Various research communities have independently arrived at stream processing as a
programming model for efficient and parallel computing. These communities include digital …

In this paper, we propose Database Processing Units, or DPUs, a class of domain-specific
database processors that can efficiently handle database applications. As a proof of …

This paper introduces SPar, an internal C++ Domain-Specific Language (DSL) that supports
the development of classic stream parallel applications. The DSL uses standard C++ …

This paper introduces the Savina benchmark suite for actor-oriented programs. Our goal is
to provide a standard benchmark suite that enables researchers and application developers …

Multi-core systems are any computing device nowadays and stream processing applications
are becoming recurrent workloads, demanding parallelism to achieve the desired quality of …

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 …

Graphics processing units (GPUs) provide a low cost platform for accelerating high
performance computations. The introduction of new programming languages, such as …

This tutorial starts with a survey of optimizations for streaming applications. The survey is
organized as a catalog that introduces uniform terminology and a common categorization of …

Stream processing or data-flow programming is a compute paradigm that has been around
for decades in many forms yet has failed garner the same attention as other mainstream …

Most of the hard-real-time scheduling theory for multiprocessor systems assumes
independent periodic or sporadic tasks. Such a simple task model is not directly applicable …