OpenCL-Based Performance Enhancement of Model Transformations

被引:0
|
作者
Fekete, Tamas [1 ]
Mezei, Gergely [1 ]
机构
[1] Budapest Univ Technol & Econ, Budapest, Hungary
关键词
OpenCL; Model-driven engineering; Graph-transformation;
D O I
10.1145/3204919.3204945
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The software industry is currently facing challenges that involve processing larger and larger amounts of data as well as having to manage this data faster. Optimizing the efficiency of an algorithm or application with different hardware and software platforms can be challenging. OpenCL offers a solution for this issue. Building on top of the OpenCL provides multi platform support and efficient usage of hardware devices having multiple computing units. Our goal is to create a model transformation tool with high performance. We built our solution based upon OpenCL. We soon realized that benefit from the advantages of using the OpenCL are not obvious. We have identified the challenges and created solutions for them. In this poster, we present an overview of our approach extended by incremental searching which also increases the performance of the computation.
引用
收藏
页码:89 / 90
页数:2
相关论文
共 50 条
  • [1] Introduction of an OpenCL-Based Model Transformation Engine
    Fekete, Tamas
    Mezei, Gergely
    SOFTWARE TECHNOLOGIES: APPLICATIONS AND FOUNDATIONS, STAF 2017, 2018, 10748 : 14 - 19
  • [2] Improving Data Partitioning Performance on OpenCL-based FPGAs
    Wang, Zeke
    He, Bingsheng
    Zhang, Wei
    2015 IEEE 23RD ANNUAL INTERNATIONAL SYMPOSIUM ON FIELD-PROGRAMMABLE CUSTOM COMPUTING MACHINES (FCCM), 2015, : 34 - 34
  • [3] Opencl-pytorch: an OpenCL-based extension of PyTorch
    Sui, Yicheng
    Sun, Yufei
    Shi, Changqing
    Wang, Haotian
    Zhang, Zhiqiang
    Wang, Jiahao
    Zhang, Yuzhi
    CCF TRANSACTIONS ON HIGH PERFORMANCE COMPUTING, 2024, 6 (03) : 287 - 300
  • [4] An OpenCL-based feature matcher
    Condello, Giovanni
    Pasteris, Paolo
    Pau, Danilo
    Sami, Mariagiovanna
    SIGNAL PROCESSING-IMAGE COMMUNICATION, 2013, 28 (04) : 345 - 350
  • [5] Improved OpenCL-Based Implementation of Social Field Pedestrian Model
    Yu, Bin
    Zhu, Ke
    Wu, Kaiteng
    Zhang, Michael
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 21 (07) : 2828 - 2839
  • [6] Discretization and OpenCL-based implementation of social field pedestrian model
    Yu, Bin
    Wu, Kaiteng
    Zhu, Ke
    Ji, Yuhan
    Zhang, Michael
    Yang, Xinwen
    NEUROCOMPUTING, 2018, 315 : 299 - 309
  • [7] Improving the Performance of OpenCL-based FPGA Accelerator for Convolutional Neural Network
    Zhang, Jialiang
    Li, Jing
    FPGA'17: PROCEEDINGS OF THE 2017 ACM/SIGDA INTERNATIONAL SYMPOSIUM ON FIELD-PROGRAMMABLE GATE ARRAYS, 2017, : 25 - 34
  • [8] Melia: A MapReduce Framework on OpenCL-Based FPGAs
    Wang, Zeke
    Zhang, Shuhao
    He, Bingsheng
    Zhang, Wei
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2016, 27 (12) : 3547 - 3560
  • [9] OpenCL-Based Erasure Coding on Heterogeneous Architectures
    Chen, Guoyang
    Zhou, Huiyang
    Shen, Xipeng
    Gahm, Josh
    Venkat, Narayan
    Booth, Skip
    Marshall, John
    2016 IEEE 27TH INTERNATIONAL CONFERENCE ON APPLICATION-SPECIFIC SYSTEMS, ARCHITECTURES AND PROCESSORS (ASAP), 2016, : 33 - 40
  • [10] Improving the Performance of Whale Optimization Algorithm through OpenCL-Based FPGA Accelerator
    Jiang, Qiangqiang
    Guo, Yuanjun
    Yang, Zhile
    Wang, Zheng
    Yang, Dongsheng
    Zhou, Xianyu
    COMPLEXITY, 2020, 2020