Modern Graphic Processing Units (GPUs) provide sufficiently flexible programming models
that understanding their performance can provide insight in designing tomorrow's manycore …

Manycore accelerators such as graphics processor units (GPUs) organize processing units
into single-instruction, multiple data “cores” to improve throughput per unit hardware cost …

We present a taxonomy and modular implementation approach for data-parallel
accelerators, including the MIMD, vector-SIMD, subword-SIMD, SIMT, and vector-thread (VT) …

Mobile computing in the form of smart phones, netbooks, and personal digital assistants has
become an integral part of our everyday lives. Moving ahead to the next generation of …

This paper considers Rigel, a programmable accelerator architecture for a broad class of
data-and task-parallel computation. Rigel comprises 1000+ hierarchically-organized cores …

Novel pervasive devices such as smart surveillance cameras and autonomous micro-UAVs
could greatly benefit from the availability of a computing device supporting embedded …

Recently, with the increasing demand for photorealistic graphics and the rapid advances in
desktop CPUs/GPUs, real-time ray tracing has attracted considerable attention …

We present RayCore, a mobile ray-tracing hardware architecture. RayCore facilitates high-
quality rendering effects, such as reflection, refraction, and shadows, on mobile devices by …

This paper studies the effect of warp sizing and scheduling on performance and efficiency in
GPUs. We propose Variable Warp Sizing (VWS) which improves the performance of …

Ray tracing naturally supports high-quality global illumination effects, but it is
computationally costly. Traversal and intersection operations dominate the computation of …