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Numeric simulations often generate large amounts of data that need to be stored or sent to other compute nodes. This paper investigates whether GPUs are powerful enough to make real-time data compression and decompression possible in such environments, that is, whether they can operate at the 32-or 40-Gb/s throughput of emerging network cards. The fastest parallel CPUbased floating-point data compression algorithm operates below 20 Gb/s on eight Xeon cores, which is significantly slower thandoi:10.1145/1964179.1964189 dblp:conf/asplos/ONeilB11 fatcat:u2mohscypfba5ombgcjxivzn7m