[simpleMultiCopy] - Starting...
> Using CUDA device [0]: NVIDIA H100 PCIe
[NVIDIA H100 PCIe] has 114 MP(s) x 128 (Cores/MP) = 14592 (Cores)
> Device name: NVIDIA H100 PCIe
> CUDA Capability 9.0 hardware with 114 multi-processors
> scale_factor = 1.00
> array_size   = 4194304


Relevant properties of this CUDA device
(X) Can overlap one CPU<>GPU data transfer with GPU kernel execution (device property "deviceOverlap")
(X) Can overlap two CPU<>GPU data transfers with GPU kernel execution
    (Compute Capability >= 2.0 AND (Tesla product OR Quadro 4000/5000/6000/K5000)

Measured timings (throughput):
 Memcpy host to device	: 0.610592 ms (27.476966 GB/s)
 Memcpy device to host	: 0.694048 ms (24.172991 GB/s)
 Kernel			: 0.033408 ms (5021.915549 GB/s)

Theoretical limits for speedup gained from overlapped data transfers:
No overlap at all (transfer-kernel-transfer): 1.338048 ms 
Compute can overlap with one transfer: 1.304640 ms
Compute can overlap with both data transfers: 0.694048 ms

Average measured timings over 10 repetitions:
 Avg. time when execution fully serialized	: 1.325424 ms
 Avg. time when overlapped using 4 streams	: 1.203120 ms
 Avg. speedup gained (serialized - overlapped)	: 0.122304 ms

Measured throughput:
 Fully serialized execution		: 25.315998 GB/s
 Overlapped using 4 streams		: 27.889513 GB/s