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Decentralized in-order execution of a sequential task-based code for shared-memory architectures

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The potential computational power of today multicore processors has drastically improved compared to the single processor architecture. Since the trend of increasing the processor frequency is almost over, the competition for increased performance has move ...

Springer Heidelberg2014

Leveraging Hardware Message Passing for Efficient Thread Synchronization

André Schiper, Thomas Ropars, Darko Petrovic

As the level of parallelism in manycore processors keeps increasing, providing efficient mechanisms for thread synchronization in concurrent programs is becoming a major concern. On cache-coherent shared-memory processors, synchronization efficiency is ult ...

2014

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Assoc Computing Machinery2014

Inferring Scalability from Program Pseudocode

Mihai Letia

Recent trends have led hardware manufacturers to place multiple processing cores on a single chip, making parallel programming the intended way of taking advantage of the increased processing power. However, bringing concurrency to average programmers is c ...

EPFL2014

Scalable Simulation Methodologies for Many-Core Heterogeneous Systems

Shivani Raghav

With increasing complexity and performance demands of emerging compute-intensive data-parallel workloads, many-core computing systems are becoming a popular trend in computer design. Fast and scalable simulation methods are needed to make meaningful predic ...

EPFL2014

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

Martin Odersky, Aleksandar Prokopec

We present a work-stealing algorithm for runtime scheduling of data-parallel operations in the context of shared-memory architectures on data sets with highly-irregular workloads that are not known a priori to the scheduler. This scheduler can parallelize ...

Springer-Verlag Berlin2014

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With the rise of multicores, there is a trend of supporting data-parallel collection operations in general purpose programming languages. These operations are highly parametric, incurring abstraction performance penalties. Furthermore, data-parallel operat ...

2014

Data replication, the main failure resilience strategy used for big data analytics jobs, can be unnecessarily inefficient. It can cause serious performance degradation when applied to intermediate job outputs in multi-job computations. For instance, for I/ ...

2014

Methods to explore design space for MPEG RMC codec specifications

Marco Mattavelli, Simone Casale Brunet, Endri Bezati, Ghislain Roquier, Richard Thavot, Abdallah Alaaeldin Abdelaziz Elguindy

The recent MPEG Reconfigurable Media Coding (RMC) standard aims at defining media processing specifications (e.g. video codecs) in a form that abstracts from the implementation platform, but at the same time is an appropriate starting point for implementat ...

Elsevier Science Bv2013

QoS-Driven Reconfigurable Parallel Computing for NoC-Based Clustered MPSoCs

Giovanni De Micheli, Federico Angiolini, Jaime Joven Murillo

Reconfigurable parallel computing is required to provide high-performance embedded computing, hide hardware complexity, boost software development, and manage multiple workloads when multiple applications are running simultaneously on the emerging network- ...

Institute of Electrical and Electronics Engineers2013