Titlebook: OpenMP: Enabling Massive Node-Level Parallelism; 17th International W Simon McIntosh-Smith,Bronis R. de Supinski,Jannis Conference proceed

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An Empirical Investigation of OpenMP Based Implementation of Simplex Algorithmlinear programming used to solve minimization and maximization problems that are subject to linear constraints. The simplex algorithm reduces the optimization problem to a series of iterative matrix operations. In this paper we perform an empirical analysis of our algorithm and also study the impact

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FOTV: A Generic Device Offloading Framework for OpenMPignificantly. However, the compiler support limits its usage because the code for the accelerated region has to be generated in compile time. This restricts the usage of accelerator-specific design flows (e.g. FPGA hardware synthesis) and the support of new devices that typically requires extending

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Beyond Explicit Transfers: Shared and Managed Memory in OpenMPthat was common at the time, requiring users to explicitly transfer data between host and devices. But advances in heterogeneous computing and programming systems have created a new environment. No longer are programmers required to manage tracking and moving their data on their own. Now, for those

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Vectorized Barrier and Reduction in LLVM OpenMP Runtimetions using the vector length agnostic paradigm and implement them in the LLVM OpenMP runtime. Our barrier implementation achieves up to 2.2. and 1.4. speedup over the default LLVM OpenMP implementation on Intel KNL and Fujitsu A64FX, respectively.

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