CUDABlock: A GUI Programming Tool for CUDA

Hsih Hsin Lin, Chia Heng Tu, Yuan Shin Hwang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


Recent advances in graphics processing units (GPUs) have resulted in massively parallel hardware that is widely available to achieve high performance in desktop, notebook, and even mobile computer systems. While multicore technology has become the norm of modern computers, programming such systems requires the understanding of underlying hardware architecture and hence posts a great challenge for average joe programmers, who might be professionals in specific domains, but not experts in parallel programming. This paper presents a GUI tool called CUDA Block that can facilitate parallel programming on multicore computer systems. CUDA Block is developed based on the Open Blocks framework, an extendable tool for graphical programming, to construct the GUI-based programming environment for CUDA parallel computing platform. Programmers simply need to drag-n-drop blocks, fill the fields of the blocks, and connect them according to array or matrix computations that are specified by algorithms. CUDA Block can then export block-based code to CUDA programs. Furthermore, a couple of optimization constructs have also been also offered for rapid program optimization. Preliminary experimental results have shown that the generated CUDA programs can achieve reasonable speedups on GPUs. Consequently, CUDA Block can be used as a tool for fast prototyping of GPU applications or a platform for education of parallel programming.

Original languageEnglish
Title of host publicationProceedings - 2015 International Conference on Parallel Processing Workshops, The 44th Annual Conference, ICPPW 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781467375894
Publication statusPublished - 2015 Dec 8
Event44th Annual Conference of the International Conference on Parallel Processing Workshops, ICPPW 2015 - Beijing, China
Duration: 2015 Sep 12015 Sep 4

Publication series

NameProceedings of the International Conference on Parallel Processing Workshops
ISSN (Print)1530-2016


Other44th Annual Conference of the International Conference on Parallel Processing Workshops, ICPPW 2015

All Science Journal Classification (ASJC) codes

  • Software
  • Mathematics(all)
  • Hardware and Architecture


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