The hardware portion of a system comprises all physical components, including the central processing unit, memory, motherboard, hard drive, graphics chip, network interface cards, USB and other ports, mouse, keyboard, display and more. The many varied types of hardware components combine to perform just three essential functions: inputting and outputting data (i.e., I/O), processing data, and s...

For many applications, the query speed of N -gram language models is a computational bottleneck. Although massively parallel hardware like GPUs offer a potential solution to this bottleneck, exploiting this hardware requires a careful rethinking of basic algorithms and data structures. We present the first language model designed for such hardware, using B-trees to maximize data parallelism and...

In the big data era, in-memory data analytics is an effective means of achieving high performance data processing and realizing the value of data in a timely manner. Efforts in this direction have been spent on various aspects, including in-memory algorithmic designs and system optimizations. In this paper, we propose to develop the next-generation in-memory relational database processing techn...

Reliability is one of the major challenges for high performance computing and cloud computing. Data replication is a commonly used mechanism to achieve high reliability. Unfortunately, it has a low storage efficiency among other shortcomings. As an alternative to data replication, information dispersal algorithms offer higher storage efficiency, but at the cost of being too computing-intensive ...

Rendering massive 3D models in real-time has long been recognized as a very challenging problem because of the limited computational power and memory space available in a workstation. Most existing rendering techniques, especially level of detail (LOD) processing, have suffered from their sequential execution natures, and does not scale well with the size of the models. We present a GPUbased pr...

Rapid development of laser scanning technology in past decades has resulted in a wide area of its applications. LIDAR is a system that uses this technology to gather information about distant targets. Gathered data are stored into large data sets that are further processed, visualized and analyzed. Fast and accurate visualization is the key factor when working with LIDAR point clouds. The main ...

When working with embedded environments that can automatically download components on as as-needed basis it is necessary to ensure that we do not place too much stress (CPU overload, Memory overload etc) on the system in order to achieve optimal performance for the user. In order to facilitate this one must incorporate quality of service information into the components and perform suitable test...

Pain is a key component of most rheumatologic diseases. In fibromyalgia, the importance of central nervous system pain mechanisms (for example, loss of descending analgesic activity and central sensitization) is well documented. A few studies have also noted alterations in central pain processing in osteoarthritis, and some data, including the observation of widespread pain sensitivity, suggest...