Next prototype of the framework integration (#100)

Provide a mechanism for a chain of modules to share a resource, that can be e.g. CUDA device memory or a CUDA stream.
Minimize data movements between the CPU and the device, and support multiple devices.
Allow the same job configuration to be used on all hardware combinations.

See HeterogeneousCore/CUDACore/README.md for a more detailed description and examples.

Configuration/StandardSequences/python/RawToDigi_cff.py

@@ -3,7 +3,7 @@
 # This object is used to selectively make changes for different running
 # scenarios. In this case it makes changes for Run 2.
 
-from EventFilter.SiPixelRawToDigi.SiPixelRawToDigi_cfi import *
+from EventFilter.SiPixelRawToDigi.siPixelDigis_cff import *
 
 from EventFilter.SiStripRawToDigi.SiStripDigis_cfi import *
 
@@ -49,7 +49,7 @@
 from EventFilter.CTPPSRawToDigi.ctppsRawToDigi_cff import *
 
 RawToDigiTask = cms.Task(L1TRawToDigiTask,
-                         siPixelDigis,
+                         siPixelDigisTask,
                          siStripDigis,
                          ecalDigis,
                          ecalPreshowerDigis,
@@ -64,15 +64,14 @@
                          )
 RawToDigi = cms.Sequence(RawToDigiTask)
 
-RawToDigiTask_noTk = RawToDigiTask.copyAndExclude([siPixelDigis, siStripDigis])
+RawToDigiTask_noTk = RawToDigiTask.copyAndExclude([siPixelDigisTask, siStripDigis])
 RawToDigi_noTk = cms.Sequence(RawToDigiTask_noTk)
 
-RawToDigiTask_pixelOnly = cms.Task(siPixelDigis)
+RawToDigiTask_pixelOnly = cms.Task(siPixelDigisTask)
 RawToDigi_pixelOnly = cms.Sequence(RawToDigiTask_pixelOnly)
 
 scalersRawToDigi.scalersInputTag = 'rawDataCollector'
-from Configuration.ProcessModifiers.gpu_cff import gpu
-(~gpu).toModify(siPixelDigis, InputLabel = 'rawDataCollector')
+siPixelDigis.cpu.InputLabel = 'rawDataCollector'
 #false by default anyways ecalDigis.DoRegional = False
 ecalDigis.InputLabel = 'rawDataCollector'
 ecalPreshowerDigis.sourceTag = 'rawDataCollector'