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检索条件"任意字段=17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming"

共 368 条记录，以下是121-130 订阅

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Lock-free channels for programming via communicating sequential processes 19

Lock-free channels for programming via communicating sequent...

引用

24th acm sigplan symposium on principles and practice of parallel programming, PPoPP 2019

作者： Koval, Nikita Alistarh, Dan Elizarov, Roman IST Austria Austria JetBrains Austria

ISBN: (纸本)9781450362252

Traditional concurrent programming involves manipulating shared mutable state. Alternatives to this programming style are communicating sequential processes (CSP) [1] and actor [2] models, which share data via explicit communication. Rendezvous channel is the common abstraction for communication between several processes, where senders and receivers perform a rendezvous handshake as a part of their protocol (senders wait for receivers and vice versa). Additionally to this, channels support the select expression. In this work, we present the first eficient lock-free channel algorithm, and compare it against Go [3] and Kotlin [4] baseline implementations. © 2019 Copyright held by the owner/author(s).

关键词： Locks (fasteners)

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Shared-memory performance profiling 97

Shared-memory performance profiling

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Proceedings of the 1997 6th acm sigplan symposium on principles and practice of parallel programming

作者： Xu, Zhichen Larus, James R. Miller, Barton P. Univ of Wisconsin Madison WI United States

ISBN: (纸本)9780897919067

this paper describes a new approach to finding performance bottlenecks in shared-memory parallel programs and its embodiment in the Paradyn parallel Performance Tools running with the Blizzard fine-grain distributed shared memory system. this approach exploits the underlying system's cache coherence protocol to detect data sharing patterns that indicate potential performance bottlenecks and presents performance measurements in a data-centric manner. As a demonstration, Paradyn helped us improve the performance of a new shared-memory application program by a factor of four.

关键词： parallel processing systems

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Is Transactional programming Actually Easier?

Is Transactional Programming Actually Easier?

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

作者： Rossbach, Christopher J. Hofmann, Owen S. Witchel, Emmett Univ Texas Austin Austin TX 78712 USA

ISBN: (纸本)9781605587080

Chip multi-processors (CMPs) have become ubiquitous, while tools that ease concurrent programming have not. the promise of increased performance for all applications through ever more parallel hardware requires good tools for concurrent programming, especially for average programmers. Transactional memory (TM) has enjoyed recent interest as a tool that can help programmers program concurrently. the transactional memory (TM) research community is heavily invested in the claim that programming with transactional memory is easier than alternatives (like locks), but evidence for or against the veracity of this claim is scant. In this paper, we describe a user-study in which 237 undergraduate students in an operating systems course implement the same programs using coarse and fine-grain locks, monitors, and transactions. We surveyed the students after the assignment, and examined their code to determine the types and frequency of programming errors for each synchronization technique. Inexperienced programmers found baroque syntax a barrier to entry for transactional programming. On average, subjective evaluation showed that students found transactions harder to use than coarse-grain locks, but slightly easier to use than fine-grained locks. Detailed examination of synchronization errors in the students' code tells a rather different story. Overwhelmingly, the number and types of programming errors the students made was much lower for transactions than for locks. On a similar programming problem, over 70% of students made errors with fine-grained locking, while less than 10% made errors with transactions.

关键词： Design Performance Transactional Memory Optimistic Concurrency Synchronization

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Fine-grain parallel megabase sequence comparison with multiple heterogeneous GPUs 14

Fine-grain parallel megabase sequence comparison with multip...

引用

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

作者： De Sandes, Edans F.O. Miranda, Guillermo Melo, Alba C.M.A. Martorell, Xavier Ayguadé, Eduard University of Brasilia Brazil Universitat Politècnica de Catalunya Barcelona Supercomputing Center Spain

ISBN: (纸本)9781450326568

this paper proposes and evaluates a parallel strategy to execute the exact Smith-Waterman (SW) algorithm for megabase DNA sequences in heterogeneous multi-GPU platforms. In our strategy, the computation of a single huge SW matrix is spread over multiple GPUs, which communicate border elements to the neighbour, using a circular buffer mechanism that hides the communication overhead. We compared 4 pairs of human-chimpanzee homologous chromosomes using 2 different GPU environments, obtaining a performance of up to 140.36 GCUPS (Billion of cells processed per second) with 3 heterogeneous GPUS.

关键词： Graphics processing unit

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Petascale Computing with Accelerators

Petascale Computing with Accelerators

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

作者： Kistler, Michael Gunnels, John Brokenshire, Daniel Benton, Brad IBM Corp Austin TX 78758 USA IBM Corp Yorktown Hts NY 10598 USA

ISBN: (纸本)9781605583976

A trend is developing in high performance computing in which commodity processors are coupled to various types of computational accelerators. Such systems are commonly called hybrid systems. In this paper, we describe our experience developing an implementation of the Linpack benchmark for a petascale hybrid system, the LANL Roadrunner cluster built by IBM for Los Alamos National Laboratory. this system combines traditional x86-64 host processors with IBM PowerXCell (TM) 8i accelerator processors. the implementation of Linpack we developed was the first to achieve a performance result in excess of 1.0 PFLOPS, and made Roadrunner the #1 system on the Top500 list in June 2008. We describe the design and implementation of hybrid Linpack, including the special optimizations we developed for this hybrid architecture. We then present actual results for single node and multi-node executions. From this work, we conclude that it is possible to achieve high performance for certain applications on hybrid architectures when careful attention is given to efficient use of memory bandwidth, scheduling of data movement between the host and accelerator memories, and proper distribution of work between the host and accelerator processors.

关键词： Algorithms Performance Design Accelerators hybrid programming models

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Implementing parallel and Concurrent Tree Structures 19

Implementing Parallel and Concurrent Tree Structures

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24th acm sigplan symposium on principles and practice of parallel programming (PPoPP)

作者： Sun, Yihan Blelloch, Guy Carnegie Mellon Univ Pittsburgh PA 15213 USA

ISBN: (纸本)9781450362252

As one of the most important data structures used in algorithm design and programming, balanced search trees are widely used in real-world applications for organizing data. Answering the challenges thrown up by modern largevolume and ever-changing data, it is important to consider parallelism, concurrency, and persistence. this tutorial will introduce techniques for supporting functionalities on trees, including various parallel algorithms, concurrency, multiversioning, etc. In particular, this tutorial will focus on an algorithmic framework for parallel balanced binary trees, which works for multiple balancing schemes, including AVL trees, red-black trees, weight-based trees, and treaps. this framework allows for theoretically-efficient algorithms. the corresponding implementation is available as a library, which demonstrates good performance both sequentially and in parallel in various use scenarios. this tutorial will focus on the following topics: 1) the algorithms and techniques used in the PAM library;2) the interface of the library and a hands-on introduction to the download/installation of the library;3) examples of applying the library to various applications and 4) introduction about other useful techniques for parallel tree structures and performance comparisons with PAM.

关键词： balanced tree augmented map parallel concurrent library PAM ordered set ordered map

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XIndex: A Scalable Learned Index for Multicore Data Storage 20

XIndex: A Scalable Learned Index for Multicore Data Storage

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25th acm sigplan symposium on principles and practice of parallel programming (PPoPP)

作者： Tang, Chuzhe Wang, Youyun Dong, Zhiyuan Hu, Gansen Wang, Zhaoguo Wang, Minjie Chen, Haibo Shanghai Jiao Tong Univ Inst Parallel & Distributed Syst Shanghai Peoples R China Shanghai Jiao Tong Univ Shanghai Key Lab Scalable Comp & Syst Shanghai Peoples R China NYU Dept Comp Sci New York NY 10003 USA

ISBN: (纸本)9781450368186

We present XIndex, a concurrent ordered index designed for fast queries. Similar to a recent proposal of the learned index, XIndex uses learned models to optimize index efficiency. Comparing with the learned index, XIndex is able to effectively handle concurrent writes without affecting the query performance by leveraging fine-grained synchronization and a new compaction scheme, Two-Phase Compaction. Furthermore, XIndex adapts its structure according to runtime workload characteristics to support dynamic workload. We demonstrate the advantages of XIndex with both YCSB and TPC-C (KV), a TPC-C variant for key-value stores. XIndex achieves up to 3.2x and 4.4x performance improvement comparing with Masstree and Wormhole, respectively, on a 24-core machine, and it is open-sourced(1).

关键词： Compaction

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GENERATING parallel CODE FROM OBJECT-ORIENTED MAthEMATICAL-MODELS

GENERATING PARALLEL CODE FROM OBJECT-ORIENTED MATHEMATICAL-M...

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5th acm sigplan symposium on principles and practice of parallel programming

作者： ANDERSSON, N FRITZSON, P Linkoping Univ Linkoping Sweden

For a long time efficient use of parallel computers has been hindered by dependencies introduced in software through low-level implementation practice. In this paper we present a programming environment and language called Object-Math (Object oriented Mathematical language for scientific computing), which aims at eliminating this problem by allowing the user to represent mathematical equation-based models directly in the system. the system performs analysis of mathematical models to extract parallelism and automatically generates parallel code for numerical solution. In the context of industrial applications in mechanical analysis, we have so far primarily explored generation of parallel code for solving systems of ordinary differential equations (ODEs), in addition to preliminary work on generating code for solving partial differential equations. Two approaches to extracting parallelism have been implemented and evaluated: extracting parallelism at the equation system level and at the single equation level, respectively. We found that for several applications the corresponding systems of equations do not partition well into subsystems. this means that the equation system level approach is of restricted general applicability. thus, we focused on the equation-level approach which yielded significant parallelism for ODE systems solution. For the bearing simulation applications we present here, the achieved speedup is however critically dependent on low communication latency of the parallel computer.

关键词： parallel processing systems

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Correct and efficient work-stealing for weak memory models 13

Correct and efficient work-stealing for weak memory models

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18th acm sigplan symposium on principles and practice of parallel programming, PPoPP 2013

作者： Lê, Nhat Minh Pop, Antoniu Cohen, Albert Zappa Nardelli, Francesco INRIA ENS Paris Paris France

ISBN: (纸本)9781450319225

Chase and Lev's concurrent deque is a key data structure in shared-memory parallel programming and plays an essential role in work-stealing schedulers. We provide the first correctness proof of an optimized implementation of Chase and Lev's deque on top of the POWER and ARM architectures: these provide very relaxed memory models, which we exploit to improve performance but considerably complicate the reasoning. We also study an optimized x86 and a portable C11 implementation, conducting systematic experiments to evaluate the impact of memory barrier optimizations. Our results demonstrate the benefits of hand tuning the deque code when running on top of relaxed memory models. © 2013 acm.

关键词： parallel programming

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parallel programming with big operators 13

Parallel programming with big operators

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18th acm sigplan symposium on principles and practice of parallel programming, PPoPP 2013

作者： Park, Changhee Steele Jr., Guy L. Tristan, Jean-Baptiste KAIST Seoul Korea Republic of Oracle Labs. Burlington MA United States

ISBN: (纸本)9781450319225

In the sciences, it is common to use the so-called "big operator" notation to express the iteration of a binary operator (the reducer) over a collection of values. Such a notation typically assumes that the reducer is associative and abstracts the iteration process. Consequently, from a programming point-of-view, we can organize the reducer operations to minimize the depth of the overall reduction, allowing a potentially parallel evaluation of a big operator expression. We believe that the big operator notation is indeed an effective construct to express parallel computations in the Generate/Map/Reduce programming model, and our goal is to introduce it in programming languages to support parallel programming. the effective definition of such a big operator expression requires a simple way to generate elements, and a simple way to declare algebraic properties of the reducer (such as its identity, or its commutativity). In this poster, we want to present an extension of Scala with support for big operator expressions. We show how big operator expressions are defined and how the API is organized to support the simple definition of reducers with their algebraic properties. © 2013 Authors.

关键词： parallel programming

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