OpenMP is an industry and academic standard for parallel programming. However, using it
for developing parallel stream processing applications is complex and challenging. OpenMP …

In a fast-changing data-driven world, real-time data processing systems are becoming
ubiquitous in everyday applications. The increasing data we produce, such as audio, video …

Stream processing applications are common computing workloads that demand parallelism
to increase their performance. As in the past, parallel programming remains a difficult task …

Stream processing applications deal with millions of data items continuously generated over
time. Often, they must be processed in real-time and scale performance, which requires the …

It is often a challenge to keep input/output tasks/results in order for parallel computations
over data streams, particularly when stateless task operators are replicated to increase …

Stream processing applications have seen an increasing demand with the increased
availability of sensors, IoT devices, and user data. Modern systems can generate millions of …

O crescimento e disseminação das arquiteturas paralelas têm conduzido a busca por maior
poder computacional com hardware massivamente paralelo tais como as unidades de …

An increasing attention has been given to provide service level objectives (SLOs) in stream
processing applications due to the performance and energy requirements, and because of …

Stream processing applications became a representative workload in current computing
systems. A significant part of these applications demands parallelism to increase …

Stream processing applications compute streams of data and provide insightful results in a
timely manner, where parallel computing is necessary for accelerating the application …