Titlebook: Euro-Par 2019: Parallel Processing Workshops; Euro-Par 2019 Intern Ulrich Schwardmann,Christian Boehme,Stephen L. Sco Conference proceeding

fastness

爆米花

Infinitesimal

Parallelization of Massive Multiway Stream Joins on Manycore CPUsams on a single CPU while keeping individual tuple response time and also memory footprint low. Our results show that a multiway join can perform magnitudes faster than a binary join tree. In addition, further tuning for efficient parallelism can improve performance again for a factor up?to a magnitude.

Facilities

A Fully Decentralized Autoscaling Algorithm for Stream Processing Applicationsrently, each operator maintains a view of its neighbours in the graph so as no data message is lost. The protocol is detailed and its correctness discussed. Its performance is captured through early simulation experiments.

abolish

Transparent Autonomicity for OpenMP Applicationsny performance and/or power consumption requirement. We evaluate our approach on some real applications from the PARSEC and NAS benchmarks, showing that our solution introduces a negligible performance overhead, while being able to correctly control applications’ performance and power consumption.

Esalate

Explosive

Incise

Adaptive Crown Scheduling for Streaming Tasks on Many-Core Systems with Discrete DVFS task schedule in a conservative and a relaxed form so that using them adaptively decreases power consumption, i.e. lowers chip temperature, without hurting throughput in the long run. We support our proposal by a toolchain to compute the schedules and evaluate the power reduction with synthetic task sets.

ostrish

Conference proceedings 2020r 2019, which took place in G?ttingen, Germany, in August 2019. ..The 53 full papers and 10 poster papers presented in this volume were carefully reviewed and selected from 77 submissions...Euro-Par is an annual, international conference in Europe, covering all aspects of parallel and distributed pr

Parallel

Ab?nderungen des Gesellschaftsvertragesized self-adaptive strategy that is experimentally evaluated. The proposed solution provided high-level programming abstractions, reduced the adaptation overhead, and achieved a competitive performance with the best static executions.