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- W3204343072 abstract "This paper presents a heterogeneous collaborative computing framework for SGD-based Matrix Factorization, named HCC-MF. HCC-MF can train the feature matrix efficiently using multiple CPUs and GPUs. It performs collaborative computing with data parallelism, where a server CPU is in charge of management and synchronization and other heterogeneous worker CPUs and worker GPUs performs calculation with their data assignments. HCC-MF adopts two data partition strategies, “data partition with heterogeneous load balance” and “data partition with hidden synchronization.” We build a time cost model to guide the data distribution among multiple workers and we design several communication optimization techniques with consideration of datasets’ and processors’ characteristics. Experimental results indicate that HCC-MF can utilize more than 88% of the platform’s computing power, yielding a speedup of 2.9 compared with advanced SGD-based MF, CuMF_SGD, on large-scale data sets." @default.
- W3204343072 created "2021-10-11" @default.
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- W3204343072 date "2021-08-09" @default.
- W3204343072 modified "2023-10-14" @default.
- W3204343072 title "A Novel Multi-CPU/GPU Collaborative Computing Framework for SGD-based Matrix Factorization" @default.
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- W3204343072 doi "https://doi.org/10.1145/3472456.3472520" @default.
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