CarlOthello : An FPGA-Based Monte Carlo Othello player

Smerdis, Miltiadis; Malakonakis, Pavlos; Dollas, Apostolos

doi:10.1109/fpt.2010.5681471

Cited by 1 publication

(3 citation statements)

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“…Hence we did not spend time optimizing the hardware resources. In this competition, the design presented by T. Mabuchi et al was awarded with the second prize [10], and the design presented by M. Smerdis et al [11] with third prize.…”

Section: Related Workmentioning

confidence: 99%

“…The design presented in [10] proposed to use the FPGA to implement a multiprocessor system with six specific processors specifically designed to carry out the operations needed in this game. The design described in [11] follows a Monte-Carlo method that generates several random games for each possible move and selects the move that provides better score (more random games won). These two designs follow completely different paradigms than our hardware design.…”

Section: Related Workmentioning

confidence: 99%

“…Firstly, our design defeated these two other designs in a live session of the International Conference on Field Programmable Technology. In that session, our design won all the games, two against the design presented in [10] and two against the design from [11]. Secondly, as a preliminary step of this competition all the designs were tested against a reference software that was provided by the organizers.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Performance and energy efficiency analysis of a Reversi player for FPGAs and General Purpose Processors

Olivito

Tejero

Resano

et al. 2015

Microprocessors and Microsystems

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Board-game applications are frequently found in mobile devices where the computing performance and the energy budget are constrained. Since the Artificial Intelligence techniques applied in these games are computationally intensive, the applications developed for mobile systems are frequently simplistic, far from the level of equivalent applications developed for desktop computers. Currently board games are software applications executed on general purpose processors. However, they exhibit a medium degree of parallelism and a custom hardware accelerator implemented on an FPGA can take advantage of that. We have selected the well-known Reversi game as a case study because it is a very popular board game with simple rules but huge computational demands. We developed and optimized software and hardware designs for this game that apply the same classical Artificial Intelligence techniques. The applications have been executed on different representative platforms and the results demonstrate that the FPGAs implementations provide better performance, lower power consumption and, therefore, impressive energy savings. These results demonstrate that FPGAs can efficiently deal with this kind of problems.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%