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

As multicore architectures enter the mainstream, there is a pressing demand for high-level
programming models that can effectively map to them. Stream programming offers an …

The concept of state and its applications vary widely across big data processing systems.
This is evident in both the research literature and existing systems, such as Apache Flink …

Stream programs represent an important class of high-performance computations. Defined
by their regular processing of sequences of data, stream programs appear most commonly …

The massive parallelism present in GPUs comes at the cost of reduced L1 and L2 cache
sizes per thread, leading to serious cache contention problems such as thrashing. Hence …

We present unprecedented, high throughput simulations of cloud cavitation collapse on 1.6
million cores of Sequoia reaching 55% of its nominal peak performance, corresponding to …

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 …

As we increase the number of cores on a processor die, the on-chip cache hierarchies that
support these cores are getting larger, deeper, and more complex. As a result, non-uniform …

Given the ubiquity of multicore processors, there is an acute need to enable the
development of scalable parallel applications without unduly burdening programmers …

Developers increasingly use streaming languages to write applications that process large
volumes of data with high throughput. Unfortunately, when picking which streaming …