Today's high-performance computing (HPC) systems are largely structured based on traditional central processing units (CPUs) with tightly coupled general-purpose graphics processing units (GPUs, which can be considered domain-specific accelerators). GPUs have a different programming model than CPUs and are only efficient in exploiting spatial parallelism...

Today's high-performance computing (HPC) systems are largely structured based on traditional central processing units (CPUs) with tightly coupled general-purpose graphics processing units (GPUs, which can be considered domain-specific accelerators). GPUs have a different programming model than CPUs and are only efficient in exploiting spatial parallelism...

Today's high-performance computing (HPC) systems are largely structured based on traditional central processing units (CPUs) with tightly coupled general-purpose graphics processing units (GPUs, which can be considered domain-specific accelerators). GPUs have a different programming model than CPUs and are only efficient in exploiting spatial parallelism...

­Solving large symmetric sparse linear systems using sparse Cholesky factorization plays a pivotal role in many scientific computing and high-performance computing (HPC) applications. The existing computational solutions to sparse Cholesky factorization based on CPUs and GPUs suffer from very limited performance for to two primary reasons. First,...

Semiconductor lasers able to emit over the full visible color spectrum have a wide range of practical applications such as solid-state lighting, full-color displays, visible color communications, and multi-color fluorescence sensing. To the human eye, light with a mixture of four monochromatic lasers is visually equivalent to a white illuminant. Current...