Out-of-core diffraction algorithm using multiple SSDs for ultra-high-resolution hologram generation.

The diffraction calculation is critical in computer-generated holography (CGH). However, it becomes a performance bottleneck when generating ultra-high-resolution holograms due to limited physical memory space. We propose a novel out-of-core (OOC) diffraction algorithm that utilizes multiple solid-state drives (SSDs) to address this issue.

Out-of-core GPU 2D-shift-FFT algorithm for ultra-high-resolution hologram generation.

We propose a novel out-of-core GPU algorithm for 2D-Shift-FFT (i.e., 2D-FFT with FFT-shift) to generate ultra-high-resolution holograms.

Role of Protein Phosphatase 1 in Angiogenesis and Odontoblastic Differentiation of Human Dental Pulp Cells.

Introduction: The aims of this study were to examine the immunolocalization of protein phosphatase 1 (PP1) in developing mouse pulp tissue and to explore the role of PP1 in odontoblastic differentiation and in vitro angiogenesis in human dental pulp cells (HDPCs).

Methods: Immunolocalization of PP1 was assessed in developing mouse pulp tissue. Odontogenic differentiation was examined by alkaline phosphatase activity, alizarin red staining, and reverse transcriptase polymerase chain reaction.

Scheduling in heterogeneous computing environments for proximity queries.

We present a novel, linear programming (LP)-based scheduling algorithm that exploits heterogeneous multicore architectures such as CPUs and GPUs to accelerate a wide variety of proximity queries. To represent complicated performance relationships between heterogeneous architectures and different computations of proximity queries, we propose a simple, yet accurate model that measures the expected running time of these computations. Based on this model, we formulate an optimization problem that minimizes the largest time spent on computing resources, and propose a novel, iterative LP-based scheduling algorithm.

RACBVHs: random-accessible compressed bounding volume hierarchies.

We present a novel compressed bounding volume hierarchy (BVH) representation, random-accessible compressed bounding volume hierarchies (RACBVHs), for various applications requiring random access on BVHs of massive models. Our RACBVH representation is compact and transparently supports random access on the compressed BVHs without decompressing the whole BVH. To support random access on our compressed BVHs, we decompose a BVH into a set of clusters.

Healthcare architects' professional autonomy: interview case studies.

The purpose of this project was to understand the nature of an architect's professional power. The central questions were: (1) What is the impact of specialized knowledge on the professional autonomy of architects in general? and (2) What are the relationships between task complexity, specialized knowledge, and the professional autonomy of healthcare architects in particular? To answer these questions, this research utilized interviews and focus groups. Focus groups provided in-depth knowledge on a sub-question: How do real-world situations restrict or reinforce the professional autonomy of healthcare architects? The interviews on this sub-question were project-specific to help gain an understanding of the impact that healthcare design complexity and research utilization have on practice and professional autonomy.