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In the multicore era, the time to computational results is increasinglydetermined by how quickly operands are accessed by cores, rather than by thespeed of computation per operand. From high-performance computing (HPC) tomobile application processors, low multicore utilization rates result from theslowness of accessing off-chip operands, i.e. the memory wall. The APplicationAXcelerator (APAX) universal numerical encoder reduces computing's memory wallby compressing numerical operands (integers and floats), thereby decreasing CPUaccess time by 3:1 to 10:1 as operands stream between memory and cores. APAXencodes numbers using a low-complexity algorithm designed both for time seriessensor data and for multi-dimensional data, including images. APAX encodingparameters are determined by a profiler that quantifies the uncertaintyinherent in numerical datasets and recommends encoding parameters reflectingthis uncertainty. Compatible software, FPGA, and systemon-chip (SoC)implementations efficiently support encoding rates between 150 MByte/sec and1.5 GByte/sec at low power. On 25 integer and floating-point datasets, weachieved encoding rates between 3:1 and 10:1, with average correlation of0.999959, while accelerating computational "time to results."

Universal Numerical Encoder and Profiler Reduces Computing's Memory Wall with Software, FPGA, and SoC Implementations