corrected cpus-per-task arguments (cpus means logical cpus in our slurm configuration)

02-skylake_0096-single-node/03-single-node-multiple-tasks.sh

@@ -22,10 +22,10 @@
 #SBATCH --job-name="full node; single program"
 #SBATCH --nodes=1
 #SBATCH --ntasks=4
-#SBATCH --cpus-per-task=12
+#SBATCH --cpus-per-task=24
 #SBATCH --partition=skylake_0096
 #SBATCH --qos=skylake_0096
 
 ../util/print_job_info.sh
 
-srun --cpus-per-task=12 ../util/print_task_info.sh 
+srun --cpus-per-task=24 ../util/print_task_info.sh 

03-skylake_0096-partial-node/03-task-based-multiple-cpus.sh

@@ -24,7 +24,7 @@
 
 #SBATCH --job-name="task based; 4 tasks; same program; 4 cores / task; 8 GB"
 #SBATCH --ntasks=4
-#SBATCH --cpus-per-task=4
+#SBATCH --cpus-per-task=8
 #SBATCH --mem=8G
 #SBATCH --partition=skylake_0096
 #SBATCH --qos=skylake_0096
@@ -33,4 +33,4 @@
 
 # from sbatch docs: 
 # Beginning with 22.05, srun will not inherit the --cpus-per-task value
-srun --cpus-per-task=4 ../util/print_task_info.sh 
+srun --cpus-per-task=8 ../util/print_task_info.sh 

03-skylake_0096-partial-node/04-task-based-multiple-programs.sh

@@ -24,7 +24,7 @@
 
 #SBATCH --job-name="task based; 4 tasks; different program; 4 cores / task; 8 GB"
 #SBATCH --ntasks=4
-#SBATCH --cpus-per-task=4
+#SBATCH --cpus-per-task=8
 #SBATCH --mem=8G
 #SBATCH --partition=skylake_0096
 #SBATCH --qos=skylake_0096
@@ -33,4 +33,4 @@
 
 # from sbatch docs: 
 # Beginning with 22.05, srun will not inherit the --cpus-per-task value
-srun --cpus-per-task=4 --multi-prog "04-task-based-multiple-programs.conf"
+srun --cpus-per-task=8 --multi-prog "04-task-based-multiple-programs.conf"

03-skylake_0096-partial-node/05-task-based-hetjob.sh

@@ -31,7 +31,7 @@
 #SBATCH --qos=skylake_0096
 #SBATCH hetjob
 #SBATCH --ntasks=2
-#SBATCH --cpus-per-task=4
+#SBATCH --cpus-per-task=8
 #SBATCH --mem=8G
 #SBATCH --partition=skylake_0096
 #SBATCH --qos=skylake_0096

05-skylake_0096-job-array/02-task-based-job-array.sh

@@ -22,11 +22,11 @@
 #SBATCH --job-name="job array; 2 jobs; same program; 1 task; 16 physical cores; 4 GB"
 #SBATCH --array=0-1
 #SBATCH --ntasks=1
-#SBATCH --cpus-per-task=16
+#SBATCH --cpus-per-task=32
 #SBATCH --mem=4G
 #SBATCH --partition=skylake_0096
 #SBATCH --qos=skylake_0096
 
 ../util/print_job_info.sh
 
-srun --cpus-per-task=16 ../util/print_task_info.sh 
+srun --cpus-per-task=32 ../util/print_task_info.sh 

05-skylake_0096-job-array/05-node-based-multiple-tasks-job-array.sh

@@ -22,10 +22,10 @@
 #SBATCH --array=0-1
 #SBATCH --nodes=1
 #SBATCH --ntasks=4
-#SBATCH --cpus-per-task=12
+#SBATCH --cpus-per-task=24
 #SBATCH --partition=skylake_0096
 #SBATCH --qos=skylake_0096
 
 ../util/print_job_info.sh
 
-srun --cpus-per-task=12 ../util/print_task_info.sh 
+srun --cpus-per-task=24 ../util/print_task_info.sh 

98-frameworks-ray/01-ray-python-multi-node.sh

@@ -42,8 +42,8 @@ echo "nodes_num: $nodes_num"
 tasks_per_node=$SLURM_NTASKS_PER_NODE
 echo "tasks_per_node: $tasks_per_node"
 
-# (physical) cpus per node (slurm cpus on node gives us logical cores)
-cpus_per_node=$(( SLURM_CPUS_ON_NODE / 2 ))
+# logical cpus per node (slurm cpus on node gives us logical cores)
+cpus_per_node=$(( SLURM_CPUS_ON_NODE ))
 echo "cpus_per_node: $cpus_per_node"
 
 # cpus per task: ray itself should do the work scheduling and hardware management