Results 71 to 80 of about 27,095 (213)
Artifact for Euro-Par 2020 paper Accelerating Nested Data Parallelism: Preserving Regularity
This artifact is concerned with Section 5 (Evaluation) of the paper "Accelerating Nested Data Parallelism: Preserving Regularity". It runs benchmarks of a nested quicksort and a nested fourier transformation in Accelerate comparing the results with ...
de Wolff, Ivo Gabe +5 more
core +1 more source
A Pipeline-Based ODE Solving Framework
The traditional parallel solving methods of ordinary differential equations (ODE) are mainly classified into task-parallelism, data-parallelism, and instruction-level parallelism.
Ruixia Cao, Shangjun Hou, Lin Ma
doaj +1 more source
An object-oriented approach to nested data parallelism
This paper describes an implementation technique for integrating nested data parallelism into an object-oriented language. Data-parallel programming employs sets of data called 'collections' and expresses parallelism as operations performed over the ...
Sheffler, Thomas J. +1 more
core +1 more source
Partitioning functions for steteful data parallelism in stream processing
In this paper we study partitioning functions for stream processing systems that employ stateful data parallelism to improve application throughput. In particular, we develop partitioning functions that are effective under workloads where the domain of ...
Gedik, B.
core +1 more source
Compositional Compilation for Sparse, Irregular Data Parallelism [PDF]
While contemporary GPU architectures are heavily biased towards the execution of predictably regular data parallelism, many real application domains are based around data structures which are naturally sparse and irregular.
Harries, Adam +4 more
core
Beyond Data Parallelism: The Advantages of Multiple Parallelizations in Combinatorial Search
Two popular myths concerning parallel programming are: (1) there is a ``best'' parallelization for a given application on a given class of machine and (2) loop-based data parallelism captures all useful parallelizations.
Crovella, Mark E. +3 more
core
Systematic exploitation of data parallelism in hardware synthesis of DSP applications
In this paper, we describe an approach that we explored for low-power synthesis and optimization of digital signal, image, and video processing (DSP) applications.
Mainak Sen, Shuvra S. Bhattacharyya
core
Support for Data Parallelism in the CAL Actor Language
With the arrival of heterogeneous manycores comprising various features to support task, data and instruction-level parallelism, developing applications that take full advantage of the hardware parallel features has become a major challenge.
Gebrewahid, Essayas +11 more
core +1 more source
Ensuring precise alignment of the optical axis is critical for achieving high-quality imaging in continuous zoom cameras. However, existing methods for measuring optical axis parallelism often lack accuracy and fail to assess parallelism across the ...
Chanchan Kang +5 more
doaj +1 more source
Integrating Task and Data Parallelism with the Collective Communication Archetype [PDF]
A parallel program archetype aids in the development of reliable, efficient parallel applications with common computation/communication structures by providing stepwise refinement methods and code libraries specific to the structure.
Meiron, Daniel I. +8 more
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