Using Graphical Processing Units for Deterministic Single Machine Scheduling Problems

Krisztian Mihaly, Oliver Hornyak
SAP Hungary Ltd., Hungary
Production Systems and Information Engineering, Volume 6, pp. 27-40, 2013


   author={MIH{‘A}LY, KRISZTI{‘A}N and HORNY{‘A}K, OLIV{‘E}R},



Download Download (PDF)   View View   Source Source   



This paper gives an introduction to how graphical processing units can be used in non-graphical related problems or tasks. First a history of GPU is provided. The next part focuses on GPU programming. A brief description is given about the available hardware facilities and the available programming languages. As an initial result of the project an easy and well-known scheduling algorithm was implemented for deterministic, single machine models. To check the performance achievement both the CPU and GPU code were implemented. Finally, some of the performance measurements are presented.
VN:F [1.9.22_1171]
Rating: 0.0/5 (0 votes cast)

* * *

* * *

Follow us on Twitter

HGPU group

1665 peoples are following HGPU @twitter

Like us on Facebook

HGPU group

339 people like HGPU on Facebook

* * *

Free GPU computing nodes at hgpu.org

Registered users can now run their OpenCL application at hgpu.org. We provide 1 minute of computer time per each run on two nodes with two AMD and one nVidia graphics processing units, correspondingly. There are no restrictions on the number of starts.

The platforms are

Node 1
  • GPU device 0: nVidia GeForce GTX 560 Ti 2GB, 822MHz
  • GPU device 1: AMD/ATI Radeon HD 6970 2GB, 880MHz
  • CPU: AMD Phenom II X6 @ 2.8GHz 1055T
  • RAM: 12GB
  • OS: OpenSUSE 13.1
  • SDK: nVidia CUDA Toolkit 6.5.14, AMD APP SDK 3.0
Node 2
  • GPU device 0: AMD/ATI Radeon HD 7970 3GB, 1000MHz
  • GPU device 1: AMD/ATI Radeon HD 5870 2GB, 850MHz
  • CPU: Intel Core i7-2600 @ 3.4GHz
  • RAM: 16GB
  • OS: OpenSUSE 12.3
  • SDK: AMD APP SDK 3.0

Completed OpenCL project should be uploaded via User dashboard (see instructions and example there), compilation and execution terminal output logs will be provided to the user.

The information send to hgpu.org will be treated according to our Privacy Policy

HGPU group © 2010-2015 hgpu.org

All rights belong to the respective authors

Contact us: