What is constant memory in CUDA?
The constant memory in CUDA is a dedicated memory space of 65536 bytes. It is dedicated because it has some special features like cache and broadcasting. The constant memory space resides in device memory and is cached in the constant cache mentioned in Compute Capability 1.
What is shared memory in CUDA?
Shared memory is a powerful feature for writing well optimized CUDA code. Access to shared memory is much faster than global memory access because it is located on chip. Because shared memory is shared by threads in a thread block, it provides a mechanism for threads to cooperate.
What is constant in memory?
The constant memory in CUDA is a dedicated memory space of 65536 bytes. It is dedicated because it has some special features like cache and broadcasting. The constant memory space resides in device memory and is cached in the constant cache mentioned in Compute Capability 1. x and Compute Capability 2. x.
Can CUDA use shared GPU memory?
This type of memory is what integrated graphics eg Intel HD series typically use. This is not on your NVIDIA GPU, and CUDA can’t use it. Tensorflow can’t use it when running on GPU because CUDA can’t use it, and also when running on CPU because it’s reserved for graphics.
What is GPU memory hierarchy?
GPU memory hierarchy includes several memories with very different features, such as latency, bandwidth, read-only or read-write access, and so on. The idea is that when the threads in a warp access consecutive global memory locations, the hardware is able to combine all accesses into a single memory request.
What is C constant?
C Constants is the most fundamental and essential part of the C programming language. Constants in C are the fixed values that are used in a program, and its value remains the same during the entire execution of the program. Advertisement. Constants are also called literals.
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