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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141-150 订阅

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XIndex: A Scalable Learned Index for Multicore Data Storage 20

XIndex: A Scalable Learned Index for Multicore Data Storage

引用

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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On the fly MHP Analysis 20

On the fly MHP Analysis

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

作者： Saha, Sonali Nandivada, V. Krishna IIT Madras Madras Tamil Nadu India

ISBN: (纸本)9781450368186

May-Happen-in-parallel (MHP) analysis forms the basis for many problems of program analysis and program understanding. MHP analysis can also be used by IDEs (integrateddevelopment-environments) to help programmers to refactor parallel-programs, identify racy programs, understand which parts of the program run in parallel, and so on. Since the code keeps changing in the IDE, re-computing the MHP information after every change can be an expensive affair. In this manuscript, we propose a novel scheme to perform incremental MHP analysis (on the fly) of programs written in task parallel languages like X10 to keep the MHP information up to date, in an IDE environment. the key insight of our proposed approach to maintain the MHP information up to date is that we need not rebuild (from scratch) every data structure related to MHP information, after each modification (addition or deletion of statements) in the source code. the idea is to reuse the old MHP information as much as possible and incrementally recompute the MHP information (of a small set of statements) which depends on the statement added/removed. We introduce two new algorithms that deal with addition and removal of parallel constructs like finish, async, atomic, and sequential constructs like loop, if, if-else and other sequential statements, on the fly. Our evaluation shows that our algorithms run much faster than the repeated invocations of the fastest known MHP analysis for X10 programs [Sankar et al. 2016].

关键词： Concurrent programs may happen in parallel analysis incremental analysis

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Designing and auto-tuning parallel 3-D FFT for computation-communication overlap 14

Designing and auto-tuning parallel 3-D FFT for computation-c...

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

作者： Song, Sukhyun Hollingsworth, Jeffrey K. Department of Computer Science University of Maryland College Park United States

ISBN: (纸本)9781450326568

this paper presents a method to design and auto-tune a new parallel 3-D FFT code using the non-blocking MPI all-to-all operation. We achieve high performance by optimizing computation-communication overlap. Our code performs fully asynchronous communication without any support from special hardware. We also improve cache performance through loop tiling. To cope with the complex tradeoff regarding our optimization techniques, we parameterize our code and auto-tune the parameters efficiently in a large parameter space. Experimental results from two systems confirm that our code achieves a speedup of up to 1.76× over the FFTW library. Copyright © 2014 acm.

关键词： Fast Fourier transforms

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Scaling LAPACK Panel Operations Using parallel Cache Assignment

Scaling LAPACK Panel Operations Using Parallel Cache Assignm...

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

作者： Castaldo, Anthony M. Whaley, R. Clint Univ Texas San Antonio Dept Comp Sci San Antonio TX 78249 USA

ISBN: (纸本)9781605587080

In LAPACK many matrix operations are cast as block algorithms which iteratively process a panel using an unblocked algorithm and then update a remainder matrix using the high performance Level 3 BLAS. the Level 3 BLAS have excellent weak scaling, but panel processing tends to be bus bound, and thus scales with bus speed rather than the number of processors (p). Amdahl's law therefore ensures that as p grows, the panel computation will become the dominant cost of these LAPACK routines. Our contribution is a novel parallel cache assignment approach which we show scales well with p. We apply this general approach to the QR and LU panel factorizations on two commodity 8-core platforms with very different cache structures, and demonstrate superlinear panel factorization speedups on both machines. Other approaches to this problem demand complicated reformulations of the computational approach, new kernels to be tuned, new mathematics, an inflation of the high-order flop count, and do not perform as well. By demonstrating a straight-forward alternative that avoids all of these contortions and scales with p, we address a critical stumbling block for dense linear algebra in the age of massive parallelism.

关键词： ATLAS LAPACK QR LU factorization parallel multicore multi-core GPU

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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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the lock-free k-LSM relaxed priority queue 2015

The lock-free k-LSM relaxed priority queue

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20th acm sigplan symposium on principles and practice of parallel programming, PPoPP 2015

作者： Wimmer, Martin Gruber, Jakob Träff, Jesper Larsson Tsigas, Philippas Faculty of Informatics Parallel Computing Vienna University of Technology Vienna/Wien1040 Austria Computer Science and Engineering Chalmers University of Technology Göteborg412 96 Sweden

ISBN: (纸本)9781450332057

We present a new, concurrent, lock-free priority queue that relaxes the delete-min operation to allow deletion of any of the ρ+1 smallest keys instead of only a minimal one, where ρ is a parameter that can be configured at runtime. It is built from a logarithmic number of sorted arrays, similar to log-structured merge-trees (LSM). For keys added and removed by the same thread the behavior is identical to a non-relaxed priority queue. We compare to state-of-the-art lock-free priority queues with both relaxed and non-relaxed semantics, showing high performance and good scalability of our approach.

关键词： parallel programming

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parallel Block-Delayed Sequences 22

Parallel Block-Delayed Sequences

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

作者： Westrick, Sam Rainey, Mike Anderson, Daniel Blelloch, Guy E. Carnegie Mellon Univ Pittsburgh PA 15213 USA

ISBN: (纸本)9781450392044

programming languages using functions on collections of values, such as map, reduce, scan and filter, have been used for over fifty years. Such collections have proven to be particularly useful in the context of parallelism because such functions are naturally parallel. However, if implemented naively they lead to the generation of temporary intermediate collections that can significantly increase memory usage and runtime. To avoid this pitfall, many approaches use "fusion" to combine operations and avoid temporary results. However, most of these approaches involve significant changes to a compiler and are limited to a small set of functions, such as maps and reduces. In this paper we present a library-based approach that fuses widely used operations such as scans, filters, and flattens. In conjunction with existing techniques, this covers most of the common operations on collections. Our approach is based on a novel technique which parallelizes over blocks, with streams within each block. We demonstrate the approach by implementing libraries targeting multicore parallelism in two languages: parallel ML and C++, which have very different semantics and compilers. To help users understand when to use the approach, we define a cost semantics that indicates when fusion occurs and how it reduces memory allocations. We present experimental results for a dozen benchmarks that demonstrate significant reductions in both time and space. In most cases the approach generates code that is near optimal for the machines it is running on.

关键词： parallel programming fusion collections functional programming

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Triolet: A programming system that unifies algorithmic skeleton interfaces for high-performance cluster computing 14

Triolet: A programming system that unifies algorithmic skele...

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

作者： Rodrigues, Christopher Jablin, thomas Dakkak, Abdul Hwu, Wen-Mei University of Illinois at Urbana-Champaign United States

ISBN: (纸本)9781450326568

Functional algorithmic skeletons promise a high-level programming interface for distributed-memory clusters that free developers from concerns of task decomposition, scheduling, and communication. Unfortunately, prior distributed functional skeleton frameworks do not deliver performance comparable to that achievable in a low-level distributed programming model such as C with MPI and OpenMP, even when used in concert with high-performance array libraries. there are several causes: they do not take advantage of shared memory on each cluster node;they impose a fixed partitioning strategy on input data;and they have limited ability to fuse loops involving skeletons that produce a variable number of outputs per input. We address these shortcomings in the Triolet programming language through a modular library design that separates concerns of parallelism, loop nesting, and data partitioning. We show how Triolet substantially improves the parallel performance of algorithms involving array traversals and nested, variable-size loops over what is achievable in Eden, a distributed variant of Haskell. We further demonstrate how Triolet can substantially simplify parallel programming relative to C with MPI and OpenMP while achieving 23.100% of its performance on a 128-core cluster. Copyright © 2014 acm.

关键词： parallel programming

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Efficient deterministic multithreading without global barriers 14

Efficient deterministic multithreading without global barrie...

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Proceedings of the 19th acm sigplan symposium on principles and practice of parallel programming

作者： Lu, Kai Zhou, Xu Bergan, Tom Wang, Xiaoping Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha China College of Computer National University of Defense Technology Changsha China University of Washington Computer Science and Engineering United States

ISBN: (纸本)9781450326568

Multithreaded programs execute nondeterministically on conventional architectures and operating systems. this complicates many tasks, including debugging and testing. Deterministic multithreading (DMT) makes the output of a multithreaded program depend on its inputs only, which can totally solve the above problem. However, current DMT implementations suffer from a common inefficiency: they use frequent global barriers to enforce a deterministic ordering on memory accesses. In this paper, we eliminate that inefficiency using an execution model we call deterministic lazy release consistency (DLRC). Our execution model uses the Kendo algorithm to enforce a deterministic ordering on synchronization, and it uses a deterministic version of the lazy release consistency memory model to propagate memory updates across threads. Our approach guarantees that programs execute deterministically even when they contain data races. We implemented a DMT system based on these ideas (RFDet) and evaluated it using 17 parallel applications. Our implementation targets C/C++ programs that use POSIX threads. Results show that RFDet gains nearly 2x speedup compared with Dthreads-a start-of-the-art DMT system. Copyright © 2014 acm.

关键词： C++ (programming language)

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Leapfrogging: A portable technique for implementing efficient futures 93

Leapfrogging: A portable technique for implementing efficien...

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

作者： Wagner, David B. Calder, Bradley G. Department of Computer Science University of Colorado Campus Box 430 Boulder80309-0430 United States

ISBN: (纸本)0897915895

A future is a language construct that allows programmers to expose parallelism in applicative languages such as MultiLisp [5] with minimal effort. In this paper we describe a technique for implementing futures, which we call leapfrogging, that reduces blocking due to load imbalance. the utility of leapfrogging is enhanced by the fact that it is completely platform-independent, is free from deadlock, and places a bound on stack sizes that is at most a small constant times the maximum stack size encountered during a sequential execution of the same computation. We demonstrate the performance of leapfrogging using a prototype implementation written in C++.

关键词： C++ (programming language)

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