The use of machine learning techniques in medicine has increased in recent years due to a
rise in publicly available datasets. These techniques have been applied in high blood …

Accurate estimation of blood pressure (BP) waveforms is critical for ensuring the safety and
proper care of patients in intensive care units (ICUs) and for intraoperative hemodynamic …

Vector-matrix multiplication dominates the computation time and energy for many workloads,
particularly neural network algorithms and linear transforms (eg, the Discrete Fourier …

Developers often need to search for appropriate APIs for their programming tasks. Although
most libraries have API reference documentation, it is not easy to find appropriate APIs due …

The graphics processing unit (GPU) has become an integral part of today's mainstream
computing systems. Over the past six years, there has been a marked increase in the …

The rapid increase in the performance of graphics hardware, coupled with recent
improvements in its programmability, have made graphics hardware a compelling platform …

We present performance results for dense linear algebra using recent NVIDIA GPUs. Our
matrix-matrix multiply routine (GEMM) runs up to 60% faster than the vendor's …

GPUs have recently attracted the attention of many application developers as commodity
data-parallel coprocessors. The newest generations of GPU architecture provide easier …

Modern videogames place increasing demands on the computational and graphical
hardware, leading to novel architectures that have great potential in the context of high …

We highlight the trends leading to the increased appeal of using hybrid multicore+ GPU
systems for high performance computing. We present a set of techniques that can be used to …