This paper explores how fork-join parallelism, as supported by concurrency platforms such
as Cilk and OpenMP, can be embedded into a compiler's intermediate representation (IR) …

Stream based languages are a popular approach to expressing parallelism in modern
applications. The efficient map** of streaming parallelism to multi-core processors is …

For realizing safe autonomous driving, the end-to-end delays of real-time object detection
systems should be thoroughly analyzed and minimized. However, despite recent …

Pipeline parallelism organizes a parallel program as a linear sequence of stages. Each
stage processes elements of a data stream, passing each processed data element to the …

Despite the obvious importance, performance issues related to synchronization primitives
are still lacking adequate attention. No literature extensively investigates categories, root …

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 …

Scheduling pipeline-parallel programs, defined as a graph of stages that communicate
explicitly through queues, is challenging. When the application is regular and the underlying …

Irregular applications are increasingly common in diverse domains, like graph analytics and
sparse linear algebra. Accelerating these applications is challenging because of their …

Parallel programming has been a challenging task for application programmers. Stream
processing is an application domain present in several scientific, enterprise, and financial …

Tapir (pronounced TAY-per) is a compiler intermediate representation (IR) that embeds
recursive fork-join parallelism, as supported by task-parallel programming platforms such as …