A platform-oblivious approach for heterogeneous computing: A case study with Monte Carlo-based simulation for medical applications

Shih Hao Hung, Min Yu Tsai, Bo Yi Huang, Chia Heng Tu

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

6 Citations (Scopus)

Abstract

Light is important and helpful in many medical applica- tions, such as cancer treatment. Computer modeling and simulation of light transport are often adopted to improve the quality of medical treatments. In particular, Monte Carlo-based simulations are considered to deliver accurate results, but require intensive computational resources. While several attempts to accelerate the Monte Carlo-based meth- ods for the simulation of photon transport with platform- specific programming schemes, such as CUDA on GPU and HDL on FPGA, have been proposed, the approach has lim- ited portability and prolongs software updates. In this pa- per, we parallelize the Monte Carlo modeling of light trans- port in multi-layered tissues (MCML) program with OpenCL, an open standard supported by a wide range of platforms. We characterize the performance of the parallelized MCML kernel program runs on CPU, GPU and FPGA. Compared to platform-specific programming schemes, our platform- oblivious approach provides a unified, highly portable code and delivers competitive performance and power efficiency.

Original languageEnglish
Title of host publicationFPGA 2016 - Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays
PublisherAssociation for Computing Machinery, Inc
Pages42-47
Number of pages6
ISBN (Electronic)9781450338561
DOIs
Publication statusPublished - 2016 Feb 21
Event2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, FPGA 2016 - Monterey, United States
Duration: 2016 Feb 212016 Feb 23

Publication series

NameFPGA 2016 - Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays

Other

Other2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, FPGA 2016
CountryUnited States
CityMonterey
Period16-02-2116-02-23

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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