---
_id: '165'
abstract:
- lang: eng
  text: A broad spectrum of applications can be accelerated by offloading computation
    intensive parts to reconfigurable hardware. However, to achieve speedups, the
    number of loop it- erations (trip count) needs to be sufficiently large to amortize
    offloading overheads. Trip counts are frequently not known at compile time, but
    only at runtime just before entering a loop. Therefore, we propose to generate
    code for both the CPU and the coprocessor, and defer the offloading decision to
    the application runtime. We demonstrate how a toolflow, based on the LLVM compiler
    framework, can automatically embed dynamic offloading de- cisions into the application
    code. We perform in-depth static and dynamic analysis of pop- ular benchmarks,
    which confirm the general potential of such an approach. We also pro- pose to
    optimize the offloading process by decoupling the runtime decision from the loop
    execution (decision slack). The feasibility of our approach is demonstrated by
    a toolflow that automatically identifies suitable data-parallel loops and generates
    code for the FPGA coprocessor of a Convey HC-1. We evaluate the integrated toolflow
    with representative loops executed for different input data sizes.
author:
- first_name: Gavin Francis
  full_name: Vaz, Gavin Francis
  id: '30332'
  last_name: Vaz
- first_name: Heinrich
  full_name: Riebler, Heinrich
  id: '8961'
  last_name: Riebler
- first_name: Tobias
  full_name: Kenter, Tobias
  id: '3145'
  last_name: Kenter
- first_name: Christian
  full_name: Plessl, Christian
  id: '16153'
  last_name: Plessl
  orcid: 0000-0001-5728-9982
citation:
  ama: Vaz GF, Riebler H, Kenter T, Plessl C. Potential and Methods for Embedding
    Dynamic Offloading Decisions into Application Code. <i>Computers and Electrical
    Engineering</i>. 2016;55:91-111. doi:<a href="https://doi.org/10.1016/j.compeleceng.2016.04.021">10.1016/j.compeleceng.2016.04.021</a>
  apa: Vaz, G. F., Riebler, H., Kenter, T., &#38; Plessl, C. (2016). Potential and
    Methods for Embedding Dynamic Offloading Decisions into Application Code. <i>Computers
    and Electrical Engineering</i>, <i>55</i>, 91–111. <a href="https://doi.org/10.1016/j.compeleceng.2016.04.021">https://doi.org/10.1016/j.compeleceng.2016.04.021</a>
  bibtex: '@article{Vaz_Riebler_Kenter_Plessl_2016, title={Potential and Methods for
    Embedding Dynamic Offloading Decisions into Application Code}, volume={55}, DOI={<a
    href="https://doi.org/10.1016/j.compeleceng.2016.04.021">10.1016/j.compeleceng.2016.04.021</a>},
    journal={Computers and Electrical Engineering}, publisher={Elsevier}, author={Vaz,
    Gavin Francis and Riebler, Heinrich and Kenter, Tobias and Plessl, Christian},
    year={2016}, pages={91–111} }'
  chicago: 'Vaz, Gavin Francis, Heinrich Riebler, Tobias Kenter, and Christian Plessl.
    “Potential and Methods for Embedding Dynamic Offloading Decisions into Application
    Code.” <i>Computers and Electrical Engineering</i> 55 (2016): 91–111. <a href="https://doi.org/10.1016/j.compeleceng.2016.04.021">https://doi.org/10.1016/j.compeleceng.2016.04.021</a>.'
  ieee: 'G. F. Vaz, H. Riebler, T. Kenter, and C. Plessl, “Potential and Methods for
    Embedding Dynamic Offloading Decisions into Application Code,” <i>Computers and
    Electrical Engineering</i>, vol. 55, pp. 91–111, 2016, doi: <a href="https://doi.org/10.1016/j.compeleceng.2016.04.021">10.1016/j.compeleceng.2016.04.021</a>.'
  mla: Vaz, Gavin Francis, et al. “Potential and Methods for Embedding Dynamic Offloading
    Decisions into Application Code.” <i>Computers and Electrical Engineering</i>,
    vol. 55, Elsevier, 2016, pp. 91–111, doi:<a href="https://doi.org/10.1016/j.compeleceng.2016.04.021">10.1016/j.compeleceng.2016.04.021</a>.
  short: G.F. Vaz, H. Riebler, T. Kenter, C. Plessl, Computers and Electrical Engineering
    55 (2016) 91–111.
date_created: 2017-10-17T12:41:24Z
date_updated: 2023-09-26T13:26:38Z
ddc:
- '040'
department:
- _id: '27'
- _id: '518'
doi: 10.1016/j.compeleceng.2016.04.021
file:
- access_level: closed
  content_type: application/pdf
  creator: florida
  date_created: 2018-03-21T12:45:47Z
  date_updated: 2018-03-21T12:45:47Z
  file_id: '1544'
  file_name: 165-1-s2.0-S0045790616301021-main.pdf
  file_size: 3037854
  relation: main_file
  success: 1
file_date_updated: 2018-03-21T12:45:47Z
has_accepted_license: '1'
intvolume: '        55'
language:
- iso: eng
page: 91-111
project:
- _id: '1'
  grant_number: '160364472'
  name: SFB 901
- _id: '14'
  grant_number: '160364472'
  name: SFB 901 - Subprojekt C2
- _id: '4'
  name: SFB 901 - Project Area C
- _id: '34'
  grant_number: '610996'
  name: Self-Adaptive Virtualisation-Aware High-Performance/Low-Energy Heterogeneous
    System Architectures
publication: Computers and Electrical Engineering
publication_identifier:
  issn:
  - 0045-7906
publisher: Elsevier
quality_controlled: '1'
status: public
title: Potential and Methods for Embedding Dynamic Offloading Decisions into Application
  Code
type: journal_article
user_id: '15278'
volume: 55
year: '2016'
...