# Calculating CUDA cores

I am learning pyCUDA through the book Getting Started with PyCUDA. There is a step where we calculate the amount of CUDA cores per multiprocessor. The number I get is 3840 CUDA cores for the GeForce RTX 2060. However when I search on google, google is telling me that the GeForce RTX 2060 has 1920 CUDA cores (original estimate divided by 2). My question is who is right?

Device: GeForce RTX 2060
Compute Capability: 7.5
Total Memory: 6144 mb
Number of Multiprocessors: 30

To get my original estimate I used pyCUDA to determine the number of steaming multiprocessors as 30. Within each multiprocessor there is a certain number of CUDA cores I found that number with pyCUDA and from this table within the nvidia docs: https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#compute-capabilities

After getting those two numbers I multiplied them and got 3,840.

I guess what I am asking is why does google tell me the number of CUDA cores is 1920 instead of 3840 ? Why divide by 2 ?

So Iâ€™m not sure what I am doing wrong or not accounting for to justify the divide by 2 at the end.

What piece of data specifically did you take from â€śthis table within the nvidia docsâ€ť? Table number, description of row?

Here is the relevant information I see (not in a table):

I.6. Compute Capability 7.x
I.6.1. Architecture
An SM consists of:
64 FP32 cores for single-precision arithmetic operations, [â€¦]

So, for an RTX 2060 with 30 SMs comprising 64 CUDA cores each: 1920 CUDA cores total

1 Like

Ah ok looks like I read the table wrong. I was looking at table 15 Maximum number of resident grids per device

There is no such row in table 15. I think you meant â€śMaximum number of resident threads per SMâ€ť?

Note that â€śCUDA coresâ€ť is a marketing term for â€śFP32 coresâ€ť. Best I can see, the relevant numbers are not part of any table, but appear in the architecture summaries after table 15.