The advancement of technology has enabled us to collect increasing quantities of spatial and spatiotemporal data at rapidly increasing rate through sensor systems, automa[...]

As heterogeneous parallel architectures grow increasingly complex, achieving high performance and effectively teaching parallel programming have become more challenging. [...]

This research study presents the architectural design and computational framework for an intelligent tracking sensor constructed from a multimode fiber optic. As laser li[...]

Hydrodynamic simulations have become indispensable tools for understanding complex fluid dynamics. Extracting spatiotemporal features from simulation data is essential fo[...]

The impact of transistor scaling on FPGAs is changing the role of FPGA from accelerators to a major role as processors. With this rapid development and the ability to imp[...]

As science advances, the academic community has published millions of research papers. Researchers devote time and effort to search relevant manuscripts when writing a pa[...]

Graph coloring is commonly used to schedule computations on parallel systems. Given a good estimation of the computational requirement for each task, one can refine the m[...]

Scheduling theory is a common tool to analyze the performance of parallel and distributed computing systems, such as their load balance. How to distribute the input data[...]

General-purpose processors are inefficient at dense matrix multiplication (GEMM). Large memory traffic and limited data reuse strain the pipeline. Discrete accelerators, [...]

In recent years, there has been a continuous increase in tech and programming, and as a result, more students in high school and college are going into the field of Compu[...]