Based on this passage, please extract a bulleted list of the factors of GPU's constructions that enter into the performance of the card for real-time rendering.
Several factors of the GPU's construction enter into the performance of the card for real-time rendering. Common factors can include the size of the connector pathways in the semiconductor device fabrication, the clock signal frequency, and the number and size of various on-chip memory caches. Additionally, the number of Streaming Multiprocessors (SM) for NVidia GPUs, or Compute Units (CU) for AMD GPUs, which describe the number of core on-silicon processor units within the GPU chip that perform the core calculations, typically working in parallel with other SM/CUs on the GPU. Performance of GPUs are typically measured in floating point operations per second or FLOPS, with GPUs in the 2010s and 2020s typically delivering performance measured in teraflops (TFLOPS). This is an estimated performance measure as other factors can impact the actual display rate.
-The size of the connector pathways in the semiconductor device fabrication
-The clock signal frequency
-The number/size of various on-chip memory caches
-Number of SM or CU GPUs
Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
### Instruction: Based on this passage, please extract a bulleted list of the factors of GPU's constructions that enter into the performance of the card for real-time rendering.
### Input: Several factors of the GPU's construction enter into the performance of the card for real-time rendering. Common factors can include the size of the connector pathways in the semiconductor device fabrication, the clock signal frequency, and the number and size of various on-chip memory caches. Additionally, the number of Streaming Multiprocessors (SM) for NVidia GPUs, or Compute Units (CU) for AMD GPUs, which describe the number of core on-silicon processor units within the GPU chip that perform the core calculations, typically working in parallel with other SM/CUs on the GPU. Performance of GPUs are typically measured in floating point operations per second or FLOPS, with GPUs in the 2010s and 2020s typically delivering performance measured in teraflops (TFLOPS). This is an estimated performance measure as other factors can impact the actual display rate.
### Response: -The size of the connector pathways in the semiconductor device fabrication
-The clock signal frequency
-The number/size of various on-chip memory caches
-Number of SM or CU GPUs