Distributed computing has become a common approach for large-scale computation tasks
due to benefits such as high reliability, scalability, computation speed, and cost …

Codes are widely used in many engineering applications to offer robustness against noise.
In large-scale systems, there are several types of noise that can affect the performance of …

In large-scale distributed computing clusters, such as Amazon EC2, there are several types
of “system noise” that can result in major degradation of performance: system failures …

Coded computation is a framework for providing redundancy in distributed computing
systems to make them robust to slower nodes, or stragglers. In [1], the authors propose a …

This paper has two main contributions. First, we propose a novel coding technique-
Generalized PolyDot-for matrix-vector products that advances on existing techniques for …

In cloud computing systems slow processing nodes, often referred to as “stragglers”, can
significantly extend the computation time. Recent results have shown that error correction …

Coded computation is a method to mitigate “stragglers” in distributed computing systems
through the use of error correction coding that has lately received significant attention. First …

Computationally intensive distributed and parallel computing is often bottlenecked by a
small set of slow workers known as stragglers. In this paper, we utilize the emerging idea …

In recent years, coded distributed computing (CDC) has attracted significant attention,
because it can efficiently facilitate many delay-sensitive computation tasks against …

In the era of artificial intelligence and big data, the demand for data processing has surged,
leading to larger datasets and computation capability. Distributed machine learning (DML) …