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Content Provider | IEEE Xplore Digital Library |
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Author | Fobel, C. Grewal, G. Stacey, D. |
Copyright Year | 2011 |
Description | Author affiliation: University of Guelph, School of Computer Science, Guelph, ON, Canada (Fobel, C.; Grewal, G.; Stacey, D.) |
Abstract | As the precise wirelength for a given placement can only be known after routing, accurate and fast to compute wirelength estimates are required for FPGA placement algorithms. Two of the more effective wirelength estimation models are HPWL [1] and Star+ [2]. However, both of these models are expensive to compute requiring O(nm) time, where n is the number of nets and m is the average number of blocks to connect. In this paper, we show that the time to compute HPWL and Star+ can be reduced by as much as 577× and 548×, respectively, by exploiting the computational power available in modern Graphical Processing Units (GPUs). To reduce the runtime required to compute HPWL and Star+ we propose a set of data structures targeted specifically for the GPU architecture. We then investigate five different mappings of these data structures to the GPU to determine which mapping best exploits the heterogeneous memories and thread-level parallelism available on the GPU. Though our results are geared towards FPGA placement, they extend naturally to the less-constrained VLSI placement problem. |
Starting Page | 001129 |
Ending Page | 001134 |
File Size | 230485 |
Page Count | 6 |
File Format | |
ISBN | 9781424497881 |
ISSN | 08407789 |
e-ISBN | 9781424497898 |
e-ISBN | 9781424497874 |
DOI | 10.1109/CCECE.2011.6030638 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-05-08 |
Publisher Place | Canada |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Graphics processing unit Instruction sets Kernel Data structures Benchmark testing Memory management Field programmable gate arrays |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering Hardware and Architecture |
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