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This paper improves upon Job-Level (JL) computing, a general distributed computing approach. In JL computing, a client maintains the overall search tree and parcels the overall search into coarse-grained jobs, which are then each calculated by pre-existing game-playing programs. In order to support large-scale problems such as solving 7×7 killall-Go, or building opening books for 9×9 Go or Connect6,...
Recently, Wu et al. introduced a general approach based on distributed computing named Job-Level (JL) Computing. JL Computing has been successfully used to construct the opening books of game-playing programs.? In order to support large-scale computing problems such as solving 7×7 killall-Go, or building opening books for 9×9 Go or Connect6, record databases are used to store JL computing results...
The Google DeepMind challenge match in March 2016 was a historic achievement for computer Go development. This article discusses the development of computational intelligence (CI) and its relative strength in comparison with human intelligence for the game of Go. We first summarize the milestones achieved for computer Go from 1998 to 2016. Then, the computer Go programs that have participated in previous...
Following the DSRC vehicular communications IEEE802.11p physical layer standards, this paper presents the required computing time estimations of baseband processing modules on the DSP platform and uses this estimation to explain the decision of choosing to implement the 64 point IFFT/FFT module with the FPGA chip. The IFFT/FFT processing time of OFDM modulator/demodulator circuits in applications...
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