Abstract: A display device for measuring the end-to-end latency of a computing system. The computing system includes an input device, a computing device, and the display device. The display device is directly connected with the input device and receives input data packets generated by the input device in response to received user input events. The display device passes the input packets to the computing device for graphics processing. The display device measures the end-to-end latency comprising the sum of three latencies. A first latency comprises an input delay of the input device. A second latency comprises an amount of time between generation of the input packet and a corresponding change in pixel values caused by the input event at the display device. A third latency comprises a display latency. The display device also displays latency information associated with the measured end-to-end latency.

Abstract: A display device for measuring the end-to-end latency of a computing system. The computing system includes an input device, a computing device, and the display device. The display device is directly connected with the input device and receives input data packets generated by the input device in response to received user input events. The display device passes the input packets to the computing device for graphics processing. The display device measures the end-to-end latency comprising the sum of three latencies. A first latency comprises an input delay of the input device. A second latency comprises an amount of time between generation of the input packet and a corresponding change in pixel values caused by the input event at the display device. A third latency comprises a display latency. The display device also displays latency information associated with the measured end-to-end latency.

Abstract: A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of parallel-processing computer systems to accelerate/optimize numeric and array-intensive computations in their application programs. This enables greatly increased performance of high-performance computing (HPC) applications.

Abstract: A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of parallel-processing computer systems to accelerate/optimize numeric and array-intensive computations in their application programs. This enables greatly increased performance of high-performance computing (HPC) applications.

Abstract: A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of parallel-processing computer systems to accelerate/optimize numeric and array-intensive computations in their application programs. This enables greatly increased performance of high-performance computing (HPC) applications.

Abstract: A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of parallel-processing computer systems to accelerate/optimize numeric and array-intensive computations in their application programs. This enables greatly increased performance of high-performance computing (HPC) applications.

Abstract: A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of parallel-processing computer systems to accelerate/optimize numeric and array-intensive computations in their application programs. This enables greatly increased performance of high-performance computing (HPC) applications.

Abstract: A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of parallel-processing computer systems to accelerate/optimize numeric and array-intensive computations in their application programs. This enables greatly increased performance of high-performance computing (HPC) applications.

Abstract: A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of parallel-processing computer systems to accelerate/optimize numeric and array-intensive computations in their application programs. This enables greatly increased performance of high-performance computing (HPC) applications.

Abstract: A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of parallel-processing computer systems to accelerate/optimize numeric and array-intensive computations in their application programs. This enables greatly increased performance of high-performance computing (HPC) applications.

Abstract: A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of parallel-processing computer systems to accelerate/optimize numeric and array-intensive computations in their application programs. This enables greatly increased performance of high-performance computing (HPC) applications.

Abstract: A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of parallel-processing computer systems to accelerate/optimize numeric and array-intensive computations in their application programs. This enables greatly increased performance of high-performance computing (HPC) applications.

Abstract: A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of parallel-processing computer systems to accelerate/optimize numeric and array-intensive computations in their application programs. This enables greatly increased performance of high-performance computing (HPC) applications.

Abstract: A runtime system implemented in accordance with the present invention provides an application platform for parallel-processing computer systems. Such a runtime system enables users to leverage the computational power of parallel-processing computer systems to accelerate/optimize numeric and array-intensive computations in their application programs. This enables greatly increased performance of high-performance computing (HPC) applications.

Abstract: A system and method create and manipulate variables having both a numeric value and a units designation. The units designation is a vector of unit exponents which are operated upon consistent with operations on values. Exactly defined and underdefined quantities are stored in data structures of values and unit designations. Operations on underdefined quantities may result in expression data structures of operand quantities, operators and unit designations. The system allows the creation of variables having a unit specification and the transparent manipulation of such a variable during conventional numerical and logical operations. The system automatically signals an error condition when an operation is attempted on a set of variables having incompatible units designations. Error conditions can be detected at both compile-time and run-time. The system also includes both a predetermined dictionary of units and a customizable dictionary of units.

Abstract: A method for registering a pattern image with a reference image is provided. The pattern image and the reference image differ from each other by a Rotation-Scale-Translation (RST) transformation defined by a scale factor s, a rotation factor &phgr;, and a translation vector (&Dgr;x, &Dgr;y). A Fourier-Mellin invariant is used to perform image registration by isolating the rotation, scale and transformation parameters of the RST transformation between the reference image r and the pattern image p.