Which of the following level of parallelism is also called fine grained?

Which of the following level of parallelism is also called fine grained?

The highest amount of parallelism is achieved at instruction level, followed by loop-level parallelism. At instruction and loop level, fine-grained parallelism is achieved. Typical grain size at instruction-level is 20 instructions, while the grain- size at loop-level is 500 instructions.

What is fine grained architecture?

Coarse-grained materials or systems have fewer, larger discrete components than fine-grained materials or systems. A coarse-grained description of a system regards large subcomponents. A fine-grained description regards smaller components of which the larger ones are composed.

What is the difference between fine grain and coarse grain parallelism in comparison of data parallelism?

Fine Grain SIMD have less computation time then the coarse grain architecture. Coarse Grain SIMD have more computation time then the Fine grain architecture. Fine Grain SIMD have much higher level of parallelism then Coarse grain SIMD. Coarse grain SIMD have lower level of parallelism then Fine Grain SIMD.

What does finer grains mean?

1 : producing images of low graininess so that considerable enlargement without undue coarseness is permitted —used of a photographic developer.

What is very fine level parallelism?

In fine-grained parallelism, a program is broken down to a large number of small tasks. These tasks are assigned individually to many processors. The amount of work associated with a parallel task is low and the work is evenly distributed among the processors. Hence, fine-grained parallelism facilitates load balancing.

What is grain size and latency?

Grain sizes are usually described as fine, medium or coarse, depending on the level of parallelism involved. 4. Latency Latency is the time required for communication between different subsystems in a computer. Memory latency, for example, is the time required by a processor to access memory.

What is meant by fine grained classes?

Definitions of fine-grained. adjective. consisting of fine particles. synonyms: powdered, powdery, pulverised, pulverized, small-grained fine. of textures that are smooth to the touch or substances consisting of relatively small particles.

What is the difference between fine grain and coarse grain multithreading?

The main difference between fine grained and coarse grained multithreading is that, in fine grained multithreading, the threads issue instructions in round-robin manner while in coarse grained multithreading, the threads issue instructions until a stall occurs. These threads can share their process resources.

What type of grain size is fine?

Krumbein phi scale

φ scale Size range (metric) Aggregate name (Wentworth class)
1 to 0 0.5–1 mm Coarse sand
2 to 1 0.25–0.5 mm Medium sand
3 to 2 125–250 μm Fine sand
4 to 3 62.5–125 μm Very fine sand

What does vesicular mean in English?

1 : containing, composed of, or characterized by vesicles vesicular lava. 2 : having the form or structure of a vesicle. 3 : of or relating to vesicles.

What makes a Cuda code runs in parallel?

CUDA Architecture utilizes a different approach where a collection of “streaming multiprocessors” (SM) execute the same set of instructions, including branch conditions on multiple threads on different regions of data. 21 threads are working in parallel in this theoretical GPU.

What are different grain sizes in levels of parallelism?

Depending on the amount of work which is performed by a parallel task, parallelism can be classified into three categories: fine-grained, medium-grained and coarse-grained parallelism.

Which is an example of fine grained parallelism?

An example of a fine-grained system (from outside the parallel computing domain) is the system of neurons in our brain. Connection Machine (CM-2) and J-Machine are examples of fine-grain parallel computers that have grain size in the range of 4-5 μs. In coarse-grained parallelism, a program is split into large tasks.

What’s the difference between sub routine and coarse grained parallelism?

At the sub-routine (or procedure) level the grain size is typically a few thousand instructions. Medium-grained parallelism is achieved at sub-routine level. At program-level, parallel execution of programs takes place. Granularity can be in the range of tens of thousands of instructions. Coarse-grained parallelism is used at this level.

How is granularity used to describe parallelism?

Alternately, granularity can also be specified in terms of the execution time of a program, combining the computation time and communication time. Depending on the amount of work which is performed by a parallel task, parallelism can be classified into three categories: fine-grained, medium-grained and coarse-grained parallelism.

Why are dataflow languages good for fine grain parallelism?

Dataflow languages have a structure that is more appropriate for a fine-grain execution model, because they are based on the execution of blocks with inputs and outputs. This translates into the notion of fine-grain parallelism, which is best summarized as the massive parallel execution of a number of immutable execution blocks.