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检索条件"任意字段=16th ACM Symposium on Principles and Practice of Parallel Programming"

共 407 条记录，以下是161-170 订阅

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Space-efficient implementation of nested parallelism

Space-efficient implementation of nested parallelism

引用

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

作者： Narlikar, Girija J. Blelloch, Guy E. CMU Sch of Computer Science Pittsburgh United States

Many of today's high level parallel languages support dynamic, fine-grained parallelism. these languages allow the user to expose all the parallelism in the program, which is typically of a much higher degree than the number of processors. Hence an efficient scheduling algorithm is required to assign computations to processors at runtime. Besides having low overheads and good load balancing, it is important for the scheduling algorithm to minimize the space usage of the parallel program. this paper presents a scheduling algorithm that is provably space-efficient and time-efficient for nested parallel languages. In addition to proving the space and time bounds of the parallel schedule generated by the algorithm, we demonstrate that it is efficient in practice. We have implemented a runtime system that uses our algorithm to schedule parallel threads. the results of executing parallel programs on this system show that our scheduling algorithm significantly reduces memory usage compared to previous techniques, without compromising performance.

关键词： parallel processing systems

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Extending a C-like Language for Portable SIMD programming 12

Extending a C-like Language for Portable SIMD Programming

引用

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

作者： Leissa, Roland Hack, Sebastian Wald, Ingo Univ Saarland Compiler Design Lab Saarbrucken Germany Intel Corp Visual Applicat Res Santa Clara CA 95051 USA

ISBN: (纸本)9781450311601

SIMD instructions are common in CPUs for years now. Using these instructions effectively requires not only vectorization of code, but also modifications to the data layout. However, automatic vectorization techniques are often not powerful enough and suffer from restricted scope of applicability;hence, programmers often vectorize their programs manually by using intrinsics: compiler-known functions that directly expand to machine instructions. they significantly decrease programmer productivity by enforcing a very error-prone and hard-to-read assembly-like programming style. Furthermore, intrinsics are not portable because they are tied to a specific instruction set. In this paper, we show how a C-like language can be extended to allow for portable and efficient SIMD programming. Our extension puts the programmer in total control over where and how control-flow vectorization is triggered. We present a type system and a formal semantics of our extension and prove the soundness of the type system. Using our prototype implementation IVL that targets Intel's MIC architecture and SSE instruction set, we show that the generated code is roughly on par with handwritten intrinsic code.

关键词： Languages Performance theory language theory parallel programming polymorphism semantics SIMD SIMT type system vectorization

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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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Eunomia: Scaling Concurrent Search Trees under Contention Using HTM 17

Eunomia: Scaling Concurrent Search Trees under Contention Us...

引用

22nd acm SIGPLAN symposium on principles and practice of parallel programming (PPoPP)

作者： Wang, Xin Zhang, Weihua Wang, Zhaoguo Wei, Ziyun Chen, Haibo Zhao, Wenyun Fudan Univ Software Sch Shanghai Peoples R China Fudan Univ Shanghai Key Lab Data Sci Shanghai Peoples R China Fudan Univ Sch Comp Sci Shanghai Peoples R China Shanghai Jiao Tong Univ Inst Parallel & Distributed Syst Shanghai Peoples R China NYU Comp Sci Dept New York NY 10003 USA

ISBN: (纸本)9781450344937

While hardware transactional memory (HTM) has recently been adopted to construct efficient concurrent search tree structures, such designs fail to deliver scalable performance under contention. In this paper, we first conduct a detailed analysis on an HTM-based concurrent B+Tree, which uncovers several reasons for excessive HTM aborts induced by both false and true conflicts under contention. Based on the analysis, we advocate Eunomia, a design pattern for search trees which contains several principles to reduce HTM aborts, including splitting HTM regions with version based concurrency control to reduce HTM working sets, partitioned data layout to reduce false conflicts, proactively detecting and avoiding true conflicts, and adaptive con currency control. To validate their effectiveness, we apply such designs to construct a scalable concurrent B+Tree using HTM. Evaluation using key-value store benchmarks on a 20-core HTM-capable multi-core machine shows that Eunomia leads to 5X-11X speedup under high contention, while incurring small overhead under low contention.

关键词： Hardware Transactional Memory Concurrent Search Tree Opportunistic Consistency

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Scalable GPU Graph Traversal 12

Scalable GPU Graph Traversal

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

作者： Merrill, Duane Garland, Michael Grimshaw, Andrew Univ Virginia Charlottesville VA 22903 USA NVIDIA Corp Santa Clara CA USA

ISBN: (纸本)9781450311601

Breadth-first search (BFS) is a core primitive for graph traversal and a basis for many higher-level graph analysis algorithms. It is also representative of a class of parallel computations whose memory accesses and work distribution are both irregular and data-dependent. Recent work has demonstrated the plausibility of GPU sparse graph traversal, but has tended to focus on asymptotically inefficient algorithms that perform poorly on graphs with non-trivial diameter. We present a BFS parallelization focused on fine-grained task management constructed from efficient prefix sum that achieves an asymptotically optimal O(|V|+|E|) work complexity. Our implementation delivers excellent performance on diverse graphs, achieving traversal rates in excess of 3.3 billion and 8.3 billion traversed edges per second using single and quad-GPU configurations, respectively. this level of performance is several times faster than state-of-the-art implementations both CPU and GPU platforms.

关键词： Algorithms performance Breadth-first search GPU graph algorithms parallel algorithms prefix sum graph traversal sparse graph

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High performance synchronization algorithms for multiprogrammed multiprocessors

High performance synchronization algorithms for multiprogram...

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Proceedings of the 5th acm SIGPLAN symposium on principles and practice of parallel programming

作者： Wisniewski, Robert W. Kontothanassis, Leonidas I. Scott, Michael L. Univ of Rochester Rochester United States

Scalable busy-wait synchronization algorithms are essential for achieving good parallel program performance on large scale multiprocessors. Such algorithms include mutual exclusion locks, reader-writer locks, and barrier synchronization. Unfortunately, scalable synchronization algorithms are particularly sensitive to the effects of multiprogramming: their performance degrades sharply when processors are shared among different applications, or even among processes of the same application. In this paper we describe the design and evaluation of scalable scheduler-conscious mutual exclusion locks, reader-writer locks, and barriers, and show that by sharing information across the kernel/application interface we can improve the performance of scheduler-oblivious implementations by more than an order of magnitude.

关键词： parallel algorithms

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Compilation of parallel multimedia computations - extending retiming theory and Amdahl's law 97

Compilation of parallel multimedia computations - extending ...

引用

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

作者： Prasanna, G.N.Srinivasa Lucent Technologies Murray Hill NJ United States

ISBN: (纸本)9780897919067

Multimedia applications operate on downstreams. A large class of multimedia applications is described by the macro-dataflow graph model. this study attempted to examine how such multimedia applications can be compiled to run efficiently on parallel machines, by optimizing both throughput (T) and latency (L), using two techniques based on task speedup functions. the first step chooses an appropriate pipeline structure for the system while the second exploits the dataset parallelism intrinsic in the period datastream, and runs multiple datasets in parallel (task/cluster multiplicity) for each clustering. Both techniques were used to compile real-time image-processing problems on an NCUBE-2 multiprocessor. the two techniques showed substantial performance gains.

关键词： Program compilers

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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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Evaluating the locality benefits of active messages

Evaluating the locality benefits of active messages

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Proceedings of the 5th acm SIGPLAN symposium on principles and practice of parallel programming

作者： Spertus, Ellen Dally, William J. Massachusetts Inst of Technology Cambridge United States

A major challenge in fine-grained computing is achieving locality without excessive scheduling overhead. We built two J-Machine implementations of a fine-grained programming model, the Berkeley threaded Abstract Machine. One implementation takes an Active Messages approach, maintaining a scheduling hierarchy in software in order to improve data cache performance. Another approach relies on the J-Machine's message queues and fast task switch, lowering the control costs at the expense of data locality. Our analysis measures the costs and benefits of each approach, for a variety of programs and cache configurations. the Active Messages implementation is strongest when miss penalties are high and for the finest-grained programs. the hardware-buffered implementation is strongest in direct-mapped caches, where it achieves substantially better instruction cache performance.

关键词： parallel processing systems

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Work-stealing with Configurable Scheduling Strategies 13

Work-stealing with Configurable Scheduling Strategies

引用

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

作者： Wimmer, Martin Traeff, Jesper Larsson Cederman, Daniel Tsigas, Philippas Vienna Univ Technol Fac Informat Res Grp Parallel Comp A-1040 Vienna Austria Chalmers Univ Technol S-41296 Gothenburg Sweden

ISBN: (纸本)9781450319225

Work-stealing systems are typically oblivious to the nature of the tasks they are scheduling. they do not know or take into account how long a task will take to execute or how many subtasks it will spawn. Moreover, task execution order is typically determined by an underlying task storage data structure, and cannot be changed. there are thus possibilities for optimizing task parallel executions by providing information on specific tasks and their preferred execution order to the scheduling system. We investigate generalizations of work-stealing and introduce a framework enabling applications to dynamically provide hints on the nature of specific tasks using scheduling strategies. Strategies can be used to independently control both local task execution and steal order. Strategies allow optimizations on specific tasks, in contrast to more conventional scheduling policies that are typically global in scope. Strategies are composable and allow different, specific scheduling choices for different parts of an application simultaneously. We have implemented a work-stealing system based on our strategy framework. A series of benchmarks demonstrates beneficial effects that can be achieved with scheduling strategies.

关键词： Algorithms Work-stealing scheduler hints strategies priorities

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