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Scan (or prefix sum) is a fundamental and widely used primitive in parallelcomputing. In this paper, we present LightScan, a faster parallel scanprimitive for CUDA-enabled GPUs, which investigates a hybrid model combiningintra-block computation and inter-block communication to perform a scan. Ouralgorithm employs warp shuffle functions to implement fast intra-blockcomputation and takes advantage of globally coherent L2 cache and theassociated parallel thread execution (PTX) assembly instructions to realizelightweight inter-block communication. Performance evaluation using a singleTesla K40c GPU shows that LightScan outperforms existing GPU algorithms andimplementations, and yields a speedup of up to 2.1, 2.4, 1.5 and 1.2 over theleading CUDPP, Thrust, ModernGPU and CUB implementations running on the sameGPU, respectively. Furthermore, LightScan runs up to 8.9 and 257.3 times fasterthan Intel TBB running on 16 CPU cores and an Intel Xeon Phi 5110P coprocessor,respectively. Source code of LightScan is available athttp://cupbb.sourceforge.net.

LightScan: Faster Scan Primitive on CUDA Compatible Manycore Processors