Performance portable C++ programming with RAJA

Beckingsale, David; Hornung, Richard D.; Scogland, Thomas R. W.; Vargas, Anielle de

doi:10.1145/3293883.3302577

Cited by 24 publications

(10 citation statements)

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“…The second goal is to provide a uniform interface to lower-level technologies [e.g., Kokkos, RAJA (Beckingsale et al 2019), or SyCL (Bader et al 2019)]. In fact, the Utopia library is designed and developed for providing a balance between abstraction and low-level access without sacrificing performance.…”

Section: Hardware Portability and Software Maintainabilitymentioning

confidence: 99%

Large scale simulation of pressure induced phase-field fracture propagation using Utopia

et al. 2021

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Non-linear phase field models are increasingly used for the simulation of fracture propagation problems. The numerical simulation of fracture networks of realistic size requires the efficient parallel solution of large coupled non-linear systems. Although in principle efficient iterative multi-level methods for these types of problems are available, they are not widely used in practice due to the complexity of their parallel implementation. Here, we present Utopia, which is an open-source C++ library for parallel non-linear multilevel solution strategies. Utopia provides the advantages of high-level programming interfaces while at the same time a framework to access low-level data-structures without breaking code encapsulation. Complex numerical procedures can be expressed with few lines of code, and evaluated by different implementations, libraries, or computing hardware. In this paper, we investigate the parallel performance of our implementation of the recursive multilevel trust-region (RMTR) method based on the Utopia library. RMTR is a globally convergent multilevel solution strategy designed to solve non-convex constrained minimization problems. In particular, we solve pressure-induced phase-field fracture propagation in large and complex fracture networks. Solving such problems is deemed challenging even for a few fractures, however, here we are considering networks of realistic size with up to 1000 fractures.

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Section: Hardware Portability and Software Maintainabilitymentioning

confidence: 99%

Large scale simulation of pressure induced phase-field fracture propagation using Utopia

et al. 2021

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“…Usually aimed at specific class of developers who need implementations of specific tools or algorithms. This category includes such well-known libraries as TBB, Thrust [2], CUBLAS, IPP, NPP, MAGMA, [3], [4], HPX [5] and many others. Some of them turn into rather powerful software solutions (for example PyTorch [6], TensorFlow [7] and [8]).…”

Section: Existing Solutionsmentioning

confidence: 99%

An Auto-Programming Approach to Vulkan

Frolov¹,

Sanzharov

Галактионов³

et al. 2021

Proceedings of the 31th International Conference on Computer Graphics and Vision. Volume 2

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We propose a novel high-level approach for software development on GPU using Vulkan API. Our goal is to speed-up development and performance studies for complex algorithms on GPU, which is quite difficult and laborious for Vulkan due to large number of HW features low level details. The proposed approach uses auto programming to translate ordinary C++ to optimized Vulkan implementation with automatic shaders generation, resource binding and fine-grained barriers placement. Our model is not general-purpose programming, but is extendible and customer-focused. For a single C++ input our tool can generate multiple different implementations of algorithm in Vulkan for different cases or types of hardware. For example, we automatically detect reduction in C++ source code and then generate several variants of parallel reduction on GPU: with optimization for different warp size, with or without atomics, using or not subgroup operations. Another example is GPU ray tracing applications for which we can generate different variants: pure software implementation in compute shader, using hardware accelerated ray queries, using full RTX pipeline. The goal of our work is to increase productivity of developers who are forced to use Vulkan due to various required hardware features in their software but still do care about cross-platform ability of the developed software and want to debug their algorithm logic on the CPU. Therefore, we assume that the user will take generated code and integrate it with hand-written Vulkan code.

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“…Other similar STL-based programming models include Microsoft's PPL (Parallel Patterns Library) (Parallel Patterns Library 2016), RAJA (Beckingsale et al 2019), etc. This kind of programming model implements the functions and their extensions in the standard C++ template library, and provides concurrent data structures.…”

Section: Stl-based Programming Modelsmentioning

confidence: 99%

Parallel programming models for heterogeneous many-cores: a comprehensive survey

et al. 2020

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Heterogeneous many-cores are now an integral part of modern computing systems ranging from embedding systems to supercomputers. While heterogeneous many-core design offers the potential for energy-efficient high-performance, such potential can only be unlocked if the application programs are suitably parallel and can be made to match the underlying heterogeneous platform. In this article, we provide a comprehensive survey for parallel programming models for heterogeneous many-core architectures and review the compiling techniques of improving programmability and portability. We examine various software optimization techniques for minimizing the communicating overhead between heterogeneous computing devices. We provide a road map for a wide variety of different research areas. We conclude with a discussion on open issues in the area and potential research directions. This article provides both an accessible introduction to the fast-moving area of heterogeneous programming and a detailed bibliography of its main achievements.

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Performance portable C++ programming with RAJA

Cited by 24 publications

References 0 publications

Large scale simulation of pressure induced phase-field fracture propagation using Utopia

Large scale simulation of pressure induced phase-field fracture propagation using Utopia

An Auto-Programming Approach to Vulkan

Parallel programming models for heterogeneous many-cores: a comprehensive survey

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