The power-performance trade-off is one of the major considerations in micro-architecture
design. Pipelined architecture has brought a radical change in the design to capitalize on …

GPU's SIMD architecture is a double-edged sword confronting parallel tasks with control
flow divergence. On the one hand, it provides a high performance yet power-efficient …

We argue that there is a need for substantially more research on the use of generative data
models in the validation and evaluation of visualization techniques. For example, user …

Raytracing applications have naturally high thread divergence, low warp occupancy and are
limited by memory latency. In this paper, we present an architectural enhancement called …

GPUs perform most efficiently when all threads in a warp execute the same sequence of
instructions convergently. However, when threads in a warp encounter a divergent branch …

Provided are an apparatus and a method for effectively managing threads diverged by a
conditional branch based on Single Instruction Multiple-based Data (SIMD). The appa ratus …

This paper presents a new and efficient algorithm for the calculation of sub-grid distances in
the context of a lattice Boltzmann method (LBM). LBMs usually operate on equidistant …

Nested patterns are one of the most frequently occurring algorithmic themes in GPU
applications where coarse-grained tasks are constituted from a number of fine-grained ones …

BACKGROUND Threads (ie, an abstract construct of an instance of a program executing on
a processor) have a basic guarantee of forward progress. In other words, if one thread …

Abstract While Graphics Processing Units (GPUs) show high performance for problems with
regular structures, they do not perform well for irregular tasks due to the mismatches …