Does GPU have branch prediction?

Does GPU have branch prediction?

The simplest approach to implementing branching on the GPU is predication, as discussed earlier. With predication, the GPU effectively evaluates both sides of the branch and then discards one of the results, based on the value of the Boolean branch condition.

Why are GPUs bad at branching?

Branching Code If you have a lot of places in your GPU code where different threads will do different things (e.g. “even threads do A while odd threads do B”), GPUs will be inefficient. This is because the GPU can only issue one command to a group of threads (SIMD).

How does a branch predictor work?

In computer architecture, a branch predictor is a digital circuit that tries to guess which way a branch (e.g., an if–then–else structure) will go before this is known definitively. The purpose of the branch predictor is to improve the flow in the instruction pipeline.

What do you mean by branch prediction?

Branch prediction is an approach to computer architecture that attempts to mitigate the costs of branching. Branch predication speeds up the processing of branch instructions with CPUs using pipelining. The technique involves only executing certain instructions if certain predicates are true.

What are the types of branch prediction?

Branch prediction schemes are of two types: static branch schemes and dynamic branch schemes. branch scheme (hardware techniques) is based on the hardware and it assembles the information during the run-time of the program.

What is BPU (branch prediction unit)?

Branch prediction unit (BPU) is configurable and can run a simple bimodal predictor or complex 2-level adaptive predictors like GShare, GSelect, GAg, GAp, PAg, or PAp. This section describes the major structures used in BPU and their interaction with the CPU pipeline.

What is the CUDA model?

CUDA is a parallel computing platform and application programming interface (API) model created by Nvidia. It allows software developers and software engineers to use a CUDA-enabled graphics processing unit (GPU) for general purpose processing — an approach termed GPGPU (General Purpose computing on Graphics Processing Units).

What is CUDA (Compute unified device architecture)?

Also, CUDA supports programming frameworks such as OpenACC and OpenCL. When it was first introduced by Nvidia, the name CUDA was an acronym for Compute Unified Device Architecture, but Nvidia subsequently dropped the common use of the acronym.

What is a CUDA-powered GPU?

CUDA-powered GPUs also support programming frameworks such as OpenMP, OpenACC and OpenCL; and HIP by compiling such code to CUDA. CUDA was created by Nvidia. When it was first introduced, the name was an acronym for Compute Unified Device Architecture, but Nvidia later dropped the common use of the acronym.