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In 2013 Intel introduced the Xeon Phi, a new parallel co-processor board. TheXeon Phi is a cache-coherent many-core shared memory architecture claimingCPU-like versatility, programmability, high performance, and power efficiency.The first published micro-benchmark studies indicate that many of Intel'sclaims appear to be true. The current paper is the first study on the Phi of acomplex artificial intelligence application. It contains an open source MCTSapplication for playing tournament quality Go (an oriental board game). Wereport the first speedup figures for up to 240 parallel threads on a realmachine, allowing a direct comparison to previous simulation studies. After asubstantial amount of work, we observed that performance scales well up to 32threads, largely confirming previous simulation results of this Go program,although the performance surprisingly deteriorates between 32 and 240 threads.Furthermore, we report (1) unexpected performance anomalies between the XeonPhi and Xeon CPU for small problem sizes and small numbers of threads, and (2)that performance is sensitive to scheduling choices. Achieving good performanceon the Xeon Phi for complex programs is not straightforward; it requires a deepunderstanding of (1) search patterns, (2) of scheduling, and (3) of thearchitecture and its many cores and caches. In practice, the Xeon Phi is lessstraightforward to program for than originally envisioned by Intel.

Performance analysis of a 240 thread tournament level MCTS Go program on the Intel Xeon Phi