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DARMA 0.3.0-alpha Specification

Wilke, Jeremiah J.; Hollman, David S.; Slattengren, Nicole S.; lifflander, jonathan l.; Kolla, Hemanth K.; Rizzi, Francesco N.; Teranishi, Keita T.; Bennett, Janine C.

PARMA (Distributed Asynchronous Resilient Models and ApH asynchronous many-task (AMT) rmogramming models and hardware idiosyncrasies, 2) improve application programmer interface (API) plication Ico-desiga activities into meaningful requirements for characterization and definition, accelerating the development of pARMAI APT is a rranslation layer runtime systems Am' 11 between an application-facing . The application-facing user-level iting the generic language constructs of C++ and adding parallel programs. Though the implementation of the provide the front end semantics, it is nonetheless fully embedded in the C++ language and leverages a widely supported front end fiack end in C++, inher- that facilitate expressing distributed asynchronous uses C++ constructs unfamiliar to many programmers to subset of C++14 functionality (gcc >= 4.9, clang >= 3.5, icc > = 16). The rranslation layer leverages C++ to map the user's code onto the fiack encI runtime APT. The fiack end APT is a set of abstract classes and function signatures that iuntime systenr developers must implement in accordance with the specification require- ments in order to interface with application code written to the must link to a iuntime systenr that implements the abstract mentations will be external, drawing upon existing provided in the pARMAI code distribution. IDARMAI fiack end templatO front end. Executable 1DARMA applications runtime APT. It is intended that these imple- technologies. However, a reference implementation will be The front end rranslation layer, and iback end APT are detailed herein. We also include a list of application requirements driving the specification (along with a list of the applications contributing to the requirements to date), a brief history of changes between previous versions of the specification, and summary of the planned changes in up- coming versions of the specification. Appendices walk the user through a more detailed set of examples of applications written in the PARMA front encI APII and provide additional technical details for those the interested reader.

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TYPE SAND Report YEAR 2016
OSTIDOI

Exploring the Interplay of Resilience and Energy Consumption for a Task-Based Partial Differential Equations Preconditioner

Rizzi, Francesco N.; Morris Wright, Karla V.; Sargsyan, Khachik S.; Mycek, Paul M.; Safta, Cosmin S.; Le Maitre, Olivier L.; Knio, Omar K.; Debusschere, Bert D.

We discuss algorithm-based resilience to silent data corruption (SDC) in a task- based domain-decomposition preconditioner for partial differential equations (PDEs). The algorithm exploits a reformulation of the PDE as a sampling problem, followed by a solution update through data manipulation that is resilient to SDC. The imple- mentation is based on a server-client model where all state information is held by the servers, while clients are designed solely as computational units. Scalability tests run up to [?] 51 K cores show a parallel efficiency greater than 90%. We use a 2D elliptic PDE and a fault model based on random single bit-flip to demonstrate the resilience of the application to synthetically injected SDC. We discuss two fault scenarios: one based on the corruption of all data of a target task, and the other involving the corrup- tion of a single data point. We show that for our application, given the test problem considered, a four-fold increase in the number of faults only yields a 2% change in the overhead to overcome their presence, from 7% to 9%. We then discuss potential savings in energy consumption via dynamics voltage/frequency scaling, and its interplay with fault-rates, and application overhead. [?] Sandia National Laboratories, Livermore, CA ( fnrizzi@sandia.gov ). + Sandia National Laboratories, Livermore, CA ( knmorri@sandia.gov ). ++ Sandia National Laboratories, Livermore, CA ( ksargsy@sandia.gov ). SS Duke University, Durham, NC ( paul.mycek@duke.edu ). P Sandia National Laboratories, Livermore, CA ( csafta@sandia.gov ). k Laboratoire d'Informatique pour la M'ecanique et les Sciences de l'Ing'enieur, Orsay, France ( olm@limsi.fr ). [?][?] Duke University, Durham, NC ( omar.knio@duke.edu ). ++ Sandia National Laboratories, Livermore, CA ( bjdebus@sandia.gov ).

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TYPE SAND Report YEAR 2016
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Results 26–50 of 71
Results 26–50 of 71