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Near Optimal Work-Stealing Tree Scheduler for Highly Irregular Data-Parallel Workloads

Publications associées (32)

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Achieving Efficient Work-Stealing for Data-Parallel Collections

Martin Odersky, Aleksandar Prokopec

In modern programming high-level data-structures are an important foundation for most applications. With the rise of the multi-core era, there is a growing trend of supporting data-parallel collection operations in general purpose programming languages and ...

2013

OpenMP parallelization of the three-dimensional distinct lattice spring model

Jiannong Fang, Liang Sun, Gaofeng Zhao, Jianbo Zhu

This paper presents the OpenMP parallel implementation of the Distinct Lattice Spring Model (DLSM). The motivation of this study is to reduce the computing time and increase the computational capacity of the DLSM code. Firstly, the basic theory of DLSM is ...

Crc Press-Taylor & Francis Group, 6000 Broken Sound Parkway Nw, Ste 300, Boca Raton, Fl 33487-2742 Usa2010

Anonymous and Fault-Tolerant Shared-Memory Computing

Rachid Guerraoui, Eric Ruppert

The vast majority of papers on distributed computing assume that processes are assigned unique identifiers before computation begins. But is this assumption necessary? What if processes do not have unique identifiers or do not wish to divulge them for re ...

2007

Anonymous and fault-tolerant shared-memory computing

Rachid Guerraoui, Eric Ruppert

Springer, Springer-Verlag2007

Fault-tolerant dynamic parallel schedules

Sebastian Gerlach

Dynamic Parallel Schedules (DPS) is a high-level framework for developing parallel applications on distributed memory computers such as clusters of PCs. DPS applications are defined by using directed acyclic flow graphs composed of user-defined operations. ...

EPFL2006

Temporal Streaming of Shared Memory

Anastasia Ailamaki, Babak Falsafi

Coherent read misses in shared-memory multiprocessors account for a substantial fraction of execution time in many important scientific and commercial workloads. We propose Temporal Streaming, to eliminate coherent read misses by streaming data to a proces ...

2005

Store-Ordered Streaming of Shared Memory

Anastasia Ailamaki, Babak Falsafi

Coherence misses in shared-memory multiprocessors account for a substantial fraction of execution time in many important scientific and commercial workloads. Memory streaming provides a promising solution to the coherence miss bottleneck because it improve ...

2005

An Evaluation of Adaptive Execution of OpenMP Task Parallel Programs

Willy Zwaenepoel

We present a system that allows task parallel OpenMP pro grams to execute on a network of workstations (NOW) with a variable number of nodes Such adaptivity, generally called adaptive parallelism, is important in a multi-user NOW environment, enabling the ...

2000

Parallelization of population-based evolutionary algorithms for combinatorial optimization problems

The objective of the present work is to make efficient parallelization of evolutionary algorithms (EA) easier in order to solve large instances of difficult combinatorial optimization problems within an acceptable amount of time, on parallel computer archi ...

EPFL1999

Combining Compile-Time and Run-Time Support for Efficient Distributed Shared Memory

Willy Zwaenepoel, Sandhya Dwarkadas

We describe an integrated compile-time and run-time system for efficient shared memory parallel computing on distributed memory machines. The combined system presents the user with a shared memory programming model, with its well-known benefits in terms of ...

1999