2892

GPU Acceleration of Near-Minimal Logic Minimization

Ibrahim Savran, Jason D. Bakos
Computer Science and Engineering, University of South Carolina, SC 29208
Symposium on Application Accelerators in High Performance Computing, 2010

@article{savran2010gpu,

   title={GPU Acceleration of Near-Minimal Logic Minimization},

   author={Savran, I. and Bakos, J.D.},

   booktitle={Application Accelerators in High Performance Computing, 2010 Symposium, Papers},

   year={2010}

}

Download Download (PDF)   View View   Source Source   

567

views

In this paper, we describe a GPU-accelerated implementation of a logic minimization heuristic based on the near minimal approach. This algorithm has three key kernel computations, and the current version of our implementation, we adapted one of these kernels for GPU execution. In this paper we report our results gained from using NVIDIA’s CUDA development framework and an NVIDIA Tesla GPUs, achieving a nearly 10X speedup as compared to a software implementation executed on a Xeon 5500-series processor.
No votes yet.
Please wait...

* * *

* * *

Featured events

2018
November
27-30
Hida Takayama, Japan

The Third International Workshop on GPU Computing and AI (GCA), 2018

2018
September
19-21
Nagoya University, Japan

The 5th International Conference on Power and Energy Systems Engineering (CPESE), 2018

2018
September
22-24
MediaCityUK, Salford Quays, Greater Manchester, England

The 10th International Conference on Information Management and Engineering (ICIME), 2018

2018
August
21-23
No. 1037, Luoyu Road, Hongshan District, Wuhan, China

The 4th International Conference on Control Science and Systems Engineering (ICCSSE), 2018

2018
October
29-31
Nanyang Executive Centre in Nanyang Technological University, Singapore

The 2018 International Conference on Cloud Computing and Internet of Things (CCIOT’18), 2018

HGPU group © 2010-2018 hgpu.org

All rights belong to the respective authors

Contact us: