Genetic Diagnoses in Critical Care Because a genetic diagnosis can guide clinical management
and improve prognosis in critically ill patients, much effort has gone into developing …

Approximate computing, where computation accuracy is traded off for better performance or
higher data throughput, is one solution that can help data processing keep pace with the …

Approximate computing is an approach where reduced accuracy of results is traded off for
increased speed, throughput, or both. Loss of accuracy is not permissible in all computing …

Approximate computing can be employed for an emerging class of applications from various
domains such as multimedia, machine learning and computer vision. The approximated …

Whole-genome sequencing (WGS) can identify variants that cause genetic disease, but the
time required for sequencing and analysis has been a barrier to its use in acutely ill patients. …

Heterogeneous computing on CPUs and GPUs has traditionally used fixed roles for each
device: the GPU handles data parallel work by taking advantage of its massive number of …

Graphics processing units (GPUs) provide a low cost platform for accelerating high performance
computations. The introduction of new programming languages, such as CUDA and …

This paper introduces Input Responsive Approximation (IRA), an approach that uses a canary
input — a small program input carefully constructed to capture the intrinsic properties of …

Modern graphics processing units (GPUs) combine large amounts of parallel hardware with
fast context switching among thousands of active threads to achieve high performance. …

Heterogeneous computing on CPUs and GPUs has traditionally used fixed roles for each
device: the GPU handles data parallel work by taking advantage of its massive number of …