The cost of data movement has always been an important concern in high performance
computing (HPC) systems. It has now become the dominant factor in terms of both energy …

We present DASH, a C++ template library that offers distributed data structures and parallel
algorithms and implements a compiler-free PGAS (partitioned global address space) …

Programming Abstractions for Data Locality Page 1 Programming Abstractions for Data Locality
Item Type Technical Report Authors Tate, Adrian;Kamil, Amir;Dubey, Anshu;Groblinger …

This paper demonstrates how ideas from generative programming and software synthesis
can help support the development of bulk-synchronous distributed memory kernels. These …

Chapel supports distributed computing with an underlying PGAS memory address space.
While it provides abstractions for writing simple and elegant distributed code, the type …

Multidimensional arrays are an important data structure in many scientific applications.
Unfortunately, built-in support for such arrays is inadequate in C++, particularly in the …

Nested loops are the largest source of parallelism in many data‐parallel scientific
applications. Heterogeneous distributed systems are popular computing platforms for data …

Nested parallelism is of increasing interest for both expressivity and performance. Many
problems are naturally expressed with this divide-and-conquer software design approach. In …

As processors' clock-speed flattened out in the early 2000s, multi-core processors became
more prevalent and so did parallel programming. However this programming paradigm …

Increasingly sophisticated antivirus (AV) software and the growing amount and complexity of
malware demand more processing power from personal computers, specifically from the …