In the big data era, much real-world data can be naturally represented as graphs.
Consequently, many application domains can be modeled as graph processing. Graph …

Ray tracing has long been considered as the next-generation technology for graphics
rendering. Recently, there has been strong momentum to adopt ray tracing--based …

Recent work on Winograd-based convolution allows for a great reduction of computational
complexity, but existing implementations are limited to 2D data and a single kernel size of 3 …

The fundamental limitations of texture mapping has been a long standing problem in
computer graphics. The cost of defining and maintaining texture coordinates and the seams …

Modern out-of-order processors have increased capacity to exploit instruction level
parallelism (ILP) and memory level parallelism (MLP), eg, by using wide superscalar …

Abstract Many-Task Computing (MTC) is a common scenario for multiple parallel systems,
such as cluster, grids, cloud and supercomputers, but it is not so popular in shared memory …

Graphics Processing Unit (GPU) vendors have been scaling single-GPU architectures to
satisfy the ever-increasing user demands for faster graphics processing. However, as it gets …

Data lakes are emerging as a powerful solution for managing big data's growing volume,
variety, and velocity. Unlike traditional data storage systems, data lakes provide a flexible …

Packet tracing is a popular and efficient method for accelerating ray tracing. However,
packet traversal techniques become inefficient when they are applied to path tracing since …

To effectively utilize an ever increasing number of processors during parallel rendering,
hardware and software designers rely on sophisticated load balancing strategies. While …