Results 81 to 90 of about 3,115,284 (271)

A Comparison of some recent Task-based Parallel Programming Models [PDF]

, 2010
The need for parallel programming models that are simple to use and at the same time efficient for current ant future parallel platforms has led to recent attention to task-based models such as Cilk++, Intel TBB and the task concept in OpenMP version 3.0.
Brorsson, Mats, Faxén, Karl-Filip, Podobas, Artur   +2 more
core   +1 more source

Design of FPGA-Based Accelerator for Convolutional Neural Network under Heterogeneous Computing Framework with OpenCL

International Journal of Reconfigurable Computing, 2018
CPU has insufficient resources to satisfy the efficient computation of the convolution neural network (CNN), especially for embedded applications. Therefore, heterogeneous computing platforms are widely used to accelerate CNN tasks, such as GPU, FPGA ...
Li Luo, Yakun Wu, Fei Qiao, Yi Yang, Qi Wei, Xiaobo Zhou, Yongkai Fan, Shuzheng Xu, Xinjun Liu, Huazhong Yang   +9 more
doaj   +1 more source

Extending the Nested Parallel Model to the Nested Dataflow Model with Provably Efficient Schedulers

, 2016
The nested parallel (a.k.a. fork-join) model is widely used for writing parallel programs. However, the two composition constructs, i.e. "$\parallel$" (parallel) and "$;$" (serial), are insufficient in expressing "partial dependencies" or "partial ...
Dinh, David, Simhadri, Harsha Vardhan, Tang, Yuan   +2 more
core   +1 more source

Factoring out ordered sections to expose thread-level parallelism [PDF]

, 2009
With the rise of multi-core processors, researchers are taking a new look at extending the applicability auto-parallelization techniques. In this paper, we identify a dependence pattern on which autoparallelization currently fails.
De Bosschere, Koen, Rul, Sean, Vandierendonck, Hans   +2 more
core   +1 more source

Learning weakly supervised multimodal phoneme embeddings

, 2017
Recent works have explored deep architectures for learning multimodal speech representation (e.g. audio and images, articulation and audio) in a supervised way. Here we investigate the role of combining different speech modalities, i.e.
Chaabouni, Rahma, Dunbar, Ewan, Dupoux, Emmanuel, Zeghidour, Neil   +3 more
core   +2 more sources

Scalable deep text comprehension for Cancer surveillance on high-performance computing

BMC Bioinformatics, 2018
Background Deep Learning (DL) has advanced the state-of-the-art capabilities in bioinformatics applications which has resulted in trends of increasingly sophisticated and computationally demanding models trained by larger and larger data sets.
John X. Qiu, Hong-Jun Yoon, Kshitij Srivastava, Thomas P. Watson, J. Blair Christian, Arvind Ramanathan, Xiao C. Wu, Paul A. Fearn, Georgia D. Tourassi   +8 more
doaj   +1 more source

Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems

IEEE Access, 2020
Latent fingerprint identification is one of the most essential identification procedures in criminal investigations. Addressing this task is challenging as (i) it requires analyzing massive databases in reasonable periods and (ii) it is commonly solved ...
Andres J. Sanchez-Fernandez, Luis F. Romero, Daniel Peralta, Miguel Angel Medina-Perez, Yvan Saeys, Francisco Herrera, Siham Tabik   +6 more
doaj   +1 more source

Distributed Memory Implementation of Bron-Kerbosch Algorithm

IEEE Access
This paper proposes a parallel implementation of the Bron-Kerbosch algorithm, which finds all maximal cliques in large, complex graphs using CPU and thread-level parallelism and distributed memory with multiple cores. With the growing size and complexity
Tejas Ravindra Rote, Murugan Krishnammorthy, Ansh Bhatia, Rishu Yadav, S. P. Raja   +4 more
doaj   +1 more source

Towards an Adaptive Skeleton Framework for Performance Portability [PDF]

, 2015
The proliferation of widely available, but very different, parallel architectures makes the ability to deliver good parallel performance on a range of architectures, or performance portability, highly desirable.
Maier, Patrick, Morton, John Magnus, Trinder, Phil   +2 more
core  

transactional tasks parallelism in software transactions

, 2016
Many programming languages, such as Clojure, Scala, and Haskell, support different concurrency models. In practice these models are often combined, however the semantics of the combinations are not always well-defined. In this paper, we study the combination of futures and Software Transactional Memory.
Swalens, Janwillem, De Koster, Joeri, De Meuter, Wolfgang   +2 more
openaire   +6 more sources