yaml: add hw accel section, move cuda there

suricata.yaml.in

@@ -993,37 +993,6 @@ threading:
   #
   detect-thread-ratio: 1.5
 
-# Cuda configuration.
-cuda:
-  # The "mpm" profile.  On not specifying any of these parameters, the engine's
-  # internal default values are used, which are same as the ones specified in
-  # in the default conf file.
-  mpm:
-    # The minimum length required to buffer data to the gpu.
-    # Anything below this is MPM'ed on the CPU.
-    # Can be specified in kb, mb, gb.  Just a number indicates it's in bytes.
-    # A value of 0 indicates there's no limit.
-    data-buffer-size-min-limit: 0
-    # The maximum length for data that we would buffer to the gpu.
-    # Anything over this is MPM'ed on the CPU.
-    # Can be specified in kb, mb, gb.  Just a number indicates it's in bytes.
-    data-buffer-size-max-limit: 1500
-    # The ring buffer size used by the CudaBuffer API to buffer data.
-    cudabuffer-buffer-size: 500mb
-    # The max chunk size that can be sent to the gpu in a single go.
-    gpu-transfer-size: 50mb
-    # The timeout limit for batching of packets in microseconds.
-    batching-timeout: 2000
-    # The device to use for the mpm.  Currently we don't support load balancing
-    # on multiple gpus.  In case you have multiple devices on your system, you
-    # can specify the device to use, using this conf.  By default we hold 0, to
-    # specify the first device cuda sees.  To find out device-id associated with
-    # the card(s) on the system run "suricata --list-cuda-cards".
-    device-id: 0
-    # No of Cuda streams used for asynchronous processing. All values > 0 are valid.
-    # For this option you need a device with Compute Capability > 1.0.
-    cuda-streams: 2
-
 # Select the multi pattern algorithm you want to run for scan/search the
 # in the engine.
 #
@@ -1591,6 +1560,41 @@ mpipe:
     size10386: 0
     size16384: 0
 
+##
+## Hardware accelaration
+##
+
+# Cuda configuration.
+cuda:
+  # The "mpm" profile.  On not specifying any of these parameters, the engine's
+  # internal default values are used, which are same as the ones specified in
+  # in the default conf file.
+  mpm:
+    # The minimum length required to buffer data to the gpu.
+    # Anything below this is MPM'ed on the CPU.
+    # Can be specified in kb, mb, gb.  Just a number indicates it's in bytes.
+    # A value of 0 indicates there's no limit.
+    data-buffer-size-min-limit: 0
+    # The maximum length for data that we would buffer to the gpu.
+    # Anything over this is MPM'ed on the CPU.
+    # Can be specified in kb, mb, gb.  Just a number indicates it's in bytes.
+    data-buffer-size-max-limit: 1500
+    # The ring buffer size used by the CudaBuffer API to buffer data.
+    cudabuffer-buffer-size: 500mb
+    # The max chunk size that can be sent to the gpu in a single go.
+    gpu-transfer-size: 50mb
+    # The timeout limit for batching of packets in microseconds.
+    batching-timeout: 2000
+    # The device to use for the mpm.  Currently we don't support load balancing
+    # on multiple gpus.  In case you have multiple devices on your system, you
+    # can specify the device to use, using this conf.  By default we hold 0, to
+    # specify the first device cuda sees.  To find out device-id associated with
+    # the card(s) on the system run "suricata --list-cuda-cards".
+    device-id: 0
+    # No of Cuda streams used for asynchronous processing. All values > 0 are valid.
+    # For this option you need a device with Compute Capability > 1.0.
+    cuda-streams: 2
+
 
 # Includes.  Files included here will be handled as if they were
 # inlined in this configuration file.