Johnny Huynh

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In digital signal processors (DSPs) variables are accessed using k address registers. The problem of finding a memory layout, for a set of variables, that minimizes the address-computation overhead is known as the General Offset Assignment (GOA) Problem. The most common approach to this problem is to partition the set of variables into k partitions and to(More)
INTRODUCTION Previous research has found that the percentage of US adults with diabetes achieving a glycated hemoglobin (HbA1c) target of <7.0% with currently available treatments has been fairly constant from 2003 to 2010, remaining at just over 50% [1]. The objective of this study was to compare the most recent data (2011-2014) with earlier data to track(More)
OBJECTIVE This objective of this study was to estimate and explain the gap between clinical efficacy and real-world (RW) effectiveness of type 2 diabetes medications. RESEARCH DESIGN AND METHODS This mixed-methods quasi-experimental study used retrospective claims (Optum/Humedica) to compare the change in HbA1c of RW patients with type 2 diabetes 12(More)
In digital signal processors (DSPs), variables are accessed using <i>k</i> address registers. The problem of finding a memory layout, for a set of variables, that minimizes the address-computation overhead is known as the General Offset Assignment (GOA) problem. The most common approach to this problem is to partition the set of variables into <i>k</i>(More)
In many digital signal processors (DSPs), variables stored in memory are accessed using address registers and indirect addressing modes. The addressing code used to access these variables can have a significant impact on code size and performance. Thus, one optimization problem DSP compilers face is the problem of minimizing address-computation overhead.(More)
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