The current interface provided by the C++17 parallel algorithms poses some limitations with respect to parallel data access and heterogeneous systems, such as personal computers and server nodes with GPUs, smartphones, and embedded System on a Chip chipsets. In this paper, we present a summary of why we believe the Ranges TS solves these problems, and also improves both programmability and performance on heterogeneous platforms. The complete paper has been submitted to WG21 for consideration, and here we present a summary of the changes proposed alongside new performance results. To the best of our knowledge, this is the first paper presented to WG21 that unifies the Ranges TS with the parallel algorithms introduced in C++17. Although...
With the introduction of more powerful and massively parallel embedded processors, embedded systems ...
The packing of multiple processor cores onto a single chip has become a mainstream solution to funda...
Symbolic computation has underpinned a number of key advances in Mathematics and Computer Science. A...
Parallel programming remains a daunting challenge, from the struggle to express a parallel algorithm...
Learn how to accelerate C++ programs using data parallelism. This open access book enables C++ progr...
Due to energy constraints, high performance computing platforms are becoming increasingly heterogene...
Symbolic computation has underpinned a number of key advances in Mathematics and Computer Science. A...
The end of Dennard scaling also brought an end to frequency scaling as a means to improve performanc...
Symbolic computation has underpinned a number of key advances in Mathematics and Computer Science. A...
On the way to Exascale, programmers face the increasing challenge of having to support multiple hard...
Fortran and C++ are the dominant programming languages used in scientific computation. Consequently,...
Parallelization has moved in recent years into the mainstream compilers, and the demand for parallel...
<p>The design of microprocessor technology has hit several "walls" in recent decades. These limits o...
This work describes my solution to the performance portability problem: between CPUs and GPUs in par...
Heterogeneous multicores like GPGPUs are now commonplace in modern computing systems. Although heter...
With the introduction of more powerful and massively parallel embedded processors, embedded systems ...
The packing of multiple processor cores onto a single chip has become a mainstream solution to funda...
Symbolic computation has underpinned a number of key advances in Mathematics and Computer Science. A...
Parallel programming remains a daunting challenge, from the struggle to express a parallel algorithm...
Learn how to accelerate C++ programs using data parallelism. This open access book enables C++ progr...
Due to energy constraints, high performance computing platforms are becoming increasingly heterogene...
Symbolic computation has underpinned a number of key advances in Mathematics and Computer Science. A...
The end of Dennard scaling also brought an end to frequency scaling as a means to improve performanc...
Symbolic computation has underpinned a number of key advances in Mathematics and Computer Science. A...
On the way to Exascale, programmers face the increasing challenge of having to support multiple hard...
Fortran and C++ are the dominant programming languages used in scientific computation. Consequently,...
Parallelization has moved in recent years into the mainstream compilers, and the demand for parallel...
<p>The design of microprocessor technology has hit several "walls" in recent decades. These limits o...
This work describes my solution to the performance portability problem: between CPUs and GPUs in par...
Heterogeneous multicores like GPGPUs are now commonplace in modern computing systems. Although heter...
With the introduction of more powerful and massively parallel embedded processors, embedded systems ...
The packing of multiple processor cores onto a single chip has become a mainstream solution to funda...
Symbolic computation has underpinned a number of key advances in Mathematics and Computer Science. A...