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PMAM'18: Proceedings of the 9th International Workshop on Programming Models and Applications for Multicores and Manycores
ACM2018 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
PPoPP '18: 23nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming Vienna Austria February 24 - 28, 2018
ISBN:
978-1-4503-5645-9
Published:
24 February 2018
Sponsors:
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Abstract

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research-article
Understanding Parallelization Tradeoffs for Linear Pipelines

Pipelining techniques execute some loops with cross-iteration dependences in parallel, by partitioning the loop body into a sequence of stages such that the data dependences are not violated. Obtaining good performance for all kinds of loops is ...

research-article
Combining PREM compilation and ILP scheduling for high-performance and predictable MPSoC execution

Many applications require both high performance and predictable timing. High-performance can be provided by COTS Multi-Core System on Chips (MPSoC), however, as cores in these systems share the memory bandwidth they are susceptible to interference from ...

research-article
Public Access
An Evaluation of Vectorization and Cache Reuse Tradeoffs on Modern CPUs

Emerging high-performance processor architectures show two key trends: longer vector units and deeper memory hierarchies. It is not always possible to exploit both vectorization and locality. Prior optimization techniques have focused on either ...

research-article
Fast and Accurate Performance Analysis of Synchronization

Understanding parallel program bottlenecks is critical to designing more efficient and performant parallel architectures. Synchronization is a prime example of a potential bottleneck, but is a necessary evil when writing parallel programs; we must ...

research-article
Supporting Fine-grained Dataflow Parallelism in Big Data Systems

Big data systems scale with the number of cores in a cluster for the parts of an application that can be executed in data parallel fashion. It has been recently reported, however, that these systems fail to translate hardware improvements, such as ...

research-article
Reduction to Band Form for the Singular Value Decomposition on Graphics Accelerators

In this paper we show that two-stage algorithms for the singular value decomposition (SVD) significantly benefit from an alternative reduction to a intermediate by-product after the first stage that consists of a band matrix with the same upper and ...

research-article
Intra-Task Parallelism in Automotive Real-Time Systems

Many recent Engine Management Systems (EMSs) have multicore processors. This results in new challenges for the developers of those systems, as most of them are not familiar with multicore programming. Additionally, many of the EMSs have real-time ...

research-article
Extending ILUPACK with a Task-Parallel Version of BiCG for Dual-GPU Servers

We target the solution of sparse linear systems via iterative Krylov subspace-based methods enhanced with the ILUPACK preconditioner on graphics processing units (GPUs). Concretely, in this work we extend ILUPACK with an implementation of the BiCG ...

research-article
VAIL: A Victim-Aware Cache Policy for Improving Lifetime of Hybrid Memory

Nowadays emerging Non-Volatile Memory (NVM) technologies are introduced to remedy the shortages of the current DRAM-based memory system. However, NVM has limited write endurance, which would severely restrict the performance of memory system. In order ...

Contributors
  • Shanghai Jiao Tong University
  • University of Otago

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  1. Proceedings of the 9th International Workshop on Programming Models and Applications for Multicores and Manycores
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          Acceptance Rates

          PMAM'18 Paper Acceptance Rate 9 of 17 submissions, 53%;
          Overall Acceptance Rate 53 of 97 submissions, 55%
          YearSubmittedAcceptedRate
          PMAM '2015853%
          PMAM'19171059%
          PMAM'1817953%
          PMAM'1714750%
          PMAM '15341956%
          Overall975355%