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Titlebook: Languages and Compilers for Parallel Computing; 29th International W Chen Ding,John Criswell,Peng Wu Conference proceedings 2017 The Editor

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發(fā)表于 2025-3-21 18:17:33 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Languages and Compilers for Parallel Computing
副標(biāo)題29th International W
編輯Chen Ding,John Criswell,Peng Wu
視頻videohttp://file.papertrans.cn/582/581176/581176.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Languages and Compilers for Parallel Computing; 29th International W Chen Ding,John Criswell,Peng Wu Conference proceedings 2017 The Editor
描述.This book constitutes the thoroughly refereed post-conference proceedings of the 29th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2016, held in Rochester, NY, USA, in September 2016..The 20 revised full papers presented together with 4 short papers were carefully reviewed. The papers are organized in topical sections on large scale parallelism, resilience and persistence, compiler analysis and optimization, dynamic computation and languages, GPUs and private memory, and runt-time and performance analysis..
出版日期Conference proceedings 2017
關(guān)鍵詞compilers; concurrency; concurrent programming; data structures; distributed computing; Graphics Processi
版次1
doihttps://doi.org/10.1007/978-3-319-52709-3
isbn_softcover978-3-319-52708-6
isbn_ebook978-3-319-52709-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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ParFuse: Parallel and Compositional Analysis of Message Passing Programs static analysis techniques fail to interpret the message passing semantics of the MPI and lack the ability to optimize or check the message passing behaviors of MPI programs. In this paper, we introduce an abstraction for approximating the message passing behaviors of MPI programs that is more prec
地板
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Fast Approximate Distance Queries in Unweighted Graphs Using Bounded Asynchronyrol both the performance and error of the algorithm. This work is based on the .-level asynchronous (KLA) paradigm that trades expensive global synchronizations in the level-synchronous model for local synchronizations in the asynchronous model, which may result in redundant work. Instead of correct
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Energy Avoiding Matrix Multiplyercome this inversion while remaining energy-efficient, we present a dynamic tiling scheme which we apply to solve the classic Matrix Multiply algorithm. The tiling scheme follows a Hilbert-Inspired Curve strategy to minimize data movement energy, while still allowing for slack and variance within t
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Language Support for Reliable Memory Regionslogies to adapt to the rapid evolution of architectures of supercomputing systems. The constraints of power have driven system designs to include increasingly heterogeneous architectures and diverse memory technologies and interfaces. Future systems are also expected to experience an increased rate
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Adaptive Software Caching for Efficient NVRAM Data Persistencef persistence. In particular, cache lines have to be flushed frequently to guarantee consistent, persistent program states. In this paper, we optimize data persistence by proposing a software cache. The software cache first buffers lines that need to be flushed, and then flushes them out at an appro
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Polyhedral Compiler Technology in Collaboration with Autotuning Important to Domain-Specific Framewoual optimization strategies into software modules or (semi-)automated tools. In such frameworks, optimizations and optimization strategies capitalize on knowledge of the requirements of a particular application domain?to achieve high performance and architecture portability. While many strategies ha
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An Extended Polyhedral Model for SPMD Programs and Its Use in Static Data Race Detectionemplified by OpenMP for multicore systems and CUDA and OpenCL for accelerator systems. The basic idea behind the SPMD model, which makes it different from task-parallel models, is that all logical processors (worker threads) execute the same program with sequential code executed redundantly and para
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