[LA-SiGMA-TESC] Technology for Extreme Scale Computing (TESC) seminar Thursday (1/30)

[Wei P Feinstein]

Hi all,


Good morning! Attention: based on the result of the doodle pool, 18 over 15, the TESC-group meeting is now changed to 11:00am-12:00pm on Thursdays at the Digital Media Center Theatre. Pizza will be served after presentations.


This week we will have Dr. Hartmut Kaiser from CCT to present the research on HPX on 1/30. The title is "HPX: A C++ Standards Compliant Runtime System For Asynchronous Parallel And Distributed Computing". He will give a more in depth-ed talk next week. The abstract of Dr. Kaiser's talk is as follows:

Multi-core, Multi-threading is the new modality of computation, whether it's in scientific field or non-scientific field, if we are to gain continued scalability of computations as we scale the systems, inter-node as well as intra node. With the degree of complexity and size increasing in new hardware architectures, the bottlenecks in computation namely starvation, latency, overheads, and waiting for contention resolution (SLOW) that have been present even in single core machines would be the prevalent factors causing insufficient scalability and parallel efficiency. This significantly increases cost in terms of less resource utilization, when we scale systems to Exa-FLOPS level. Meanwhile, despite the scaling systems, certain class of applications are not able to scale using conventional computation models.

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.


PIZZA AND DRINK WILL BE PROVIDED after the presentation in 1008B DMC.

Presentation time: 11:00AM~12:00PM CST
Location: The Digital Media Center Theatre

The meeting will be shared through adobe connect at http://connect.lsu.edu/gpu/


Best,
Wei


Wei Feinstein, Ph.D.
Center for Computation and Technology
Louisiana State University
E-mail: wfeinstein at lsu.edu
Lab: http://brylinski.cct.lsu.edu/
Office: 401 Choppin Hall, 2060 DMC
Tel: 251-599-3814

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