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检索条件"任意字段=9th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming"

共 385 条记录，以下是71-80 订阅

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Pure: Evolving Message Passing To Better Leverage Shared Memory Within Nodes 24

Pure: Evolving Message Passing To Better Leverage Shared Mem...

引用

29th acm sigplan Annual symposium on principles and practice of parallel programming (PPoPP)

作者： Psota, James Solar-Lezama, Armando MIT CSAIL Cambridge MA 02139 USA

ISBN: (纸本)9798400704352

Pure is a new programming model and runtime system explicitly designed to take advantage of shared memory within nodes in the context of a mostly message passing interface enhanced with the ability to use tasks to make use of idle cores. Pure leverages shared memory in two ways: (a) by allowing cores to steal work from each other while waiting on messages to arrive, and, (b) by leveraging *** lock-free data structures in shared memory to achieve highperformance messaging and collective operations between the ranks within nodes. We use microbenchmarks to evaluate Pure's key messaging and collective features and also show application speedups up to 2.1 Chi on the CoMD molecular dynamics and the miniAMR adaptive mesh *** applications scaling up to 4,096 cores.

关键词： parallel programming models distributed runtime systems task-based parallelism concurrent data structures lock-free data structures

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the Boat Hull Model: Adapting the Roofline Model to Enable Performance Prediction for parallel Computing 12

The Boat Hull Model: Adapting the Roofline Model to Enable P...

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17th acm sigplan symposium on principles and practice of parallel programming

作者： Nugteren, Cedric Corporaal, Henk Eindhoven Univ Technol NL-5600 MB Eindhoven Netherlands

ISBN: (纸本)9781450311601

Multi-core and many-core were already major trends for the past six years, and are expected to continue for the next decades. With these trends of parallel computing, it becomes increasingly difficult to decide on which architecture to run a given application. In this work, we use an algorithm classification to predict performance prior to algorithm implementation. For this purpose, we modify the roofline model to include class information. In this way, we enable architectural choice through performance prediction prior to the development of architecture specific code. the new model, the boat hull model, is demonstrated using a GPU as a target architecture. We show for 6 example algorithms that performance is predicted accurately without requiring code to be available.

关键词： Performance parallel computing performance prediction many-core accelerators the roofline model

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parallelizing dynamic programming through rank convergence 14

Parallelizing dynamic programming through rank convergence

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2014 19th acm sigplan symposium on principles and practice of parallel programming, PPoPP 2014

作者： Maleki, Saeed Musuvathi, Madanlal Mytkowicz, Todd Univerity of Illinois at Urbana-Champaign United States Microsoft Research United States

ISBN: (纸本)9781450326568

this paper proposes an efficient parallel algorithm for an important class of dynamic programming problems that includes Viterbi, Needleman-Wunsch, Smith-Waterman, and Longest Common Subsequence. In dynamic programming, the subproblems that do not depend on each other, and thus can be computed in parallel, form stages or wavefronts. the algorithm presented in this paper provides additional parallelism allowing multiple stages to be computed in parallel despite dependences among them. the correctness and the performance of the algorithm relies on rank convergence properties of matrix multiplication in the tropical semiring, formed with plus as the multiplicative operation and max as the additive operation. this paper demonstrates the efficiency of the parallel algorithm by showing significant speed ups on a variety of important dynamic programming problems. In particular, the parallel Viterbi decoder is up-to 24× faster (with 64 processors) than a highly optimized commercial baseline. Copyright © 2014 acm.

关键词： Dynamic programming

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Transforming high-level data-parallel programs into vector operations 93

Transforming high-level data-parallel programs into vector o...

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4th acm sigplan symposium on principles and practice of parallel programming, PPOPP 1993

作者： Prins, Jan F. Palmer, Daniel W. Department of Computer Science University of North Carolina Chapel HillNC27599-3175 United States

ISBN: (纸本)0897915895

Efficient parallel execution of a high-level data-parallel language based on nested sequences, higher order functions and generalized iterators can be realized in the vector model using a suitable representation of nested sequences and a small set of transformational rules to distribute iterators through the constructs of the language. © 1993 acm.

关键词： Metadata

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Space and time efficient execution of parallel irregular computations

Space and time efficient execution of parallel irregular com...

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6th acm sigplan symposium on principles and practice of parallel programming

作者： Fu, C Yang, T Univ of California Santa Barbara United States

Solving problems of large sizes is an important goal for parallel machines with multiple CPU and memory resources. In this paper, issues of efficient execution of overhead-sensitive parallel irregular computation under memory constraints are addressed. the irregular parallelism is modeled by task dependence graphs with mixed granularities. the trade-off in achieving both time and space efficiency is investigated. the main difficulty of designing efficient run-time system support is caused by the use of fast communication primitives available on modern parallel architectures. A run-time active memory management scheme and new scheduling techniques are proposed to improve memory utilization while retaining good time efficiency, and a theoretical analysis on correctness and performance is provided. this work is implemented in the context of RAPID system [5] which provides run-time support for parallelizing irregular code on distributed memory machines and the effectiveness of the proposed techniques is verified on sparse Cholesky and LU factorization with partial pivoting. the experimental results on Cray-T3D show that solvable problem sizes can be increased substantially under limited memory capacities and the loss of execution efficiency caused by the extra memory managing overhead is reasonable.

关键词： parallel processing systems

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TigerQuoll: parallel Event-based JavaScript 13

TigerQuoll: Parallel Event-based JavaScript

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18th acm sigplan symposium on principles and practice of parallel programming

作者： Bonetta, Daniele Binder, Walter Pautasso, Cesare Univ Lugano USI Fac Informat Lugano Switzerland

ISBN: (纸本)9781450319225

JavaScript, the most popular language on the Web, is rapidly moving to the server-side, becoming even more pervasive. Still, JavaScript lacks support for shared memory parallelism, making it challenging for developers to exploit multicores present in both servers and clients. In this paper we present TigerQuoll, a novel API and runtime for parallel programming in JavaScript. TigerQuoll features an event-based API and a parallel runtime allowing applications to exploit a mutable shared memory space. the programming model of TigerQuoll features automatic consistency and concurrency management, such that developers do not have to deal with shared-data synchronization. TigerQuoll supports an innovative transaction model that allows for eventual consistency to speed up high-contention workloads. Experiments show that TigerQuoll applications scale well, allowing one to implement common parallelism patterns in JavaScript.

关键词： Languages Performance JavaScript Event-based programming parallelism Eventual Transactions

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POSTER: LB-HM: Load Balance-Aware Data Placement on Heterogeneous Memory for Task-parallel HPC Applications 27

POSTER: LB-HM: Load Balance-Aware Data Placement on Heteroge...

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27th acm sigplan symposium on principles and practice of parallel programming (PPoPP)

作者： Xie, Zhen Liu, Jie Ma, Sam Li, Jiajia Li, Dong Univ Calif Merced CA USA Coll William Mary Williamsburg WA USA

ISBN: (纸本)9781450392044

the emergence of heterogeneous memory (HM) provides a cost-effective and high-performance solution to memory-consuming HPC applications. However, using HM, wisely migrating data objects on it is critical for high performance. In this work, we introduce a load balance-aware page management system, named LB-HM. LB-HM introduces task semantics during memory profiling, rather than being application-agnostic. Evaluating with a set of memory-consuming HPC applications, we show that we show that LB-HM reduces existing load imbalance and leads to an average of 17.1% and 15.4% (up to 26.0% and 23.2%) performance improvement, compared with a hardware-based solution and an industry-quality software-based solution on Optane-based HM.

关键词： Semantics

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Load Balancing on Speed

Load Balancing on Speed

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15th acm sigplan symposium on principles and practice of parallel programming

作者： Hofmeyr, Steven Iancu, Costin Blagojevic, Filip Lawrence Berkeley Natl Lab Berkeley CA USA

ISBN: (纸本)9781605587080

To fully exploit multicore processors, applications are expected to provide a large degree of thread-level parallelism. While adequate for low core counts and their typical workloads, the current load balancing support in operating systems may not be able to achieve efficient hardware utilization for parallel workloads. Balancing run queue length globally ignores the needs of parallel applications where threads are required to make equal progress. In this paper we present a load balancing technique designed specifically for parallel applications running on multicore systems. Instead of balancing run queue length, our algorithm balances the time a thread has executed on "faster" and "slower" cores. We provide a user level implementation of speed balancing on UMA and NUMA multi-socket architectures running Linux and discuss behavior across a variety of workloads, usage scenarios and programming models. Our results indicate that speed balancing when compared to the native Linux load balancing improves performance and provides good performance isolation in all cases considered. Speed balancing is also able to provide comparable or better performance than DWRR, a fair multi-processor scheduling implementation inside the Linux kernel. Furthermore, parallel application performance is often determined by the implementation of synchronization operations and speed balancing alleviates the need for tuning the implementations of such primitives.

关键词： Experimentation theory Performance Measurement Languages Design parallel programming Operating System Load Balancing Speed Balancing Multicore Multisocket

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Mapping parallelism to Multi-cores: A Machine Learning Based Approach

Mapping Parallelism to Multi-cores: A Machine Learning Based...

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14th acm sigplan symposium on principles and practice of parallel programming

作者： Wang, Zheng O'Boyle, Michael F. P. Univ Edinburgh Sch Informat Edinburgh EH8 9YL Midlothian Scotland

ISBN: (纸本)9781605583976

the efficient mapping of program parallelism to multi-core processors is highly dependent on the underlying architecture. this paper proposes a portable and automatic compiler-based approach to mapping such parallelism using machine learning. It develops two predictors: a data sensitive and a data insensitive predictor to select the best mapping for parallel programs. they predict the number of threads and the scheduling policy for any given program using a model learnt off-line. By using low-cost profiling runs, they predict the mapping for a new unseen program across multiple input data sets. We evaluate our approach by selecting parallelism mapping configurations for OpenMP programs on two representative but different multi-core platforms (the Intel Xeon and the Cell processors). Performance of our technique is stable across programs and architectures. On average, it delivers above 96% performance of the maximum available on both platforms. It achieve, on average, a 37% (up to 17.5 times) performance improvement over the OpenMP runtime default scheme on the Cell platform. Compared to two recent prediction models, our predictors achieve better performance with a significant lower profiling cost.

关键词： Experimentation Languages Performance Compiler optimization Performance modeling Machine learning Artificial neural networks Support vector machine

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Expressing Graph Algorithms Using Generalized Active Messages 13

Expressing Graph Algorithms Using Generalized Active Message...

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18th acm sigplan symposium on principles and practice of parallel programming

作者： Edmonds, Nick Willcock, Jeremiah Lumsdaine, Andrew Indiana Univ Bloomington IN 47405 USA

ISBN: (纸本)9781450319225

Recently, graph computation has emerged as an important class of high-performance computing application whose characteristics differ markedly from those of traditional, compute-bound, kernels. Libraries such as BLAS, LAPACK, and others have been successful in codifying best practices in numerical computing. the data-driven nature of graph applications necessitates a more complex application stack incorporating runtime optimization. In this paper, we present a method of phrasing graph algorithms as collections of asynchronous, concurrently executing, concise code fragments which may be invoked both locally and in remote address spaces. A runtime layer performs a number of dynamic optimizations, including message coalescing, message combining, and software routing. Practical implementations and performance results are provided for a number of representative algorithms.

关键词： parallel Graph Algorithms Active Messages parallel programming Models

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