledMatlab] 
 
+{{{#!bash
+#!/bin/bash
+#SBATCH --qos=normal            # Quality of Service
+#SBATCH --job-name=matlabPool     # Job Name
+#SBATCH --time=1:00:00          # WallTime
+#SBATCH --nodes=1               # Number of Nodes
+#SBATCH --ntasks-per-node=1     # Number of tasks (MPI processes)
+#SBATCH --cpus-per-task=4       # Number of threads per task (OMP threads)
+
+module load matlab
+mcc -m ParforTest.m
+./ParforTest
+}}}
+
 === Running MATLAB with Automatic Offload ===
 Internally MATLAB uses Intel MKL Basic Linear Algebra Subroutines (BLAS) and Linear Algebra package (LAPACK) routines to perform the underlying computations when running on Intel processors.
@@ -294 +322 @@
 See [https://wiki.hpc.tulane.edu/trac/wiki/cypress/Matlab#CompiledMatlab] 
 
+{{{#!bash
+#!/bin/bash
+#SBATCH --qos=normal            # Quality of Service
+#SBATCH --job-name=matlabAO     # Job Name
+#SBATCH --time=1:00:00          # WallTime
+#SBATCH --nodes=1               # Number of Nodes
+#SBATCH --ntasks-per-node=1     # Number of tasks (MPI processes)
+#SBATCH --cpus-per-task=1       # Number of threads per task (OMP threads)
+#SBATCH --gres=mic:1            # Number of Co-Processors
+
+module load matlab
+module load intel-psxe
+mcc -m MatTest.m
+export MKL_MIC_ENABLE=1
+./MatTest
+}}}
+
+To generate the offload report at run time,
+{{{
+export OFFLOAD_REPORT=2
+}}}
+
+* Setting OFFLOAD_REPORT to 0 (or not setting it) results in no offload report.
+
+* Setting OFFLOAD_REPORT to 1 results in a report including:
+ * Name of function called
+ * Effective Work Division
+ * Time spent on Host during call
+ * Time spent on each available Phi coprocessor during call
+
+* Setting OFFLOAD_REPORT to 2 results in a report including everything from 1, and in addition:
+ * Amount of data transferred to and from each Phi during call
+