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Everything about Embarrassingly parallel
Problem easily dividable into parallel tasks
In parallel computing, an embarrassingly parallel workload or problem is one where little or no effort is needed to split the problem into a number of parallel tasks. This is due to minimal or no dependency upon communication between the parallel tasks, or for results between them. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Embarrassingly parallelA 5-minute orientation
- Skim a recent paper: Embarrassingly Parallel Independent Training of Multi-Layer Perceptrons with Heterogeneous ArchitecturesInfluential work since 2022
- Read the landmark paper: Energy-Aware Scheduling of Embarrassingly Parallel Jobs and Resource Allocation in CloudCited 66 times
- Go sideways: Parallel algorithmA closely related topic
- Go sideways: Parallel computingA closely related topic
📖 Definitions
Adjective Very easy to separate into a number of parallel tasks.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Energy-Aware Scheduling of Embarrassingly Parallel Jobs and Resource Allocation in Cloud
Embarrassingly Parallel Search in Constraint Programming
Where are embarrassingly parallel problems? The atom-diatom quasiclassical reactivity
EMBARRASSINGLY EASY EMBARRASSINGLY PARALLEL PROCESSING IN R
CRBLASTER: A Parallel-Processing Computational Framework for Embarrassingly Parallel Image-Analysis Algorithms
The Application of Nearly Embarrassingly Parallel Computation in the Optimization of Fluid-Film Lubrication©
Software Alchemy: Turning Complex Statistical Computations into Embarrassingly-Parallel Ones
An embarrassingly parallel algorithm for random walk simulations on random fractal structures
🆕 Influential since 2022
Embarrassingly Parallel Independent Training of Multi-Layer Perceptrons with Heterogeneous Architectures
Scythe: A Python toolkit for orchestrating embarrassingly parallel experiments via distributed queues
Taskfarm: A Client/Server Framework for Supporting Massive Embarrassingly Parallel Workloads
Impact of Design Decisions on Performance of Embarrassingly Parallel .NET Database Application
📚 Books worth reading
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🔗 Related topics
- Parallel algorithm In computer science, a parallel algorithm, as opposed to a traditional serial algorithm, is an algorithm which can do multiple operations in a given time…
- Parallel computing Parallel computing is a type of computation in which many calculations or processes are carried out simultaneously. Large problems can often be divided…
- Distributed memory In computer science, distributed memory refers to a multiprocessor computer system in which each processor has its own private memory. Computational tasks…
- Symmetric multiprocessing Symmetric multiprocessing or shared-memory multiprocessing (SMP) involves a multiprocessor computer hardware and software architecture where two or more…
- Massively parallel Massively parallel is the term for using a large number of computer processors (or separate computers) to simultaneously perform a set of coordinated computatio…
- Distributed computing Distributed computing is a field of computer science that studies distributed systems, defined as computer systems whose inter-communicating components…
- Multiprocessing Multiprocessing (MP) is the use of two or more central processing units (CPUs) within one computer system. The term also refers to the ability of a system…
- Concurrent computing Concurrent computing is a form of computing in which several computations are executed concurrently—during overlapping time periods, instead of sequentially—wit…