What do you mean by data locality?
Data locality is the process of moving computation to the node where that data resides, instead of vice versa — helping to minimize network congestion and improve computation throughput.
What is data locality in machine learning?
Abstract: Data locality is of extreme importance in programming distributed-memory architectures due to its implications on latency and energy consumption. Automated compiler and runtime system optimization studies have attempted to improve data locality exploitation without burdening the programmer.
What is data locality in cache?
In computer science, data locality, also known as locality of reference, is the behavior of computer programs according to which a workload accesses a set of data entities or storage locations within some period of time with a predictable access pattern.
What is data parallel computing?
Data parallelism is a way of performing parallel execution of an application on multiple processors. It focuses on distributing data across different nodes in the parallel execution environment and enabling simultaneous sub-computations on these distributed data across the different compute nodes.
What is data locality in parallelism?
Ashish Jha, in High Performance Parallelism Pearls, 2015 Data locality is a key to good performance on all modern CPU and fine-grained architectures. In many cases, loop fusion can be used to demote temporary arrays to arrays of lower rank (or even to scalars).
What is the principle of spatial data locality?
The principle of spatial data locality observes that if one address is accessed, other addresses located near that address are also likely to be accessed. In order to benefit from this observation, Intel processors support the prefetching of cache lines.
What is parallel computing and where is it used?
Parallel computing is now being used extensively around the world, in a wide variety of applications. Named after the Hungarian mathematician John von Neumann who first authored the general requirements for an electronic computer in his 1945 papers.
How do SMPS address the problem of data locality?
The conventional way for modern computing architectures, including SMP systems, to address these tradeoffs through exploitation of data locality is in the structure of the memory hierarchy, also known as the memory stack.