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检索条件"任意字段=6th International IEEE/ACM Workshop on Extreme Scale Programming Models and Middleware, ESPM2 2021"

共 8 条记录，以下是1-10 订阅

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Proceedings of espm2 2021: 6th international ieee workshop on extreme scale programming models and middleware, Held in conjunction with SC 2021: the international Conference for High Performance Computing, Networking, Storage and Analysis

Proceedings of ESPM2 2021: 6th International IEEE Workshop o...

引用

6th international ieee/acm workshop on extreme scale programming models and middleware, espm2 2021

ISBN: (纸本)9781665411400

the proceedings contain 6 papers. the topics discussed include: scalable parallel algorithm for fast computation of transitive closure of graphs on shared memory architectures;accelerating messages by avoiding copies in an asynchronous task-based programming model;parallel SIMD - a policy based solution for free speed-up using C++ data-parallel types;Taskflow-San: sanitizing erroneous control flow in taskflow graphs;performance evaluation of python parallel programming models: Charm4py and mpi4py;and evaluation of distributed tasks in stencil-based application on GPUs.

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Proceedings of espm2 2020: 5th international ieee workshop on extreme scale programming models and middleware, Held in conjunction with SC 2020: the international Conference for High Performance Computing, Networking, Storage and Analysis

Proceedings of ESPM2 2020: 5th International IEEE Workshop o...

引用

5th ieee/acm international ieee workshop on extreme scale programming models and middleware, espm2 2020

ISBN: (纸本)9781665422840

the proceedings contain 6 papers. the topics discussed include: achieving computation-communication overlap with overdecomposition on GPU systems;deploying a task-based runtime system on Raspberry Pi clusters;Benesh: a programming model for coupled scientific workflows;refining FORTRAN failed images;compiler abstractions and runtime for extreme-scale SAR and CFD workloads;and the template task graph (TTG) — an emerging practical dataflow programming paradigm for scientific simulation at extreme scale.

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Taskflow-San: Sanitizing Erroneous Control Flow in Taskflow Graphs 6

Taskflow-San: Sanitizing Erroneous Control Flow in Taskflow ...

引用

ieee/acm 6th international workshop on extreme scale programming models and middleware (espm2)

作者： Mower, McKay Majors, Luke Huang, Tsung-Wei Univ Utah Dept Elect & Comp Engn Salt Lake City UT 84112 USA

ISBN: (纸本)9781665411400

Taskflow is a general-purpose parallel and heterogeneous task graph programming system that enables in-graph control flow to express end-to-end parallelism. By integrating control-flow decisions into condition tasks, developers can efficiently overlap CPU-GPU dependent tasks both inside and outside control flow, largely enhancing the capability of task graph parallelism. Condition tasks are powerful but also mistake-prone. For large task graphs, users can easily encounter erroneous control-flow tasks that cannot be correctly scheduled by the Taskflow runtime. To overcome this challenge, this paper introduces a new instrumentation module, Taskflow-San, to assist users to detect erroneous control-flow tasks in Taskflow graphs.

关键词： Runtime Instruments Conferences programming Parallel processing System recovery Task analysis

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Accelerating Messages by Avoiding Copies in an Asynchronous Task-based programming Model 6

Accelerating Messages by Avoiding Copies in an Asynchronous ...

引用

ieee/acm 6th international workshop on extreme scale programming models and middleware (espm2)

作者： Bhat, Nitin White, Sam Ramos, Evan Kale, Laxmikant, V Charmworks Inc Urbana IL 61801 USA Univ Illinois Dept Comp Sci Urbana IL USA

ISBN: (纸本)9781665411400

Task-based programming models promise improved communication performance for irregular, fine-grained, and load imbalanced applications. they do so by relaxing some of the messaging semantics of stricter models and taking advantage of those at the lower-levels of the software stack. For example, while MPI's two-sided communication model guarantees in-order delivery, requires matching sends to receives, and has the user schedule communication, task-based models generally favor the runtime system scheduling all execution based on the dependencies and message deliveries as they happen. the messaging semantics are critical to enabling high performance. In this paper, we build on previous work that added zero copy semantics to Converse/LRTS. We examine the messaging semantics of Charm++ as it relates to large message buffers, identify shortcomings, and define new communication APIs to address them. Our work enables in-place communication semantics in the context of point-to-point messaging, broadcasts, transmission of read-only variables at program startup, and for migration of chares. We showcase the performance of our new communication APIs using benchmarks for Charm++ and Adaptive MPI, which result in nearly 90% latency improvement and 2x lower peak memory usage.

关键词： Charm plus AMPI RDMA Parallel programming Asynchronous Tasking Communication Optimizations

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Performance Evaluation of Python Parallel programming models: And mpi4py 6

Performance Evaluation of Python Parallel Programming Models...

引用

6th international ieee/acm workshop on extreme scale programming models and middleware, espm2 2021

作者： Fink, Zane Liu, Simeng Choi, Jaemin Diener, Matthias Kale, Laxmikant V. University of Illinois at Urbana-Champaign Department of Computer Science UrbanaIL United States

ISBN: (纸本)9781665411400

Python is rapidly becoming the lingua franca of machine learning and scientific computing. With the broad use of frameworks such as Numpy, SciPy, and TensorFlow, scientific computing and machine learning are seeing a productivity boost on systems without a requisite loss in performance. While high-performance libraries often provide adequate performance within a node, distributed computing is required to scale Python across nodes and make it genuinely competitive in large-scale high-performance computing. Many frameworks, such as Charm4Py, DaCe, Dask, Legate Numpy, mpi4py, and Ray, scale Python across nodes. However, little is known about these frameworks' relative strengths and weaknesses, leaving practitioners and scientists without enough information about which frameworks are suitable for their requirements. In this paper, we seek to narrow this knowledge gap by studying the relative performance of two such frameworks: Charm4Py and *** perform a comparative performance analysis of Charm4Py and mpi4py using CPU and GPU-based microbenchmarks other representative mini-apps for scientific computing. © 2021 ieee.

关键词： Python

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workshop Organization

Workshop Organization

引用

international workshop on extreme scale programming models and Middlewar (espm2)

Provides a listing of current committee members and society officers.

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Message from the workshop Chairs

Message from the Workshop Chairs

引用

international workshop on extreme scale programming models and Middlewar (espm2)

Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.

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Message from the workshop Chairs

Proceedings of ESPM2 2021: 6th International IEEE Workshop o...

引用

Proceedings of espm2 2021: 6th international ieee workshop on extreme scale programming models and middleware, Held in conjunction with SC 2021: the international Conference for High Performance Computing, Networking, Storage and Analysis 2021年 V页

作者： Subramoni, Hari Panda, Dhabaleswar K. Shafi, Aamir Schulz, Karl W. The Ohio State University United States Ut Austin United States

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