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Tuesday, September 9 • 4:45pm - 5:45pm
Asynchronous Computation in C++

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With the adoption of the new C++11 Standard the community sees a revival of interest in the language. This interest is also driven by the demands that new computer architectures and technologies are exerting on application developers and domain scientists. Especially the need for highly runtime adaptive algorithms and applications puts a great strain on our ability to efficiently write code which performs well and which scales satisfactory, as multi-core and multi-threading is the new modality of computation. We argue that new programming models have to be developed if we are to gain continued scalability of computations as we increase the size of our systems. These are programming models which work equally well for inter-node as well for intra-node use. With the degree of complexity and size increasing in new hardware architectures, applications are more and more hindered by the main bottlenecks in computation, namely starvation, latency, overheads, and waiting for contention resolution. We present HPX, which is a general purpose parallel C++ runtime system implementing a new model of computation - ParalleX, that attempts to address those challenges. We show results from using HPX for leveraging and managing asynchrony, overlapping different phases of computation and communication, suggesting ways to seamlessly expose it to programmers in an easy to use way.


Hartmut Kaiser

Hartmut is a member of the faculty at the CS department at Louisiana State University (LSU) and a senior research scientist at LSU's Center for Computation and Technology (CCT). He received his doctorate from the Technical University of Chemnitz (Germany) in 1988. He is probably best known through his involvement in open source software projects, mainly as the author of several C++ libraries he has contributed to Boost, which are in use by... Read More →

Tuesday September 9, 2014 4:45pm - 5:45pm

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